Unparameterised multi-modal data, high order signatures, and the mathematics of data science
Lead Research Organisation:
University of Oxford
Department Name: Mathematical Institute
Abstract
Our ancestors communicated by scratching on the walls of caves, took navigational decisions by looking at the stars and made medical diagnoses simply by listening to patients. A great deal of information is captured in these simple data streams; our ability to capture, process, and decide actions based on information pervades all aspects of human life.
Today, one has the same challenges but the information is much more voluminous and the expectations for the outcomes far higher. When we write using our finger on an iphone, as our voice is recorded for doctors to assess our mood, when video is analysed for abnormal actions, or as telescopes look deep into the galaxies for black holes, stars, planets,... technically sophisticated systems translate streams of sequential data into processed and recognised patterns that can be actioned.
Our relatively new ability to offload data analysis onto massive digital systems is transforming our world. However huge challenges remain. Groundbreaking mathematical innovation is rapidly expanding our depth of understanding in one area. This project aims to build on successful pilot collaborations to create tools that really merge this new maths with the existing data science, and then apply them to exemplar challenges to produce a more effective abstraction of the "capture, process, and decide" process. The evidence is now overwhelming that dimension reduction and high order methods can capture sequential data very effectively. The maths underpinning this provided the crucial step that resulted in the extension of Newton's calculus beyond Itô's theory to rough paths; its mathematical articulation, the signature of a stream, has significantly enhanced deep learning methods to develop online handwriting recognition with state-of-the-art accuracy.
This project has the goal of developing and embedding the abstract mathematics around rough paths and complex streamed data into a few of the richest challenges involved in the "capture, process, and decide" task. The investigators and the world-leading project partners are connected by the shared challenge of improving this task with complex datasets of importance in four contexts:
* Health
* Human interfaces
* Human Actions
* Observing the Universe
The specific base challenges we start from are:
1) Use face, speech data, with other self-reported mood data to better detect when an intervention to support someone with mental illness is or is not working.
2) When a person writes (in Chinese) with their finger on a sat-nav device or mobile phone, to better transcribe this signal into digital characters accurately and economically, and to recognise who wrote it.
3) By observing evolving images in video data, develop tools that can classify the human actions.
4) Develop measurement instruments, and nonlinear processing techniques for astronomical data that improve detection sensitivity for transients and make new observations, e.g. for planets orbiting stars.
The technical challenges are deeply interconnected. This project is a near unique opportunity to bring these together to produce a validated common methodology, and to create substantial cross-fertilization. One recent example of how this can happen is worth highlighting. In 2013, Ben Graham (then University of Warwick, now Facebook) used the signature to quantify strokes from Chinese hand-written characters parsimoniously and efficiently. The capture stage is subtle and has appreciably improved the accuracy of the recognition process; the China-based partners on this project subsequently created an app which has been downloaded millions of times.
While the handwriting context for rough paths is very well defined and successful, understanding motion of people in videos is at a successful but early stage! The contexts are clearly related, and link through faces with the mental health challenge, and through occlusion with transients in astronomy. It is all joined up!
Today, one has the same challenges but the information is much more voluminous and the expectations for the outcomes far higher. When we write using our finger on an iphone, as our voice is recorded for doctors to assess our mood, when video is analysed for abnormal actions, or as telescopes look deep into the galaxies for black holes, stars, planets,... technically sophisticated systems translate streams of sequential data into processed and recognised patterns that can be actioned.
Our relatively new ability to offload data analysis onto massive digital systems is transforming our world. However huge challenges remain. Groundbreaking mathematical innovation is rapidly expanding our depth of understanding in one area. This project aims to build on successful pilot collaborations to create tools that really merge this new maths with the existing data science, and then apply them to exemplar challenges to produce a more effective abstraction of the "capture, process, and decide" process. The evidence is now overwhelming that dimension reduction and high order methods can capture sequential data very effectively. The maths underpinning this provided the crucial step that resulted in the extension of Newton's calculus beyond Itô's theory to rough paths; its mathematical articulation, the signature of a stream, has significantly enhanced deep learning methods to develop online handwriting recognition with state-of-the-art accuracy.
This project has the goal of developing and embedding the abstract mathematics around rough paths and complex streamed data into a few of the richest challenges involved in the "capture, process, and decide" task. The investigators and the world-leading project partners are connected by the shared challenge of improving this task with complex datasets of importance in four contexts:
* Health
* Human interfaces
* Human Actions
* Observing the Universe
The specific base challenges we start from are:
1) Use face, speech data, with other self-reported mood data to better detect when an intervention to support someone with mental illness is or is not working.
2) When a person writes (in Chinese) with their finger on a sat-nav device or mobile phone, to better transcribe this signal into digital characters accurately and economically, and to recognise who wrote it.
3) By observing evolving images in video data, develop tools that can classify the human actions.
4) Develop measurement instruments, and nonlinear processing techniques for astronomical data that improve detection sensitivity for transients and make new observations, e.g. for planets orbiting stars.
The technical challenges are deeply interconnected. This project is a near unique opportunity to bring these together to produce a validated common methodology, and to create substantial cross-fertilization. One recent example of how this can happen is worth highlighting. In 2013, Ben Graham (then University of Warwick, now Facebook) used the signature to quantify strokes from Chinese hand-written characters parsimoniously and efficiently. The capture stage is subtle and has appreciably improved the accuracy of the recognition process; the China-based partners on this project subsequently created an app which has been downloaded millions of times.
While the handwriting context for rough paths is very well defined and successful, understanding motion of people in videos is at a successful but early stage! The contexts are clearly related, and link through faces with the mental health challenge, and through occlusion with transients in astronomy. It is all joined up!
Planned Impact
The approach to generating scientific impact in this project is, at its heart, based on creating an effective eco-structure for incredibly talented ECRs to innovate in an incredibly exciting context where progress translates into immediate outcomes - in academia and in industry. One technical outcome from this process should be new systematic approaches to efficiently learning to translate short term (and potentially transient) information into longer term interpretation.
It is immediately clear that such innovation would directly address the applied challenges. It could allow us to find better feedback on how people are coping with mental challenges, and perhaps even lead to new opportunities for diagnosis in primary care; it could allow tools for identifying danger for the public through collaborations with the health and safety community; it could allow us to identify a new range of astronomical features. At the same time, the project would consolidate mathematical research in rough path theory into a completely new more applied direction.
This project is an outstanding opportunity to build bridges between high quality, fundamental mathematics and data science. It can pull three top mathematics departments together in an exciting theme and through the momentum of cooperation. It will change the careers and culture of the (already excellent) younger researchers. The researchers will have to bridge between mathematical innovation and the exemplar contexts; they will be given support to this, but it will be non-negotiable, there will be no room for silos or comfort zones. The PDRAs will spend considerable time (at least 25%) with team leading the applied challenge, and will come out of this project exceptionally technically skilled in blending mathematical ideas with applied problems in data science.
The gains from the project will be sustained through creating this cohort of ECRs who are comfortable in two strategically important disciplines. It will leverage existing strength to help keep the UK mathematical world leading in a way that is deeply productive for the subject's links with applications.
The Alan Turing Institute will be used as a conduit to transfer ideas between the researchers, between the project and other data scientists, and between the project and mission-critical business activity and to provide an environment for the software engineer. The project will create broadly usable software. An ambition would be the development of a widely used package for scikit-learn that could be integrated into the broader machine learning environment built out from the current python extension esig.
