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Adoption and Adaptation of Data Science in Oceanography

Published:28 February 2015Publication History

ABSTRACT

Ocean sciences in the US have had a cultural distinction between modeling and fieldwork: a researcher either wrote MATLAB code, or went on data collection cruises. Large-scale multi-institution collaborations, and adoption of data science tools and skills, are blurring this distinction. CSCW and STS often study data: its production, maintenance, management, and use. In my dissertation, I focus not on the data but oceanographer groups incorporating data science practice into their work. By studying challenges faced by collective actors, this ethnographic research will then lead to developing design and organization implications for supporting data science practice in scientific academic collaborations.

References

  1. Borgman, C.L., Wallis, J.C., Mayernik, M.S. Who's got the data? Interdependencies in Science and Technology Studies. JCSCW 2012.Google ScholarGoogle Scholar
  2. Charmaz, K. Constructing Grounded Theory. 2014.Google ScholarGoogle Scholar
  3. Chen, Y. C., Lee, S., Hur, H., Leigh, J., Johnson, A., & Renambot, L. Case Study: Designing An Advanced Visualization System for Geological Core Drilling Expeditions. CHI Extended Abstracts 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Edward, P.N. A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming. The MIT Press 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Guo, P. "Data Science Workflow." Communications of the ACM, October 2013.Google ScholarGoogle Scholar
  6. Steinhardt, S.B., Jackson, S.B. Anticipation Work: Cultivating Vision in Collective Practice. CSCW 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Lee, C.P. "Boundary Negotiating Artifacts: Unbinding the Routine of Boundary Objects and Embracing Chaos in Collaborative Work". CSCW 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Maxwell, J.A. Qualitative Research Design: an Interactive Approach. 2012.Google ScholarGoogle Scholar

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  1. Adoption and Adaptation of Data Science in Oceanography

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    • Published in

      cover image ACM Conferences
      CSCW'15 Companion: Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing
      February 2015
      350 pages
      ISBN:9781450329460
      DOI:10.1145/2685553

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 February 2015

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      CSCW'15 Companion Paper Acceptance Rate161of575submissions,28%Overall Acceptance Rate2,235of8,521submissions,26%

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