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. The preliminary schedule can be found above.

Please note that this will be a hybrid symposium. As spaces are limited, we ask you to only register for an in-person ticket if you are sure you will be able to join us in person. If you wish to join us online, please register here instead.

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.

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.

UCL's Departments of Mathematics and Statistical Science work together as constituent parts of UCL's Institute for Mathematical and Statistical Sciences (IMSS). The IMSS aims to become London's leading centre for research, teaching and collaboration in mathematics and statistics. Find out more about the IMSS here.

Data Science for Health Equity (DSxHE) is a cross-sector community of academics, health and care professionals, policy-makers and enthusiasts advancing health equity through data science. Find out more about DSxHE 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.

UCL Symposium on Statistical Methods for Health Equity