Kevin Crowston

Crowston, K., Østerlund, C., Howison, J., & Bolici, F. (2011). Work as coordination and coordination as work: A process perspective on FLOSS development projects. Third International Symposium on Process Organization Studies.

Prestopnik, N., & Crowston, K. (2011). Citizen science system assemblages: Toward greater understanding of technologies to support crowdsourced science. Syracuse University School of Information Studies.

Kim, Y., & Crowston, K. (2011). Technology adoption and use: Theory review for studying scientists’ continued use of cyber-infrastructure. In American Society for Information Science and Technology Annual Meeting.

Crowston, K., & Qin, J. (2011). A capability maturity model for scientific data management: Evidence from the literature. In American Society for Information Science and Technology Annual Meeting.

Wiggins, A., & Crowston, K. (2012). Goals and tasks: Two typologies of citizen science projects. In Forty-fifth Hawai’i International Conference on System Sciences (HICSS-45).

Wiggins, A., Newman, G., Stevenson, R. D., & Crowston, K. (2011). Mechanisms for Data Quality and Validation in Citizen Science. "Computing for Citizen Science" Workshop at the IEEE EScience Conference. http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html

Prestopnik, N., & Crowston, K. (2011). Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system. “Computing for Citizen Science” Workshop at the IEEE EScience Conference. http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html

Wiggins, A., & Crowston, K. (2011). Describing public participation in scientific research. Syracuse University School of Information Studies.

Prestopnik, N., & Crowston, K. (2012). Citizen science system assemblages: Understanding the technologies that support crowdsourced science. In iConference 2012.

Sawyer, S., Crowston, K., & Wigand, R. (2011). Digital assemblages: Evidence and theorizing from the computerization of the U.S. residential real estate industry.