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IDSAI Research Seminar Series 2022-2023

We are delighted to announce this year's IDSAI Research Seminar Series, which has been organised by our Theme Leads here at IDSAI.

 

Date/Time Name of Speaker Seminar Title Delivery IDSAI Theme Lead/Contact Research Theme Further Details Recording
22 September 2022: 14:00-15:00 Dario Sansone Using Machine Learning to Create an Early Warning System for Welfare Recipients  In person and by Zoom Oliver Hauser Behavioural and Experimental Data Science  Details Recording 
28 September 2022: 14:00-15:00 Richard Wilkinson (University of Nottingham) Using adjoint to accelerate inference in linear systems  In person and by Zoom Peter Challenor/Danny Williamson Uncertainty Quantification Details Recording 
5 October 2022: 14:00-15:00 Federico Botta Working with No 10 and ONS data scientists: data science for public policy In person and by Zoom Federico Botta Urban Analytics Details Not available
12 October 2022: 14:00-15:00 David Moffat (PML) Deep-learning detection of harmful algal blooms In person and by Zoom Chunbo Luo/Steven Palmer Remote Sensing Details Not available
19 October 2022: 14:00-15:00 Jakob Zeitler (ULC) Causal Inference: Introduction to Partial Identification and Recent Advances In person Mark Kelson Reproducibility Details Recording
26 October 2022: 14:00-15:00 Alexey Bessudnov Working with the National Pupil Database in the ONS Secure Research environment In person and by Zoom Alexey Bessudnov N/A Details Not available
26 October 2022: postponed - to be rescheduled Mark Girolami (Alan Turing Institute) To follow To follow Richard Everson N/A To follow  
2 November 2022: 14:00-15:00 Sara Schnadt (NASA Jet Propulsion Laboratory) Design Thinking On Mars: Architecting New Systems for Collaborative Science on the Martian Surface Zoom delivery Leif Isaksen Humanities, Heritage and Creative Industries Details Recording
9 November 2022: 13:30-14:30 (with tea and coffee beforehand at 13:00) Sayash Kapoor (Princeton University) Leakage and the Reproducibility Crisis in ML-based Science Zoom delivery, but also in person Mark Kelson Reproducibility Details  
17 November 2022: 14:00-15:00 Mike Quayle (University of Limerick) Bipartite attitude networks: a Method for Exploring Opinion-Based Groups, Group-Based Opinions, and Social Polarization In person and by Zoom Chico Camargo Computational Social Science Details Not available
23 November: 14:00-15:00 Joni Coleman (KCL) Variant-level fine-mapping in major depressive disorder: new insights, new questions  To follow Eilis Hannon Health Details Not available 
29 November: 14:00-15:00 Andrew Corbett Deep Neural Networks as Dynamical Systems In person and by Zoom Andrew Corbett   Details Recording 
7 December: 14:00-15:00 Joshua Introne (Syracuse University) Building a Social Media Observatory Zoom delivery Mark Kelson Computational Social Science Details  
15 December 2022: 12:30-13:30 Charlie Kirkwood Geological Mapping in the age of Artificial Intelligence In person     Details  
19 January 2023: 14:00-15:00 Jim Smith (UWE) Health Data Research UK project - title to be confirmed To follow Ed Keedwell Trustworthy AI To follow  
1 February 2023: 14:00-15:00 Stephanie Hicks (John Hopkins Biochemistry and Molecular Biology PhD Program) Reproducibility standards for machine learning in the life sciences (working title)
To follow Mark Kelson Reproducibility To follow  
8 February 2023: 14:00-15:00 Caitlin Robinson (University of Bristol) To follow To follow Federico Botta Urban Analytics To follow  
15 February 2023: 14:000-15:00 Helen Margetts (Oxford) To follow To follow Richard Everson   To follow  
22 February 2023: tbc Emanuele Ratti (University of Bristol) Machine leaning and the ethics of induction  To follow Sabina Leonelli Data Ethics, Governance and Openness To follow  
15 March 2023: 14:00-15:00 Matthew Forshaw (Senior Advisor for Skills) - Turing

Developing a resilient Data Science profession: observations from the UK’s national skills landscape

To follow Richard Everson   To follow