Isaac Newton Institute for Mathematical Sciences

Lead Research Organisation: University of Cambridge
Department Name: Isaac Newton Institute (Math Science)

Abstract

The Isaac Newton Institute for Mathematical Sciences (INI) is dedicated to enabling UK mathematicians and other researchers to interact with the best scientists from around the world, in themed programmes. The environment for participants is truly exceptional: a dedicated and purpose-designed building; office, computing and superb library support, including 35,000 books in Mathematical Sciences within 50 metres of the Institute; the opportunity to interact with the wider community at Cambridge; and experienced staff who know what works, and who provide full support to organisers and participants to enable them to focus on their science. Visitor programmes are generally of six, four or one month's duration. There are usually two programmes running in parallel, each with around 20 scientists in residence. Programmes include particularly intense periods of instructional courses and workshops for 100 or more scientists, which are frequently held elsewhere in the UK, to maximise opportunity for the UK community and access for young scientists. The Scientific Steering Committee (SSC) is a group of distinguished scientists with very broad experience, who are at the heart of a rigorous process to ensure that every programme is of the highest quality. Any group of researchers can submit a proposal to the INI. Proposals are reviewed by up to eight referees. In forming their judgements, the SSC considers these reports in the context of the quality of the research proposed, its timeliness, the opportunities it offers to bring together different branches of mathematics and/ or application areas, demand from and value to the UK community, and the potential impact which the special environment of the INI can engender. The SSC also takes account of activities at other Institutes world-wide. Those proposals that are approved by the SSC are assigned a time slot up to three years ahead. The organisers, who usually include some or all of the proposers, work with INI staff to invite participants and to identify whatever special requirements the programme may have identified. INI staff help with all practical aspects, and their commitment is hugely appreciated by visitors. The collaborations established between UK scientists and with those from elsewhere often continue and bear fruit over a long period, a major dividend of INI programmes. Wherever appropriate, this will be fostered by continuing the recent development of following up previous programmes through short workshops etc. This is a well-established format, which has been exceptionally successful in the 69 programmes run to date: the interdisciplinary breadth of programmes is unique, and their quality and the unrivalled INI environment attract world-leading experts (including 25 Fields medallists and 8 Nobel Prize-winners). But the INI is not complacent, and a number of changes will be instigated to enhance the quality and value of programmes to the community and end-users:- The engagement with the National Advisory Board and the network of Correspondents will be significantly strengthened to ensure that they have the fullest opportunity to shape the activities of the INI so that it is responsive to their interests;- Drawing on their inputs, the Director and staff will enhance the support for the SSC, so that it can increasingly stimulate the development of future programmes, particularly where there may be simply no alternative way to bring apparently disparate fields fruitfully together.- Access will be widened by ensuring that the IT facilities are state-of-practice and that web material is enhanced. - The Director and staff will also develop a strategy for more effectively involving industry and professional interests in the activities of the INI, so that they can influence and benefit more directly from its activities.

Publications

10 25 50
 
Description The Isaac Newton Institute is internationally acclaimed as a world-leading visitor research institute, running Programmes of the highest quality in the mathematical sciences and its applications. A measure of its success is the popularity of its Programmes and workshops, which attract world-class scientists from the UK and internationally. From March 2008 to February 2014, 33 programmes from one month to six months in length were held. See http://www.newton.ac.uk/science/programmes for the details and for videos of lectures delivered. In addition its impact acceleration arm, the Turing Gateway to Mathematics has run a strong sequence of outreach programme for users of mathematics.
Exploitation Route To help maintain the strength of the UK research base, the Institute builds and strengthens capacity in strategically important research areas; fosters agility in addressing new and fast moving research areas; increases engagement of UK researchers with the best groups internationally; and promotes the development of talented researchers.
Sectors Aerospace, Defence and Marine,Agriculture, Food and Drink,Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Electronics,Energy,Environment,Financial Services, and Management Consultancy,Healthcare,Government, Democracy and Justice,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology,Retail,Security and Diplomacy,Transport,Other

URL http://www.newton.ac.uk/
 
Description The science undertaken at the Institute covers the widest possible range from Astronomy to Zoology. Reports from the organisers of each of the 33 programmes are available on the Institute's website, with details of publications and lectures for doanloading on http://www.newton.ac.uk/. To this end the Turing Gateway to Mathematics (TGM) is actively involved with Impact Acceleration in the Mathematical Sciences nationally, see http://www.turing-gateway.cam.ac.uk/ TGM Mission Statement The Turing Gateway to Mathematics acts as a channel for the flow of knowledge and ideas between the mathematical sciences and the users of mathematics. It does this by facilitating interactions and activities such as programmes of work, events, projects, education and training in areas where maths skills are needed. Acting as a gateway between academic mathematicians and industry, government, and other disciplines, it helps to widen access to mathematics generally and shorten pathways to impacts. Background In March 2013, the Isaac Newton Institute for Mathematical Sciences launched the Turing Gateway to Mathematics. The TGM is an impact initiative of the INI and aims to stimulate the interchange of knowledge and ideas between academics of different disciplines and users of modern mathematics. Named after Alan Turing because of his exceptionally wide influence across a very broad front, the Gateway is a channel for collaboration and cooperation between academia and industry. It will help to shorten pathways to impact and increase access to modern mathematical methods for other industrial and academic areas. Since the TGM was established, it has consolidated its presence, delivering a range of activities across a number of different themes and sectors including financial risk, space and security sectors, Big Data and public policy. In addition to running the visitor research programmes, the Isaac Newton Institute brings academic researchers in the mathematical sciences together with industrial, commercial and government organisations and individuals through activities such as the Open for Business events. The success of these events (see http://www.newton.ac.uk/ofb/ ) together with follow-up activity associated with the Institute's research programmes is a key motivation for the Turing Gateway to Mathematics initiative. The TGM continues to nurture and expand engagement, and strategic relationships with the public sector, academia and industry are ongoing. This has been achieved by facilitating interactions and activities such as programmes of work, consultations, workshops, research and training programmes, as well as less formal, small working groups in which academics and business personnel work together. This approach enables engagement between individuals and organisations who were not previously working together and helps to achieve greater synergy across activity and more creative and imaginative approaches. This flexibility helps address targeted activity, without being proscriptive.
First Year Of Impact 2008
Sector Aerospace, Defence and Marine,Agriculture, Food and Drink,Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Energy,Environment,Financial Services, and Management Consultancy,Healthcare,Government, Democracy and Justice,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology,Security and Diplomacy,Transport,Other
Impact Types Cultural,Societal,Economic,Policy & public services

