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The University of British Columbia

Activities between the University of British Columbia and Exeter include a joint research symposium focused on Community, Culture, Creativity, and Wellbeing held at Exeter in May 2018 and a faculty-led, co-funded initiatives in Sport, Exercise and Health Sciences, Climate Change and Digital Humanities.

University of South Florida

University of South Florida and Exeter have entered into a 5 year student exchange between the two Universities. They launched the University of Exeter / University of South Florida Research Catalyst Fund to provide grants to support joint research initiatives between the two institutions.

Tsinghua University

The University of Exeter and Tsinghua University have launched a jointly-awarded PhD degree programme in climate and environmental sciences which supports six students to be co-supervised between Tsinghua's Department of Earth System Science and Colleges at Exeter that conduct research on earth systems and environmental sciences. Read more.

Hong Kong University of Science and Technology (HKUST)

A partnership between Exeter and HKUST will enable students embarking on Engineering or Computer Science undergraduate degrees at HKUST to finish their degree at Exeter, before spending a fifth year at Exeter's Law School, completing either an LLM (Master of Laws) or a Juris Doctor (JD). Read more.

Nanyang Technological University

NTU and Exeter are working in partnership to deliver six split-site Biomedical PhD studentships. If successful, you will benefit from expert supervision from researchers in both institutions and have the opportunity to research and live in two great locations, for up to eighteen months in each.

University of Geneva

To celebrate, and further extend, the strong relationship of staff within the University of Exeter and the University of Geneva, the two universities have launched a new seed fund to support developing research links.

University of Queensland

The University of Exeter and The University of Queensland have partnered to establish the QUEX Institute, a new multi-million pound partnership designed to bolster their joint global research impact. Read more.

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Institute for Data Science and Artificial Intelligence

Past events

When	Time	Description	Your diary
24 May 2023	12:30	IDSAI Seminar: Creating data assets and collaborative partnerships for artificial and computational intelligence: the opportunities in the healthcare domain with Umesh Kadam, Professor of General Practice and General Health, Medical School	Add event
17 May 2023	14:00	Using socially-aware word embeddings to infer variation in the meaning of political terms over time with Hubert AU, DPhil student at University of Oxford	Add event
26 - 28 April 2023	11:30	Human Centric Artificial/Computational Intelligence and Applications	Add event
15 February 2023	14:00	Developing data science and AI from a public sector perspective: the Turing Public Policy Programme with Helen Margetts OBE, Professor of Society and the Internet and Director of the Public Policy Programme at the Alan Turing Institute	Add event
8 February 2023	16:00	IDSAI-ECRN Launch Event	Add event
1 February 2023	14:00	Reproducibility standards for machine learning in the life sciences with Stephanie Hicks, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health	Add event
12 January 2023	14:00	Geological mapping in the age of Artificial Intelligence with Dr Charlie Kirkwood (IDSAI)	Add event
7 December 2022	14:00	Building a Social Media Belief Observatory by Professor Joshua Introne at School of Information Studies, Syracuse University	Add event
29 November 2022	13:00	Deep Neural Networks as Dynamical Systems by Dr Andrew Corbett (IDSAI)	Add event
23 November 2022	14:00	Variant-level fine-mapping in major depressive disorder: new insights, new questions by Joni Coleman, Lecturer in Statistical Genetics at KCL	Add event
17 November 2022	14:00	Bipartite attitude networks: a Method for Exploring Opinion-Based Groups, Group-Based Opinions, and Social Polarization by Professor Michael Quayle at University of Limerick	Add event
9 November 2022	13:30	Leakage and the Reproducibility Crisis in ML-based Science by Sayash Kapoor, a second year PhD candidate at Princeton University.	Add event
2 November 2022	14:00	Design Thinking On Mars: Architecting New Systems for Collaborative Science on the Martian Surface	Add event
26 October 2022	14:00	Working with the National Pupil Database in the ONS Secure Research environment by Alexey Bessudnov, Associate Professor (Sociology) at Exeter	Add event
19 October 2022	14:00	Causal Inference: Introduction to Partial Identification and Recent Advances by Jakob Zeitler, PhD Candidate in Foundational Artificial Intelligence at the Centre for Doctoral Training in Foundational AI at UCL, London	Add event
12 October 2022	14:00	Deep-learning detection of harmful algal blooms by Dr David Moffat, PML	Add event
5 October 2022	14:00	Working with No 10 and ONS data scientists: data science for public policy by Dr Federico Botta	Add event
28 September 2022	14:00	Using adjoint to accelerate inference in linear systems	Add event
22 September 2022	14:00	Using Machine Learning to Create an Early Warning System for Welfare Recipients	Add event
30 June 2022	18:00	The Ethics of Artificial Intelligence	Add event
27 June - 1 July 2022	9:00	IDSAI Data Science Week 2022	Add event
9 June 2022	14:00	Machine Learning Techniques for Remote Sensing	Add event
1 November 2021	15:00	Presenting the Turing Fellow Research Projects - Prof Tim Lenton and Prof Gavin Shaddick: Data Science for Sustainable Development: Environment, Climate and Health	Add event
11 October 2021	15:00	Presenting the Turing Fellow Research Projects - Prof Sabina Leonelli: The Evidence Base of Artificial Intelligence: Supporting Data Fairness to Enhance Research Quality	Add event
28 June - 2 July 2021	9:30	IDSAI Data Science Week 2021	Add event
24 May 2021	15:00	Presenting the Turing Fellow Research Projects - Peter Challenor	Add event
24 May 2021	15:00	Presenting the Turing Fellow Research Projects - Prof Peter Challenor: Uncertainty Quantification (UQ) for Black-Box Computational Models with Application to Machine Decisions	Add event