Prashant Doshi, an associate professor of computer science in the Franklin College of Arts and Sciences, received $150,153 from the National Science Foundation to explore algorithms for use in an advanced form of economic games with real-world applications. The games involve different players who must make decisions based on whether it will be beneficial to their company, but they do not know what decisions other players have made. The algorithms Doshi is developing ideally will move all players toward a state of equilibrium in which their profits are high and their business decisions can be made with confidence without knowing what their competitors are doing. His grant is part of NSF’s Early-concept Grants for Exploratory Research, or EAGER, program, which supports exploratory work in its early stages on untested, but potentially transformative research ideas and approaches.