Participatory Observation Methods Within Data-Intensive Science: Formal Evaluation and Sociotechnical Insight

Elliott Hauser, Will Sutherland, and Mohammad Hossein Jarrahi. 2024. Participatory observation methods within data-intensive science: Formal evaluation and sociotechnical insight. In 19th International Conference on Information (Lecture notes in computer science), Springer Nature Switzerland, Cham,

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Elliott Hauser

University of Texas at Austin - School of Information

Will Sutherland

University of Washington - College of Engineering

Mohammad Jarrahi

University of North Carolina (UNC) at Chapel Hill - School of Information and Library Science (SILS)

Date Written: September 15, 2023

Abstract

This paper presents a framework enabling qualitative researchers to gain rich participatory access to study scientific practices within collaborative, funded research projects. Participatory observation methods provide unique access to scientific sites for social studies of science but require authentic and mutually beneficial motivations for qualitative researchers’ participation. We illustrate a successful approach to configuring such collaborations by presenting the case of our participatory observation of an intensive NSF-funded Data-Intensive Science (DIS) training, as members of the evaluation team. We detail how our dual-purpose data collection methods informed both funder-facing evaluation materials and our own subsequent research publications, completed in parallel to the training’s core objectives. We organize our site-specific findings on scientific practice around the themes of Technology, Practices, and Culture. Participatory evaluation of grant funded science is a rich and under-utilized form of site access for sociotechnical researchers that can facilitate mutually beneficial scientific convergence.

Keywords: Sociotechnical Methods, Participant Observation, Evaluation, Scientific Training, Data-intensive Science

Suggested Citation

Hauser, Elliott and Sutherland, Will and Jarrahi, Mohammad, Participatory Observation Methods Within Data-Intensive Science: Formal Evaluation and Sociotechnical Insight (September 15, 2023). Elliott Hauser, Will Sutherland, and Mohammad Hossein Jarrahi. 2024. Participatory observation methods within data-intensive science: Formal evaluation and sociotechnical insight. In 19th International Conference on Information (Lecture notes in computer science), Springer Nature Switzerland, Cham, , Available at SSRN: https://ssrn.com/abstract=

Elliott Hauser (Contact Author)

University of Texas at Austin - School of Information

Austin, TX
United States

Will Sutherland

University of Washington - College of Engineering ( email )

3920 E. Stevens Way NE
Seattle, WA 98195
United States

Mohammad Jarrahi

University of North Carolina (UNC) at Chapel Hill - School of Information and Library Science (SILS) ( email )

United States

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