About me

Kevin Crowston

Distinguished Professor of Information Science,
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.

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 For more information, please consult his vitae and (somewhat out of date) research statement (both in PDF).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 most recently a PI on an NSF HCC project: "Intelligent support for non-experts to navigate large information spaces" (21-06865) and PI on an NSF FW-HTF grant, "The Future of News Work: Human-Technology Collaboration of Journalistic Research and Narrative Discovery" (21-29047). 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

Extended call for papers for a special issue of Information, Technology & People on The Futures of Work in the Age of Intelligent Machines (new due date: 15 January 2023)

Papers are invited for a special issue of the journal to highlight research that addresses current and expected futures of work as computer systems with enhanced capacity to reason, aka intelligent machines, take on more and more tasks.

I'm on sabbatical!

This fall I am on sabbatical. I'll be spending some time at University of Zürich.

Project archetypes: A blessing and a curse for AI development

Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark.

Collaborative Research: HCC: Medium: Intelligent support for non-experts to navigate large information spaces

Apparently we never posted the news of our latest Gravity Spy NSF award, HCC 21-06865, Collaborative Research: HCC: Medium: Intelligent support for non-experts to navigate large information spaces, which was awarded in October 2021. This is a joint project with Kevin Crowston and Carsten Østerlund (Syracuse), Corey Jackson (Wisconsin), Aggelos Katsaggelos, Vassiliki Kalogera, Christopher Berry and Scott Coughlin (Northwestern), and Marissa Walker (Christopher Newport).

Gravity Spy featured in New Scientist

Gravity Spy was just featured in New Scientist magazine. You can see the story .

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