Papers

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Conference Paper
Aragon, C. R., Poon, S., & Silva, C. T.. (2009). The changing face of digital science (D. R. Olsen, Arthur, R. B., Hinckley, K., Morris, M. Ringel, Hudson, S., & Greenberg, S., Trans.). In the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09 (4819). https://doi.org/10.1145/1520340.1520749
Duckworth, P., Graham, L., & Osborne, M.. (2019). Inferring work task automatability from AI expert evidence (V. Conitzer, Hadfield, G., & Vallor, S., Trans.). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, G. - J., de Vreede, T., Druckenmiller, D., et al.. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055
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Journal Article
Obschonka, M., & Audretsch, D. B.. (2019). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics. https://doi.org/10.1007/s11187-019-00202-4
Orlikowski, W. J., & C. Iacono, S.. (2001). Desperately seeking "IT" in IT research: A call to theorizing the IT artifact. Information Systems Researchinformation Systems Research, 12, 121–134.
Desideri, L., Ottaviani, C., Malavasi, M., di Marzio, R., & Bonifacci, P.. (2019). Emotional processes in human-robot interaction during brief cognitive testing. Computers In Human Behavior, 90, 331 - 342. https://doi.org/10.1016/j.chb.2018.08.013
Frey, C. Benedikt, & Osborne, M. A.. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological Forecasting And Social Change, 114, 254 - 280. https://doi.org/10.1016/j.techfore.2016.08.019
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
Oldham, G. R., & Fried, Y.. (2016). Job design research and theory: Past, present and future. Organizational Behavior And Human Decision Processes, 136, 20 - 35. https://doi.org/10.1016/j.obhdp.2016.05.002
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
Oldham, G. R., & J. Hackman, R.. (2010). Not what it was and not what it will be: The future of job design research. Journal Of Organizational Behavior, 31(2-3), 463 - 479. https://doi.org/10.1002/job.v31:2/310.1002/job.678
Obermeyer, Z., & Emanuel, E. J.. (2016). Predicting the Future — Big Data, Machine Learning, and Clinical Medicine. New England Journal Of Medicine, 375(13), 1216 - 1219. https://doi.org/10.1056/NEJMp1606181
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038

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