Research related to semantic networks, formal logic, frame-based systems; and how the beliefs, intentions, and value judgments of an intelligent agent (AI) can be expressed in a transparent, symbolic notation suitable for automated reasoning

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Collaborative Research: Accelerating Synthetic Biology Discovery & Exploration through Knowledge Integration

Time frame: 2019-Present
Investigator: J. Stephen Downie
Total funding to date: $211,699.00
Funding agency: National Science Foundation

The scientific challenge for this project is to accelerate discovery and exploration of the synthetic biology design space. In particular, many parts used in synthetic biology come from or are initially tested in a simple bacteria, E. coli, but many potential applications in energy, agriculture, materials, and health require either different bacteria or higher level organisms (yeast for…

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NSF grant to accelerate synthetic biology discoveries

January 28 2020

A multi-institutional $1.2M grant from the National Science Foundation will accelerate discovery and exploration of the synthetic biology design space. Professor and Associate Dean for Research J. Stephen Downie serves as a principal investigator on the project, "Synthetic Biology Knowledge Systems," which brings together researchers from the University of Illinois; University of Utah; University of California, San Diego; Virginia Commonwealth University; Worcester Polytechnic Institute; and the non-partisan and objective research organization NORC at the University of Chicago.