Community Health Informatics Lab

The Community Health Informatics Lab focuses on the potential of information systems and services to improve the health and well-being of groups that experience disease-related health disparities. The lab investigates technology-enhanced disease prevention, management, care and support in everyday life contexts, as well as at the interface of clinical and community-based care. SI lead is Tiffany Veinot.

 

Computational Linguistics And Information Retrieval (CLAIR)

The CLAIR (Computational Linguistics And Information Retrieval) research group focuses on text analysis, natural language processing, information retrieval, and network analysis. SI lead is Dragomir Radev.

Michigan Data Sciences (MIDAS)

Over the last several years, the research community at the University of Michigan focused on mining large amounts of data (whether structured, semi-structured, textual, or multimedia) has grown significantly. MIDAS group members are interested in developing new data mining techniques and are now hosted in several units, including Computer Science and Engineering, Information, Statistics, Linguistics, and Mathematics, and also several domain units in the natural sciences, medical sciences, social sciences, and humanities, with faculty interested in the use of data mining techniques to advance science in their domain. SI lead is Dragomir Radev.

 

Michigan Interactive and Social Computing (MISC)

Michigan Interactive and Social Computing (MISC) connects researchers studying human-computer interaction, social computing, and computer-supported cooperative work across the University of Michigan.

 

Open Data

Funded by the National Science Foundation, Open Data allows fellows to engage in a vibrant set of research activities in the conduct of responsible data-intensive science and engineering involving faculty and PhD students from the School of Information, Computer Science and Engineering, Bioinformatics, Materials Science, and Chemical Engineering. Open Data is designed to build a new community of practice around open sharing and reuse of scientific data. SI lead is Margaret Hedstrom.
 

Social Wellness Interventions Research Group

Social Wellness Interventions Research group studies the integration of wellness applications with existing social network sites to create wellness interventions using social computing. SI leads are Mark Newman & Paul Resnick.

 

SocialWorlds Research Group

The SocialWorlds research group focuses on collaborative technologies (including computer-supported cooperative work and social computing) and increasingly pervasive computing. SI lead is Mark Ackerman.

 

STIET

Funded by the National Science Foundation, STIET is a multidisciplinary PhD training program. STIET addresses the changes in communications and computing technology, and the uses and requirements people have for these technologies. The research focus is on the use of incentive-centered-design (ICD) to deliver new and improved systems for human use of the Internet. SI lead is Yan Chen.

 

USE Lab

The USE Lab is a community of scholars whose shared goal is to investigate how instructional technologies and digital media are used to innovate teaching, learning, and collaboration. Members of the lab come from several programs at Michigan, including information, education, psychology, survey research, and the professional schools (e.g., medical education). SI lead is Stephanie Teasley.