INITIAL PROGRAM AREAS

 

Area Leads

Health and Medical Informatics Bruce Schatz schatz@illinois.edu Med Info Sci IGB, MC-195
Design, Technology, and Society Karrie Karahalios kkarahal@illinois.edu Computer Science 3110 Siebel Center
Data Analytics and Information Visualization Douglas Simpson dgs@illinois.edu Stats 101 Illini Hall, MC-374
Bioinformatics Gustavo Caetano-Anolles gca@illinois.edu Crop Sci 332 NSRC, MC-635
  Sandra Rodriguez-Zas rodrgzzs@illinois.edu Ani Sci 30 ASL, MC-630
Art and Cultural Informatics Guy Garnett garnett@illinois.edu Music 3014 NCSA, MC-257
Cognitive Science and Language Processing John Hummel jehummel@illinois.edu Psych 605 E Daniel, MC 716
Spatial Informatics Shaowen Wang shaowen@illinois.edu Geography 265 CAB, MC-150

 

Bioinformatics

The field of bioinformatics encompasses a wide range of research efforts that aim at gaining insights into biological processes through the development and implementation of repositories and tools, and the computational and statistical analysis of biological information. Computational, informatics, statistical, and mathematical resources and technologies are integrated to organize, analyze, and visualize biological data at multiple levels of organization, from molecules and phenotypes to populations and ecosystems.
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Health and Medical Informatics

Medical informatics covers all aspects of understanding and promoting the effective organization, analysis, management, and use of information in health care. The emphasis in the informatics program is on health information technology, including information management for chronic care in homes, particularly development and deployment of personal health records, healthcare infrastructure, particularly population management of everyday chronic conditions, national healthcare infrastructure, such as development of portable health records.
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Spatial Informatics

Spatial Informatics represents an overarching umbrella for studying theories, methods, and applications of spatial analysis/modeling; and spatial data handling, management, and visualization, including data-intensive, large-scale, and/or multi-scale problems that involve the use and development of GIS (Geographic Information Systems). Examples include development of new theories, methods and software in GIScience (Geographic Information Science), policy and user issues of GIS, geospatial data accessibility, spatial decision support systems, geospatial problem solving environments, and novel applications of GIS such as in Business, Earth sciences, Environmental Science and Engineering, Epidemiology, Geography and Regional Science, Natural Resource Management, and Urban and Regional Planning.
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Art and Cultural Informatics

Art and Cultural Informatics embraces information as medium and content for art production, experience, and dissemination. Cultural Informatics encompasses all areas in which the application of new information technologies will and might impact human expressive culture, changing the practice, experience, and dissemination of the arts, and their role in culture and society.
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Design, Technology, and Society

Students in the Design, Technology, and Society Area investigate the interrelationship between information technology and social, political, and cultural processes and values. This includes both the analysis of the larger consequences of informatics systems and the criticism, design, and re-design of systems to address public needs and problems. This Area of will support students interested in pursuing informatics research from the intellectual traditions and methods of either the social sciences or the humanities, as well as the domains of community informatics and social informatics.
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Data Analytics and Information Visualization

Analytics and Visualization encompass data management, information retrieval, knowledge analysis, and conceptual understanding in the context of large-scale organizational systems. This Area will support technology-driven applications-oriented students in data mining, information retrieval, machine learning, information visualization, human-computer interaction, intelligent discovery environments, intelligent analysis systems, computational statistics, business analytics, and social and behavioral analytics.
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Cognitive Science and Language Processing

Cognitive Science and Language Processing is a multidisciplinary program for students with an interest in computational approaches to mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, and linguistics. The central hypothesis of cognitive science assumes that the mind has mental representations analogous to computer data structures, and computational procedures similar to computer algorithms. Our program also includes the inverse direction, using human cognition to improve computer processing within speech and language understanding systems.
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