research engine

30 Oct 2021 - 16 Dec 2022
Open in Logseq
    • What would a computational research engine look like?
    • Explicit goals and actions in a hierarchy
      • "cure cancer"
      • "find biomarkers for PD1 resistance"
      • 2022 science imperatives (Lisa B)
        • drive unique t cells into tumors
        • promote multi-antigen nresponses
        • understand tipping poin between anti0-tumor immunity and AE
        • understand the mechanism of agonistic CD40 treatment in humans
        • understand mechanism in solid tumors
          • so need to collect more tumors, systematically
    • Decision support
    • Adaptive Trials
    • Sounds like OKRs, for better or worse
    • obvious questions:
      • is scientific search formalizable?
      • Is it practically formalizable?
      • Is it cost effective to do so?
    • Refs
      • H.A. Simon, P. Langley, and G.L. Bradshaw, “Scientific Discovery as Problem Solving,” Synthese 47 (1981): 1-27; J. Shrager and P. Langley, Eds., Computational Models of Scientific Discovery and Theory Formation (San Mateo, CA: Morgan Kaufmann, 1990).