The Nexus of Open Science: FAIR Data, Software, and Resources Bridging Data Science and AI to Clinical Research

Description

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 artificial-intelligence 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

Invited speakers:

• Russell Alan Poldrack (Stanford, OpenNeuro)
• Steffen Bollmann (Univ. of Queensland, Neurodesk)
• Juan Eugenio Iglesias (Harvard/MGH, Synth-FreeSurfer)
• James C. Gee (UPenn, ANTs ITK)
• Susanna Assunta Sansone (Univ. of Oxford, e-Research Center)
• Sergey Plis (Georgia State, BrainChop)
• Sai Praneeth Karimireddy (USC, MONAI)
• Rebecca Li (Harvard Medical School, Vivli)
• Susan Gregurick (NIH Associate Director for Data Science)
• Lyric Jorgenson (NIH Associate Director for Science Policy)
• Ishwar Chandramouliswaran (NIH Office of Data Science Strategy)
• Michael I. Miller (Johns Hopkins Department of Biomedical Engineering director, MRICloud)
• Georg Oeltzschner (Johns Hopkins School of Medicine, Osprey)
• Dave Fearon (Johns Hopkins Data Services)
• Andreia V. Faria (Johns Hopkins School of Medicine, ADS, StrokeFAIR)