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Johns Hopkins UniversityEst. 1876

America’s First Research University

The Nexus of Open Science

Nov 14, 2025
8am - 8pm EST
Room 820-826, 8th floor (also online), Hopkins Bloomberg Center Hopkins Bloomberg Center
Registration is required
This event is free

Who can attend?

  • Faculty
  • Staff
  • Students

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

The audience will primarily comprise neuroscience and clinical scientists, along with biomedical and computer engineers, all with a strong interest in open science, data infrastructure, and collaborative innovation.

This is a hybrid event; to attend virtually, use the Zoom link (Meeting ID: 983 9275 0406 | Passcode: 157608).

Invited speakers:

  • Russell Alan Poldrack (Stanford, OpenNeuro)
  • Steffen Bollmann (University of Queensland, Neurodesk)
  • Juan Eugenio Iglesias (Harvard / Massachusetts General Hospital, Synth-FreeSurfer)
  • James C. Gee (Perelman School of Medicine, University of Pennsylvania, ANTs ITK)
  • Susanna Assunta Sansone (University of Oxford e-Research Center)
  • Sergey Plis (Georgia State, BrainChop)
  • Sai Praneeth Karimireddy (Viterbi School of Engineering, University of Southern California, MONAI)
  • Rebecca Li (Harvard Medical School, Vivli)
  • Maryam Zaringhalam (Center for Open Science / OSF)
  • Michael I. Miller (Johns Hopkins Department of Biomedical Engineering, MRICloud)
  • Georg Oeltzschner (Johns Hopkins, Osprey)
  • Dave Fearon (Johns Hopkins Data Services)
  • Andreia Faria (Johns Hopkins; MRICloud, ADS, StrokeFAIR)

Who can attend?

  • Faculty
  • Staff
  • Students