Metascience
I'm interested in reforming the way that science is done, in particular making it more open and collaborative. To that end, I have been involved in the following initiatives:
- I co-founded Neuromatch and SNUFA, two non-profit organisations that enable low or zero cost access to parts of the scientific process that are often too expensive for outsiders, such as conferences and summer schools.
- I made the complete notes and videos for my computational neuroscience course Neuroscience for machine learners freely available online.
- I write a blog with articles on science reform called Zavarka. I have also written editorials on how to improve the way we do science for The Transmitter.
- I withdrew all my voluntary labour from scientific publishers that use pre-publication peer review. See my statement on peer review here.
- I am trying to create a democratic and decentralised alternative to scientific publishing with Scholar Nexus.
- I ran an open collaborative computational neuroscience project COMOB Sound Localization which resulted in a paper (Ghosh et al. 2025). We may run this again in future under the COMOB name.
- I maintain a short list of free and open resources for learning computational neuroscience.
Related organisations
Related software
Related videos
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Brain Inspired interviewInterview / 2024
Dan Goodman interview on Brain Inspired podcast -
The end of standard peer reviewTalk / 2023
Talk on problems and solutions with peer review given at Metascience 2023 symposium -
How to build a better scienceTalk / 2022
MRI Together talk on reform of academic institutions and publications
Related publications
2025
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Ghosh M, et al. (2025)
Spiking neural network models of interaural time difference extraction via a massively collaborative process.
eNeuro -
Goodman D (2025)
Neuroscience needs to empower early-career researchers, not fund moon shots.
The Transmitter
2021
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Achakulvisut T, et al. (2021)
Towards democratizing and automating online conferences: lessons from the Neuromatch conferences.
Trends in Cognitive Sciences
2020
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Achakulvisut T, Ruangrong T, Acuna DE, Wyble B, Goodman D, Kording K (2020)
neuromatch: Algorithms to match scientists.
eLife Labs -
Achakulvisut T, et al. (2020)
Point of View: Improving on legacy conferences by moving online.
eLife