The Institute for Mathematical and Statistical Sciences at UCL, in partnership with the Data Science for Health Equity (DSxHE) community, is holding a one-day symposium on "Statistical Methods for Health Equity". Our primary objective is to bring together researchers, healthcare professionals, and policymakers to help bringing the latest data-driven innovations into practice in order to better understand and ultimately reduce health inequalities. We are delighted to welcome Prof. Bhramar Mukherjee (University of Michigan) as our keynote speaker. 

As a satellite event, we are also hosting a "Replication Games" session on the theme of health equity on Tuesday 7th November. This is a one-day event that brings researchers together to collaborate on replicating important or recent papers in the field. To find out more about this session and to register, please click on the registration link provided here.

Please note that the main symposium event will be hybrid, combining both in-person and virtual participation. As seating is limited, we kindly ask that you only register for an in-person ticket if you are certain you can attend in person. If you would like to attend the symposium in person, please use the registration link provided here. 

If you wish to attend online, please RSVP below.

The AI Fringe is a series of events hosted across London and the UK to complement the UK Government’s AI Safety Summit by bringing a broad and diverse range of voices into the conversation. This symposium is part of the AI Fringe series of events. By attending the symposium, you are agreeing to abide by the AI Fringe code of conduct. More details can be found here.

Please direct any enquiries to Brieuc Lehmann (b.lehmann@ucl.ac.uk) and Sudipta Chowdhury (sudipta.chowdhury@ucl.ac.uk). We have a small number of travel grants available for early-career researchers (MSc and PhD students) travelling from within the UK to attend the symposium.

Symposium Schedule (subject to change)

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       Time                                           Session

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09:00 - 09:30  ------------  Registration and Coffee

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09:30 - 09 :45  ------------  Introduction

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09:45 - 10:45  -------------  Keynote (Prof Bhramar Mukherjee)

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10:45 - 11:15  --------------   Break

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11:15 - 12:30  --------------   UCL Research Talks

1) Investigating inequalities for patients with cancer (Helen Blake)

2) Uncovering inequalities in the reported side effect profiles of drug formulations (David Shorthouse)

3) Assessment of the healthcare and hospital admissions of 1.2 million adult non-EU migrants and refugees in England (Rachel Burns)

4) Evaluating the effect of health visiting on child and maternal health outcomes: a target trial approach using administrative data (Catherine Bunting)

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12:30 - 13:45  --------------   Lunch

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13:45 - 15:00  --------------   Interactive Workshop (Antonella Maia Perini)  Cascading effects of health inequalities in AI systems

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15:00 - 15:30  --------------  Coffee Break

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15:30 - 16:45  --------------  Panel Session 

 Bridging the gap: Translating data science research into actionable impact for more equitable health policy

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16:45 - 17:00  --------------  Closing remarks

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17:00 - 18:00  --------------  Networking drinks

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Keynote speaker

Bhramar Mukherjee is John D. Kalbfleisch Distinguished Professor, John  D. Kalbfleisch Collegiate Professor and Chair of Biostatistics;  Professor of Epidemiology and Global Public Health, University of  Michigan School of Public Health; She also serves as the Associate  Director for Quantitative Data Sciences, The University of Michigan  Rogel Cancer Center. Her research interests include statistical methods  for analysis of electronic health records, studies of gene-environment  interaction, Bayesian methods, shrinkage estimation, analysis of high  dimensional exposure data. Bhramar and her team took an active role in  modeling the SARS-CoV-2 virus trajectory in India during the pandemic,  with the research being covered by major media outlets like Reuters,  BBC, NPR, NYT, WSJ, Der Spiegel, Australian National Radio and the Times  of India. She has co-authored more than 360 articles in statistics,  biostatistics, medicine, and public health. She is the founding director  of the University of Michigan’s summer institute on Big Data. Bhramar  is a fellow of the American Statistical Association and the American  Association for the Advancement of Science. She is the recipient of many  awards for her scholarship, service and teaching at the University of  Michigan and beyond: including the Distinguished Woman Scholar Award  from Purdue University in 2021, the Janet L. Norwood award from the  University of Alabama at Birmingham and Sarah Goddard Power Award from  the University of Michigan Academic Women’s Caucus in 2022. Bhramar will  be inducted to the US National Academy of Medicine Fall 2023. This year  she received the Karl E Peace Award for statistical contribution  towards betterment of society awarded by The American Statistical  Association and was named a Distinguished University Professor at the  University of Michigan.