DATA 
SCIENCE
FOR
HEALTH
EQUITY

Watch this recording of the second of two workshops on Methodological Challenges in Inclusive Research: Ethical, Practical, and Statistical Trade-offs

Watch this recording of the first of two workshops on Methodological Challenges in Inclusive Research: Ethical, Practical, and Statistical Trade-offs

Watch this recording of the latest instalment of our statistical methods webinar series with speaker Prof J. Sunil Rao (University of Minnesota), where he speaks about distorted variable analysis.

This event was co-hosted with Trial Forge. Major funders such as NIHR now mandate a consideration of inclusion as a condition of funding. Approval agencies such as the HRA and MHRA and encouraging applicants seeking approvals to submit Inclusion and diversity plans. But how do we make trials and health research more inclusive, and how should this be communicated to funders and approvals agencies? This webinar will consider how to design inclusive research, how to recruit and

This event was co-hosted with Our Future Health, the UK’s largest health research programme, which aims to bring together health and health-related information from millions of people to enable new discoveries about disease and health. We explored what can be learned and where Our Future Health is going next. With a particular focus on representation and equity, we’ll look at how different approaches to recruitment and participation have been developed, tested and evaluated,

This event was co-hosted with MESSAGE (Medical Science Sex and Gender Equity), a UK initiative working to improve the integration of sex and gender considerations across biomedical, health and care research. We’ll explore why sex and gender matter in health research and data science, with a particular focus on secondary data analysis and how these considerations can be more effectively embedded across the research life cycle. Please note, this recording has been edited and th

Watch this recording of a hands-on tutorial with Dr Ahwaz Akhtar (The George Washington University) on Distributional Cost-Effectiveness Analysis (DCEA) - a framework for bringing equity directly into health economic evaluation.

Watch this recording of a hands-on tutorial with Dr Carly Brantner (Duke University) on detecting, estimating, and interpreting how treatment effects vary from person to person.

We were thrilled to be joined by Kathy Harrison - Programme Lead, DataLoch, University of Edinburgh The recording is just the presentation part of the session - this was followed by discussion and Q&A which we did not record. DataLoch is a Safe Haven (otherwise known as a TRE or SDE) in Scotland, based in the new Usher Institute in Edinburgh. The DataLoch team research with access to primary and secondary care data. Kathy will share something about how the Scottish health dat

This event was co-hosted with READI (Research in Europe and Diversity Inclusion), a European initiative working to reshape clinical research towards greater representation and inclusion. We explored the challenges of recruiting diverse and representative populations into clinical trials across Europe, with a particular focus on process: what inclusive trial design looks like in practice, and what we can learn from ongoing efforts to embed it from the outset. The session inclu

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 Sharon Davis (Vanderbilt University Medical Center) Webinar Title: Supporting Responsible Deployment of AI in Healthcare with Sustai

This session sits within our Children & Families Theme which is focused on placing the child in the wider context of their family and environment, bringing together people passionate about using data science to better understand and address maternal, familial, and child health inequities. Expect space for knowledge sharing, thoughtful discussion, and community-building that connects researchers, clinicians, policymakers, and experts by experience, and amplifies diverse voices

This event was co-hosted with HDR UK, and explored the challenges in finding and accessing representative data and, crucially, how to overcome them. We hears about HDR UK’s work across data infrastructure, technology to improve access, and inclusion, with a particular focus on: The Health Data Research Gateway which is HDR UK’s online platform to help researchers find health datasets, The Cohort Discovery Tool to help researchers determine the size of the population relevant

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 Amanda Coston (UC Berkeley). Title: Evaluating Predictive Models Under Selection Bias and Covariate Shift Abstract: Understanding ho

This event was co-hosted with PEDRI and explored how researchers can take a more thoughtful and practical approach to improving diversity in their patient and public involvement and engagement (PPIE) work. The session focused on supporting researchers to make their PPIE work more inclusive by highlighting current best practice and addressing common challenges, such as how to engage meaningfully with diverse communities and avoid tokenistic approaches. It included practical ex

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

We were delighted to host Anna Palczewska, Rob Grout, and Frank Wood for the latest instalment of our monthly informal meetup - The DSxHE Download. Title: Predict, Prevent, Perform: Partnerships to Unlock the Power of AI & Analytics The recording is just the presentation part of the session - this was followed by discussion and Q&A which we did not record. In this presentation, we will be joined by colleagues from the Leeds Office of Data Analytics and Accenture who worked i

Here is the recording of our ECR-led webinar on why research on children and families matters and how inclusive, collaborative, and data-driven approaches can help advance health equity for children, young people, and families . Julia Shumway, UCL About Julia: Julia Shumway is a PhD student and research assistant at the University College London Great Ormond Street Institute of Child Health. The aim of her PhD is to understand the impact of placement in mainstream versus spe

We were delighted to host Carrie Alexander , for the latest instalment of our monthly informal meetup - The DSxHE Download. Title: AI Governance as a Knowledge Game The recording is just the presentation part of the session - this was followed by discussion and Q&A which we did not record. AI Ethics and Governance frameworks have proliferated in recent years, accompanied by criticism from hard law advocates who argue, for instance, that AI ethics frameworks are “useless” bec

We were delighted to host Claire Coffey - University of Cambridge, for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Topic: Are polygenic risk scores fair for cardiovascular disease risk prediction? Abstract: Polygenic risk scores (PRS) are increasingly proposed to enhance cardiovascular disease (CVD) risk prediction, particularly for individuals whose clinical risk estimates fall in intermediate ranges where treat