Embedded Files
Janet Johnson is a mixed-methods researcher and Postdoctoral Fellow in the School of Information at the University of Michigan. She received her Ph.D. in Computer Science from the University of California, San Diego. Janet's research focuses on designing and evaluating collaborative systems that leverage the spatial capabilities of Extended Reality (XR) and the generative capacities of Artificial Intelligence (AI) to enhance our collective potential. She also serves as an advisor for the X Reality Safety Intelligence (XRSI).
Steven Rick is a Postdoctoral Research Associate in the Center for Collective Intelligence in the Sloan School of Management at the Massachusetts Institute of Technology. He received his Ph.D. in Computer Science from the University of California, San Diego. As a human-centered design researcher, Steven focuses on how to leverage collective intelligence to design teams of humans and computers that leverage the strengths of each participant to the benefit of the group. Steven has published work in venues such as CHI, IUI, UbiComp, and Collective Intelligence.
Jens Emil Grønbæk is an Assistant Professor at Aarhus University, Denmark. He received his Ph.D. from Aarhus University supported by Microsoft Research. His current research explores proxemics and flexible interfaces for distributed team collaboration, with the invention of new adaptive interfaces for video conferencing, telepresence, and mixed reality collaboration. Jens Emil has several publications at CHI, UIST, DIS and ISS, and regularly serves as an AC for CHI.
Emily Wong is a Student at The University of Sydney and Research Fellow at The University of Melbourne. Her research focuses on distributed collaboration in mixed reality and she has published work in this area at both CHI and DIS. Beyond her role in academia, Emily has over seven years of industry experience working in human-centred design. Her experience includes designing and facilitating collaborative workshops for government and commercial organisations.
Ming Yin is an Assistant Professor in the Department of Computer Science, Purdue University. She works on examining how to better utilize the wisdom of crowd to enhance machine intelligence, and how to better design intelligent systems that people can understand, trust and engage with effectively. Ming obtained her Ph.D. from Harvard University. Prior to Purdue, Ming spent a year at Microsoft Research New York City as a postdoctoral researcher.
Michael Nebeling is an Associate Professor at the University of Michigan School of Information, where he directs the Information Interaction Lab. His research explores how XR technologies can enhance education, collaboration, and accessibility, with a focus on integrating augmented reality (AR) and artificial intelligence (AI) to improve usability, security, and privacy in user interactions. Prior to Michigan, Michael was a postdoc at the Human-Computer Interaction Institute at Carnegie Mellon University and completed a Ph.D. from ETH Zurich. He also previously spent a sabbatical at Meta's Reality Labs Research.
Mark Klein is an Professor at the School of Collective Intelligence at the University Mohammed VI Polytechnic and Research Scientist with the MIT Center for Collective Intelligence. He develops technology that helps large numbers of people work together more effectively to solve difficult real-world challenges. Mark has a Ph.D. in Artificial Intelligence from the University of Illinois, and has previously held research and teaching positions at Hitachi, Boeing, Pennsylvania State University, the University of Zurich, the Nagoya Institute of Technology, and, for 27 years, as a research scientist with the Center for Collective Intelligence in the Massachusetts Institute of Technology.
Mark Ackerman is the George Herbert Mead Collegiate Professor of Human-Computer Interaction and a Professor in the School of Information and in the Department of Electrical Engineering and Computer Science at the University of Michigan. His major research area is Human-Computer Interaction (HCI), primarily Computer-Supported Cooperative Work (CSCW). He has published widely in HCI and CSCW, investigating expertise sharing (including misinformation), collaborative information access, online knowledge communities, medical settings, and most recently, pervasive environments. Mark is a member of the CHI Academy (HCI Fellow) and an ACM Fellow.
Thomas W. Malone is the Patrick J. McGovern (1959) Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence. At MIT, he is also a Professor of Information Technology and a Professor of Work and Organizational Studies. Previously, he was the founder and director of the MIT Center for Coordination Science and one of the two founding codirectors of the MIT Initiative on Inventing the Organizations of the 21st Century.
Page updated
Google Sites
Report abuse