About the program: Learn cutting-edge data science and Artificial Intelligence (AI) methods for biomedical and healthcare research, ensure the rigor and reproducibility of your projects, and network with fellow attendees from around the country!

Supported by the National Institutes of Health, the Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) training program will be led by faculty and researchers from the University of Michigan, the College of William and Mary, Jackson State University, and University of Texas San Antonio; and cover the following:

- Ethical issues in biomedical data science
- Data management, representation, and sharing
- Rigorous analytical design
- The design and reporting of AI models
- Reproducible workflows
- Assessing findings across studies
- Transformer-based AI for biomedical research

Who should attend: university faculty members at any career level, and
research scientists (staff, advanced postdocs and PhD students).

Want to learn more? Join us for a virtual Q&A session! Members of the DAIR³ program team will be available to answer questions about the program, the application process, and more.

First session: Fri., Feb 2 @ 11:00 AM Eastern
Second session: Tues., Feb 6 @ 3:00 PM Eastern