About | DSxHE

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 ("DSxHE") is a global community that brings together experts and enthusiasts working at the intersection of data science and health inequalities to ensure that the latest research and innovations improve health equity.

The community does this by:

Defining a shared space to bring together 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 comprises:

Academics (working in fairness/ethics, statistics/machine learning and public health/health inequalities)
Public sector workers and policy-makers, generating evidence to inform action and evaluate the impact on health inequalities and seeking to adopt 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