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From a software developer perspective: A github like service where every incremental research step is recorded&visible. A build management system like travis where each experiment is built and held accountable to unit tests. Something like github actions where you can trigger an automated lab trial instantly. Somehow opensource SW development communities have so much they can teach to medical researchers in terms of how to scale development.



This is what I'd like to see. There should be some kind of system where in-progress research being done by pharma companies can be published. This would reduce the massively redundant amount of studies (e.g. CRISPR screens, xenograft studies, etc.) and help scientists more quickly converge on the mechanistic underpinnings of disease and how best to address them therapeutically.

Obviously this can't work in the current pharma industry configuration; what financial incentive is there for big pharma companies to publish their results for another company to beat them to a new drug? I don't have a solution to this problem, but I hope someday we as a society can find one. This would absolutely revolutionize biopharmaceutical science.


I've thought about things like the patent/ip problem, the structure of biomedical research, Pharma research, etc. This is an area where I don't actually see competition as a net benefit, however....it's the reality. The only thing I can come up with is a version of 'data rental'. Rather than Pharma companies locking this data away from others indefinitely, is there a way they could profit from it somehow, while still retaining ownership and not divulging trade secrets? Maybe not.

I've thought that a type of cryptographic data commons based on multi-party communication [1] could possibly be deployed with some effect. Basically you need algorithms that can compute on encrypted data, and a way to securely communicate encrypted data. There might not be huge incentive to use something like this, but maybe a version of this idea could work.

[1] https://en.wikipedia.org/wiki/Secure_multi-party_computation


I agree that the system is just "reality" right now. I think the idea of a cryptographic data commons is an interesting idea, I'm just trying to imagine how it'd play out in my day-to-day research. If a system would tell me that my hypothesis is correct, but I couldn't look at (and share with colleagues) the raw data being computed, it'd be tough to believe that system. Maybe there's some type of zero-knowledge proof system that could facilitate this, though.

I only have a rudimentary understanding of blockchain technologies, but a system where pieces of a research puzzle are stored on chain and each user can claim ownership of those findings, a resultant drug's profits could be proportionally split by every entity which contributed to the research.

Another idea would be to completely socialize all biopharmaceutical research, but that type of system would require an extremely radical societal shift.


Yes, it's admittedly an incredibly tough problem (how do you get those competing to cooperate?), and how to compute on data that is trustworthy. Ultimately, in biotech/pharma you have to ultimately know what an underlying gene or say pathway actually is, it can't be totally obfuscated. Still not sure how to set this up (if it's really even possible) that solves for this use case.

> but a system where pieces of a research puzzle are stored on chain and each user can claim ownership of those findings, a resultant drug's profits could be proportionally split by every entity which contributed to the research.

I think ultimately this is how a research cooperative could work. If distributing and re-allocating fractional ownership is efficient enough, it seems like something like this might be feasible. The idea with multiparty communication (MPC) is that in this setup a research entity would contribute their data in an encrypted fashion, and any parties would be granted access to compute on it based on some set of rules/buy in etc.

This is a really difficult technical approach, as MPC is really only in it's infancy, made only to seem easy by the far more difficult and distant prospect of socializing medicine, which would seem to be of the greatest benefit.


Sage Bionetworks Synapse https://www.synapse.org/ was conceived as a github-based research collaboration ecosystem.




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