 
Description Cambridge Philosophical Society
Amount £35,000 (GBP)
Organisation Cambridge Philosophical Society 
Sector Learned Society
Country United Kingdom
Start 01/2007 
End 12/2017
 
Description Cambridge Philosophical Society
Amount £4,000 (GBP)
Organisation Cambridge Philosophical Society 
Sector Learned Society
Country United Kingdom
Start 01/2019 
End 12/2019
 
Description Clay
Amount £33,000 (GBP)
Organisation Clay Mathematical Institute 
Sector Charity/Non Profit
Country United States
Start 01/2013 
End 12/2015
 
Description Impact Acceleration Account
Amount £3,000 (GBP)
Funding ID ES/M500409/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 03/2016 
End 01/2017
 
Description Impact Acceleration Account
Amount £19,000 (GBP)
Funding ID EP/K503757/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start 07/2016 
End 03/2017
 
Description LMS
Amount £195,000 (GBP)
Organisation London Mathematical Society 
Sector Learned Society
Country United Kingdom
Start 01/2008 
End 12/2017
 
Description Leverhulme Trust
Amount £400,000 (GBP)
Organisation The Leverhulme Trust 
Sector Academic/University
Country United Kingdom
Start 01/2008 
End 12/2013
 
Description London Mathematical Society
Amount £35,000 (GBP)
Organisation London Mathematical Society 
Sector Learned Society
Country United Kingdom
Start 01/2019 
End 12/2019
 
Description Microsoft
Amount £100,000 (GBP)
Organisation Microsoft Research 
Sector Private
Country Global
Start 01/2011 
End 12/2014
 
Description Philanthropic Donation (Kirk)
Amount £600,000 (GBP)
Organisation Isaac Newton Institute for Mathematical Sciences 
Sector Academic/University
Country United Kingdom
Start 01/2012 
End 12/2020
 
Description Philanthropic Donation CLC Trust
Amount £150,000 (GBP)
Organisation GLC Charitable Trust 
Sector Charity/Non Profit
Country Unknown
Start 01/2009 
End 12/2015
 
Description Philanthropic Donation Garfield Weston
Amount £250,000 (GBP)
Organisation Garfield Weston Foundation 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2011 
End 02/2015
 
Description Philanthropic Donation Henderson
Amount £250,000 (GBP)
Organisation Henderson Community Foundation 
Sector Charity/Non Profit
Country Unknown
Start 04/2011 
End 03/2015
 
Description Algorithmic Trading: Perspectives from Mathematical Modelling 
Organisation Alan Turing Institute
Country Unknown 
Sector Academic/University 
PI Contribution The TGM developed and delivered the Programme for this one day workshop on High Frequency Trading.
Collaborator Contribution The Alan Turing Institute hosted the event at their site at the British Library.
Impact The event brought together over 100 delegates from industry and academia to hear presentations related to the latest advances in quantitative modelling and empirical studies and the impact of HFT and algorithmic trading on markets,
Start Year 2016
 
Description Big Data, Multimodality & Dynamic Models in Biomedical Imaging 
Organisation Engineering and Physical Sciences Research Council (EPSRC)
Country United Kingdom 
Sector Academic/University 
PI Contribution With support from EPSRC, via the POEMS network, the TGM delivered this workshop held at the Isaac Newton Institute in March 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation was provided to the POEMS network and the University partners.
Collaborator Contribution EPSRC funded the delivery of the event via the POEMS network. It was delivered in with the Centre for Mathematical Sciences, the Cambridge Big Data Strategic Initiative, the Fitzwilliam Museum and CRUK - Cambridge Institute.
Impact This one day meeting brought together those working on advances in imaging technology with researchers who investigate new image analysis methods, to help address challenges faced. In particular, there was a focus on the following topics; ?Big data problems and solutions ?Multimodality ?Dynamic imaging The workshop facilitated the communication of both current opportunities and challenges of new imaging techniques. It also allowed for the sharing of knowledge on current approaches and solutions of mathematical modelling and analysis approaches, with presentations on industry insights and state-of-the-art mathematical techniques for Big Data Analytics. A 'Lightning Talks' session provided the opportunity for early stage researchers and students to deliver short elevator pitches on relevant research projects in biomedical image analysis. This event was of interest to participants from the biomedical imaging industry, mathematics, engineering, computer science and physics, as well as biology and medicine.
Start Year 2015
 
Description Cantab Capital Institute for the Mathematics of Information Launch Event 
Organisation Cantab Capital Partners
Country United Kingdom 
Sector Private 
PI Contribution As user engagement partner to the Cantab Capital Institute for the Mathematics of Information, the TGM delivered this workshop held at the Isaac Newton Institute in May 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. Post event evaluation was shared with the Cantab Capital Institute for the Mathematics of Information.
Collaborator Contribution The Cantab Capital Institute for the Mathematics of Information provided the financial support to deliver this event and helped identify speakers to be approached.
Impact This event celebrated the launch of the exciting new research Institute which is a collaboration between the Cantab Capital Partners LLP and the University of Cambridge. Hosted within the Faculty of Mathematics of the University of Cambridge, the Cantab Capital Institute for the Mathematics of Information is pushing the boundaries of information science. It provided an opportunity to learn more about the work of the Institute, such as the specific questions that feed into fundamental methodology development. The research focuses on various applications across a number of interdisciplinary engagements. These could include for instance, economists and social scientists on questions about financial markets and the internet, or with physicists and engineers on software and hardware development questions in the context of security. Presentations at the event introduced areas of mathematical expertise represented in the Institute and outlined how fundamental techniques can be drawn on to meet the challenge of deciphering meaning in the ever growing volumes of data.
Start Year 2016
 
