Jackson, C. B., Oesterlund, C., Crowston, K., Harandi, M., & Team, T. G. S. (2017). Supporting Crowd Workers: Assembling Resources in Online Citizen Science Projects. In Syracuse University School of Information Studies.
First name
Mahboobeh
Last name
Harandi
Lee, T. K., Crowston, K., Harandi, M., Østerlund, C., & Miller, G. (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal of Science Communication, 17. https://doi.org/10.22323/2.17010202
Jackson, C. B., Crowston, K., Østerlund, C., & Harandi, M. (2018). Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work, 27(3–6), 647–678. https://doi.org/10.1007/s10606-018-9327-z
Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., Coughlin, S., Kalogera, V., Katsaggelos, A., Larson, S., Rohani, N., Smith, J., Trouille, L., & Zevin, M. (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers in Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
Harandi, M., Crowston, K., Jackson, C., & Østerlund, C. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai’i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
Crowston, K., Østerlund, C., Lee, T. K., Jackson, C. B., Harandi, M., Allen, S., Bahaadini, S., Coughlin, S., Katsaggelos, A., Larson, S., Rohani, N., Smith, J., Trouille, L., & Zevin, M. (2020). Knowledge Tracing to Model Learning in Online Citizen Science Projects. IEEE Transactions on Learning Technologies, 13, 123-134. https://doi.org/10.1109/TLT.2019.2936480
Harandi, M., Crowston, K., Jackson, C. B., & Østerlund, C. (2018). Perceptions of Machine Learning: The genie in the bottle.
Jackson, C. B., Østerlund, C., Harandi, M., Kharwar, D., & Crowston, K. (2019). Linguistic adoption in online citizen science: A structurational perspective. In International Conference on Information Systems. https://aisel.aisnet.org /icis2019/crowds_social/crowds_social/28/
Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., Jackson, C. B., Noroozi, V., Allen, S., Areeda, J., Coughlin, M., Ruiz, P., Berry, C. P. L., Crowston, K., Katsaggelos, A., Lundgren, A., Østerlund, C., Smith, J., Trouille, L., & Kalogera, V. (2019). Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical Review D, 99(8), 082002. https://doi.org/10.1103/PhysRevD.99.082002