Health Data Science

About this Community of Practice

The Health Data Science Community of Practice focuses is on computing systems and approaches, data security technology, and analytic drivers to advance research on health data. Examples of foci areas include secure virtual computing platforms for advancing machine learning capabilities and analysis on protected health information (PHI) data.

Reasons to join the group include:

• Learning the challenges and opportunities in systems engineering and applied data sciences on health data;
• Design, develop and use scalable and powerful computing systems that allow for data integration, analysis and sharing of protected data;
• Discuss models and systems for advancing research computing and data sharing in health informatics;
• Access DataLab and other health and research computational resources;
• Connect with and receive advice from diverse peers across UC Davis and UC Davis Health campuses;
• Open source and reproducible data enthusiasts and health-hackers welcome.

Membership

Membership is open all members of the UC Davis Health and UC Davis communities.

Meet-ups and Events

This community of practice serves as a hub for the community with bi-weekly meetings, short lectures and thematic discussion groups, and a home for the interdisciplinary scholars in computer science, health informatics, and data science to develop next-generation systems for health data science research.

• This community of practice is currently inactive. No scheduled meetups.

Mailing List

You can add and manage your subscriptions via the Sympa mailing list manager or by sending an email using the instructions below.