Description Challenges in Dynamic Imaging Data 
Organisation BAE Systems
Country United Kingdom 
Sector Private 
PI Contribution Supported by BAE Systems and working with Microsoft and the University of Cambridge, the TGM hosted a Challenges in Dynamic Imaging Data event in June 2015, which explored the processing and analysis of time-varying data. It highlighted various challenges, such as how to manage time varying aspects in order to understand and analyse dynamic image contents, detect objects, track and analyse their behaviours so that what is happening in a sequence of images can be better understood. Each of the three days featured a different industry challenge, with a security focus on day two. BAE Systems continue to work with key partners in industry and academia to actively address challenges which were identified in this workshop.
Collaborator Contribution Supported by BAE Systems and working with Microsoft and the University of Cambridge, the TGM hosted a Challenges in Dynamic Imaging Data event in June 2015.
Impact The workshop brought together industrial and academic experts from a diverse set of backgrounds in mathematics, computer science and information engineering including: ? Mathematical Analysis ? Computer Vision ? Probabilistic Modelling/Data Fusion ? Video Processing/Machine Learning ? Statistics/Probabilistic Modelling A key aim was to communicate the state of the art and understand the mathematical challenges that need to be overcome to ensure progress in this field. The output from the workshop will also feed into the forthcoming Isaac Newton Institute Programme on "Variational Methods and Effective Algorithms for Imaging and Vision" which will be taking place between 29 August and 20 December 2017. The event included opportunities for interaction and networking with break-out and discussion sessions.
Start Year 2014
 
Description Challenges in Dynamic Imaging Data 
Organisation Microsoft Research
Country Global 
Sector Private 
PI Contribution Supported by BAE Systems and working with Microsoft and the University of Cambridge, the TGM hosted a Challenges in Dynamic Imaging Data event in June 2015, which explored the processing and analysis of time-varying data. It highlighted various challenges, such as how to manage time varying aspects in order to understand and analyse dynamic image contents, detect objects, track and analyse their behaviours so that what is happening in a sequence of images can be better understood. Each of the three days featured a different industry challenge, with a security focus on day two. BAE Systems continue to work with key partners in industry and academia to actively address challenges which were identified in this workshop.
Collaborator Contribution Supported by BAE Systems and working with Microsoft and the University of Cambridge, the TGM hosted a Challenges in Dynamic Imaging Data event in June 2015.
Impact The workshop brought together industrial and academic experts from a diverse set of backgrounds in mathematics, computer science and information engineering including: ? Mathematical Analysis ? Computer Vision ? Probabilistic Modelling/Data Fusion ? Video Processing/Machine Learning ? Statistics/Probabilistic Modelling A key aim was to communicate the state of the art and understand the mathematical challenges that need to be overcome to ensure progress in this field. The output from the workshop will also feed into the forthcoming Isaac Newton Institute Programme on "Variational Methods and Effective Algorithms for Imaging and Vision" which will be taking place between 29 August and 20 December 2017. The event included opportunities for interaction and networking with break-out and discussion sessions.
Start Year 2014
 
Description Computational and Data Challenges in Environmental Modelling 
Organisation Natural Environment Research Council
Department NERC PURE programme
Country United Kingdom 
Sector Public 
PI Contribution The TGM delivered this event, in partnership with the Probability Uncertainty and Risk in the Environment (PURE) Knowledge Exchange Network, with contributions from SECURE and ReCoVER . The event was supported by the Institute of Physics - Computational Physics Group & Environmental Physics Group.
Collaborator Contribution The TGM delivered this event, in partnership with the Probability Uncertainty and Risk in the Environment (PURE) Knowledge Exchange Network, with contributions from SECURE and ReCoVER . The event was supported by the Institute of Physics - Computational Physics Group & Environmental Physics Group.
Impact The day focused on aspects of both models and data - with speakers from industry and academia covering a range of topics. Discussions included: ?Building complex environmental models ?Modern techniques in computational statistics ?The availability and quality of open data for environmental modelling ?Using environmental data to build new models ?How to use new technologies to collect novel environmental data. The event brought together people from computational and environmental sciences communities, including those from different hazards areas. Discussion covered ways of communicating model results to stakeholders and exploring new ways of accessing open data. Attendees were academics, industrialists, owners and/operators of HPC and cloud facilities and Research Councils. Attendees were invited to bring a poster related to their area of work/ research and 12 posters were exhibited. A post event report is currently being prepared.
Start Year 2015
 
Description Data-Rich Phenomena - Modelling, Analysing and Simulations using Partial Differential Equations 
Organisation Alan Turing Institute
Country Unknown 
Sector Academic/University 
PI Contribution The TGM delivered this event which was one of a number of scientific scoping workshops funded by the Alan Turing Institute. These workshops have helped to define the research programme at the Alan Turing Institute, whose mission is to undertake data science research at the intersection of computer science, mathematics, statistics and systems engineering. It aims to provide technically informed advice to policy makers and enable researchers from industry and academia to work together towards practical applications and solutions.
Collaborator Contribution This event was one of a number of scientific scoping workshops funded by the Alan Turing Institute. These workshops have helped to define the research programme at the Alan Turing Institute, whose mission is to undertake data science research at the intersection of computer science, mathematics, statistics and systems engineering. It aims to provide technically informed advice to policy makers and enable researchers from industry and academia to work together towards practical applications and solutions.
Impact This workshop brought together expert mathematicians and statisticians, working on nonlinear, nonlocal, and stochastic PDE models and on large, complex network problems, with industrial and academic data science users. By encouraging discussion among the participants in informal presentations and breakout sessions, it helped identify the most promising research directions combining PDE and data science, to be taken forward, details of which were fed back to the Alan Turing Institute.
Start Year 2015
 
