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Infrastructuring for Cross-Disciplinary Synthetic Science: Meta-Study Research in Land System Science

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Traditionally infrastructure studies are post-hoc analyses of emergent phenomena. While acknowledging the contextual complexity of co-evolution, there has been a turn toward exploring these processes from a design perspective. In this paper we examine a new interdiscipline, Land System Science, whose scientific inquiry is predicated on a deep and ongoing integration of radically disparate data from across the natural, physical, and social sciences. We report the results of a three-and-a half year field study of meta-study practice. In doing so, we perform infrastructural inversion to foreground the backstage scientific work practice to identify points of infrastructure. We used these insights regarding breakdowns and workarounds to inform the design of GLOBE, infrastructural tools that support this community’s needs for communication, cooperation, and knowledge construction. Our insight comes from being embedded both with domain scientists and software developers. Through four cases, we highlight the scientists’ unique challenges, strategies developed to address them, and the system components designed to better support many of these tactics. Specifically, we address the difficulties of finding, standardizing, interpreting, and validating data. This advances the infrastructuring literature by illustrating how design can be used to engage a scientific community in active self-reflection.

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Young, Alyson L.; Lutters, Wayne G. (2017): Infrastructuring for Cross-Disciplinary Synthetic Science: Meta-Study Research in Land System Science. Computer Supported Cooperative Work (CSCW): Vol. 26, No. 0. DOI: 10.1007/s10606-017-9267-z. Springer. PISSN: 1573-7551. pp. 165-203

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Collaborative design, Information infrastructure, Infrastructuring, Land system science, Meta-study, Synthetic science

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Number of citations to item: 9

  • Ariane de Bremond, Albrecht Ehrensperger, Isabelle Providoli, Peter Messerli (2019): What role for global change research networks in enabling transformative science for global sustainability? A Global Land Programme perspective, In: Current Opinion in Environmental Sustainability, doi:10.1016/j.cosust.2019.05.006
  • Joel Chan, Wayne Lutters, Jodi Schneider, Karola Kirsanow, Silvia Bessa, Jonny L. Saunders (2022): Growing New Scholarly Communication Infrastructures for Sharing, Reusing, and Synthesizing Knowledge, In: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/3500868.3559398
  • Helena Karasti, Volkmar Pipek, Geoffrey C. Bowker (2018): An Afterword to ‘Infrastructuring and Collaborative Design’, In: Computer Supported Cooperative Work (CSCW) 2(27), doi:10.1007/s10606-017-9305-x
  • Volkmar Pipek, Helena Karasti, Geoffrey C. Bowker (2017): A Preface to ‘Infrastructuring and Collaborative Design’, In: Computer Supported Cooperative Work (CSCW) 1-2(26), doi:10.1007/s10606-017-9271-3
  • Adriana Alvarado Garcia, Alyson L. Young, Lynn Dombrowski (2017): On Making Data Actionable, In: Proceedings of the ACM on Human-Computer Interaction CSCW(1), doi:10.1145/3134654
  • Georgia Panagiotidou, Jeroen Poblome, Jan Aerts, Andrew Vande Moere (2022): Designing a Data Visualisation for Interdisciplinary Scientists. How to Transparently Convey Data Frictions?, In: Computer Supported Cooperative Work (CSCW) 4(31), doi:10.1007/s10606-022-09432-9
  • Xin Qian, Matt J. Erhart, Aniket Kittur, Wayne G. Lutters, Joel Chan (2019): Beyond iTunes for Papers, In: Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/3311957.3359455
  • Peter Thomas Darch (2022): The core of the matter: How do scientists judge trustworthiness of physical samples?, In: Frontiers in Research Metrics and Analytics, doi:10.3389/frma.2022.1034595
  • Dan Sholler (2020): Infrastructuring as an Occasion for Resistance: Organized Resistance to Policy-Driven Information Infrastructure Development in the U.S. Healthcare Industry, In: Computer Supported Cooperative Work (CSCW) 4(29), doi:10.1007/s10606-020-09375-z
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