PRIvacy-aware personal data management and Value Enhancement for Leisure Travellers (PriVELT)

Lead Research Organisation: University of Kent
Department Name: Sch of Computing

Abstract

The consumption of a seamless travel experience requires travellers to share their personal data with numerous individual travel and tourism service providers. There is a general lack of guidelines on how travellers should manage their data sharing activities while travelling, which lead to two unwanted situations: 1) travellers simply share their data without understanding the privacy and security risks and consequences; 2) travellers become over-worried about such risks so that they stop sharing data, which reduce their overall travel experience and prevent organisations to provide better (more personalised) services. The wide spectrum of data sharing with many entities including on social media, instant messaging and other online social platforms makes the situations worse as travellers often cannot see a big picture of how they have shared their data in the past to adapt their data sharing behaviour.

PriVELT will address the two-sided challenges associated with offering a seamless and highly personalised end-to-end travel experience while balancing the privacy and security needs of leisure travellers. On the one hand, travel service providers need to identify effective ways to incentivise travellers to share personal data in exchange of tangible benefits such as higher quality service, personalised offers, discounts, or add-on services. On the other hand, travellers need to better manage the sharing of their personal data to minimise privacy-related risks while optimising value from a seamless travel experience. Therefore, PriVELT aims to develop an innovative user-centric and privacy-aware digital platform that will empower leisure travellers to better manage the sharing of their personal data with travel service providers and other entities and foster new business opportunities for the travel and tourism industry through encouraging better (more transparent and effective) usage of travellers' data.

PriVELT will develop the user-centric platform based on a holistic socio-technical framework of privacy-related traveller behaviour. The framework will provide intervention points to effectively nudge travellers to share their personal data more responsibly. PriVELT draws from theories in social sciences, including consumer psychology and behavioural economics, to better explain how consumers make decisions to disclose personal information in exchange for values. PriVELT also considers travellers' psychological limitation, such as limited understanding of privacy risks, which may induce irrational behaviour in privacy-related decision-making process while traveling.

In order to achieve its aim, PriVELT's research will be interdisciplinary, co-created, theory-informed, evidence-based, user-centric, and real world-facing. PriVELT will combine both social and technical methods to collect and analyse data, integrating focus groups and interviews with relevant stakeholders, a panel survey, lab-based user studies, and field studies with real domestic and international travellers (end users) to identify and apply an array of effective nudging strategies to inform travellers with risks and consequences of sharing personal data while traveling.

One of the key outcomes will be a digital platform that will be used for: 1) monitoring travellers' data sharing activities; 2) enhancing situational awareness of privacy risks related to data shared; 3) providing an innovative way of achieving dynamic consent management for participants, allowing dynamic updating of the consent while travelling; ; 4) providing better recommendations for travellers to adapt their data sharing behaviours. The digital platform will be composed of three main components: 1) tools at the traveller (user/client) side in the form of a mobile app, 2) an infrastructure and tools at the server side for anonymised data aggregation and analytics purposes, and 3) the API and user interfaces for consumers of data shared by travellers.

Planned Impact

The Je-S form's "Academic Beneficiaries" field explains the expected academic impact in detail, so here we focus on economic and societal impact.

PriVELT will benefit leisure travellers by 1) empowering them with better management of personal data through enhanced knowledge and control of the sharing of personal data with trusted stakeholders while traveling; 2) informing them about the risks and consequences of oversharing personal data; 3) providing them opportunities to obtain tangible benefits, such as personalised offers, discounts, add-on services, etc., in exchange of sharing personal data; 4) providing them with a seamless end-to-end travel experience through better service integration. In a longer term, with a continuous use of our platform, controlled personal data sharing can be habit forming. Therefore, PriVELT can help foster a more responsible personal data management behaviour and culture amongst citizens for a safer cyber-physical environment.

