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Home > Research > Themes
Research: Cross-Cutting Themes
Research at the School of Information focuses on a set of "cross-cutting themes." These themes span traditional disciplinary boundaries and provide one map for navigating the rapidly developing information discipline.
Human-Information Interaction
Research in this area examines the behavior of people in the use of information embedded in systems, services, networks, and devices (information seeking, intermediation, information retrieval, design and evaluation of information systems and services, information visualization, and information use in various environments).
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Information for Re-Use
This area involves understanding and designing processes, policies, and systems, both social and technical, for the identification, selection, sharing, and re-use of information resources (such as archiving, preservation, knowledge representation, the Semantic Web, text summarization, metadata, classification, information architecture, and organizational memory).
More about Information for Re-Use
Technology-Mediated Collaboration
Researchers in this area study the use of communication and computing technology for interactions among collocated and dispersed people and resources, including social and technical factors, supportive tools, interfaces, and ways of organizing.
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Incentive-Centered Design
Researchers in this area are applying theories of rational choice, strategic games, and psychological and social motivation to technology-mediated coordination and information sharing (such as auctions, matchers and recommenders, and spam controllers).
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Information Use in Communities
This area involves understanding and supporting, particularly with contextual approaches, how information flows, information resources, and information technologies form, maintain, and serve geographic and cyber-communities and communities of practice.
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Models of Information in Use
Researchers in this area focus on formal treatments of information processes such as information theory, probabilistic models and stochastic processes, complex systems, and artificial intelligence methods, especially as related to real-life information problems.
More about Models of Information in Use
Home > Research > Themes
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"My 10 years of work experiences in a variety of institutions and roles, from a traditional librarian's job to a high-technology one, helped me develop integrated perspectives toward future library and information professionals."
Soo Young Rieh
Assistant Professor
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