Kevin Crowston is a Distinguished Professor of Information Science at the Syracuse UniversitySchool 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. Specific domains of interest include citizen science projects, data science teamwork and the future of journalism.
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 headed a Research Coordination Network to develop a socio-technical perspective on work in the age of intelligent machines.
I recently helped edit a special collection for the journal Citizen Science: Theory and Practice on the Future of Artificial Intelligence and Citizen Science. We recently had an onlline "conversation" about the collection and the topic that you can find on YouTube.
Our special collection on The Future of Artificial Intelligence and Citizen Science was just published in Citizen Science: Theory & Practice. Check it out here!
Our special issue on the Futures of Work in the Age of Intelligent Machines was just published in the journal Information, Technology & People. It includes 7 special issue papers plus one related regular issue paper. Check it out here: https://www.emerald.com/insight/publication/issn/0959-3845/vol/37/iss/7