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(Re)defining Land Change Science through Synthetic Research Practices

Published: 28 February 2015 Publication History

Abstract

This paper investigates the co-evolution of scientific practice and supporting technologies for the interdisciplinary research community of Land Change Science. Through three and a half years of iterative fieldwork and system design, we have developed a deep understanding of their synthetic research practices, specifically regarding meta-studies. Here we detail the challenges researchers face conducting meta-studies and how this collective effort advances the entire scholarly community. We illustrate how our understanding of this synthetic research practice informs the design and refinement of cyberinfrastructure to better support their work.

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cover image ACM Conferences
CSCW '15: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing
February 2015
1956 pages
ISBN:9781450329224
DOI:10.1145/2675133
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 28 February 2015

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Author Tags

  1. cyberinfrastructure
  2. e-science
  3. land change science
  4. research synthesis
  5. sociotechnical systems

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CSCW '15 Paper Acceptance Rate 161 of 575 submissions, 28%;
Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

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  • (2023)Co-creating a Transdisciplinary Map of Technology-mediated Harms, Risks and Vulnerabilities: Challenges, Ambivalences and OpportunitiesProceedings of the ACM on Human-Computer Interaction10.1145/36101797:CSCW2(1-21)Online publication date: 4-Oct-2023
  • (2022)Implicit Error, Uncertainty and Confidence in Visualization: An Archaeological Case StudyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.308833928:12(4389-4402)Online publication date: 1-Dec-2022
  • (2022)Designing a Data Visualisation for Interdisciplinary Scientists. How to Transparently Convey Data Frictions?Computer Supported Cooperative Work (CSCW)10.1007/s10606-022-09432-931:4(633-667)Online publication date: 22-Jul-2022
  • (2022)Groupware for Research on Subsurface CO$$_2$$ StorageInteractive Data Processing and 3D Visualization of the Solid Earth10.1007/978-3-030-90716-7_9(291-323)Online publication date: 21-Feb-2022
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  • (2021)The emergence of land systems as the nexus for sustainability transformationsAmbio10.1007/s13280-021-01519-9Online publication date: 13-Mar-2021
  • (2019)Collaborative Practices with Structured DataProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300330(1-14)Online publication date: 2-May-2019
  • (2019)Land system science and the 2030 agenda: exploring knowledge that supports sustainability transformationCurrent Opinion in Environmental Sustainability10.1016/j.cosust.2019.04.00638(68-76)Online publication date: Jun-2019
  • (2019)Exploring visual representations to support data re‐use for interdisciplinary scienceProceedings of the Association for Information Science and Technology10.1002/pra2.2018.1450550106055:1(554-563)Online publication date: Feb-2019
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