Welcome to the 2023
Health Equity DataJam

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This data-driven sprint is a call-to-action for the public to transform HHS data into digital tools, insights, and innovation for real-world impact. Join us! Learn more and submit a solution at AcademyHealth.org.


DataJam Registration and FAQ Page

 
Challenge

How can we transform HHS data into actionable insights and digital tools to help bridge disparities of health, including those exacerbated by the COVID-19 pandemic, Long COVID, and infection-associated chronic illnesses to ensure equitable access and wellness for all? 

2023 Health Equity DataJam Deadline Extended

Take advantage of the extra time and submit your solution by Monday, May 15 at 5:00 p.m. ET.
Missed the deadline? Now's your chance! We heard from our community that they would like additional time to develop the best submissions possible, so we have decided to extend the Health Equity DataJam submission deadline by two weeks. Submissions are now due Monday, May 15 at 5:00 p.m. ET. Don't miss out on this opportunity!
 
Participants of the Health Equity DatJam will transform raw data into actionable insights and digital tools to bridge disparities of health, including those exacerbated by barriers to care, Long COVID, cancer, infection-associated chronic illnesses and kidney and Lyme diseases, to ensure equitable access and wellness for all.
 
Looking for inspiration? Check out the 2022 Health Equity DataJam winners and honorable mentions.

Curated Datasets

Explore health equity topics and discover issue-specific data recommended by government experts and test-driven by teams working to solve the nation’s biggest challenges. For the 2023 Health Equity DataJam, datasets are curated by six themes. 
The Social Determinants and Health Equity Resource Guide includes additional datasets and information, more broadly applicable to all topics. 

Themes

Each tile below features a theme that fits within the Health Equity DataJam. The tiles summarize a challenge's themes and their importance, along with potential ideas and resources for data scientists, designers, innovators, and problem solvers to explore.