IDSAI team
We carry out basic research in advanced data analytics, from foundations and method development to wider-ranging applications. In particular, our strengths are in climate, environment, sustainability and health. This work is underpinned by work on the philosophy of AI and the extent to which conceptual and ethical assumptions are built into algorithms.
The Institute for Data Science and Artificial Intelligence is overseen by the IDSAI Executive Board chaired by the Deputy Vice-Chancellor (Research and Impact), Professor Neil Gow FRS. The Board brings together the Pro Vice-Chancellor and Executive Deans from all the University’s Faculties:
- Professor Dan Charman from Faculty of Environment, Science and Economy
- Professor Sallie Lamb from Faculty of Health and Life Sciences
- Professor Gareth Stansfield from Faculty of Humanities, Arts and Social Sciences.
The two Co-Directors and the IDSAI Manager are also members of the Executive Board.
The Executive Board holds the full executive authority for IDSAI and looks to the Co-Directors to deliver on the Institute’s aim to drive exciting new interdisciplinary research and education.
The Executive Board is supported by IDSAI Senior Administrator Helen Chapman.
The IDSAI Management Group is responsible to the DVC for Research and Impact, Professor Neil Gow, and the IDSAI Executive Board for the effective running of the IDSAI.
The IDSAI Management Group is led by the IDSAI Co-Directors, Professor Miriam Koschate-Reis and Professor Mark Kelson and includes a Deputy Director of IDSAI and the IDSAI Manager.
- IDSAI Deputy Director for Education - Professor Tim Frayling
- IDSAI Manager – Dr Emily Paremain
The Management Group is supported by Helen Chapman, Senior Administrator, IDSAI.
The IDSAI theme leads build new communities and catalyse new interdisciplinary research activities in their areas. They are also a key point of liaison and information regarding the Alan Turing Institute.
Information about each research theme area can be found here.
| Lead | Theme |
| Professor Tim Dodwell | Data Centric Engineering |
| Professor Sabina Leonelli | Data Ethics, Governance and Openness |
| Dr Niccolo Tempini | Data Ethics, Governance and Openness |
| Professor Leif Isaksen | Humanities, Heritage and Creative Industries |
| Dr Federico Botta | Urban Analytics |
| Dr Lewys Brace | Security and Policing |
| Professor Oliver Hauser | Behavioural and Experimental Data Science |
| Dr Fabrizio Costa | Foundations of Data Science |
| Professor David Llewellyn | Health |
| Dr Eilis Hannon | Health |
| Dr Miriam Koschate-Reis | Computational Social Science |
| Dr Chico Camargo | Computational Social Science |
| Dr Chunbo Luo | Remote Sensing |
| Prof Hywel Williams | Environmental Intelligence |
| Dr Janice Ranson | Reproducibility |
| Prof Danny Williamson | Uncertainty Quantification |
| Prof Peter Challenor | Uncertainty Quantification |
| Prof Ed Keedwell | Trustworthy AI |
| Dr Zhivko Zhelev | Trustworthy AI |
| Dr Ke Li | Trustworthy AI |
The IDSAI Cornwall Research Hub is led by Dr Saptarshi Das and Dr Bram Kuijper. It focussed on real-world data-driven fundamental and applied research in
- machine learning,
- big data analytics,
- computational statistics and artificial intelligence (AI) methods to solve various challenges arising in control theory and optimisation,
- dynamical systems,
- signal, image and video processing,
- large-scale and computing intensive numerical modelling with diverse application areas in renewable energy, environment, geosciences and mining engineering,
- mathematical and computational biology,
- epidemiology,
- fluid dynamics,
- biomedical engineering,
- AI for industrial innovation and business,
- space plasma physics/space weather.
It aims to facilitate co-ordination of cross-disciplinary theoretical and applied research on data science and AI in the context of regional expertise in Cornwall and internationally, by engaging with local and global industries, small and medium-size business and other stakeholders. We closely work with the colleagues from the Environment Mathematics (Enviro-Math), Environment and Sustainability Institute (ESI), Centre for Ecology and Conservation (CEC), Camborne School of Mines (CSM), Renewable Energy and Energy Policy Group at the Penryn Campus, and the European Centre for Environment & Human Health (ECEHH) at the Truro Campus. In the ESI based data science and AI activities, we apply dynamical systems and control theory to issues in natural and human population demography, resource management, conservation ecology, biodiversity and environmental growth, and cyber-physical systems in the context of health and well-being.
The IDSAI Cornwall Hub aims to bring together diverse complementary expertise using both quantitative and qualitative data from physical, environmental, biological, medical, engineering, economic and social sciences in order to create new transdisciplinary collaborations and novel research project ideas.
Four new MSc applied data science courses
- MSc Applied Data Science and Modelling
- MSc Applied Data Science (Renewable Energy):
- MSc Applied Data Science (Environment and Sustainability)
- MSc Applied Data Science (Ecology and Evolution)
Any informal queries from potential PGT, PGR, Post-doctoral students and industrial collaborators/SMEs can be made to Bram Kuijper and Saptarshi Das.
Turing Fellows are established scholars with proven research excellence in data science, artificial intelligence, or a related field. They contribute to new ideas, drive collaborative projects, secure external funding and provide research expertise which is actively connected with the Institute and its network of universities and industry partners.
The University has created a centralised Research Software Engineering (RSE) group that will assist our research community with complex and bespoke research software needs.