PriVELT will benefit various stakeholders, including travel service providers (airlines, hotels, tour operators, cruise, tourism marketers, travel agents, etc.), government bodies, and other related industries (insurance, banking, retail). Travel service providers will be able to take advantage of the innovative and efficient ways of improving their services from a better (more transparent and effective) use of travellers' data through intelligent personalisation solutions. Further, PriVELT will facilitate the coordination among various stakeholders to deliver a seamless end-to-end travel experience. This will create opportunities for travel service providers to enhance their service or create new service offerings for travellers. As a result, PriVELT will play a role in stimulating the growth of the travel and tourism industry in the UK and worldwide.

Additionally, travel and tourism stakeholders will benefit from serving more responsible customers, hence reducing risks of misuse of personal data, which may have future consequences on their infrastructure and other customers. This benefit can extend to relevant industries who may serve leisure travellers along their journey.

Our findings regarding user responses to incentives and dynamic consent management will inform government authorities (e.g., border control) and other stakeholders in the travel and tourism industry such as Expedia (member of our SG) to design better interfaces when obtaining travellers' personal data to enhance trust and encourage compliance. This benefit can be generalised for other designers of user interfaces involving the capturing and storage of user personal data.

Vendors and service providers offering predictive analytics and business/marketing intelligence solutions such as PredicSis.ai (member of our SG) will benefit from PriVELT's knowledge base (based on theory and empirical research) and the automated approach (based on artificial intelligence) to contextualisation and personalisation applied in the development of our software tool. These vendors will have opportunities to improve their solutions and/or create new platforms.

International and local travel and tourism organisations such as World Travel & Tourism Council (member of our SG) will benefit from PriVELT as the developed socio-technical framework will provide a more effective way to foster coordination among tourism businesses and collaboration with government to raise awareness of privacy risks and to induce responsible data management behaviour.

Economically speaking, the project can help 1) prevent or reduce costs of misuse of personal data by empowering leisure travellers to make informed decisions; 2) improve efficiency in travel service personalisation through intelligent personalisation solutions; 3) create new business opportunities that contribute directly to the economy; 4) government and communities ensure safety of citizens while traveling overseas, thus reduce costs of risk alleviation.
 
Description We have found out a new method for modelling privacy issues using a user-centric graphic model based on flows of personal data shared by a target user, which can be used to automatically detect privacy issues and provide enhanced awareness and recommendations to the user for balancing privacy and value enhanced via data sharing. This model has been refined to include value returns to data sharers. Further updates are expected and incorporation of the model into an app is planned.

We have produced a first version of the socio-technical framework for balancing privacy and value enhancement, tailored for leisure travels but generalisable to other application areas. The framework is being implemented as a mobile app.

Through analysis of data collected from a large panel survey of leisure travellers, we have identified a number of ways to cluster users into different profiles and a machine learning based method to automatically classify users with a small number of questions.

Through the development of an Android app for the project, we have proved that it is feasible to implement key components of the socio-technical framework for end users. The app is still being developed and we aim at finishing it for a field study in summer 2022.

The project has engaged a number of students in different capacities and helped develop their skills. Two PDRAs (one at Kent and the other at Surrey) have moved on to become a lecturer at a UK university, and several part-time student RAs have moved on to develop their career further in industry.

The project has helped enhance collaborations between the partners, and also enabled a new EPSRC-funded project on cyber security and privacy risks of mobility-as-a-service ecosystems (EP/V039164/1), which will use results from this project.
Exploitation Route The project's progress is behind the schedule but not significantly so. The COVID pandemic has caused issues mainly on lab-based empirical studies and recruitment of research engineers for one work package. Some parts of the original plan were more complicated than we expected, so we are evaluating how to re-adjust the project's WPs and tasks.
Sectors Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Leisure Activities, including Sports, Recreation and Tourism,Culture, Heritage, Museums and Collections,Transport

