Matthew Akamatsu: Collective grassroots knowledge generation with lab discourse graphs @ToposInstitute
Matthew Akamatsu: Collective grassroots knowledge generation with lab discourse graphs  @ToposInstitute
Uploaded December 2024 | Updated September 2026, 2 weeks ago
Topos Institute Colloquium, 5th of December 2024.
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Scientific research teams face persistent challenges in coordinating their work and synthesizing collective knowledge into models across projects and labs. Discourse graphs offer a solution by breaking scientific research into its atomic components - questions, claims, and evidence - and connecting them in a semantic graph. In our cell biology lab, we have implemented discourse graphs as a coordination layer for collective research and model building. Lab members use the graphs to identify open research questions, maintain focus on their chosen hypotheses while documenting new results, and share discrete findings with clear provenance and context. Researchers report streamlined thinking, better orientation toward their target question, and a sense of accomplishment from contributing tangible, reusable results. This collaborative approach has allowed the lab to organically evolve its scientific models through bottom-up knowledge synthesis. Our new user pilot aims to extend these benefits through accessible tooling and interoperable graphs, thereby enabling collective grassroots knowledge generation and sensemaking across research communities.
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Matthew Akamatsu: "Collective grassroots knowledge generation with lab discourse graphs"

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