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Metrics and Models
We have a focus on the metrics and models used across health and social data science. We’re specifically interested – but not exclusively – in predictive methods (i.e., machine/deep learning, LLMs), because this is where most of the organiser’s shared interests overlap. However, we are broadly interested in all computational tools and techniques, including but not limited to the mathematical philosophy underpinning prediction, and efforts to make research more reproducible in general.
Type: Seminar Series
Series organisers:
Ridhi Kashyap (University of Oxford),
Charles Rahal (University of Oxford),
Luc Rocher (University of Oxford),
Daniel Valdenegro (University of Oxford),
Jiani Yan (University of Oxford),
Mark Verhagen (University of Oxford),
Xiaowen Dong (University of Oxford),
Duiyi Dai (University of Oxford)
Timing: Wednesdays fortnightly at 2pm UK Time
Web Address:
https://metrics-and-models.github.io/
Organising department: Nuffield Department of Population Health
Talks:
No upcoming talks to display for this series.
Editor:
Richard Rahal
