Looking at the covid-19 hackathon and wondering if there would be an advantage of a dedicated social network for doctors and labs. Perhaps with possibility of making data publicly readable but not submittable. Thoughts?

This exists and is called ResearchGate. I'm not fond of it personally, but many seem to make good use of it.

> making data publicly readable but not submittable

I'm unclear what you mean by this.

Not the person who wrote that but I think read only feed of the conservation where random folks like myself could hear the conservation but not speak directly == "not submit comments". which would work fine for me. Any hypothesizes I generated should go through a vetting process where the idea generates own momentum so as not to waste their time if it ever showed up. a ... peer review process writ smaller and more distributed.

Yup, I couldn't have said it more eloquently.

My biggest issue with pursuing this is I have next to no breadth of knowledge in the medical or medical research fields. It would be hard for me to understand what would help doctors and research labs to share and distribute information, other than being more filterable and searchable than a facebook group.

This is a difficult problem. In trying to reduce the noise by choosing who gets to speak, you immediately encounter a number of issues related to gatekeeping. Moreover, filtering by source doesn't directly address what I see as the underlying problem of presenting relevant information to the user.

Competent and aggressive moderation seems to work fairly well for setting a standard of discourse without excluding anyone (HN is a good example here) but it's time consuming. And it doesn't do much of anything to address the problem of filtering for relevant information.

I think conversations themselves (ie actual back-and-forth with meaningful input from all sides) ultimately just don't scale well beyond a small group. Topic specific mailing lists seem to be the least-worst solution to date, and a Facebook group or subreddit is essentially the same thing implemented using a proprietary platform.

It seems like we still lack the models and tooling to address these problems on a fundamental level. Plenty of academic research exists surrounding knowledge graphs, ontologies, and relationships, but in practice all the mainstream tooling that "just works" is restricted to hierarchical folders (and tags if you're lucky). Zotero is very much a least-worst reference management solution in my opinion (I detailed my thoughts in an HN comment sometime within the past year if you're curious). On the literature front we have things like Arxiv Sanity Preserver and Semantic Scholar, but we're still proverbially drowning in new publications. Tools like Memex (https://github.com/WorldBrain/Memex) and Contextualise (https://github.com/brettkromkamp/contextualise) look promising, but aren't (yet?) a complete solution.