Quantifying this impact is hard, but one can for example note that the SKA has been projected to cost 2 billion euros. The other areas have similar potential.
It is immediately clear that such innovation would directly address the applied challenges. It could allow us to find better feedback on how people are coping with mental challenges, and perhaps even lead to new opportunities for diagnosis in primary care; it could allow tools for identifying danger for the public through collaborations with the health and safety community; it could allow us to identify a new range of astronomical features. At the same time, the project would consolidate mathematical research in rough path theory into a completely new more applied direction.
This project is an outstanding opportunity to build bridges between high quality, fundamental mathematics and data science. It can pull three top mathematics departments together in an exciting theme and through the momentum of cooperation. It will change the careers and culture of the (already excellent) younger researchers. The researchers will have to bridge between mathematical innovation and the exemplar contexts; they will be given support to this, but it will be non-negotiable, there will be no room for silos or comfort zones. The PDRAs will spend considerable time (at least 25%) with team leading the applied challenge, and will come out of this project exceptionally technically skilled in blending mathematical ideas with applied problems in data science.
The gains from the project will be sustained through creating this cohort of ECRs who are comfortable in two strategically important disciplines. It will leverage existing strength to help keep the UK mathematical world leading in a way that is deeply productive for the subject's links with applications.
The Alan Turing Institute will be used as a conduit to transfer ideas between the researchers, between the project and other data scientists, and between the project and mission-critical business activity and to provide an environment for the software engineer. The project will create broadly usable software. An ambition would be the development of a widely used package for scikit-learn that could be integrated into the broader machine learning environment built out from the current python extension esig.
Quantifying this impact is hard, but one can for example note that the SKA has been projected to cost 2 billion euros. The other areas have similar potential.
Organisations
- University of Oxford (Lead Research Organisation)
- UNIVERSITY OF OXFORD (Collaboration)
- Alan Turing Institute (Collaboration)
- South China University of Technology (Collaboration, Project Partner)
- University of Cambridge (Project Partner)
- Inria Grenoble - Rhône-Alpes research centre (Project Partner)
- The Alan Turing Institute (Project Partner)
- Health and Safety Executive (Project Partner)
- ARM (United Kingdom) (Project Partner)
- Spherical Defence (Project Partner)
- Nvidia (United States) (Project Partner)
Publications
Cass T
(2021)
Long-time behaviour of degenerate diffusions: UFG-type SDEs and time-inhomogeneous hypoelliptic processes
in Electronic Journal of Probability
Cass T
(2022)
Topologies on unparameterised path space
Cass T
(2021)
General Signature Kernels
Cass T
(2021)
Skorohod and rough integration for stochastic differential equations driven by Volterra processes
in Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
Chen Y
(2021)
?-Strong Simulation of Fractional Brownian Motion and Related Stochastic Differential Equations
in Mathematics of Operations Research
Cheng J
(2022)
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
in IEEE transactions on medical imaging
Cheng J
(2023)
Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features
in IEEE Transactions on Multimedia
Chevyrev I
(2020)
Persistence Paths and Signature Features in Topological Data Analysis.
in IEEE transactions on pattern analysis and machine intelligence
Cochrane T
(2020)
Anomaly detection on streamed data
| Description | We have used the path signature to provide predictive features for identifying people whose are subsequently diagnosed with Alzheimer's disease. Features are derived from time-ordered measurements of the size of the whole brain, the ventricles and the hippocampus. We found two nonlinear interactions which are predictive in both cases. The first interaction is change of hippocampal volume with time, and the second is a change of hippocampal volume relative to the volume of the whole brain. We are not claiming to be the first to find these predictors - hippocampal and brain volume changes are well known in Alzheimer's disease - but we have demonstrated the power of the path signature in their identification and analysis without using manual feature selection. |
| Exploitation Route | Sequential data is becoming increasingly available as monitoring technology is applied, and we have clearly shown how the path signature method is shown to be a useful tool in processing medical data. We hope to see more applications of the path signature to sequential data from patient monitoring. The successful take-up of these methods continues steadily, and for example they formed part of the winning team effort in the nternational PhysioNet 2019 competition to develop machine learning tools to identify sepsis early using the streams of data intensive care units have about their patients. |
| Sectors | Healthcare |
| Description | Signatures have been used in the defense and security community, financial industry, and also in the development of commercial Chinese handwriting recognition apps for the mobile phone. The DataSig team secured first place in an international competition for the early detection of sepsis from electronic hospital health records. This work has now been used to develop prototype early warning systems for patient deterioration after admission to intensive care. The findings and particularly signatures have underpinned commercial work in the wholesale financial sector synthesising financial data. One application has been to provide richer augmented synthetic financial data so as to better use machine learning to price complex financial products reliably from data (as opposed to using models). This work, and the key senior banker involved, received the title "Quant of the Year" in the internationally prestigious Risk.net awards in March 2022. In 2022, the D&S community evaluated signature based technologies as tools for identifying malware. |
| First Year Of Impact | 2013 |
| Sector | Construction,Digital/Communication/Information Technologies (including Software),Financial Services, and Management Consultancy,Healthcare,Security and Diplomacy |
| Impact Types | Societal,Economic |
| Description | Chinese handwring and Action Recognition |
| Organisation | South China University of Technology |
| Department | School of Electronic and Information Engineering |
| Country | China |
| Sector | Academic/University |
| PI Contribution | We actively collaborate on research in Action interpretation, gesture recognition, online Chinese handwriting recognition |
| Collaborator Contribution | They bring profound domain knowledge and are able to execute research projects on the engineering side. Without it our mathematical knowledge would have little worth. |
| Impact | this collaboration is multi-disciplinary Mathematics, computer vision, engineering There are several research papers. Some at high level (e.g. TPAMI). Much of the work came out of a Turing sponsored week of intensive startup effort pulling a small group of turing and International scientists. |
| Start Year | 2014 |
| Description | Clinical psychiatry and mood processing |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | This project consolidates our research theme that mood can be quantified and provides an indicator of wider diagnosis, and allows us to explore alternative media - speech and transcribed speech. The primary contribution so far is to establish mood as a stream that can be used for medical inference. |
| Collaborator Contribution | Access to data, a good computing environment, Opportunity to interact with appropriate domain experts. |
| Impact | This collaboration is multi-disciplinary, involving researchers from the areas of Mathematics, Psychiatry, Natural Language Processing and Speech Processing. |
| Start Year | 2018 |
| Description | Clinical psychiatry and mood processing |
| Organisation | University of Oxford |
| Department | Department of Psychiatry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | This project consolidates our research theme that mood can be quantified and provides an indicator of wider diagnosis, and allows us to explore alternative media - speech and transcribed speech. The primary contribution so far is to establish mood as a stream that can be used for medical inference. |
| Collaborator Contribution | Access to data, a good computing environment, Opportunity to interact with appropriate domain experts. |
| Impact | This collaboration is multi-disciplinary, involving researchers from the areas of Mathematics, Psychiatry, Natural Language Processing and Speech Processing. |
| Start Year | 2018 |