Description Developments in Healthcare Imaging - Connecting with Industry 
Organisation Engineering and Physical Sciences Research Council (EPSRC)
Department Centre For Mathematical And Statistical Analysis Of Multimodal Clinical Imaging
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM delivered this workshop held at the Isaac Newton Institute in October 2016, working with the EPSRC (Centre for Mathematical Imaging in Healthcare), The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. Post event evaluation was shared with the EPSRC Centre for Mathematical Imaging in Healthcare.
Collaborator Contribution The EPSRC Centre for Mathematical Imaging in Healthcare provided the funding to deliver the event and worked with the TGM to identify the speakers and to develop the programme for the workshop.
Impact The event presented an opportunity to hear in detail about some of the current project collaborations, other industry challenges and explore new potential collaborations. Many of the challenges for this area emanate from issues around Big Data - the amount of data that imaging generates is phenomenal, yet it is in a non-traditional form which requires new mathematics and statistics to reveal the inherent knowledge it possesses. Talks provided an update on research projects and collaborations and a number of industry challenges and new collaborations were also highlighted. The Centre at Imperial provided some information on their research and the event closed with a presentation from EPSRC on the strategy and vision for this £10 million investment into high quality multidisciplinary research for better healthcare technologies and systems. A multidisciplinary approach was ensured as the event was of interest to researchers working in the field of analysis of clinical imaging, healthcare planners, clinicians, policy makers and industry partners. It presented an opportunity for knowledge exchange and networking between senior scientists from areas including mathematics, statistics, engineering, physics and biomedicine.
Start Year 2015
 
Description EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging - Launch Event 
Organisation Engineering and Physical Sciences Research Council (EPSRC)
Department Centre For Mathematical And Statistical Analysis Of Multimodal Clinical Imaging
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM delivered this workshop held at the Isaac Newton Institute in March 2016, working with the EPSRC (Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging), The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. Post event evaluation was given to the EPSRC (Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging.
Collaborator Contribution EPSRC provided the financial support to deliver this event. The EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging provided input as the Programme was developed and introduced the key speakers and provided an introductory talk on the Centre .
Impact This celebrated the launch of the new EPSRC Centre, which is exploring how mathematics and statistics can help clinicians to tackle serious health challenges such as cancer, heart disease and antibiotic resistant bacteria. The Centre, at the University of Cambridge, aims to achieve synergies between applied mathematics and statistics by focusing on the analysis of clinical imaging, particularly arising in neurological, cardiovascular and oncology imaging. The event provided an introduction to the Centre and outlined the projects where cutting-edge mathematics and statistics will be applied to investigate specific healthcare imaging problems. It provided a great opportunity for participants to network with senior scientists and relevant individuals from industry and government and learn more about state-of-the-art research in the area of analysis of multimodal clinical imaging. It was a multi disciplinary collaboration involving those from mathematics, statistics, engineering, physics and biomedicine who met with healthcare planners, clinicians, policy makers and industry partners
Start Year 2015
 
Description Engaging People in Data Privacy 
Organisation Government Communications Headquarters (GCHQ)
Country United Kingdom 
Sector Public 
PI Contribution The TGM delivered this workshop held at the Isaac Newton Institute in December 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. Post event evaluation was delivered to GCHQ and the academic organiser of the INI programme.
Collaborator Contribution GCHQ and the ESRC Impact Acceleration Account Cambridge provided the financial support to deliver this event. The academic organisers for the Data Linkage & Anonymisation Programme taking place at the INI provided input to identifying speakers and developing the Programme.
Impact This one day workshop explored new ways in which data subjects can take an active part in how their data is shared and it presented an interdisciplinary blend of science and technology, social policy, psychology and legal analysis. Presentations and discussion explored how people think about privacy and how this interacts with the use of personal data. It was multi disciplinary in nature, as it involved data holders, privacy practitioners and researchers; IT professionals across all sectors health providers; retailers, the financial sector, market and social research companies & Government.
Start Year 2016
 
Description Environmental Modelling in Industry - Study Group 
Organisation University of Leeds
Department Maths Foresees
Country United Kingdom 
Sector Academic/University 
PI Contribution In partnership with Maths Forsees and the PURE network, the TGM delivered an Environmental Modelling in Industry - Study Group related to the identified challenge of mitigating severe environmental events. This took place from 21st - 24th September 2015, and was sponsored by the Maths Foresees Network with input from the PURE network. Maths Foresees is a recently established network that forges strong ties between researchers in the applied mathematics community with researchers in selected strategic areas of the environmental science community and governmental agencies. The PURE Network is a national network bringing together researchers, industrialists and policy-makers in uncertainty and risk for natural hazards area, through collaborative working, knowledge exchange and the development of best practice.
Collaborator Contribution The event was sponsored by the Maths Foresees Network with input from the PURE network.
Impact The mitigation of severe environmental events and natural hazards is of increasing importance. Mathematical modelling and analysis has the potential to help address challenges identified in this area. Five industrial challenges have been posed by four organisations: JBA Trust, Fugro GEOS, the Met Office and the Environment Agency. These challenges involve both broad and specific issues relating to the application of models to predict and analyse environmental events. Over the course of four days, 45 mathematicians and environmental scientists worked to develop solutions (or partial solutions) to these challenges.
Start Year 2014
 
