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Summary:
I am one of the Editors-in-Chief of the Transactions on Machine Learning Research (TMLR). I reached out to authors of 10 paper submissions to TMLR, originally slated for desk rejection, asking for a meeting to discuss their paper. The author-attendees of the meetings included undergraduate students, master’s students, PhD students, faculty, and independent researchers. Most, but not all, of these papers were solo authored.
Of the ten submissions:
  • Authors of one paper withdrew their submission.
  • Authors of one paper said they were unavailable due to other commitments.
  • Authors of one paper scheduled a meeting but did not show up.
  • Authors of three papers were unable to answer basic questions about the paper.
  • Authors of three papers answered questions about high-level ideas in the paper but had difficulty when asked further questions on technical details.
  • Authors of one paper answered all of my questions (although I identified a major flaw in that paper).

As a referee, I often complain about the crap sent my way for review. This testimony illustrates the shit editors increasingly have to deal with. I was recently contacted again to act as a guest editor. I struggle to see any reason to accept and I'm less and less likely to even consider it.

I'm afraid to see statistics on the country of origin of the authors behind this type of papers. It's increasingly hard to compete in academia if you're not from a tier 0 country.

Traditional publishing is BROKEN

Open source collaborative model of research now

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Yap, keep getting back to that one. Any specific platform you recommend?

Tenure is on the horizon here, likely sometime next year. I'll be in a position to actually be able to consider this it seems.

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Congrats and hope you get it. Well deserved after a long journey it seems.

For Econ I think github is good enough for what we do. The bigger questions are surrounding proprietary or privacy-sensitive data, and sharing of extremely large datasets. Not as sure how to answer that. Code and methodology are easy enough to collaborate in with git.

In econ, I think a model of open source code/methodology, potentially closed access to the raw data, is the best we can hope for in near term

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Thanks. It all seems to happen very suddenly now. Nothing for years, and then suddenly both a tenure track and tenure position have been materializing in the last few months.
Made some drastic decisions that are luckily paying off.

Sounds like an interesting approach. Wonder who will be leading this revolution in the publication landscape. For better or worse, Europe has been forcing their members to publish all their papers in open access journals now when one is funded by public money. But then, one has to find the funds to pay for the APC, so it's not a silver bullet either.

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It’s the last straw that AI does the work for them and they don’t even know what it’s about.

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Being an editor is interesting work; it requires a vast breadth of knowledge.

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10 sats \ 0 replies \ @WaxLuw 18 Sep -30 sats

AI can write a paper, but not being able to explain your own work is a whole different problem. That’s pretty concerning for research.