Abstract
Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.
Original language | English |
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Pages (from-to) | 1769-1775 |
Number of pages | 7 |
Journal | Neuron |
Volume | 109 |
Issue number | 11 |
Early online date | 30 Apr 2021 |
DOIs | |
Publication status | Published - 2 Jun 2021 |
Bibliographical note
Funding Information:The present manuscript is part of a growing community effort to collate Brainhack-related insights and expertise into a Jupyter Book ( http://brainhack.org/brainhack_jupyter_book/ ) that will serve as a centralized set of resources for the community; we acknowledge all the individuals who contributed and will make ongoing contributions to these resources. A pre-print version of the present manuscript is available as part of the Jupyter Book. Moreover, we would like to acknowledge all Brainhack organizers, supporters, presenters, and participants for their contribution to growing and maintaining this community. The benefits described in this manuscript would not be possible without them. We also thank all institutions, labs, and organizations who have helped this community grow, meet in stimulating environments, and add an excellent educational resource pool and agenda. With an expanding community, Brainhack’s support network keeps growing, and we thank all labs and individual researchers for their dedication and expertise offered to this community (see http://brainhack.org/brainhack_jupyter_book/acknowledgments.html for a full list of individual acknowledgments; an updated list will be maintained in the Jupyter Book). Grants and funding bodies: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 867458 awarded to Julia M. Huntenburg; from ANR-19-DATA-0025 NeuroWebLab for Katja Heuer, Roberto Toro, and Nicholas Traut; and from NIH K00MH122372 for Stephanie Noble. The Brainhack Community member list and contributions of the different authors are detailed at http://brainhack.org/brainhack_jupyter_book/contributors.html . Our crediting system is described here: http://brainhack.org/brainhack_jupyter_book/neuroview_authorship-agreement.html .
Data Availability Statement
Supplemental information can be found online at https://doi.org/10.1016/j.neuron.2021.04.001.Keywords
- best practices
- Brainhack
- collaboration
- community building
- hackathon
- inclusivity
- neuroscience
- open science
- reproducibility
- training