| Description | DatSig and the Alan Turing Institute |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The Alan Turing Institute is a project Partner to the EPSRC programme grant and DataSig progrmme. It has allowed and nurtured several subpartnerships - partnerships that have allowed nterchange between mathematical insight and very practical problems stimulating both sides of the equation. They are in early days and will undoubtedly generate several full-blown reports as they mature. The external funding stimulated by this relationship currently supports two postdocs and two software engineers part time and involves Datacentric Engineering, Defense and Security, HSBC, and Health and Safety. Other funding supports the DataSig partnership with mental health challenges. Our contribution is to bring and further to develop novel expertise on the understanding of complex multimodal streamed data to novel and externally interesting challenges. |
| Collaborator Contribution | These projects are currently in early stages. They bring challenges, resource for postdocs and computing for our related science etc. as well as placing their own staff to work on their specific challenges so that they get a strong return. The expectation is that their results will form published examples demonstrating and benchmarking our research while also forming a pathway for knowledge exchange. |
| Impact | These are still in development The research is multidisiplinary Mathematics, Data Science, Medicine, Civil Engineering, ... |
| Start Year | 2019 |
| Description | 15 Jun 2021, HAO NI co-organised a UCL-PKU Workshop on 'Rough Paths and Machine Learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The joint workshop facilitated and deepened the collaboration between Hao Ni's UCL research group and the mathematics department at UCL. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://bicmr.pku.edu.cn/content/show/17-2517.html |
| Description | DataSig on Twitter (#data_sig) |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | To provide supporters with news and information concerning signatures, rough paths and data science and, more generally, about DataSig activity. |
| Year(s) Of Engagement Activity | 2020,2021 |
| URL | https://twitter.com/data_sig |
| Description | DataSig website |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The main aim is to record and communicate the research activity of the DataSig team. |
| Year(s) Of Engagement Activity | 2020,2021 |
| URL | http://www.datasig.ac.uk |
| Description | Fields Institute Symposium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Four members of our group presented at the symposium (see https://www.datasig.ac.uk/past-events#/?filter-7296-events-2264091=53906&page-2264091=0) |
| Year(s) Of Engagement Activity | 2020 |
| URL | http://www.fields.utoronto.ca/activities/20-21/dynamical |
| Description | NEMSA Seminar |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presented a paper |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2021-01-13-terry-lyons |
| Description | On 1 Dec 2021, Paul Hager addressed the Rough Path Interest Group (RPIG) on the topic of 'Optimal Stopping with Signatures - Reinforced Optimal Control' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-12-01-paul-hager |
| Description | On 1 Dec 2022, Dan Crisan addressed the DATASIG SEMINAR SERIES on the topic of 'Particle filters for Data Assimilation' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/dan-crisan-2022-12-01 |
| Description | On 1 Mar 2023, Lukas Gonon addressed the Rough Path Interest Group (RPIG) on the topic of '(Random) neural networks for option pricing' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://www.datasig.ac.uk/event/lukas-gonon-2023-03-01 |
| Description | On 1 Oct 2020, Joscha Diehl addressed the DATASIG SEMINAR SERIES on the topic of 'Tropical time series, iterated-sums signatures and quasisymmetric functions' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-10-01-joscha-diehl |
| Description | On 10 Dec 2021, Csaba Toth addressed the Rough Path Interest Group (RPIG) on the topic of 'Randomized signature features for scalable approximation of the signature kernel' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-12-10-csaba-toth |
| Description | On 10 Feb 2022, Yariv Aizenbud addressed the DATASIG SEMINAR SERIES on the topic of 'Non-Parametric Estimation of Manifolds from Noisy Data' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-02-10-yariv-aizenbud |
| Description | On 10 Jun 2021, Blanka Horvath addressed the DATASIG SEMINAR SERIES on the topic of 'Refining Data-Driven Market Simulators and Managing their Risks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-06-10-blanka-horvath |
| Description | On 10 Jun 2021, Hao Ni addressed the OPEN DATA SCIENCE CONFERENCE(ODSC )EUROPE VIRTUAL CONFERENCE on the topic of 'Machine learning for finance'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Hao Ni gave an introduction to Machine Learning in quantitative finance at ODSC Europe, which stimulated questions and discussions. |
| Year(s) Of Engagement Activity | 2021 |
| Description | On 10 May 2021, Hao Ni addressed the PROBABILITY SEMINAR, UNIVERSITY OF BATH on the topic of 'The expected signature of the stopped Brownian motion'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at a probability seminar at University of Bath, which stimulated questions and discussions, and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| Description | On 10 Nov 2021, James Thornton and Valentin De Bortoli addressed the Rough Path Interest Group (RPIG) on the topic of 'Score based Generative Modeling and the Diffusion Schrödinger Bridge' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-10-james-thornton |
| Description | On 10 Oct 2019, Marzia Scelsi addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The genetics of dementia progression and heterogeneity' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 10 Oct 2019, Maxime Taquet addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Seeking markers of mental illness: from microstructure imaging to digital phenotyping' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 11 Dec 2020, Hao Ni addressed the MATHEMATISCHES FORSCHUNGSINSTITUT OBERWOLFACH on the topic of 'Expected Signature of 2-D stopped Brownian motion'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Hao Ni gave a presentation on Expected Signature of 2-D stopped Brownian motion at Mathematisches Forschungsinstitut Oberwolfach. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2020 |
| Description | On 11 Feb 2021, Darrick Lee addressed the Rough Path Interest Group (RPIG) on the topic of 'Signatures of Time-Varying Persistence Diagrams' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://datasig.ac.uk/2021-02-11-darrick-lee |
| Description | On 11 Jul 2019, Ang Li addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Building clinically useful biomarkers in Psychiatry: Is neuroimaging a promising tool?' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 11 Jul 2019, James Morrill addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Improved extraction of information from physiological time-series data, with application to stress detection' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 11 Mar 2021, Yuliy Baryshnikov addressed the DATASIG SEMINAR SERIES on the topic of 'Oriented areas and chain of offsets models' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-03-11-yuliy-baryshnikov |
| Description | On 11 Nov 2021, Nikola Kovachki addressed the Rough Path Interest Group (RPIG) on the topic of 'Operator Learning and Conditional Measure Transport' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-11-nikola-kovachki |
| Description | On 12 Jan 2022, Bin Dong addressed the DATASIG SEMINAR SERIES on the topic of 'Learning and Learning to Solve PDEs' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/2022-01-12-bin-dong |
| Description | On 12 Mar 2020, Csaba Toth addressed the Rough Path Interest Group (RPIG) on the topic of 'Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-03-12-csaba-toth |
| Description | On 12 Mar 2021, Hao Ni addressed the INTERNATIONAL CENTRE MEETINGS MATHÉMATIQUES on the topic of 'Conditional Sig-Wasserstein Generative models to generate realistic synthetic time series, Pathwise Stochastic Analysis and Applications'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on the generative models for time series generation at International Centre Meetings Mathématiques. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/hao-ni-2021-03-11 |
| Description | On 12 Mar, Hao Ni addressed the ClRM workshop on Pathwise Stochastic Analysis and Applications. She spoke on the topic of 'Conditional Sig-Wasserstein Generative models'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at the CIRM workshop, which stimulated questions and discussions, and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| Description | On 12 May 2021, Yao Lu addressed the Rough Path Interest Group (RPIG) on the topic of 'Bidirectional Self-Normalizing Neural Networks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-05-12-lao-yu |
| Description | On 12 Nov 2020, Stéphane Mallat addressed the DATASIG SEMINAR SERIES on the topic of 'Understanding Concentration and Separation in Deep Neural Networks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-11-12-stephane-mallat |