URL https://privelt.ac.uk/
 
Description The research involved human participants and industrial stakeholders as part of its research, so some non-academic impacts have been produced naturally in the project duration. The app we are developing is expected to make further non-academic impact during the field study planned and if tested well will be released for public use. The project has supported and inspired a follow-up EPSRC project MACRO (EP/V039164/1) and one industry-funded PhD project on federated learning applied to transport and mobility. It also supported the PI's discussion with a wide range of industrial stakeholders on potential future projects including a major capital investment bid over £10m. The project helped develop a large number of early career researchers, one of them is now a Senior Lecturer at a UK university. They include PhD students from social sciences (Psychology, Business and Politics/International Relations), so contributing to promote interdisciplinary research collaboration between subjects. The project's outcome has been used as part of the teaching material of the MSc Cyber Security and MSc Computer Science (Cyber Security) programmes, helping educate future cyber security professionals about user-centric approaches to privacy protection. The project engaged a number of students directly as research assistants and research interns, so also contributed to training research skills of these students. The project's outcomes have been disseminated to a wide range of audiences including researchers, students and industrial partners.
Sector Aerospace, Defence and Marine,Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Financial Services, and Management Consultancy,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Culture, Heritage, Museums and Collections,Security and Diplomacy,Transport
Impact Types Cultural,Societal,Economic

 
Description Dissemination to entrepreneurship group
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Master training
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact Master training
 
Description PhD student training - involvement in research on GDPR and blockchain
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact A PhD student funded by a non-UK source (Turkey) has been involved in the research work of the EPSRC funded project PriVELT (EP/R033749/1) since October 2019. The research is about the tension between GDPR and blockchain, as part of Task 1.4 of PriVLET. A systematic literature review is being conducted on related work. Being involved in the research has helped train the PhD student to be familiar with research methods and collaboration with a larger research team including an expert from Law. The research is also related to the PhD student's own research topic, so can help shape his research in future.
 
Description PhD student training - involvement in research on personal data management platforms
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact A PhD student at the University of Kent has been involved in part-time research of the EPSRC funded project PriVELT (EP/R033749/1, EP/R033609/1), recruited by the University of Warwick but also working with other project members at the University of Kent. His main research is on developing software libraries for a research prototype of the PriVELT project. He started in 2019 and his work is expected to continue until the end of the project.
 
Description PhD training
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact A PhD student at the University of Kent has been involved in part-time research of the EPSRC funded project PriVELT (EP/R033749/1, EP/R033609/1), recruited by the the University of Kent. His main research is on managing developing portal for a research prototype of the PriVELT project.
 
Description PhD training
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact PhD training
 
Description Student project "Algorithms and tools for protecting privacy of leisure travellers"
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact The student project was defined as part of the EPSRC funded research project PriVELT (EP/R033749/1). Two MSc students at the University of Kent have been working on the projects from December 2019 as paid part-time student research assistants, and a third one joined in Feb 2020 to form a MSc dissertation project. The project involves development and usability testing of an Android app for WP3 of PriVELT and implementation of some algorithms in WP2. The students are supervised by the PI of PriVELT, and working closely with some other researchers of PriVELT. The project will finish by early September when all the students will submit their dissertations. The work conducted by the two first MSc student also helped support software development of another EPSRC funded project ACCEPT (EP/P011896/2).
 
Description Student projects on GDPR vs blockchain
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
Impact A number of Turkish students have been involved in two MSc dissertation projects that were inspired by research in the EPSRC funded project PriVELT (EP/R033749/1). The projects are still ongoing but the training impact has been produced as the students learned how to conduct research on an interdisciplinary topic and with overseas researchers from the UK.
 
Description Technical report for Department for Digital, Culture, Media & Sport (DCMS)
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL https://cyber.kent.ac.uk/reports/2022_DCMS_report_Cyber_Security_Risks_NZ_Technologies.pdf
 
Description Future Payment Systems: Data, Technology and Privacy after Covid
Amount £2,530 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start  
 
Description Improving the Privacy and Security in Federated Learning
Amount £153,347 (GBP)
Organisation Honda Research Institute Europe GmbH 
Sector Private
Country Germany
Start  
 
Description Mobility as a service: MAnaging Cybersecurity Risks across Consumers, Organisations and Sectors (MACRO)
Amount £550,218 (GBP)
Funding ID EP/V039164/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 08/2021 
End 08/2023
 
Description WMG Accelerator
Amount £730,000 (GBP)
Organisation High Value Manufacturing Catapult 
Sector Private
Country United Kingdom
Start 01/2019 
End 12/2021
 
Title A User-Centric Semantic Model for Representing and Discovering Privacy Issues 
Description A computational model for representing and discovering privacy issues related to data sharing activities of a target user was developed and two papers have been published (http://hdl.handle.net/10125/64541 and https://doi.org/10.1007/978-981-15-1304-6_21). Two research presentations have been given to advocate the method to the research community. 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? No  
Impact This is still the early stage of the method being made public, so its scientific impact is still to be seen. Some researcher have discussed with the authors on the proposed method. 
 
