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Dr. Greg Zacharias, President and Senior Principal Scientist at Charles River Analytics, guides research in cognitive systems engineering and computational intelligence to support the development of human behavior agents for a broad range of systems applications, as well as the design, implementation, and evaluation of agent-based decision support systems. Before founding Charles River, Dr. Zacharias was a Senior Scientist at BBN Technologies, a Research Engineer at C.S. Draper Labs, and an Air Force attaché for the Space Shuttle program at NASA Johnson Space Center. Dr.

Sara Kiesler is Hillman Professor of Computer Science and Human-Computer Interaction at Carnegie Mellon University. She studies communication, cognitive, and social aspects of computer-mediated environments and human computer interaction. Her current research focuses on collaboration in teams, online communities, and human-robot interaction.

Following an unsuccessful career as a classical guitarist, Warren Thorngate received his BA in Psychology and Mathematics from the University of California, Santa Barbara, then fled to Canada to obtain two more psychology degrees at the University of British Columbia, specializing in the study of human decision making and social behavior.

Amy Bruckman is an Assistant Professor in the College of Computing at the Georgia Institute of Technology. She and her students in the Electronic Learning Communities (ELC) research group do research on online communities and education. Current projects include MOOSE Crossing (a text-based virtual world for kids), AquaMOOSE 3D (a graphical world designed to help teenagers learn about the behavior of mathematical functions, research supported by an NSF CAREER award), and Palaver Tree Online (in which students learn about history by interviewing elders who lived it).

Dennis Galletta is Past President of the Association for Information Systems (AIS), is an AIS Fellow, and is Professor of Business Administration at the Katz Graduate School of Business, University of Pittsburgh, where he has been since 1985. He obtained his doctorate in 1985 at the University of Minnesota (major advisor: Gordon B. Davis) with a major in management information systems and a minor in psychology. He teaches Human-Computer Interaction to PhD students and Information Systems to MBA students and executives.

Dr. Alessio Malizia. Degree in Computer Science and Ph.D. in Computer Science from University “La Sapienza” of Rome, Italy (Thesis title: a Cooperative-Relational Approach to Digital Library Environments). He is currently with the DEI group holding a Associate Professor Position at the University Carlos III of Madrid. From February 2003 to February 2007, he was a Research Fellow at the Computer Science Department of the University of Rome “La Sapienza”, Italy. In the past his research activities focused on theory and algorithms for pattern recognition, machine learning and visualization.

David Karger (A.B. Harvard University '89, Ph.D. Stanford University '94) is a Professor in the Electrical Engineering and Computer Science department and member of the Computer Science and AI Laboratory at MIT. His early work was in Theoretical Computer Science, focusing on the use of randomization for efficient algorithms. He later explored computer systems and networking, with a focus on peer to peer networking and network coding.

I have an MS in Computer Science, a PhD in Cognitive Psychology, and experience teaching in an urban high school. This multidisciplinary background supports my research goals of understanding human learning and creating educational technologies that increase student achievement. I have developed computer models of student thinking and learning that are used to guide the design of educational materials, practices and technologies. These cognitive models provide the basis for an approach to educational technology called “Cognitive Tutors”.

Dr. Scott Davidoff manages the Human Interfaces group at the NASA Jet Propulsion Laboratory. His group develops the systems that scientists around the world use to plan the activities of every NASA space robot, from yesterday’s Voyager, to today’s Curiosity, and tomorrow’s future missions into deep space. His work draws upon the techniques of big data visualization, interaction, and Augmented Reality to develop detailed representations of spatio-temporal robotic plans. Dr.