COS Neuroinformatics Conference
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| COS Neuroinformatics Conference | |
|---|---|
| Name | COS Neuroinformatics Conference |
| Status | Active |
| Genre | Scientific conference |
| Frequency | Annual |
| Location | Varies |
| First | 2010s |
| Organizer | Center for Open Science |
COS Neuroinformatics Conference is an annual meeting convened by the Center for Open Science that brings together researchers, engineers, and policymakers focused on neuroinformatics, neuroscience infrastructure, and open science practices. The conference emphasises reproducibility, data sharing, and computational methods across neurobiology, cognitive neuroscience, and clinical neuroscience, attracting delegates from universities, national laboratories, and technology firms.
Overview
The conference assembles participants from institutions such as National Institutes of Health, Howard Hughes Medical Institute, Allen Institute for Brain Science, Max Planck Society, European Molecular Biology Laboratory, and Wellcome Trust alongside representatives from University of California, Berkeley, Massachusetts Institute of Technology, Stanford University, Harvard University, and University College London. Speakers often include affiliates of Society for Neuroscience, International Neuroinformatics Coordinating Facility, Gatsby Charitable Foundation, Simons Foundation, National Science Foundation, and European Research Council. Topics intersect with work by groups at Cold Spring Harbor Laboratory, Salk Institute, McGovern Institute for Brain Research, Janelia Research Campus, and Broad Institute. Industry partners have included Google DeepMind, IBM Research, Microsoft Research, NVIDIA, Amazon Web Services, and IBM Watson Research Center.
History and Origins
The meeting grew from initiatives linked to the Center for Open Science, with historical roots overlapping efforts at Open Science Framework, Replication Crisis advocacy, and collaborations with projects such as Human Brain Project, BRAIN Initiative, Blue Brain Project, Human Connectome Project, and Allen Brain Atlas. Early iterations featured workshops co-organised with INCF, Neurodata Without Borders, OpenNeuro, DataONE, and FAIR Principles proponents, engaging contributors from European Bioinformatics Institute, Carnegie Mellon University, Yale University, and Columbia University. Founding program committees included members affiliated with Princeton University, University of Oxford, University of Cambridge, University of Toronto, and McGill University, reflecting transatlantic collaboration and support from funders like Kavli Foundation and Wellcome Trust.
Conference Structure and Programs
Programming typically comprises keynote lectures, plenary panels, hands-on workshops, poster sessions, and hackathons. Keynotes have been delivered by leaders connected to Victor Ambros, Edvard Moser, May-Britt Moser, Karl Deisseroth, Terry Sejnowski, Joshua Tenenbaum, and Christof Koch-affiliated labs, alongside program leads from NIH BRAIN Initiative, European Research Council, and Simons Foundation Autism Research Initiative. Workshops cover standards such as Neurodata Without Borders, toolchains like Nipype, BIDS, Docker (software), and platforms including OpenNeuro, GitHub, Zenodo, Dryad (repository), and Figshare. Hackathons have partnered with Neuronets Project, Brain Imaging Data Structure, Allen Institute, OpenAI, and Kaggle-style competitions; training sessions often reference curricula from Carnegie Mellon University and MIT OpenCourseWare.
Research Themes and Contributions
Research presented spans multimodal neuroimaging, electrophysiology, connectomics, computational modelling, machine learning applications, and translational neuroinformatics. Representative projects align with datasets and consortia such as Human Connectome Project, OpenNeuro, Neurodata Without Borders, UK Biobank, ADNI, and ENIGMA Consortium, and methodologies from Convolutional neural network, Graph theory (mathematics), Bayesian statistics, and Reinforcement learning. Contributions have influenced standards adoption like BIDS and software interoperability via integrations between FreeSurfer, FSL, AFNI, MNE-Python, scikit-learn, and PyTorch. The conference has showcased translational pipelines relevant to projects at Mayo Clinic, Johns Hopkins University, Mass General Brigham, Roche, and Pfizer.
Organization and Governance
The meeting is organised by the Center for Open Science with advisory input from boards drawing members from International Neuroinformatics Coordinating Facility, Society for Neuroscience, Neuroscience Information Framework, American Academy of Arts and Sciences, European Molecular Biology Organization, and leading academic departments at University of California, San Diego, University of Pennsylvania, Yale University, University of Washington, and University of Edinburgh. Funding and sponsorship have been provided by agencies and foundations including National Institutes of Health, National Science Foundation, Wellcome Trust, Simons Foundation, Kavli Foundation, and corporate partners such as Google, Microsoft, and Amazon Web Services. Governance documents and program committees often mirror practices from Open Science Framework and stakeholder consultations with ethics committees at institutions like Harvard Medical School and Stanford School of Medicine.
Participation and Community Impact
Attendees include principal investigators, postdoctoral researchers, data scientists, clinicians, software engineers, and policy advisors from organizations like NIH, FDA, European Medicines Agency, World Health Organization, and academic centers such as Columbia University Irving Medical Center, UCSF, Beth Israel Deaconess Medical Center, Imperial College London, and King's College London. The conference has catalysed collaborations resulting in open datasets shared via OpenNeuro, tool development hosted on GitHub, and community standards postulated with input from INCF and Neurodata Without Borders. Outreach initiatives have engaged students through partnerships with Society for Neuroscience chapters, summer schools associated with Cold Spring Harbor Laboratory and EMBL-EBI, and career panels featuring representatives from Google DeepMind, Facebook AI Research, NVIDIA, and DeepMind.