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For now, continue using the current page and event submission process (freeze period dates to be advised).
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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:
Wednesday 19 November 2025
Spatial Ecology of War and Peace: Perspective of Global Networked Tipping Dynamics
Date: 19 November 2025, 14:00 - 15:00
Speaker
:
Weisi Guo (Centre for Autonomous and Cyber-Physical Systems, Cranfield University)
Venue Details: Kindly register to our mailing list to receive the Teams invitation!
Organiser:
Metrics and Models Management Group (University of Oxford)
Hosts:
TBA
Editor:
Richard Rahal