Multi-day event
Wednesday
8
November
2023
9:00 am
–
6:00 pm
University College London
UCL Symposium on Statistical Methods for Health Equity
A hybrid symposium exploring how to bring data-driven innovations into practice to better understand and ultimately reduce health inequalities.
Hosted by:
The AI Fringe
UCL Institute for Mathematical and Statistical Sciences
Description
The symposium, featuring Professor Bhramar Mukherjee as keynote speaker, occurs on November 8th and offers both in-person and virtual attendance.
The agenda includes UCL research talks covering various health inequality topics, a workshop on health inequalities in AI systems led by Dr Michael Katell and team, and a panel session on translating data science into equitable health policy. There will be refreshments and food provided, plus networking drinks to conclude the event.
To attend in person, register via Eventbrite.
To attend virtually, register via our website.
Agenda
Please note the details below are subject to changes, with more details to come.
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Speakers
Professor Bhramar Mukherjee
John D. Kalbfleisch Distinguished University Professor, University of Michigan