Title Cyber Securtiy Taxonomy 
Description As part of a research paper (https://doi.org/10.1145/3339252.3339282), we produced a data-driven general taxonomy to cover many different aspects of cyber security information online. The whole taxonomy has been released as open data and a website is set up to allow interactive visualisation of the taxonomy. 
Type Of Material Computer model/algorithm 
Year Produced 2020 
Provided To Others? Yes  
Impact The taxonomy was just released a few weeks ago now, so its impact is still to be seen. We will disseminate it more widely and plan to add support to allow other researchers to co-evolve the taxonomy. The taxonomy is hosted on the website of Kent Interdisciplinary Research Centre in Cyber Security (KirCCS), EPSRC funded Kent ACE-CSR (EP/S018964/1), and will be maintained as part of core open data from KirCCS. 
URL https://cyber.kent.ac.uk/research/cyber_taxonomy/
 
Description Partnership with WMG Accelerator 
Organisation University of Warwick
Department WMG Accelerator
Country United Kingdom 
Sector Academic/University 
PI Contribution a working group with the WMG Accelerator, to embed findings and software toolsets into their cohort and maximize impact.
Collaborator Contribution making cohort businesses available to pilot findings from the research project.
Impact see software section.
Start Year 2019
 
Title Android libraries for personal data management paltforms 
Description As part of the EPSRC funded project PriVELT (EP/R033749/1), a number of Android software libraries have been developed to allow easy access from Android apps to a couple of personal data management platforms (DataBox and HAT, both were outcomes from EPSRC funded projects). The software is still in its early stage of development and will be made open source later. The development started in 2019 and the more stable versions of the libraries were made available in 2020. 
Type Of Technology Software 
Year Produced 2020 
Impact They are still in its early stage, but other team members of the PriVELT project have been looking at using the libraries for developing a research prototype for the project. 
 
Title PriVELT Android App_Version 2 
Description The Android app was co-developed with another partner (Nottingham Trent University) for the project, which we plan to release for general use and also for our planned field studies. Its main aim is to let travellers to have an enhanced level of awareness on privacy issues with data sharing and make more informed decisions on balancing privacy concerns and travel experience. 
Type Of Technology Software 
Year Produced 2023 
Open Source License? Yes  
Impact This new version of the app is still being internally tested and we plan to release it later in 2023. 
 
Title PriVELT Android app 
Description The Android app was co-developed with another partner (University of Warwick) for the project, which we plan to release for general use and also for our planned field studies. Its main aim is to let travellers to have an enhanced level of awareness on privacy issues with data sharing and make more informed decisions on balancing privacy concerns and travel experience, 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact The app is still being internally tested and we plan to release it later in 2021. 
 
Title PriVELT Android app and data extraction libraries 
Description As part of the EPSRC funded projects PriVELT (EP/R033749/1) and ACCEPT (EP/P011896/2), work on WP3 aims at producing an Android app that will allow leisure travellers to monitor how their personal data are shared with different entities before, during and after travels and provide personalised recommendations on how to better balance their privacy and travel experience. At the time of this submission (03/2020), a number of Android libraries for automatically logging into different online services and extracting data have been produced, and a first prototype of the Android app has been produced. The app has not been released under an open source license or made publicly available, but the project plans to do so at a later time of the project or after the project's end. A number of student developers have contributed to the development of the software. The development work started in 2019 but the first prototypes were released internally in 2020. 
Type Of Technology Software 
Year Produced 2020 
Impact Since the software has not been publicly released, it has not produced impact out of the project team yet. It however helped train a number of MSc students to learn how to conduct applied research. 
 
