Socially Intelligent Computing
Information technology innovations have changed the way people work, play, and live, creating richly interconnected worlds that demonstrate new forms of collaboration, communication, and emergent behavior that were not previously achievable by people or computers alone. Our successes pose a new set of challenges that arise from contemplating systems comprised integrally of both computers and people, an area that I call "socially intelligent computing." By socially intelligent computing I refer to diverse efforts that are increasing our ability to build computing systems that interact with people in socially intelligent ways, and that bring people and computing together to achieve outcomes that were previously beyond our individual capabilities or expectations. In this talk I will outline various threads that are advancing our knowledge of socially intelligent computing and directions that it may follow in the future.
Haym Hirsh is Professor of Computer Science at Rutgers University, and a Visiting Scholar at the Center for Collective Intelligence and Sloan School of Management at MIT. His research focuses on foundations and applications of machine learning, data mining, and information retrieval. Haym received his BS degree from the Mathematics and Computer Science Departments at UCLA and his MS and PhD from the Computer Science Department at Stanford University, and he has held visiting positions at Bar-Ilan University, CMU, NYU, and the University of Zurich. From 2006-2010 he served as Director of the Division of Information and Intelligent Systems at the National Science Foundation.