Ghislieri, C., Molino, M., & Cortese, C. G. (2018). Work and organizational psychology looks at the fourth industrial revolution: How to support workers and organizations? . Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02365
Caleb-Solly, P., Dogramadzi, S., Huijnen, C. A., & van den Heuvel, H. (2018). Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance. The Information Society, 34(3), 153-165. https://doi.org/10.1080/01972243.2018.1444255
Anani, N. (2018). Paving the way for the future of work. Canadian Public Policy, 1-10. https://doi.org/10.3138/cpp.2018-012
Social machines and the Internet : What went wrong? (2018). BiD: Textos Universitaris de Biblioteconomia I Documentaci�, 2018.41. https://doi.org/10.1344/BiD2018.41.8
Turk, Z. (2018). The Future of Work: Robots Cooking Free Lunches? European View, 17(2), 241-241. https://doi.org/10.1177/1781685818813010
Hanley, D. (2018). Comment on “Should we fear the robot revolution? (The correct answer is yes)” by Andrew Berg, Ed Buffie, and Felipe Zanna. Journal of Monetary Economics, 97, 149-152. https://doi.org/10.1016/j.jmoneco.2018.05.012
Katz, L., Poo, A.-J., & Waxman, E. (2018). Imagining a future of work that fosters mobility for all. Us Partnership on Mobility from Poverty. https://www.mobilitypartnership.org/imagining-future-work-fosters-mobility-all
Malone, T. W., Nickerson, J. V., Laubacher, R. J., Fisher, L. H., de Boer, P., Han, Y., & Ben Towne, W. (2017). Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 1661–1674. https://doi.org/10.1145/2998181.2998343
Crowston, K., & Squire, M. (2017). Lessons Learned from a Decade of FLOSS Data Collection. In S. A. Matei, N. Jullien, & S. P. Goggins (Eds.), Big Data Factories (pp. 79-100). Springer International Publishing. https://doi.org/10.1007/978-3-319-59186-5
Crowston, K., Østerlund, C., & Lee, T. K. (2017). Blending machine and human learning processes. In Hawai’i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009