| Description | On 12 Oct 2019, Thomas Cass addressed the HAUSDROFF INSTITUTE OF MATHEMATICS (UNIVERSITY OF BONN) WORKSHOP on the topic of 'Problems of roughness, geometry and random fluctuation'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The talk was attended by mathematicians and research students primarily from leading institutions in Europe. Thomas Cass delivered the talk based on research driven by the priorities of the programme. There was much interest from the audience in it. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.him.uni-bonn.de/programs/past-programs/past-junior-trimester-programs/randomness-pdes-fl... |
| Description | On 12 Oct 2022, Theo Diamantakis addressed the Rough Path Interest Group (RPIG) on the topic of 'Geometric effects of the Levy area on rigid body dynamics' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/theo-diamantakis-2022-10-12 |
| Description | On 13 Apr 2022, Marten Lienen addressed the Rough Path Interest Group (RPIG) on the topic of 'Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-04-13-marten-lienen |
| Description | On 13 Aug 2020, Hao Ni addressed the MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES, GEOMETRY OF CURVES IN TIME SERIES AND SHAPE ANALYSIS WORKSHOP on the topic of 'The signature-based GAN model for time series generation'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at Max Planck Institute for Mathematics in the Sciences, Geometry of curves in time series and shape analysis workshop. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/mpi-11-14-aug-2020 |
| Description | On 13 Dec 2021, Guan-Horng Liu addressed the Rough Path Interest Group (RPIG) on the topic of 'Higher-Order Optimization of Neural ODEs via Optimal Control Principle' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-12-13-guan-horng-liu |
| Description | On 13 Feb 2020, Vicky Kalogeiton addressed the DATASIG SEMINAR SERIES on the topic of 'Understanding actions and interactions in videos' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/event/2020-02-13-vicky-kalogeiton |
| Description | On 13 Feb 2020, Weixin Yang addressed the DATASIG SEMINAR SERIES on the topic of 'Developing path signature methodology for landmark-based human action recognition' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/event/2020-02-13-weixin-yang |
| Description | On 13 Jan 2021, Adeline Fermanian addressed the Rough Path Interest Group (RPIG) on the topic of 'The insertion algorithm for signature inversion' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://datasig.ac.uk/2021-01-13-adeline-fermanian |
| Description | On 13 Jan 2022, Ilya Chevyrev addressed the DATASIG SEMINAR SERIES on the topic of 'Regularity structures and machine learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/2022-01-13-ilya-chevyrev |
| Description | On 13 May 2020, James Morrill et al addressed the Rough Path Interest Group (RPIG) on the topic of 'Neural controlled differential equations ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-05-13-james-morrill |
| Description | On 13 May 2021, Richard Samworth addressed the DATASIG SEMINAR SERIES on the topic of 'High-dimensional, multiscale online changepoint detection' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-05-13-richard-samworth |
| Description | On 13 Oct 2021, Andris Gerasimovics addressed the Rough Path Interest Group (RPIG) on the topic of 'Feature Engineering with Regularity Structures' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-10-13-andris-gerasimovics |
| Description | On 14 Apr 2021, Chong Liu addressed the Rough Path Interest Group (RPIG) on the topic of 'Adapted Topologies and Higher Rank Signatures' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-04-14-chong-liu |
| Description | On 14 Dec 2022, Alexandre Défossez addressed the Rough Path Interest Group (RPIG) on the topic of 'Decoding speech from non-invasive brain recordings' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/alexandre-defossez-2022-12-14 |
| Description | On 14 Jan 2021, Alice Wickersham addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Using linked health and education data to investigate school performance trajectories among children and adolescents with depression' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 14 Jan 2021, Karen Mansfield addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Estimating and tracking prevalence of mental health problems in annually-repeated cross-sectional survey data from a school population' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 14 Mar 2019, David Llewellyn addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Enhancing the prevention, treatment and diagnosis of dementia with data science and AI' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 14 Mar 2019, Robert Stewart addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Natural language processing to support research in mental healthcare records - the CRIS experience' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 14 May 2020, Jing Dong addressed the DATASIG SEMINAR SERIES on the topic of 'Replica-exchange for non-convex optimization' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-05-14-jing-dong |
| Description | On 14 Nov 2019, Sarah Morgan addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'What can MRI brain imaging and patients' speech tell us about schizophrenia?' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 14 Oct 2021, George Wynne addressed the DATASIG SEMINAR SERIES on the topic of 'Kernel-based Statistical Methods for Functional Data' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://datasig.ac.uk/event/2021-10-14-george-wynne |
| Description | On 15 Apr 2021, Talayeh Aledavood addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Digital phenotyping for patients with mood disorders' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 Apr 2021, Vincent Tseng addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Developing interpretable models to predict symptoms of schizophrenia' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 Jul 2021, Han-Chin Shing addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'A Prioritization Model for Suicidality Risk Assessment' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 Jul 2021, Stefano Goria addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The Challenges of Remote Multi-modal Data Collection' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 June 2022, Julius von Kügelgen addressed the Rough Path Interest Group (RPIG) on the topic of 'From Statistical to Causal Learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-06-15-julius-von-kugelgen |
| Description | On 15 Oct 2020, Lucia Lushi Chen addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Monitoring Psychological Processes Underpinning Mental Disorders using Social Media Data' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 Oct 2020, Lucia Valmaggia addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Virtual reality for mental health' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 September 2022, Dana Atzil-Slonim addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Revealing Verbal and Non-Verbal Signals of Positive Change in the Treatment of Depression' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 15 September 2022, Francis Szele addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Molecular and Cellular Approaches to Understanding Schizophrenia' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Apr 2020, Aaron Kandola addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Physical activity, sedentary behaviour, and common mental health disorders in the population' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Apr 2020, Ann John addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'How do my feelings become numbers?' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Feb 2023, Christine Parsons and Kirstin Purves addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Different trajectories of depression, anxiety and anhedonia symptoms in the first 12 months of the COVID-19 pandemic in a UK longitudinal sample' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Feb 2023, Michael Hoefer addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Designing technology to support co-tracking of mental wellbeing in bipolar disorder' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Jul 2020, Nina Di Cara addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Mood Music: Can we infer wellbeing from Spotify?' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Jul 2020, Valentin Tablan addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Natural language processing for mental healthcare' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 July 2019, Hao Ni addressed the ICIAM (INTERNATIONAL CONGRESS ON INDUSTRIAL AND APPLIED MATHEMATICS), MINISYMPOSIA ON MACHINE LEARNING IN FINANCE on the topic of 'Learning to predict the effects of data streams using Logsig-RNN model'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on the generative models for time series generation at a minisymposium on Machine Learning in Finance at ICIAM (International Congress on industrial and applied mathematics). Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2019 |
| Description | On 16 June 2022, Vincent Taschereau-Dumouchel addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Towards closed-loop control of affective processes in the brain' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Mar 2021, Hao Ni addressed the INI NEWTON GATEWAY TO MATHEMATICS WORKSHOP ON 'UNLOCKING DATA STREAMS' on the topic of 'Signature-based ML models help sepsis prediction despite the subtle effects of label extraction'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Hao Ni gave a presentation entitled 'Signature-based ML models help sepsis prediction despite the subtle effects of label extraction' at the INI Newton Gateway to Mathematics workshop on 'Unlocking data streams'. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/unlocking-data-streams |
