Cheng Soon Ong
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ml4x.bsky.social
Cheng Soon Ong
@ml4x.bsky.social
Curious.
Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science
I choose #OpenSource and #OpenScience .
Solving problems in #LifeScience #Genomics #RadioAstronomy

Read Mathematics for Machine Learning at https://mml-book.com
Reposted by Cheng Soon Ong
You can find it here: www.jmlr.org/history.html
Journal of Machine Learning Research
www.jmlr.org
November 5, 2025 at 7:36 AM
Reposted by Cheng Soon Ong
The JMLR story and operating model should be widely known in academia as a clear success story for full open access. I have friends in the humanities and pure sciences that have no clue this is even possible
November 5, 2025 at 1:16 AM
My opinion is that if you wanted to start a publication today, build on existing tooling, for example as an overlay journal, or using version control community hubs.
https://oad.simmons.edu/oadwiki/Overlay_Journals
November 5, 2025 at 12:22 PM
This nicely written story with a great reveal in the middle is a good summary of the discussion about costs of publishing. There is no reason for articles to be expensive, other than profit to the publisher.

https://archive.blogs.harvard.edu/pamphlet/2012/03/06/an-efficient-journal/
November 5, 2025 at 12:16 PM