Round table on The Future of Work: Intelligent Machines, Automation, and Societal Impacts

Submitted by crowston on Mon, 2018-03-19 16:33

There was a webcast round table on The Future of Work: Intelligent Machines, Automation, and Societal Impacts. A video of the webcast can be found .

Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment

Big Data Factories book has been published!

Submitted by crowston on Tue, 2017-12-05 07:39

The book has been published by Springer. The book discusses how to use the increasing flood of data created as a byproduct of online behaviour as a source for research. I have a chapter entitled "".

Attitudes and norms affecting scientists’ data reuse

Curty, R. G., Crowston, K., Specht, A., Grant, B., & Walton, E. D.. (2017). Attitudes and norms affecting scientists’ data reuse. Plos One, 12(12). https://doi.org/10.1371/journal.pone.0189288

Stigmergic coordination in Wikipedia

Looking for PhD students!

Submitted by crowston on Fri, 2017-09-15 11:53

I am interested in finding new PhD students interested in work and technology, especially work and intelligent machines. You can find more information on the program . Please get in touch if you have questions or are thinking about applying.

Coordinating advanced crowd work: Extending citizen science

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2018). Coordinating advanced crowd work: Extending citizen science. In Hawai'i International Conference on System Sciences (51st ed.). https://doi.org/10.24251/HICSS.2018.212

Stages of motivation for contributing user-generated content: A theory and empirical test

Crowston, K., & Fagnot, I.. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal Of Human-Computer Studies, 109, 89-101. https://doi.org/10.1016/j.ijhcs.2017.08.005

Pursuing best performance in research data management by using the Capability Maturity Model and rubrics

Qin, J., Crowston, K., & Kirkland, A.. (2017). Pursuing best performance in research data management by using the Capability Maturity Model and rubrics. Journal Of Escience Librarianship, 6(2), e1113. https://doi.org/10.7191/jeslib.2017.1113

Research coordination network funded!

Submitted by crowston on Thu, 2017-08-24 16:22

NSF just announced funding for our (me, Jeff Nickerson and Ingrid Erickson) Research Coordination Network on the Socio-Technological Landscape of Work in the Age of Increased Automation. See the press release and the award summary .

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