About me

Kevin Crowston

Distinguished Professor of Information Science and Associate Dean for Research,
Syracuse University School of Information Studies

Picture of Kevin

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. He currently serves as Associate Dean for Research.

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 For more information, please consult his vitae and (somewhat out of date) research statement (both in PDF).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 is a co-PI on an NSF INSPIRE project: "INSPIRE: Teaming Citizen Science with Machine Learning to Deepen LIGO's View of the Cosmos" (15-47880) and PI on an NSF CHS project: "Supporting Stigmergic Coordination” (16-18444). With colleagues, he heads a Research Coordination Network to develop a socio-technical perspective on work in the age of intelligent machines.

He is co-editor-in-chief of the journal Information, Technology and People and editor-in-chief of ACM Transactions on Social Computing.

a word cloud of research: information, science, management

Planning to study automation and the future of news production

We (Kevin Crowston, Jeffrey Nickerson, Lydia Chilton and Keren Henderson) received an NSF Future of Work at the Human-Technology Frontier planning grant (20-26583), "Planning to study automation and the future of news production".

Looking for PhD students

I am looking for PhD students interested in working on research about the future of work with intelligent machines, as well as the work on the Gravity Spy citizen science project. Please email if you're interested and want to talk more.

Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers

Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.

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