Robbie Ward is a postdoctoral scholar at the University of Chicago's Knowledge Lab, working across artificial intelligence, computational social science, and the science of science. His research asks how people, communities, and machines discover what is worth pursuing when neither the destination nor the objective is fully specified in advance. He has studied scientific collaboration, interdisciplinarity, and innovation, and how communities decide which questions matter and where to look next.
His current work brings that problem into AI along three lines. The first is open-ended prediction: systems that explore branching futures in science and technology, trace their dependencies, and turn them into testable predictions. The second is taste: how AI can learn what particular people and communities find promising, surprising, or rigorous, and use those judgments to guide further exploration. The third treats organizations, human and artificial, as open-ended prediction machines, and asks how the way a collective is organized shapes what it can anticipate and discover.
Ward received his Ph.D. in Public Policy from Georgia Tech, following earlier training in molecular genetics and public administration at Ohio State. He has held visiting research positions at Stanford University and Université Paris Cité.