Description Mathematical Approaches to 3Rs Problems in Medicine and Healthcare Study Group 
Organisation National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs)
Country United Kingdom 
Sector Private 
PI Contribution In September 2014, the TGM ran a week long NC3Rs/POEMS Network Maths Study Group: Mathematical Approaches to 3Rs Problems in Medicine and Healthcare. The aim was to tackle research problems which, if addressed, could help to replace, reduce or refine the use of animals in research (the 3Rs). The event was seen to provide a unique opportunity for mathematicians and biologists to work together.
Collaborator Contribution The TGM ran the week long Maths Study Group: Mathematical Approaches to 3Rs Problems in Medicine and Healthcare on behalf of NC3Rs and the POEMS Network.
Impact Mathematical modelling has the potential to solve biological questions, provide new insights which benefit science, medicine and healthcare and reduce reliance on animal models. The aim of the Study Group was to tackle research problems which, if addressed, could help to replace, reduce or refine the use of animals in research (the 3Rs). The structure of the week involved problems being presented to participants on the first day, with the rest of the Study Group week spent brainstorming ideas and beginning to develop novel mathematical, statistical, or computational models for each of the problems. The Maths Study Group provided a unique opportunity for mathematicians and biologists to work together. It encouraged collaborative work towards applying mathematics to gain new insights and partnerships which could transform science. This event continued the Maths in Medicine Study Group (MMSG) series and built on the 2013 NC3Rs Maths Study Group.
Start Year 2014
 
Description Mathematics in the Spirit of Joe Keller 
Organisation University of Oxford
Department Wellcome Trust Centre for Human Genetics
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM developed and delivered this event to honour the memory and legacy of Joe Keller, who was one of the most influential applied mathematician residing in the West over the second half of the 20th Century.
Collaborator Contribution Colleagues from the Mathematical Institute at the University of Oxford helped develop the Programme working in partnership with the Director of the INI. Schlumberger and the Institute of Mathematics and its Applications provided contributions towards the delivery of this event.
Impact This informal meeting brought together friends, colleagues and associates of Joseph 'Joe' Keller, and all other interested researchers, to honour his memory and to acknowledge his legacy and the support he offered all applied mathematicians stretching over many decades. The meeting was aimed primarily at scientists residing outside the USA, to provide the opportunity to pay fitting tribute to Joe and his mathematics. Early career participants were particularly encouraged to attend.
Start Year 2016
 
Description Maths and Public Policy Programme of Work 
Organisation Engineering and Physical Sciences Research Council (EPSRC)
Country United Kingdom 
Sector Academic/University 
PI Contribution Mathematics has an important role to play in the development of effective public and social policy. During 2014 and 2015, the TGM delivered a programme of work and associated events on behalf of the EPSRC, that brought together mathematical sciences researchers and policy makers to explore modelling and problem solving. This included a launch event and two day-long workshops which further engaged stakeholders and helped disseminate information related to Cities & Infrastructure and Health & Society. A number of speakers reflected that modelling and using mathematics underpins a lot of the decisions that need to be made, so policy makers are keen to engage with academics, as there can be a number of uncertainties in relation to input to the models. The three workshops provided a good insight into how Government departments are implementing mathematical techniques to assist with policy decisions. They helped to raise the profile of the mathematical sciences and its importance to the public policy areas by engaging with nearly 200 academics and policy makers. Representatives from the Government Operational Research Service attended each of the events and were able to identify challenges, share information and highlight outputs with colleagues that could lead to future interactions between mathematicians and policy makers in Government Departments and help channel resources where there is most potential impact.
Collaborator Contribution During 2014 and 2015, the TGM delivered a programme of work and associated events on behalf of the EPSRC, that brought together mathematical sciences researchers and policy makers to explore modelling and problem solving.
Impact The three workshops provided a good insight into how Government departments are implementing mathematical techniques to assist with policy decisions. They helped to raise the profile of the mathematical sciences and its importance to the public policy areas by engaging with nearly 200 academics and policy makers. Representatives from the Government Operational Research Service attended each of the events and were able to identify challenges, share information and highlight outputs with colleagues that could lead to future interactions between mathematicians and policy makers in Government Departments and help channel resources where there is most potential impact.
Start Year 2014
 
Description New Approaches to Anonymisation 
Organisation Government Communications Headquarters (GCHQ)
Country United Kingdom 
Sector Public 
PI Contribution The TGM delivered this workshop held at the Isaac Newton Institute in December 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation report was written for the academic organiser.
Collaborator Contribution GCHQ and the ESRC Impact Acceleration Account Cambridge provided financial support to deliver this event. The academic organiser for the Data Linkage & Anonymisation Programme at the INI worked with the TGM to identify the speakers and to develop the programme for the workshop.
Impact The overall aim of this workshop on anonymisation was to disseminate the latest advances in the area. There was a significant number of leading scientists from the INI programme present, but talks were explicitly targeted at a broad audience of users who deal with personal data and were looking for ways to share those data. This event was part of a week-long workshop on New Developments in Data Privacy, linked to the Isaac Newton Institute (INI) research programme on Data Linkage and Anonymisation. It highlighted new approaches to anonymisation and brought together leading experts as well as data users and 'data holders' with the aim of disseminating state-of-the-art techniques and approaches from the INI research programme. The programme of talks highlighted developments in state-of-the-art approaches and techniques including the Anonymisation Decision Making Framework, new developments in privacy models, advances in synthetic data production & designing anonymised data with detailed geography. It provided the opportunity to identify and set the agenda for further common challenges for future research and collaboration. It involved data practitioners from all sectors including Government, policy makers, regulatory authorities and statisticians; commercial organisations in the financial, retail, telecommunications, transport, utilities and other data intensive environments; biomedical and health researchers & social and economic researchers.
Start Year 2016
 
Description New Directions in Cryptography and Applications to Cyber-Security 
Organisation BAE Systems
Country United Kingdom 
Sector Private 
PI Contribution With support from BAE Systems Applied Intelligence, the TGM delivered this workshop held at Bletchley Park in June 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation report was given to BAE Systems.
Collaborator Contribution BAE Systems provided the financial support to deliver this event and input to the development of the Programme and invitees list.
Impact This workshop provided a useful forum for the presentation and discussion of new research directions in cryptography and the potential applications to cyber-security. It helped engage with the UK research community to discuss broad research directions in cryptographic technologies and the underlying mathematics that underpins them. Talks highlighted directions in encryption and secure computation and their applications across a number of areas including cloud computing, smart grid, mobile and embedded computing, hardware, software, and network security. Another key aim was to increase awareness of R&D activities across the research community to help inform future research directions and address some of the issues highlighted above, such as with legacy schemes and time frames for keeping data secure. It was multidisciplinary as the programme was made up of talks on state-of-the-art cryptography and cyber-security and sought to assess directions and developments in both theoretical and applied areas.
Start Year 2015
 