| Description | On 16 Mar 2022, Joel Dyer addressed the Rough Path Interest Group (RPIG) on the topic of 'Simulation-based inference with path signatures' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/2022-03-16-joel-dyer |
| Description | On 16 Nov 2022, Andraž Jelincic addressed the Rough Path Interest Group (RPIG) on the topic of 'GAN-based Levy-area Simulation' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/andraz-jelincic-2022-11-16 |
| Description | On 16 Sep 2021, Kathryn Mansfield and Sinead Langan addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 16 Sep 2021, Yilin Pan addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Speech- and language-based automatic dementia detection and tracking in a home-based environment' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Feb 2021, Xi Geng addressed the DATASIG SEMINAR SERIES on the topic of 'Path Development and the Length Conjecture' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-02-17-xi-geng |
| Description | On 17 Feb 2022, Maxime Taquet (University of Oxford) addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Neuropsychiatric sequelae of COVID: from broad to deep phenotyping' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 July 2022, Will Turner addressed the Rough Path Interest Group (RPIG) on the topic of 'Topologies on unparameterised path space' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/will-turner-2022-08-17 |
| Description | On 17 Jun 2021, Caroline Nettekoven addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Towards transcribed speech networks as a marker for psychosis risk' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Jun 2021, Kimberly Carpenter addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Digital behavioral phenotyping detects atypical patterns of facial expression in toddlers with autism |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Mar 2022, Carl Yang addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Graph neural networks for connectome-based mental disorder analysis' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Mar 2022, Nikolaos Flemotomos addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Nov 2021, Cris Salvi addressed the Rough Path Interest Group (RPIG) on the topic of 'Neural Stochastic PDEs' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-17-cris-salvi |
| Description | On 17 November 2022, Anja Thieme addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Responsible development of AI applications for online CBT treatment' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 November 2022, Stefan Rennick-Egglestone addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'What can we learn from publicly shared online accounts of mental health recovery?' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Sep 2020, Jose Blanchet addressed the DATASIG SEMINAR SERIES on the topic of 'On Wasserstein projections' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-09-17-jose-blanchet |
| Description | On 17 Sep 2020, Margarida Madaleno addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Do people adapt to stressors? Evidence from Twitter' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 17 Sep 2020, Paris Alexandros Lalousis addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Transdiagnostic Features, Comorbidity and Classification of Recent Onset Psychosis and Depression: a Multimodal Machine Learning Approach' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Apr 2019, Imanol Pérez Arribas addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Apr 2019, Stephen Friend addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'One clinician's musings on what might be the known unknowns, and unknown unknowns in using wearables to forecast symptom transitions' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Feb 2021, Richard Shaw addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Living alone's, loneliness's and emotional support's relationship with death by suicide and hospital admissions for self-harm: A data linkage study using UK Biobank' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Feb 2021, Zhuoqing (George) Chang addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Novel Scalable Computational Methods Reveal Atypical Patterns of Gaze in Toddlers with Autism Spectrum Disorder' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Jun 2020, Katharine Smith addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Digital technologies and telepsychiatry: an evidence-based synthesis of current guidance' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Jun 2020, Sumithra Velupillai addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Extracting psychosis symptom onset information from electronic health records using natural language processing approaches' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Mar 2021, Nicole Dalia Cilia addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'From handwriting to cognitive impairment diagnosis: a machine learning approach' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Mar 2021, Saturnino Luz addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Digital biomarkers for dementia prediction' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Nov 2021, Katie Lewis addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The effect of the COVID-19 pandemic on individuals with pre-existing psychiatric disorders' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 18 Nov 2021, Krishnakant Saboo addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Reinforcement learning based disease progression model for Alzheimer's Disease' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Dec 2019, Paul Moore addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Automatic validation for facial expression synthesis' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Jan 2022, Nikolas Nüsken addressed the Rough Path Interest Group (RPIG) on the topic of 'Estimating hidden parameters in stochastic multiscale systems using McKean-Vlasov dynamics and rough paths' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/2022-01-19-nikolas-nusken |
| Description | On 19 January 2023, Daniele Bertolini addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Machine learning enables faster clinical trials for Alzheimer's Disease' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 January 2023, Rosamund Powell addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Trustworthy assurance of digital mental health technologies' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Mar 2020, Rafael A Calvo addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Responsible Health Technology' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Mar 2020, Vasilisa Skvortsova addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Computational noise at the origin of behavioral variability in healthy brain and disease' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 May 2022, Marijn ten Thij addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Measuring Distorted Thinking in Written Text' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 May 2022, Yuezhou Zhang addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Nov 2020, Feifei Bu addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'COVID-19 Social Study: Understanding the Psychological & Social Impact of the Pandemic' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Nov 2020, Matthias Pierce addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The effect of the pandemic on population mental health: findings from Understanding Society' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Oct 2022, Bobak Kiani addressed the Rough Path Interest Group (RPIG) on the topic of 'Joint Embedding Self-Supervised Learning in the Kernel Regime' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/bobak-kiani-2022-10-19 |
| Description | On 19 Sep 2019, Alexandra Young addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Data-driven modelling of disease subtypes and their progression' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 19 Sep 2019, Neil Oxtoby addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Intro to Data-Driven Disease Progression Modelling' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 2 Apr 2020, Nikolas Tapia addressed the DATASIG SEMINAR SERIES on the topic of 'Higher-order iterated sums signatures' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-04-02-nikolas-tapia |
| Description | On 2 Dec 2020, Jack Parker-Holder addressed the Rough Path Interest Group (RPIG) on the topic of 'Policy Embeddings for Guided Optimization and Diversity' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-12-02-jack-parker-holder |
| Description | On 2 Feb 2023, Greg Yang addressed the Rough Path Interest Group (RPIG) on the topic of 'The unreasonable effectiveness of mathematics in large scale deep learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://datasig.ac.uk/event/greg-yang-2023-02-02 |
