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🎥 Statistical Methods for Health Equity Webinar: Brandon Dominique (Northeastern University)🎥
The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community, the Alan Turing Institute Health Equity Interest Group, and the Department of Statistical Science at University College London. --- We are excited to present the next instalment of our webinar series with speaker Brandon Dominique - (Northeastern University) Title: Post-Hoc Methods for Detecting and Correcting Subgroup Bias in Medical AI Syste
Apr 13
From Data Gaps to Data Diversity: what we heard at the Data-Driven Cancer Research Conference
Last month at Cancer Research UK’s Data-Driven Cancer Research Conference in Edinburgh, the DSxHE Data Diversity Theme led two engaging roundtables on From Data Gaps to Data Diversity in Cancer Research . Facilitated by Toral Gathani, Charlotte Misseldine and Mathew Tata, the roundtables brought together a wide range perspectives from across the cancer research ecosystem. Working across the different stages of the research lifecycle, groups explored what inclusive research l
Mar 17
🎥 Statistical Methods for Health Equity Webinar: Emma Stanley (Imperial College London)🎥
We were delighted to host Emma Stanley (Imperial College London) , for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Topic: Connecting Algorithmic Fairness and Fair Outcomes in a Sociotechnical Simulation Case Study of AI-Assisted Healthcare Abstract Although there is a growing interest in the fairness of AI systems for healthcare, most of the current research focuses solely on evaluating and mitigating subgroup p
Mar 17
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