DARPA selects teams to Improve how scientists build/sustain models, simulations


DARPA says it has selected multiple teams of researchers for the agency’s Automating Scientific Knowledge Extraction and Modeling (ASKEM) program.

ASKEM performers will use artificial intelligence (AI) approaches and tools to create, sustain, and enhance complex models and simulators, according to Darpa. ASKEM is a 42-month program divided into two phases of 21 months each.

  • In the first area, the following performers will develop technology to extract and link knowledge and models from diverse inputs such as publications, code, structured data, etc. — University of Wisconsin-Madison’s Morgridge Center for Public Service, ETH Zurich, Lum.ai, University of Arizona, SIFT, University of Utah, Massachusetts Institute of Technology (MIT).
  • In the second area, the following performers will develop approaches to compose/decompose, compare, and sustain models — University of Florida, University of Colorado Denver, Topos Institute, Harvard Medical School.
  • The following performers contracted for the third area will develop tools for creating complex model simulators, including multi-model workflows, validation, and inverse problems, such as calibration and causal inference: Julia Computing, MIT, University of Pittsburgh, Pacific Northwest National Laboratory, Basis, University of Texas at Austin.
  • Finally, the following performers will build a visual meta-modeling platform to bring these tools together into an integrated modeling and simulation workbench: Uncharted Software, Jataware.

ASKEM is a 42-month program divided into two phases of 21 months each.

[Image courtesy: Darpa]