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ResearchHub Foundation
@ResearchHubF
Supporting @researchhub initiatives to accelerate scientific research with $RSC.
参加 October 2022
18 フォロー中    7.9K ファン
Science is splitting into two camps on AI: those looking to restrict it, and those looking to integrate it. We're in the second camp. Scientists spend months assembling grant applications that run hundreds of pages. We'd rather they spend that time doing science. 1⃣We find the best matched researchers for an RFP using in-house AI tools 2⃣Read their ORCID & published work 3⃣Auto-generate a preregistered proposal draft for the RFP on @ResearchHub 4⃣Send it along with an outreach message The science and the submission fully belong to the researcher. We want to lower activation energy, but not the bar.
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I asked Astra to look through my published science, identify new directions, and draft five NIH R01 proposals -- the multiyear, $1M-$2M grants that support much of academic biomedical science. In about one hour, using roughly $20 in compute, it produced entirely reasonable proposals. They were well grounded in my work and structured to appeal to study section reviewers. They looked very similar to what I would write if my goal were to get another grant. Astra reproduced that logic well. It turned existing work into questions, hypotheses, and experiments that would look familiar and defensible to a study section. The output was immediately recognizable as the work of an experienced academic scientist. If AGI means being able to produce the work of highly trained professionals, this is a clear concrete example. It produced something academic scientists spend a great deal of time doing. Academic medical centers build careers, laboratories, and their finances around this process. Scientists spend years writing these proposals as the next fundable extension of their work.
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