This one-day symposium will convene leaders in neuroscience, clinical research, biomedical engineering, and data science to explore strategies for advancing open and equitable science. The program will highlight:
- FAIR (Findable, Accessible, Interoperable, Reusable) data and software practices
- Accessible AI tools for clinical neuroimaging and biomedical applications
- Policy perspectives on responsible data sharing and funding frameworks
- Opportunities to strengthen reproducibility, broaden access to resources, and bridge advanced technologies with real-world clinical research
We expect 200–250 participants, primarily neuroscience and clinical scientists, along with biomedical and computer engineers, all with a strong interest in open science, data infrastructure, and collaborative innovation.