Description New Directions in the Mathematics of Information - Cantab Capital Institute for the Mathematics of Information 
Organisation Cantab Capital Partners
Country United Kingdom 
Sector Private 
PI Contribution The TGM delivered this workshop held at the Centre for Mathematical Sciences in November 2016, working with the Cantab Capital Institute for the Mathematics of Information The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. Post event evaluation was shared with the Cantab Capital Institute for the Mathematics of Information.
Collaborator Contribution Cantab Capital Partners LLP provided the funding to deliver the event via the Cantab Capital Institute for the Mathematics of Information, who provided input as the Programme was developed.
Impact The event provided an update to the launch that was held in May 2016. It provided more detailed information on research projects and collaborations taking place, as well as highlighting potential new ones. The collaboration is multi - disciplinary as the advance of data science and the solution of big data questions relies on fundamental mathematical techniques and in particular, their intra-disciplinary engagement. Attendees involved those with mathematical expertise ranging from statistics, applied and computational analysis, to topology and discrete geometry - all with the common goal of advancing data science questions.
Start Year 2015
 
Description Optimisation in Space Engineering 
Organisation European Space Agency
Country France 
Sector Public 
PI Contribution This initiative originated from discussions and ideas emanating from an Isaac Newton Institute programme on Polynomial Optimisation which took place in August 2013. OSE is a collaborative initiative between the TGM, the University of Southampton, University of Birmingham, the European Space Agency (ESA), Airbus Defence and Space, University of Strathclyde and University of Bremen. The TGM has been the main delivery partner for 3 workshops held in 2013, 2014 and 2015.
Collaborator Contribution This initiative originated from discussions and ideas emanating from an Isaac Newton Institute programme on Polynomial Optimisation which took place in August 2013. OSE is a collaborative initiative between the TGM, the University of Southampton, University of Birmingham, the European Space Agency (ESA), Airbus Defence and Space, University of Strathclyde and University of Bremen.
Impact OSE aims at providing space companies, universities, research institutes, and organisations with a forum of excellence in the area of optimisation in space engineering. Participants are invited to share their latest engineering problems and proposed solutions so as to promote the creation and exchange of ideas and the identification of new trends and required developments. The 1st UK workshop on Optimisation in Space Engineering (OSE) was held on 5-6 November 2013 in Birmingham with one of the outputs being the formation of a national working group. This event was jointly organised by the Turing Gateway to Mathematics (TGM), the European Space Agency (ESA) and the University of Southampton, and it was hosted by the University of Birmingham. In this first meeting, participants shared their latest engineering problems and proposed solutions so as to promote the creation and exchange of ideas and the identification of new trends and required developments. The 2nd OSE workshop held in Cambridge on 19- 20 March 2014 took forward outputs generated from the first workshop, such as identified challenges and issues. The event sought to address these through a series of talks, discussion and break-out group type activities. Feedback indicated the value of engagement between academia and industry, especially at an early stage of a problem formation. Additionally, a number of example space engineering optimisation problems were investigated and the solutions compared and contrasted to gain understanding of the efficiency of the various techniques. The 3rd workshop took place at the University of Strathclyde on 17-18 September 2015 and helped to widen the sphere of expertise to Europe. A space challenge competition was run as part of this event and an open discussion on this took place at the workshop. The challenges were chosen because of their relevance to actual space missions: 1. Optimal Area Mapping for the Asteroid Impact Mission AIM, 2. Optimal Trajectory for an Active Debris Removal Mission, 3. Optimal Deployment Strategy and Constellation Management.
Start Year 2013
 
Description Perspectives on Data Linkage - Techniques, Challenges and Applications 
Organisation ESRC Impact Acceleration Account Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM delivered this workshop on data linkage held at the Isaac Newton Institute in September 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation was given to the academic organisers as well as the ESRC IAA lead at Cambridge.
Collaborator Contribution ESRC provided the financial support to deliver this event via the IAA. The academic organiser for the wider Data Linkage and Anonymisation Programme at the INI provided input as the Programme was developed.
Impact The overall aim of this workshop on data linkage was to encourage interaction between participants from different disciplines, to facilitate cross-disciplinary learning and to set an agenda of the big challenges in the area of data linkage. Topics covered and discussed ranged from computational and statistical aspects of data linkage, to privacy and confidentiality and application case-studies and examples. This event was of interest to individuals from : ?Biomedical and health research ?Social and economic research ?Government, policy makers, regulatory authorities and statisticians ?Commercial organisations in the financial and retail sectors,
Start Year 2016
 
Description Post-Quantum Research 
Organisation Government Communications Headquarters (GCHQ)
Country United Kingdom 
Sector Public 
PI Contribution This is an initiative of the Turing Gateway to Mathematics, with support from GCHQ. There is a realistic possibility that in the medium term the power of quantum computation will have the potential to compromise some cyber security systems. This initiative aims to identify and address the most important challenges and directions for post-quantum cyber-security research now and in the future. A key area is the need to develop and broaden the post-quantum research community in the UK and a programme of activities is being developed in order to help address this. There is also a current need to develop classical cryptographic security into schemes that are resistant to quantum computer attack.
Collaborator Contribution This is an initiative of the Turing Gateway to Mathematics, with support from GCHQ.
Impact A two day workshop was held in May 2014 where progress was made to identify exactly what the problems are, in particular, the capabilities and demonstration limitations of a quantum computer. This highlighted the need for consensus on this in order to inform the assessment of potential cryptographic systems. Four break-out sessions were run on the second day of the workshop and addressed the following: 1. What is the state-of-the-art in quantum algorithms? 2. What are the mathematical challenges in quantum algorithms? 3. What are the cyber security issues today? 4. What are the challenges for mathematicians in cyber security arising out of quantum computing? Overall feedback from those who attended the event was positive and highlighted the benefit of having a wide spread of backgrounds in attendance. These were advantageous in helping facilitate the range of discussions that took place, allowing for good exploration of the issues/threats that could potentially be faced in the future. A second workshop Post-Quantum Research - Addressing Future Challenges and Directions took place on the 18th - 19th September 2014. This took forward ideas generated in the first workshop, with a key aim to gain consensus in identifying the mathematical challenges in post-quantum cryptography. There was also a focus on setting the agenda for future research directions and the event was open to a wider audience, including public and industrial stakeholders.
Start Year 2013
 
