A multidisciplinary team led by UMBC COEIT researchers was awarded $3.8M from DARPA's SciFy: Scientific Feasibility program to explore new computational methods for assessing the feasibility of scientific claims. The team is led by CSEE Professor Frank Ferraro and includes UMBC faculty Tejas Gokhale (CSEE) and Tyler Josephson (CBEE), as well as colleagues from Stony Brook University, the University of Texas at Austin, and the University of Cambridge.
The key problem to be addressed is developing a process that can break down claims in a given scientific domain into their constituent components that can then be assessed. During the 32 month program, the researchers will develop and test their tools on three leading areas of scientific research: materials science, AI, and quantum computing. These domains were chosen to represent a progression in scientific complexity.
Read more about this new research award here.
