Socially Intelligent Computing

Socially intelligent computing explores how to solve problems by combining the best properties of humans, machines, and materials. We are currently conducting research on how these intersections apply to extreme high-tempo, time- and safety-critical events, like humanitarian crisis response work. Our initial work interrogates one of the leading challenges in the remote collaboration space: how do globally dispersed teams temporally coordinate to accomplish their work? 

Building on empirical and theoretical work in human-computer interaction (HCI), computer-supported cooperative work (CSCW), and designing interactive systems (DIS), our research engages in a wide variety of research methods, including digital ethnography, artifact analysis, computational social science, and participatory design of information and communication technologies (ICTs).


  • Marissa Kelley
  • Wendy Norris