Description Predictive Multiscale Materials Modelling 
Organisation Knowledge Transfer Network
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Working with the Warwick Centre for Predictive Modelling, the Knowledge Transfer Network and the Isaac Newton Institute, the TGM developed and delivered this four day workshop in December 2016, to identify and integrate synergistic methodologies from various research fields, towards finding solutions for predictive materials modelling challenges. The multiscale and multiphysics nature of materials gives rise to extremely challenging and unique mathematical and algorithmic problems currently prohibiting uncertainty quantification and predictive materials modelling.
Collaborator Contribution The Warwick Centre for Predictive Modelling and the Knowledge Transfer Network sponsored the delivery of the event. The Warwick Centre for Predictive Modelling worked with the TGM to identify the speakers and to develop the programme for the workshop.
Impact Through a series of talks, the workshop helped identify state-of-the-art in predictive multiscale materials modeling that could be applied to industry led challenges, such as those related to chemical mechanical materials modelling, complex fluid and solid material interaction, error estimation, high dimensional optimisation, machine learning and multi-fidelity simulations. The discussions and participant feedback indicated the value of exploring real world applications, as well as the opportunity to engage with a wide variety of speakers and to input to the open panel sessions. About 20 technical posters were presented at the workshop and participants were invited to submit full length research and review papers related to the focus of the workshop to be included in a forthcoming special edition of the Journal of Computational Physics.
Start Year 2014
 
Description Predictive Multiscale Materials Modelling 
Organisation University of Warwick
Country United Kingdom 
Sector Academic/University 
PI Contribution Working with the Warwick Centre for Predictive Modelling, the Knowledge Transfer Network and the Isaac Newton Institute, the TGM developed and delivered this four day workshop in December 2016, to identify and integrate synergistic methodologies from various research fields, towards finding solutions for predictive materials modelling challenges. The multiscale and multiphysics nature of materials gives rise to extremely challenging and unique mathematical and algorithmic problems currently prohibiting uncertainty quantification and predictive materials modelling.
Collaborator Contribution The Warwick Centre for Predictive Modelling and the Knowledge Transfer Network sponsored the delivery of the event. The Warwick Centre for Predictive Modelling worked with the TGM to identify the speakers and to develop the programme for the workshop.
Impact Through a series of talks, the workshop helped identify state-of-the-art in predictive multiscale materials modeling that could be applied to industry led challenges, such as those related to chemical mechanical materials modelling, complex fluid and solid material interaction, error estimation, high dimensional optimisation, machine learning and multi-fidelity simulations. The discussions and participant feedback indicated the value of exploring real world applications, as well as the opportunity to engage with a wide variety of speakers and to input to the open panel sessions. About 20 technical posters were presented at the workshop and participants were invited to submit full length research and review papers related to the focus of the workshop to be included in a forthcoming special edition of the Journal of Computational Physics.
Start Year 2014
 
Description Probability and Statistics in Forensic Science - Dissemination Workshop 
Organisation ESRC Impact Acceleration Account Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM delivered this workshop held at the Isaac Newton Institute in December 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation report was written and circulated to the academic organisers.
Collaborator Contribution The ESRC Impact Acceleration Account sponsored the delivery of the event. Support was also given by the Criminal Bar Association. The academic organisers of the INI Research Probability and Statistics in Forensic Science Programme worked with the TGM to identify the speakers and to develop the programme for the workshop.
Impact This one day workshop followed an earlier consultation event held in London in February 2016, that involved discussion with members of the legal community and senior academics, to better understand the difficulties and concerns that the profession faces. Discussions in the consultation highlighted the need for a clear consensus as to the uses and limitations of statistics and probability in criminal evidence and how these things should be expressed. It was also agreed that maths experts in court should communicate in ways that people can understand and that more independent validation of assumptions and models, including software used for DNA analysis, is required. This event brought together experts and stakeholders (such as end-users from the legal profession) to highlight the key outputs from the six month research programme. It also presented opportunities for practitioners to discuss barriers and key challenges with leading researchers in the field. Attendees at the event were from a number of areas including legal professionals involved in cases where statistics and probability are used; legal scholars who work in the area of statistics and the law; Mathematicians and statisticians & forensic scientists and the Police.
Start Year 2016
 
Description Soft Matter - Theoretical and Industrial Challenges 
Organisation University of Cambridge
Department Cavendish Laboratory
Country United Kingdom 
Sector Academic/University 
PI Contribution Working with the Lucasian Professor of Mathematics, the TGM developed and delivered this four day workshop in September 2016. It highlighted developments in theoretical physics and mathematical frameworks for the modelling and simulation of soft matter systems, with particular emphasis on how these models can inform industrial processes, materials, and design and helped celebrate the life and work of Sir Sam Edwards.
Collaborator Contribution The University of Cambridge and St Gobain sponsored the delivery of the event. The Lucasian Professor of Mathematics worked with the TGM to identify the speakers and to develop the programme for the workshop. Industry challenges were delivered by Unilever, Schlumberger, Croda, Mars Foods and NPL.
Impact Building on the foundations laid by Sir Sam Edwards, talks provided leading-edge advances and insights into soft matter systems and their applications. Scientific topics included both traditional and novel polymeric materials; powders, glasses and jammed materials; and interfacial soft matter such as emulsions and colloidal gels. Current and potential applications areas for these systems include health, energy and environment, consumer goods, advanced materials, and foods.
Start Year 2015
 
