Data and AI Intensive Research with Rigor and Reproducibility (DAIR³)

The Data and AI Intensive Research with Rigor and Reproducibility (DAIR3) program includes weeklong bootcamps in the summer that focus on ethical issues in biomedical data science; data management, representation, and sharing; rigorous analytical design; the design and reporting of AI models; generative AI; reproducible workflow; and assessing findings across studies. Additionally, the bootcamp also includes grant writing sessions and research collaboration discussions.
The program has three components:

*CME credit is only available for the bootcamp


At the conclusion of this activity, participants will be able to:
- Design and implement a training program in their home institution that replicates the key elements of this research collaboration training program.
- Carry out better data- and AI-intensive research.

Applications for 2025 are now closed. Please check back in the fall for the 2026 application.
Develop the intellectual framework and technical skills to ensure the rigor and reproducibility of biomedical and healthcare research with cutting-edge data science and artificial intelligence (AI) methods.
Open to university faculty and research scientists.
Participation in the training program is free of charge. Scholarships are available.
To learn more about the program, visit the curriculum page.
For more information, visit our FAQ.
Session #1
Monday, May 12 – Saturday, May 17, 2025
Jackson State University – Jackson, MS
Session #2
Monday, June 16 – Saturday, June 21, 2025
University Texas San Antonio – San Antonio, TX
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the University of Michigan Medical School and the [organization name(s)]. The University of Michigan Medical School is accredited by the ACCME to provide continuing medical education for physicians. The University of Michigan Medical School designates this live activity for a maximum of 34 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.