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Pretty compelling arguments.

I do think that the ML / CS / etc. community is actually more open than other academic fields, and so this is definitely the right subfield to start in. Putting open access preprints online is not common practice in all disciplines, although it really should be.

I wonder if it makes sense for Distill to also publish on fields outside of pure ML - e.g. as applied to specific problems in other domains. I work in materials informatics, and I suspect that research in such fields (ML + applied sciences) might benefit quite a bit from having key results 'distilled' in this format.




In the very long run, I'd like to see Distill or Distill-like journals cover all of math/cs/science.

But I think the right approach is to start with a narrow topic and do really well there. I guess startup people would say that we're focusing on a single vertical. :)

We haven't done very good line drawing for journal scope yet, and I'm not sure how we'll handle cross-disciplinary work.




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