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V

Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., et al.. (2023). Video for ReelFramer: Co-creating News Reels on Social Media with Generative AI. Retrieved de https://youtu.be/WQZcbdp5yJQ

R

Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., et al.. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653

M

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

PID2090593.pdf (125.17 KB)

Allen, A., Aragon, C., Becker, C., Carver, J., Chiş, A., Combemale, B., et al.. (2016). Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). In Dagstuhl Manifestos. Wadern, Germany: Schloss Dagstuhl – Leibniz Center for Informatics.

I

Kwaśnik, B. H., Crowston, K., Nilan, M., & Roussinov, D.. (2001). Identifying document genre to improve web search effectiveness. The Bulletin Of The American Society For Information Science And Technology, 27, 23–26. https://doi.org/10.1002/bult.194

G

Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4

Roussinov, D., Crowston, K., Nilan, M., Kwaśnik, B. H., Liu, X., & Cai, J.. (2001). Genre based navigation on the Web. In Proceedings of the 34th Hawai'i International Conference on Systems Science (HICSS). https://doi.org/10.1109/HICSS.2001.926478

09814013.pdf (210.61 KB)

F

Newman, G., Wiggins, A., Crall, A., Graham, E., Newman, S., & Crowston, K.. (2012). The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294

Newman, G., Wiggins, A., Crall, A., Graham, E., Newman, S., & Crowston, K.. (2012). The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294

E

Beck, S., LaFlamme, M., Bergenholtz, C., Bogers, M., Brasseur, T. - M., Conradsen, M. - L., et al.. (2021). Examining Open Innovation in Science (OIS): What Open Innovation can and cannot offer the science of science. Innovation: Organization & Management. https://doi.org/10.1080/14479338.2021.1999248

D

Soni, S., Berry, C. P. L., Coughlin, S. B., Harandi, M., Jackson, C. B., Crowston, K., et al.. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb

Soni, S., Berry, C. P. L., Coughlin, S. B., Harandi, M., Jackson, C. B., Crowston, K., et al.. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb

C

Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., et al.. (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

A

Niederman, F., Crowston, K., Koch, H., Krcmar, H., Powell, P., & Swanson, B. E.. (2015). Assessing IS research impact. Communications Of The Association For Information Systems, 36. https://doi.org/10.17705/1CAIS.03607

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907