| Description | On 2 Nov 2022, Soufiane Hayou addressed the Rough Path Interest Group (RPIG) on the topic of 'On the infinite-depth limit of finite-width neural networks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/soufiane-hayou-2022-11-02 |
| Description | On 20 Apr 2022, Wei Chen addressed the DATASIG SEMINAR SERIES on the topic of 'Optimization, Speed-up, and Out-of-distribution Prediction in Deep Learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-04-20-wei-chen |
| Description | On 20 Jan 2022, John Geddes addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of '2022: time to accelerate the application of data science to mental health' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-01-20-john-geddes |
| Description | On 20 Jun 2019, Liu Shi addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Blood Proteomic Biomarkers for Alzheimer's Disease' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 20 Jun 2019, Sara Ahmadi-Abhari addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Forecasting trends in prevalence of dementia and disability in five European countries to 2050 and estimating the impact of public health interventions: a Markov modelling study' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 20 Mar 2019, Hao Ni addressed the CONFERENCE ON NEW DIRECTIONS IN STOCHASTIC ANALYSIS: ROUGH PATHS, SPDES AND RELATED TOPICS, ZUSE INSTITUTE BERLIN (ZIB) on the topic of 'Learning to Approximate the Stochastic Differential Equations'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on learning the stochastic differential equations using the Logsig-RNN at Stochastic Analysis Seminar, York University. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2019 |
| Description | On 20 May 2021, Karen Mak addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The role of arts and culture in supporting health and wellbeing' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 20 May 2021, Lindsay Dewa addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'CCopeY: Co-producing with young people to examine youth mental health in the UK during COVID-19' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 20 October 2022, Bernadette Stolz addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Topological data analysis of task-based fMRI data from experiments on schizophrenia' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 20 October 2022, Sarael Alcauter Solorzano and Juan Carlos Díaz-Patiño addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Topological Data Analysis applied to the study of the functional brain connectome: Statistical comparisons using Betti curves' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 Apr 2021, Xin Zhang addressed the DATASIG SEMINAR SERIES on the topic of 'Learning developmental path signature features with deep learning framework for infant cognitive scores prediction' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-04-07-xin-zhang |
| Description | On 21 Apr 2022, Federica Marinaro addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The EDoN initiative: an international and multidisciplinary effort for transforming the early detection of dementia-causing diseases' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 Apr 2022, Lasse Hansen addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'A generalizable speech emotion recognition model reveals depression and remission' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 Apr 2022, Lasse Hansen addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'A generalizable speech emotion recognition model reveals depression and remission' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 July 2022, Dan Adler addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 July 2022, Vedant Das Swain addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Semantic gap in predicting mental wellbeing through passive sensing' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 June 2022, Masaaki Fukasawa addressed the Rough Path Interest Group (RPIG) on the topic of 'Learning the conditional law: signatures and conditional GANs in filtering and prediction of diffusion processes' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-06-21-masaaki-fukasawa |
| Description | On 21 May 2020, Michael Browning addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'A computational approach to mood instability' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 May 2020, Roland Zahn addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Predicting clinical outcomes in major depressive disorder' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 May, 2021, Hao Ni addressed the STATSCALE SEMINAR SERIES, LANCASTER UNIVERSITY on the topic of 'Sig-Wasserstein Generative models to generate realistic synthetic time series'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at the StatScale Seminar Series, which stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| Description | On 21 Oct 2021, Mallory Dobias addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Expanding our reach: Considerations and future directions for improving adolescents' access to mental health care' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 Oct 2021, Tayla McCloud addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'The mental health of higher education students: a comparison with non-students and an investigation into the role of finances and debt' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 21 Sep 2022, Francesca Primavera addressed the Rough Path Interest Group (RPIG) on the topic of 'Universal approximation theorems for continuous functions of càdlàg paths and Lévy-type signature models' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/francesca-primavera-2022-09-21 |
| Description | On 21 Sep 2022, Guido Gazzani addressed the Rough Path Interest Group (RPIG) on the topic of 'Signature-based models: theory and calibration' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/guido-gazzani-2022-09-21 |
| Description | On 22 Jul 2020, Csaba Toth and Patric Bonnier addressed the Rough Path Interest Group (RPIG) on the topic of 'Seq2Tens: An efficient representation of sequences by low-rank tensor projections ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.web.ox.ac.uk/2020-07-22-csaba-toth |
| Description | On 22 Jul 2021, Hao Ni addressed the BERNOULLI-IMS 10TH WORLD CONGRESS IN PROBABILITY AND STATISTICS SESSION ON 'PATHWISE STOCHASTIC ANALYSIS' on the topic of 'Conditional Sig-Wasserstein Generative models to generate realistic synthetic time series'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at the Probability and Statistics session on 'Pathwise stochastic analysis' at the Bernoulli-IMS 10th World Congress, which stimulated questions and discussions, and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| Description | On 22 Oct 2020, Carl-Johann Simon-Gabriel addressed the DATASIG SEMINAR SERIES on the topic of 'Classifier-based Distribution-Dissimilarities: From Maximum Mean Discrepancies to Adversarial Examples' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-10-22-carl-johann-simon-gabriel |
| Description | On 22 Sep 2021, Yuzuru Inahama addressed the DATASIG SEMINAR SERIES on the topic of 'Stochastic Flows and Rough Differential Equations on Foliated Spaces' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-09-22-yuzuru-inahama |
| Description | On 23 Jul 2020, Franck Gabriel addressed the DATASIG SEMINAR SERIES on the topic of 'Artificial Neural Networks and Kernel Methods' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-07-23-franck-gabriel |
| Description | On 23 Mar 2022, Riccardo Passeggeri addressed the Rough Path Interest Group (RPIG) on the topic of 'On the signature and cubature of the fractional Brownian motion for H>1/2' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/2022-02-23-riccardo-passeggeri |
| Description | On 23 May 2019, Lefkos T Middleton addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Alzheimer's disease and other late onset dementias. A world-wide challenge for the 21st century and beyond' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 23 May 2019, Natasha Clarke addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Digital Discourse as Clinical Data: Investigating Spoken and Written Language in Alzheimer's Disease Using Natural Language Processing' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 23 Nov 2021, Nima Dehmamy addressed the Rough Path Interest Group (RPIG) on the topic of 'Automatic Symmetry Discovery with Lie Algebra Convolutional Network' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-23-nima-dehmamy |
| Description | On 23 Nov 2022, Guan-Horng Liu addressed the Rough Path Interest Group (RPIG) on the topic of 'Generalized Schrödinger Bridge: From Generative Modeling to Mean-Field Games' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/guan-horng-liu-2022-11-23 |
| Description | On 24 Feb 2022, Alexis Bellot addressed the Rough Path Interest Group (RPIG) on the topic of 'Neural graphical modelling in continuous-time: consistency guarantees and algorithms' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/2022-02-24-alexis-bellot |
| Description | On 24 Jun 2020, Patrick Kidger addressed the Rough Path Interest Group (RPIG) on the topic of 'Signatory, signatures, and Neural Controlled Differential Equations ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-06-24-patrick-kidger |