Title PriVELT Wiki Portal 
Description This wiki for PriVELT project provides description for the following items: overview, system architecture, use cases, workflow, technical details, and user manual. 
Type Of Technology Webtool/Application 
Year Produced 2022 
Open Source License? Yes  
Impact n/a 
URL https://gitlab.com/privelt-uk/privelt_project/-/wikis
 
Title Privelt Application Portal 
Description Android application to centralise known data from different services. The project is funded by PriVELT (https://privelt.ac.uk/). PriVELT aims to make travellers aware of the risks of the Internet. The application collect all private data known by the different services (see Services supported), to inform the user and help him to reduce his privacy risks. PriVELT also monitor local installed applications by checking all the permissions they are asking for, and which permissions are granted by the user. PriVELT does not have a remote server, so all the information is hold locally on the device user. The local database is secured with a password known and chosen only by the user. PriVELT also have scores and charts to help the user to understand the privacy issues he is facing. 
Type Of Technology Webtool/Application 
Year Produced 2021 
Open Source License? Yes  
Impact n/a 
URL https://gitlab.com/privelt-uk/PriVELT
 
Description AI for East Midland Universities 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact nearly 20 leading academics attended the AI for East Midland Universities, in collaboration with Alan Turing Institute
Year(s) Of Engagement Activity 2022
 
Description An invited keynot speech at IWCFTA 2020 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Invited keynote talk "Data Privacy in the Cyber-Physical World: Looking through the Lens of Complex Networks", IWCFTA 2020 (13th International Workshop on Complex-systems for Future Technologies and Applications), held virtually online
Year(s) Of Engagement Activity 2020
URL http://chaos-fractal.cn/2020/2020/invitedspeakers.html
 
Description Business Model Transformation driven by Environment, Social and Governance (ESG) Compliance 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Session Chair for Business Model Conference 2022 to discuss new business models and ESG, driven by privtech
Year(s) Of Engagement Activity 2022
 
Description Cyber cecurity activity sheet for school pupils 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Schools
Results and Impact Shujun Li and Jason Nurse, "How to Beat the Cybercriminals and Stay Safe Online," Futurum Careers, Issue 4, pages 32-33, March 2020, DOI:10.33424/FUTURUM43. This article is published both in press and online, and the EPSRC funded Kent ACE-CSR (EP/S018964/1) is planning to run a number of workshops to engage with local school pupils. The article covers research done in EPSRC funded projects ACCEPT (EP/P011896/2) and PriVELT (EP/R033749/1), and other wider research at the Kent ACE-CSR.
Year(s) Of Engagement Activity 2020
URL https://doi.org/10.33424/FUTURUM43
 
Description Invited talk at FIC 2020 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact An invited panel discussion at the national cyber security forum FIC 2020, which was also attended by participants from other countries including some from the UK. A YouTube video was produced by FIC 2020 on the discussion.
Year(s) Of Engagement Activity 2020
URL https://www.youtube.com/watch?v=dge187PVVO0
 
Description Invited talk at Middlesex University on HHMC in 02/2021 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact This was a departmental seminar organised by the Department of Computer Science of the Middlesex University. Work in a number of research projects was included as part of the slides.
Year(s) Of Engagement Activity 2021
URL https://www.cs.mdx.ac.uk/colloquium-when-humans-and-computers-come-together-a-new-or-resurged-old-re...
 
Description Kent Cyber Security Forum (KCSF) 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact KCSF 2019 is the 2nd annual public engagement event of the Kent ACE-CSR, and this event had a special focus on serving local businesses and university students. It was attended by a good range of people from universities, industry and government. A number of research projects and external organisations supported this event and some public media sent journalists to the event. A marketing video was made for the event which has been used to help advertise the work of Kent ACE-CSR provides to the general public. A more detailed explanation of the event can be found at the event's web page.
Year(s) Of Engagement Activity 2019
URL https://cyber.kent.ac.uk/events.html#KCSF2019
 
