CISE - IIS - About
The Division of Information and Intelligent Systems (IIS) studies the inter-related roles of people, computers, and information. The division supports research in human-computer interaction, data science, and artificial intelligence. IIS includes three core programs, Human-Centered Computing (HCC), Information Integration and Informatics (III), and Robust Intelligence (RI). The division also contributes to many interdisciplinary crosscutting programs.
Human-Centered Computing (HCC) supports research in human-computer interaction (HCI), taken broadly, integrating knowledge across disciplines—such as the social and behavioral sciences with computer and information sciences—in order to design new computing systems to amplify diverse humans’ physical, cognitive, and social capabilities to accomplish individual and collective goals; to assess benefits, effects, and risks of computing systems; and to understand how human, technical, and contextual aspects of systems interact to shape those effects. Areas within HCC include human-technology interfaces; computer graphics; computing for creativity; computer-mediated communication and collaboration; assistive and adaptive technology; social impacts of computing; and design.
Information Integration and Informatics (III) supports innovative research on computational methods for the full data lifecycle, from collection through archiving and knowledge discovery, to maximize the utility of information resources to science and engineering and broadly to society. III projects range from formal theoretical research to those that advance data-intensive applications of scientific, engineering, or societal importance. Areas within III include general methods for data acquisition, exploration, analysis, and explanation; advanced analytics; data management; and knowledge bases.
Robust Intelligence (RI) encompasses foundational computational research needed to understand and develop systems that can sense, learn, reason, communicate, and act in the world; exhibit flexibility, resourcefulness, creativity, real-time responsiveness and long-term reflection; use a variety of representation or reasoning approaches; and demonstrate competence in complex environments and social contexts. Areas within RI include artificial intelligence; machine learning; computer vision; human language technologies; and computational neuroscience.