About Us

Digital technology is now being used in all facets of healthcare, from research, to the doctor’s office, to the operating room and beyond. But how do we ensure that the entire healthcare system benefits from these advanced technologies, specifically so that all people, especially those in underserved populations, have the access and quality of care they deserve?

Data Science for Health Equity is an independent community that brings together experts, enthusiasts and hobbyists working at the intersection of data science and health inequalities to ensure that the latest research and innovations improve health equity.

We do this by:

  • Defining a shared space to bring together the disparate communities working to better understand and improve health inequalities

  • Providing a platform to share learnings, best practice and individual/institutional priorities

  • Curating the latest resources, funding, tools and research

  • Assimilating and generating new insights, tools or solutions from within the community's collective

Who are we?

Data Science for Health Equity is cross-sector and cross-discipline, open to anyone with an interest in data science, health equity, ethics and everything in-between. The community is made up of:

  • Academics (working in fairness/ethics, statistics/machine learning and public health/health inequalities)

  • Policy makers (both national and local) seeking to adopt and implement data-driven solutions

  • Private sector, particularly those developing products for clinical or public health environments

  • Funders looking to support projects and programs that enhance health equity through data science

  • Public media aiming to understand more of the challenges and inform the public debate around health inequalities

  • Third sector, particularly citizen voice bodies and justice advocacy groups

Team 

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Brieuc Lehmann

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Mei Sum Chan

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Matthew Chisambi

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Maxine Mackintosh

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Wale Adeosun

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Reham Al Tamime

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Ellen Coughlan