Description Kent Tech R&D Conference 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact Haiyue Yuan presented a poster that provides an overview of PriVELT project at the Kent R&D conference held at University of Kent. At the conference, people with various background (i.e., academic, tourism, and software engineering) were interested in the project and had in-depth discussion with the presenter.
Year(s) Of Engagement Activity 2022
URL https://www.kent.ac.uk/events/event/54151/kent-technology-fair
 
Description Launch a public survey for understanding travellers' privacy-related attitudes and behaviours before, during, and after leisure travels 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact A public survey for understanding travellers' privacy-related attitudes and behaviours before, during, and after leisure travels was launched in March 2023, over 300 participants around the world were recruited to partake the study.
Year(s) Of Engagement Activity 2023
URL https://cyber.kent.ac.uk/survey/index.php/357753?lang=en
 
Description Oral presentation at the 2022 5th IEEE Conference on Dependable and Secure Computing (IEEE DSC 2022) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Haiyue Yuan remotely presented a talk on 'Cyber Security Risks of Net Zero Technologies' at the 2022 5th IEEE Conference on Dependable and Secure Computing (IEEE DSC 2022).
Year(s) Of Engagement Activity 2022
URL https://attend.ieee.org/dsc-2022/agenda/
 
Description Panel discussion "Data Privacy and Cyber Security" at ENTER 2020 conference 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact This is a panel chaired by PI of the EPSRC funded project PriVELT (EP/R033749/1), which involved a researcher and two industrial panelists to talk about cyber security and privacy in the e-tourism context. The panel was part of the ENTER 2020 (International eTourism Conference), the 27th Annual Conference Organized by IFITT, University of Surrey, UK, which is co-sponsored by the PriVELT project and chaired by PriVELT's Surrey PI. The audience was a mixture of researchers and practitioners from both HEIs and industry. There were some research students as well.
Year(s) Of Engagement Activity 2020
URL https://enter2020.ifitt.org/speaker/shujun-li/
 
Description Personal Data Economy and opportunities in transforming businesses. 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact 20 professionals attended an workshop organised by Warwick University, Exploring personal data driven business and industry transformation and identify possible collaboration with entrepreneurs
Year(s) Of Engagement Activity 2022
 
Description Poster presentation at a Machine Learning workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact This is a workshop organised jointly by the Kent Innovation and Enterprise with School of Computing, where posters about EPSRC funded project ACCEPT, PriVELT and the Kent ACE-CSR were displayed. The main audience of the event was businesses from local regions.
Year(s) Of Engagement Activity 2019
 
Description Prof Shujun Li gave an invited talk at Webinaire Cybersécurité et véhicules connectés, organized by GIS CybCOM 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Invited talk on "Privacy through the Lens of Data Flows", Webinaire Cybersécurité et véhicules connectés, organized by GIS CybCOM, held virtually
Year(s) Of Engagement Activity 2021
URL https://cybcom.univ-gustave-eiffel.fr/evenements/dernier-evenement/
 
Description Prof Shujun Li gave an invited talk at 2021 International Cryptography and Coding Frontier Symposium 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Invited talk on "Observer-Resistant Password Systems: How hard to make them both usable and secure?", 2021 International Cryptography and Coding Frontier Symposium, held virtually online
Year(s) Of Engagement Activity 2021
 
Description Prof Shujun Li gave an invited talk at 2022 3rd UK Cyber Security PhD Winter School, 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Invited talk "Funding opportunities for ECRs (Early Career Researchers)", 2022 3rd UK Cyber Security PhD Winter School, organized by the University of Surrey, University of Bristol, University of Kent, University of Lancaster, RHUL(Royal Holloway, University of London), Northumbria University, and NCSC (National Cyber Security Centre), UK, held virtually online
Year(s) Of Engagement Activity 2022
URL https://www.surrey.ac.uk/uk-cyber-security-phd-winter-school/winter-school-programme
 
Description Prof Shujun Li gave an invited talk at AI Summit London 2021, London, UK 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Invited talk on "From AI for Security to Secure, Privacy-Friendly And 'Good' AI", AI Summit London 2021, London, UK
Year(s) Of Engagement Activity 2021
URL https://theaisummit.com/