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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  
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 Causal Inference: Introduction to Partial Identification In person Mark Kelson Reproducibility To follow  
26 October 2022: tba 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 Leif Isaksen Humanities, Heritage and Creative Industries Details  
9 November 2022: 14:00-15:00 Sayash Kapoor (Princeton University) Leakage and the Reproducibility Crisis in ML-based Science Zoom Mark Kelson Reproducibility To follow  
16 or 17 November 2022: tba Mike Quayle (University of Limerick) To follow In person and by Zoom Chico Camargo Computational Social Science To follow  
23 November: tba Joni Coleman (KCL) To follow To follow Eilis Hannon Health 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  
22 February 2023: Emanuele Ratti (University of Bristol) Machine leaning and the ethics of induction  To follow Sabina Leonelli Data Ethics, Governance and Openness To follow