You are here

Papers

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 63 results:

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

C

Wiggins, A. (2010). Crowdsourcing Science: Organizing Virtual Participation in Knowledge Production. Syracuse, NY: Syracuse University.

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2018). Coordinating advanced crowd work: Extending citizen science. In Hawai'i International Conference on System Sciences (51st ed.). https://doi.org/10.24251/HICSS.2018.212

Quench to distribute.pdf (710.03 KB)

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166

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

Prestopnik, N., & Crowston, K.. (2012). Citizen science system assemblages: Understanding the technologies that support crowdsourced science. In iConference 2012.

citizensciencesystemassemblage.pdf (74 KB)

Prestopnik, N., & Crowston, K.. (2011). Citizen science system assemblages: Toward greater understanding of technologies to support crowdsourced science. Syracuse University School of Information Studies.

system_assemblage.pdf (89.24 KB)

Prestopnik, N., & Crowston, K.. (2011). Citizen Science System Assemblages: Toward Greater Understanding of Technologies to Support Crowdsourced Science.

system_assemblage.pdf (89.24 KB)

Jackson, C. B. (2019). Characterizing Novelty as a Motivator in Online Citizen Science (Syracuse University). In School of Information Studies. Retrieved de https://surface.syr.edu/etd/1046/

B

Østerlund, C., Crowston, K., & Jackson, C. B.. (2020). Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal Of The Association For Information Systems, 21(1), Article 10. https://doi.org/10.17705/1jais.00590

RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB)

Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009

training v3 to share.pdf (245.57 KB)

Mugar, G., Østerlund, C., Jackson, C., & Crowston, K.. (2015). Being Present in Online Communities: Learning in Citizen Science. In 7th International Conference on Communities and Technologies. https://doi.org/10.1145/2768545.2768555

C&T_2015_FINAL.pdf (432.26 KB)

A

Lee, T. Kyoung, 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

JCOM_1701_2018_A02.pdf (306.9 KB)

Crowston, K. (2012). Amazon Mechanical Turk: A research tool for organizations and information systems scholars (A. Bhattacherjee & Fitzgerald, B., Eds.). In IFIP Working Group 8.2 Conference: Shaping the Future of ICT Research: Methods and Approaches (pp. 210-221). https://doi.org/10.1007/978-3-642-35141-9

3890210.pdf (1.64 MB)

Pages