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PDF icon jit05 (151.53 KB)
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Saltz, J., Crowston, K., Heckman, R., & Hegde, Y.. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal Of Information Systems And Project Management, 8(3). https://doi.org/10.12821/ijispm080301
Saltz, J., Heckman, R., Crowston, K., You, S., & Hegde, Y.. (2019). Helping data science students develop task modularity. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.134
PDF icon modularity-HICSS-final-afterReview.pdf (242.49 KB)
Saltz, J., Shamshurin, I., & Crowston, K.. (2017). Comparing data science project management methodologies via a controlled experiment. In Hawai'i International Conference on System Sciences (HICSS-50). https://doi.org/10.24251/HICSS.2017.120
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Rubleske, J., Crowston, K., Kwaśnik, B. H., & Chun, Y. - L.. (2007). Building a Corpus of Genre-Tagged Web Pages for an Information-Access Experiment. In Colloquium on Web Genres, Corpus Linguistics. Presented at the Colloquium on Web Genres, Corpus Linguistics, Birmingham, UK.
PDF icon corpus.longabstract.revised.IV16.pdf (84.49 KB)
Rubleske, J., Crowston, K., & Kwaśnik, B. H.. (2005). Can Genre Metadata Improve Information Retrieval?. In Connections: The 10th Annual Great Lakes Information Science Conference. Presented at the Connections: The 10th Annual Great Lakes Information Science Conference, McGill University, Montreal, Quebec.
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
PDF icon 09814013.pdf (210.61 KB)
PDF icon The_importance_of_initial_core_member_in_online_communities.pdf (700.97 KB)
PDF icon stigmergic-coordination-wikipedia final.pdf (1.57 MB)
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PDF icon citizensciencesystemassemblage.pdf (74 KB)
Prestopnik, N., Crowston, K., & Wang, J.. (2017). Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers In Human Behavior, 68, 254–268. https://doi.org/10.1016/j.chb.2016.11.035
PDF icon chb2016.pdf (3.74 MB)
Prestopnik, N., Crowston, K., & Wang, J.. (2014). Exploring data quality in games with a purpose. In iConference. https://doi.org/10.9776/14066
PDF icon gamedataquality_cameraready_4.pdf (1.55 MB)
Prestopnik, N., & Souid, D.. (2013). Forgotten island: A story-driven citizen science adventure (W. E. Mackay, Brewster, S., & Bødker, S., Trans.). In CHI '13 Extended Abstracts on Human Factors in Computing Systems (2643–2646). https://doi.org/10.1145/2468356.2479484
Prestopnik, N., & Crowston, K.. (2012). Purposeful gaming & socio-computational systems: A citizen science design case. In Group '12 Conference. Presented at the Group '12 Conference, Sanibel Island, FL, USA.
PDF icon citizensort_cameraready.pdf (946.87 KB)
PDF icon system_assemblage.pdf (89.24 KB)
PDF icon designing citizen science games.pdf (1 MB)
Prestopnik, N., & Crowston, K.. (2011). Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system. 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
PDF icon gamingforcitizenscience_ver6.pdf (217.69 KB)
PDF icon system_assemblage.pdf (89.24 KB)
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
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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

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