| Description | On 24 Mar 2022, Kathlén Kohn addressed the DATASIG SEMINAR SERIES on the topic of 'The Geometry of Linear Convolutional Networks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/2022-03-24-kathlen-kohn |
| Description | On 24 May Hao Ni and co-authors spoke at a webinar celebrating the launch of their book 'An Introduction to Machine Learning in Quantitative Finance'. |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | During the panel discussion, guest speakers joined the authors in sharing their insights into the future of machine learning in quantitative finance. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://datasig.ac.uk/event/book-launch |
| Description | On 24 Nov 2021, Ben Chamberlain and James Rowbottom addressed the Rough Path Interest Group (RPIG) on the topic of 'GRAND: Graph Neural Diffusion | Beltrami Flow and Neural Diffusion on Graphs' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-24-ben-chamberlain |
| Description | On 24 Nov 2022, Chris Eliasmith addressed the DATASIG SEMINAR SERIES on the topic of 'The Legendre Memory Unity: A neural network with optimal time series compression' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/chris-eliasmith-2022-11-24 |
| Description | On 25 Feb 2021, Josef Teichmann addressed the DATASIG SEMINAR SERIES on the topic of 'Discrete-time signatures and randomness in reservoir computing' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-02-25-josef-teichmann |
| Description | On 25 Jun 2020, lmanol Perez Arribas addressed the DATASIG SEMINAR SERIES on the topic of 'Optimal execution with rough path signatures' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-06-25-imanol-perez-arribas |
| Description | On 25 Mar 2020, Maud Lemercier addressed the Rough Path Interest Group (RPIG) on the topic of 'Distribution Regression on Streams ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-03-25-maud-lemercier |
| Description | On 25 Mar 2021, Fabrice Baudoin addressed the DATASIG SEMINAR SERIES on the topic of 'Asymptotic windings of the block determinants of a unitary Brownian motion and related diffusions' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-03-25-fabrice-baudoin |
| Description | On 25 May 2022, Patric Bonnier addressed the Rough Path Interest Group (RPIG) on the topic of 'Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-05-25-patric-bonnier |
| Description | On 26 Apr 2022, Zoltan Szabo addressed the DATASIG SEMINAR SERIES on the topic of 'Tensor Product Kernels for Independence' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-05-26-zoltan-szabo |
| Description | On 26 Feb 2019, Hao Ni addressed the SWANSEAVISION SEMINAR, COMPUTER SCIENCE DEPARTMENT, SWANSEA UNIVERSITY on the topic of 'Learning to Approximate the Stochastic Differential Equations'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on learning stochastic differential equations using the Logsig-RNN at SwanseaVision Seminar, Computer Science Department, Swansea University. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2019 |
| Description | On 26 Jan 2022, Satoshi Hayakawa addressed the Rough Path Interest Group (RPIG) on the topic of 'Random convex hull, cubature, hypercontractivity' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/2022-01-26-satoshi-hayakawa |
| Description | On 26 Nov 2020, Julien Mairal addressed the DATASIG SEMINAR SERIES on the topic of 'On the Happy Marriage of Kernel Methods and Deep Learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-11-26-julien-mairal |
| Description | On 26 Oct 2022, Kevin Wu addressed the Rough Path Interest Group (RPIG) on the topic of 'Protein structure generation via folding diffusion' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/kevin-wu-2022-10-26 |
| Description | On 27 Apr 2022, Hang Lou addressed the Rough Path Interest Group (RPIG) on the topic of 'Path Development Network with Finite-Dimensional Lie Group' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-04-27-hang-lou |
| Description | On 27 Feb 2020, Fasih Haider addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Privacy Based Acoustic Data Collection System for Mental Health Monitoring' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 27 Feb 2020, Richard Bethlehem addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Typical and Atypical Brain Development: What Is Normal' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 27 Jan 2021, Emilio Rossi-Ferrucci addressed the Rough Path Interest Group (RPIG) on the topic of 'A Stratonovich-Itô formula for the signature of a Gaussian process' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2020-01-27-emilio-rossi-ferrucci |
| Description | On 27 Jan 2022, Andrew Stuart addressed the DATASIG SEMINAR SERIES on the topic of 'Learning Homogenized PDEs in Continuum Mechanics' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-01-27-andrew-stuart |
| Description | On 27 May 2020, Boumediene Hamzi addressed the Rough Path Interest Group (RPIG) on the topic of 'Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-05-27-boumediene-hamzi |
| Description | On 27 Oct 2021, Alain Rossier addressed the Rough Path Interest Group (RPIG) on the topic of 'Asymptotic analysis of deep residual networks' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-10-27-alain-rossier |
| Description | On 28 Apr 2022, Yifan Chen addressed the Rough Path Interest Group (RPIG) on the topic of 'Solving and learning nonlinear PDEs via Gaussian processes' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-04-28-yifan-chen |
| Description | On 29 Apr 2020, James Foster addressed the Rough Path Interest Group (RPIG) on the topic of 'An optimal polynomial approximation of Brownian motion ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-04-29-james-foster |
| Description | On 29 Apr 2021, Aapo Hyvärinen addressed the DATASIG SEMINAR SERIES on the topic of 'Nonlinear Independent Component Analysis: Identifiability, Self-Supervised Learning, and Likelihood' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-04-29-aapo-hyvarinen |
| Description | On 29 Jun 2022, Francis Bach addressed the DATASIG SEMINAR SERIES on the topic of 'Information theory with kernel methods' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/2022-06-29-francis-bach |
| Description | On 3 Feb 2021, Ayush Bharti addressed the Rough Path Interest Group (RPIG) on the topic of 'Calibration of stochastic radio channel models using kernels' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://datasig.ac.uk/2021-02-03-ayush-bharti |
| Description | On 3 Feb 2022, Chris Oates addressed the DATASIG SEMINAR SERIES on the topic of 'Optimal Thinning of MCMC Output' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-02-03-chris-oates |
| Description | On 3 Jun 2021, Ismaël Bailleul addressed the DATASIG SEMINAR SERIES on the topic of 'Kinetic Brownian motion in the diffeomorphism group of a closed Riemannian manifold' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-06-03-ismael-bailleul |
| Description | On 3 Nov 2021, Sheo Yon Jhin addressed the Rough Path Interest Group (RPIG) on the topic of 'Attentive Neural Controlled Differential Equations' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-03-sheo-yon-jhin |
| Description | On 3 Nov 2022, Bruno Dupire addressed the DATASIG SEMINAR SERIES on the topic of 'Signatures and Functional Expansions' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/bruno-dupire-2022-11-03 |
| Description | On 3 Sep 2020, Michael Moor addressed the DATASIG SEMINAR SERIES on the topic of 'Topological representation learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-09-03-michael-moor |
| Description | On 30 Apr 2020, Adeline Fermanian addressed the DATASIG SEMINAR SERIES on the topic of 'Learning with signatures: embedding and truncation order selection' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-04-30-adeline-fermanian |
| Description | On 30 Apr 2020, Weijun Xu addressed the DATASIG SEMINAR SERIES on the topic of 'Inverting the signature of a path' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-04-30-weijun-xu |
| Description | On 30 April 2019, Hao Ni addressed the STOCHASTIC ANALYSIS SEMINAR, YORK UNIVERSITY on the topic of 'Learning to approximate the stochastic differential equations'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on learning the stochstic differential equations using the Logsig-RNN at Conference on New Directions in Stochastic Analysis: Rough Paths, SPDEs and Related Topics, Zuse Institute Berlin (ZIB). Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2019 |
| Description | On 30 Jan 2020, Georgia Aitkenhead addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Participatory Science to Empower: Building a Citizen Science Platform' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 30 Jan 2020, Julia Ive addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Towards Shareable Data in Clinical Natural Language Processing: Generating Synthetic Electronic Health Records' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 30 Sep 2020, Jeremias Knoblauch addressed the Rough Path Interest Group (RPIG) on the topic of 'Generalized Variational Inference: Three arguments for deriving new Posteriors' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-09-30-jeremias-knoblauch |
| Description | On 4 Jan 2023, Albert Gu addressed the Rough Path Interest Group (RPIG) on the topic of 'Deep State Space Models for Sequence Modeling' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://datasig.ac.uk/event/albert-gu-2023-01-04 |