Description Statistical Scalability for Streaming Data - Programme Launch 
Organisation Engineering and Physical Sciences Research Council (EPSRC)
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM delivered this workshop held at the Royal Statistical Society in November 2016. Working with the EPSRC StatsScale Project, the TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation reports was provided to the EPSRC StatsScale Project.
Collaborator Contribution The EPSRC StatsScale Project sponsored the delivery of the event and worked with the TGM to identify the speakers and to develop the programme for the workshop.
Impact This event introduced the StatScale Programme, highlighting research projects being undertaken under the Programme's main research challenge areas and their connection to some motivating applications. Those involved were from industry sectors working with streaming data, particularly those involved in the energy, healthcare technologies and digital economy sectors. Early career researchers with an interest in statistical challenges in this area were also involved.
Start Year 2016
 
Description Techniques for Data Linkage and Anonymisation 
Organisation Economic and Social Research Council
Country United Kingdom 
Sector Public 
PI Contribution With support from ESRC, the TGM delivered this workshop held at the Isaac Newton Institute in October 2014.
Collaborator Contribution ESRC provided the financial support to deliver this event.
Impact Combining or linking data from different data sets can lead to better information and understanding, which in turn leads to bet­ter policy decisions. However, this can create issues around pre­serving the privacy and confidentiality of personal information. The two areas - data linkage and anonymisation - are fundamen­tally interdisciplinary and this event helped to highlight the areas of research which are needed to develop techniques for the safer linkage and merging of data, as well as more effective anonymisa­tion. This workshop was attended by individuals from a number of areas including: ?Biomedical and health research ?Social and economic research ?Government, policy makers, regulatory authorities and statisticians ?Commercial organisations in the financial and retail sectors, and others
Start Year 2014
 
Description Theoretical Foundations for Statistical Network Analysis 
Organisation ESRC Impact Acceleration Account Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution The TGM delivered this workshop held at the Isaac Newton Institute in November 2016. The TGM developed the Programme, identified and approached speakers and liaised with speakers and delegates to deliver the event. All delegate materials were developed and provided and post event material sent to delegates. A post event evaluation report was shared with the academic organisers.
Collaborator Contribution ESRC ( IAA) provided the financial support to deliver this event. The academic organisers for the Statistical Network Analysis Programme being held at the INI, input to the development of the Programme.
Impact The overall aim of this workshop was to encourage interaction between participants from different disciplines, to facilitate cross-disciplinary discussion on tackling the complexity of data sets and how to visualise and analyse networks meaningfully. The workshop aimed to explore some of these challenges and highlight recent developments in the field and applications within industry. The programme of talks highlighted developments in: ?social networks; ?financial networks; ?spatial and transport networks; ?market research/ social analytics; ?the supply chain; and ?those involved in healthcare. It was multidisciplinary as involved delegates from biomedical and bioinformatics; healthcare industry; software research; computer science and statistics; Government and policy makers & economics and commercial organisations in the financial sector. Also participants from the 2 other academic Programmes being held at the INI at that time attended parts of the event.
Start Year 2015
 
Description Theory of Big Data 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution In partnership with University College London (UCL), the TGM has helped to deliver 2 events within the UCL Theory of Big Data Conference.
Collaborator Contribution In partnership with University College London (UCL), the TGM has helped to deliver 2 events within the UCL Theory of Big Data Conference.
Impact The 1st UCL Theory of Big Data Conferencetook place in January 2015 and included a half day TGM workshop, Coping with Big Data - an Analytics and Computational Perspective. brought together leading expertise in the areas of Big Data methodology, analytics and computation and provided an insight into the latest approaches and techniques needed to cope with this rapidly developing and important area. Big Data Analytics for Financial Services on Thursday 7th January 2016 at UCL, London. This half-day event embedded within the UCL Theory of Big Data Conference, aimed to address some of these issues through a series of talks from leading industry and academic experts. The focus was on Big Data Analytics - the process of examining large data sets containing a variety of data types to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. Presentations specifically addressed issues within the areas of systemic risk and financial regulation.
Start Year 2013
 
Description Government Operational Research Service Annual Conference 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact The TGM was invited to present information on its activities and Programmes of Work at the Government Operational Research Service Annual Conferences. At each conference, a poster was displayed and an information leaflet about the TGM was supplied to all delegates ( 200 attendees per conference).
Year(s) Of Engagement Activity 2015,2016
URL http://www.operational-research.gov.uk/recruitment
 
Description Independent Review of Knowledge Exchange in UK Mathematical Sciences 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact The TGM and INI were represented at the first Knowledge Exchange in Mathematical Science Review Committee Meeting. The TGM gave a presentation on some of the issues that should be addressed as part of this review. The TGM and INI are fully engaged in the process as members of the review board and committee. Over the course of 2017, the review will collect evidence from stakeholders; seek examples of best practice for mathematical sciences knowledge exchange; review models for support; and disseminate findings widely and summarise these findings in a public report.
Year(s) Of Engagement Activity 2016
URL https://www.ktn-uk.co.uk/articles/are-we-making-the-most-of-our-mathematical-masterminds
 
Description KTN Industrial Mathematics Community Meetings 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact The TGM attends and speaks at these twice yearly knowledge exchange networking meetings. Participants provide updates on upcoming events, challenges and opportunities faced by those working with and within the mathematics community, opportunities to secure funding and to develop joint working.
Year(s) Of Engagement Activity 2013,2014,2015,2016
 
Description Knowledge Exchange Community Meeting 2015 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact The TGM was represented and gave a presentation at this meeting hosted by the ICMS in Edinburgh as a forum for discussion on knowledge exchange for those from the maths community. It provided the opportunity to share information, hear from the organisations who support UK knowledge transfer activity, highlighted funding opportunities and showcased best practice.
Year(s) Of Engagement Activity 2015
URL http://www.icms.org.uk/workshops/KEcommunity