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.
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Index Terms
- Adoption and Adaptation of Data Science in Oceanography
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