DATA 
SCIENCE
FOR
HEALTH
EQUITY

Recording of the launch of the Data Diversity Theme, a new initiative from Data Science for Health Equity (DSxHE) in partnership with Cancer Research UK. Don't want to miss out on any future Data Diversity theme activities? Stay up to date by joining the #theme-data-diversity channel on our Slack workspace .

We were delighted to host Jake Hightower, data science and global health innovator, for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Topic:   Preserving Health Equity in a Global Pandemic Model Abstract  In an era of increasingly complex global health threats, pandemic modelling must evolve to reflect not only the spread of disease but the lived realities of those most affected. This talk presents a ground-breaking

We were thrilled to host Dr. Briana Stephenson from the Harvard T.H. Chan School of Public Health in a past installment of our webinar series! Dr. Stephenson led a fascinating discussion on how mixture models can help uncover important patterns within underserved populations. She highlighted how traditional research methods often focus on majority subgroups, leaving smaller communities overlooked. In a diverse country like the United States, this "one-size-fits-all" approach

We’re excited to share the recording of DSxHE Mental Health Webinar  with Ciarán O'Driscoll , Associate Professor in Clinical Psychology at UCL, and Programme Director of the Clinical Associate in Psychology course. Ciarán’s work bridges the gap between clinical psychology and data science, and in this talk, he explores how data analytics  is transforming secondary care mental health services . Ciarán has extensive experience teaching mental health professionals and working w

We’re excited to share our DSxHE Mental Health Webinar  with Kim de Jong , Assistant Professor in Clinical Psychology at Leiden University , now live on YouTube! In this insightful talk, Kim dives into how routine outcome monitoring  and feedback  can help mental health professionals deliver better, data-informed care. Kim’s research focuses on personalizing treatment for individuals, examining why some patients respond better to certain therapies than others, and exploring h

In our latest DSxHE Mental Health Webinar, we had the honor of hosting Ellen Driessen, Assistant Professor in Clinical Psychology at Radboud University in the Netherlands. Ellen, a renowned researcher with numerous awards, including from the Dutch Government, shared her groundbreaking work on personalized treatment approaches for depression. As a clinical psychologist, Ellen’s research is centered on improving treatment for depression by focusing not just on the efficacy of t

This month we welcomed Dr. Nathan Blake to present his work at the Statistical Methods for Health Equity webinar series. Nathan has 12 years of experience as a nurse, predominantly in A&E, before completing a PhD in computational biology. His current work looks at applying causal reasoning for explaining the outputs of black-box AI models as applied to clinical problems. In this talk, Nathan explains the need for Explainable Artificial Intelligence (XAI) in the clinical setti

Catch up on the talk from Irving Amukasa for the Statistical Methods for Health Equity webinar series. Irving Amukasa is a Tech Entrepreneur, self-taught Android and AI developer, founder and CEO of Sophie Bot. Irving is a co-organizer of Android 254, an android developer group based in Kenya and previous organizer of droidcon.co.ke , the largest android focus developer conference in Africa. Irving is also a Windows Insider 4 Good fellow and MentorNations ambassador. Irving g

Catch up on the excellent talk from Dr Divya Shanmugam for the Statistical Methods for Health Equity webinar series. Dr Divya Shanmugam, recently completed her PhD at the Massachusetts Institute of Technology, working with Prof. John Guttag on best practices for developing and deploying machine learning models in the presence of unreliable data. Divya shared her fantastic work on how to characterize and mitigate the impact of imperfect data on machine learning models deployed

We are exited to share that this month Irene Chen from the University of California, Berkeley presented on our online webinar. She talked...

For our first webinar of 2024 we were delighted to welcome Professor Rohini Mathur from QMUL to discuss her work on big data insights and...

For our final Statistical Methods webinar of 2023, we welcomed Dr Wiebke Hutiri from Sony AI to discuss her work on design patterns as a...

Recently, we held another of our webinar and were delighted to welcome Dr Karandeep Singh from the University of Michigan to explore...

Recently, we held another of our webinar and were delighted to welcome Nyalleng Moorosi from the Distributed AI Research Institute (DAIR)...

Recently, we held our very first webinar of 2023 with Dr. Joshua Loftus from LSE. Thank you to all who managed to attend the webinar...

In January, we hosted a series of expert panels to explore the main challenges to statistical approaches for understanding and reducing...

In January, we hosted a series of expert panels to explore the main challenges to statistical approaches for improving fairness in...

Our last webinar of 2022 was a highly thought-provoking talk by Dr Alice Popejoy from UC Davis on “Mapping Human Population Diversity:...

DSxHE received one of the first opportunities to participate in a conference from the Royal Statistical Society (RSS). We held a highly...

It’s DSxHE’s first birthday, and instead of celebrating with a cake and a party, we decided to kick it up all a notch and introduce our...