About me

Kevin Crowston

Distinguished Professor of Information Science,
Syracuse University School of Information Studies

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Kevin Crowston is a Distinguished Professor of Information Science at the Syracuse University School of Information Studies (aka the iSchool). He received his A.B. (1984) in Applied Mathematics (Computer Science) from Harvard University and a Ph.D. (1991) in Information Technologies from the Sloan School of Management, Massachusetts Institute of Technology.

His research examines new ways of organizing made possible by the use of information technology. He approaches this issue in several ways: empirical studies of coordination-intensive processes in human organizations (especially virtual organization); theoretical characterizations of coordination problems and alternative methods for managing them; and design and empirical evaluation of systems to support people working together. For more information, please consult his vitae and now quite out-of-date Fall 2005 research statement (both in PDF). Specific domains of interest include free/libre open source software development projects, citizen science projects and research data management.

He was until recently a PI on 3 NSF sponsored projects: NSF SOCS Grant 09-68470 for "SOCS: Socially intelligent computing to support citizen science" (see here for details); NSF SOCS Grant 11-11107 for "SOCS: Socially intelligent computing for coding of qualitative data" (see here for details); and NSF SOCS Grant 12-11071 for "Collaborative Research: Focusing Attention to Improve the Performance of Citizen Science Systems: Beautiful Images and Perceptive Observers" (see here for details). He and Jian Qin recently were awarded a research challenge grant from ICPSR for the development and dissemination of a capability maturity model for research data management (see here for details).

Design of an Active Learning System with Human Correction for Content Analysis

Yan, J. L. S., McCracken N., & Crowston K. (2014).  Design of an Active Learning System with Human Correction for Content Analysis. Workshop on Interactive Language Learning, Visualization, and Interfaces, 52nd Annual Meeting of the Association for Computational Linguistics.
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