| Description | On 4 Jun 2020, Weinan E addressed the DATASIG SEMINAR SERIES on the topic of 'A mathematical perspective of machine learning' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-06-04-weinan-e |
| Description | On 4 June 2019, Hao Ni addressed the CDT COLLOQUIUM AT DATA INTENSIVE INSTITUTE, UCL on the topic of 'Learning to predict the effects of data streams using Logsig-RNN model'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on learning the effects of data streams using the Logsig-RNN at the CDT colloquium at the Data Intensive Institute, UCL. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2019 |
| Description | On 4 Mar 2020, Marc Sabate Vidales addressed the Rough Path Interest Group (RPIG) on the topic of 'Approximating solutions of path dependent PDEs via the Signature method and LSTM ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-03-04-mark-sabate-vidales |
| Description | On 4 Mar 2021, Michael Brenner addressed the DATASIG SEMINAR SERIES on the topic of 'Machine Learning for Partial Differential Equations' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-03-05-michael-brenner |
| Description | On 4 Nov 2020, Pierre Alquier addressed the DATASIG SEMINAR SERIES on the topic of 'Parametric estimation via MMD optimization: robustness to outliers and dependence' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-11-04-pierre-alquier |
| Description | On 5 Aug 2020, Yue Wu addressed the Rough Path Interest Group (RPIG) on the topic of 'Semi-implicit Taylor schemes for stiff rough differential equations' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.web.ox.ac.uk/2020-08-05-yue-wu |
| Description | On 5 May 2021, Alexander Schell addressed the Rough Path Interest Group (RPIG) on the topic of 'Nonlinear independent component analysis for continuous-time signals' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-05-05-alexander-schell |
| Description | On 5 Nov 2020, Hao Ni addressed the THE ALAN TURING INSTITUTE WORKSHOP ON 'SYNTHETIC DATA GENERATION' on the topic of 'Conditional Sig-Wasserstein Generative models'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at The Alan Turing Institute workshop on 'Synthetic Data Generation'. Her presentation stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2020 |
| Description | On 5 Nov 2020, Xenia Miscouridou addressed the Rough Path Interest Group (RPIG) on the topic of 'Bayesian Nonparametric Modelling for Sparse Dynamic Graphs With Reciprocating Relationships ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-11-05-xenia-miscouridou |
| Description | On 5 Oct 2022, Florentin Guth addressed the Rough Path Interest Group (RPIG) on the topic of 'Wavelet score-based generative modelling' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/florentin-guth-2022-10-05 |
| Description | On 6 Aug 2020, Vidit Nanda addressed the DATASIG SEMINAR SERIES on the topic of 'Path signatures in topology, dynamics and data analysis' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-08-06-vidit-nanda |
| Description | On 6 Feb 2020, Gang-Ding Peng addressed the DATASIG SEMINAR SERIES on the topic of 'Nonlinear optics' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/event/2020-02-06-gang-ding-peng |
| Description | On 6 July 2022, Sumeet Singh addressed the Rough Path Interest Group (RPIG) on the topic of 'Structure for Learning to Control' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://datasig.ac.uk/event/sumeet-singh-2022-07-06 |
| Description | On 6 June 2019, Hao Ni addressed the OXFORD COMPUTER SCIENCE CONFERENCE on the topic of 'Keynote panel discussion on the topic 'Computing Everything: The Future of Algorithmic Learning''. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni joined a keynote panel discussion on the topic "Computing Everything: The Future of Algorithmic Learning', which simulated a heated discussion on computing and machine learning. |
| Year(s) Of Engagement Activity | 2019 |
| Description | On 6 May 2021, Peter K Friz addressed the DATASIG SEMINAR SERIES on the topic of 'New perspectives on rough paths, signatures and signature cumulants' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-05-06-peter-k-friz |
| Description | On 6-9 Jul 2021, Hao Ni addressed the ICERM: APPLICATIONS OF ROUGH PATHS: COMPUTATIONAL SIGNATURES AND DATA SCIENCE, BROWN UNIVERSITY on the topic of 'Sig-Wasserstein Generative Models to generate realistic synthetic time series'. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Hao Ni gave a presentation on generative models for time series generation at the ICERM workshop, which stimulated questions and discussions and may lead to further research collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-06-icerm |
| Description | On 7 Feb 2019, Francesca Cormack addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'Digital technology for mental health research' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 7 Feb 2019, Tanya Smith addressed the DATA SCIENCE FOR MENTAL HEALTH (DS4MH) interest group on the topic of 'UK-Clinical Record Interactive Search (CRIS) - Accelerating mental health research using real world healthcare data' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The interest group aims to stimulate the use of contemporary data science around multimodal data in mental health (including dementia), providing insight and benefit for individuals, clinicians. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area. The monthly online meetings are based around two talks and often include extensive discussion. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://turing-ds4mh.github.io/ |
| Description | On 7 May 2020, James Michael Leahy addressed the DATASIG SEMINAR SERIES on the topic of 'Variational principles for fluid dynamics on rough paths' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-05-07-james-michael-leahy |
| Description | On 8 Apr 2020, Lukasz Szpruch addressed the Rough Path Interest Group (RPIG) on the topic of 'Mean-Field Langevin Dynamics, Energy Landscape of Neural Networks and Control Theory ' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-04-08-lukasz-szpruch |
| Description | On 8 Apr 2021, Sina Alemohammad addressed the Rough Path Interest Group (RPIG) on the topic of 'The recurrent neural tangent kernel' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://datasig.ac.uk/2021-02-18-sina-alemohammad |
| Description | On 8 Feb 2023, Valentin Tissot-Daguette addressed the Rough Path Interest Group (RPIG) on the topic of 'Functional Expansions, Signature, and Claim Decomposition' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://datasig.ac.uk/event/valentin-tissot-daguette-2023-02-08 |
| Description | On 8 Jul 2020, Anna Seigal addressed the Rough Path Interest Group (RPIG) on the topic of 'Signatures of piecewise Lie paths' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-07-08-anna-seigal |
| Description | On 8 Sep 2021, Hong Yan addressed the DATASIG SEMINAR SERIES on the topic of 'Co-clustering Analysis of Multidimensional Big Data' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/event/2021-09-08-hong-yan |
| Description | On 9 Dec 2021, Min Ming addressed the Rough Path Interest Group (RPIG) on the topic of 'Smoothness of Directed Chain SDEs and Applications' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.datasig.ac.uk/2021-11-12-ming-min |
| Description | On 9 Feb 2020, Cris Salvi addressed the Rough Path Interest Group (RPIG) on the topic of 'Rough Integration and Signature Kernel' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-02-09-cris-salvi |
| Description | On 9 Jul 2020, Horatio Boedihardjo addressed the DATASIG SEMINAR SERIES on the topic of 'Characterising the set of (untruncated) signatures' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The purpose of the DataSig Seminars is to provide a forum for the presentation of cutting-edge research around the data science and mathematics of streamed data. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.datasig.ac.uk/event/2020-07-09-horatio-boedihardjo |
| Description | On 9 June 2022, Yang Song addressed the Rough Path Interest Group (RPIG) on the topic of 'Learning to Generate Data by Estimating Gradients of the Data Distribution' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/2022-06-09-yang-song |
| Description | On 9 Nov 2022, Andy Allan addressed the Rough Path Interest Group (RPIG) on the topic of 'Model-free portfolio theory: A rough path approach' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.datasig.ac.uk/event/andy-allan-2022-11-09 |
| Description | On 9 Sep 2020, Weixin Yang addressed the Rough Path Interest Group (RPIG) on the topic of 'Path recovery from signature feature representation' |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | The focus of this interest group will be to discuss various topics at the intersection between rough path theory, differential equations, deep learning and kernel methods. It provides a platform for the sharing of recent research carried by the speaker and the participants in the interest group. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.ac.uk/2020-09-09-weixin-yang |
| Description | Oxford-Berlin Young Researchers Meeting |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Collaboration between Oxford and Berlin |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://datasig.web.ox.ac.uk/event/14th-oxford-berlin-young-researchers-meeting-on-applied-stochasti... |