"Design impacts of citizen science. A comparative analysis of water monitoring projects"

Kirschke, Sabrina, Bennett, Christy, Ghazani, Armin Bigham, Kirschke, Dieter, Lee,Yeongju, Loghmani Khouzani, Seyed Taha and Shuvojit Nath, (2023). "Design impacts of citizen science. A comparative analysis of water monitoring projects". Frontiers in Environmental Science, 11 01-14

Document type:
Article
Collection:
UNU-FLORES Articles

Metadata
Links
Versions
Statistics
  • Sub-type Journal article
    Author Kirschke, Sabrina
    Bennett, Christy
    Ghazani, Armin Bigham
    Kirschke, Dieter
    Lee,Yeongju
    Loghmani Khouzani, Seyed Taha
    Shuvojit Nath
    Title "Design impacts of citizen science. A comparative analysis of water monitoring projects"
    Appearing in Frontiers in Environmental Science
    Volume 11
    Publication Date 2023-10-11
    Place of Publication Online
    Publisher Frontiers Media S.A.
    Start page 01
    End page 14
    Language eng
    Abstract "Citizen science is often promoted as having the capacity to enable change–from increasing data provision and knowledge product development, via behavioral change of citizens, to problem-solving. Likewise, researchers increasingly emphasize the role of project design in initiating these changes through citizen science. However, respective claims are mostly based on single case studies and reviews, calling for a systematic comparative approach to understanding the effects of project design on change. Based on a survey of 85 water-related citizen science projects from 27 countries, we analyze the comparative effects of literature-based design principles on project impacts. Factor analysis first reveals three key impact factors which are ‘Data output’, ‘Citizen outcome’, and ‘Impact chain’. Regression analysis then shows that these impact factors are significantly influenced by several design factors, amongst which motivational factors are most prominent. The analysis also shows that design factors are most important for ‘Impact chain’, followed by ‘Citizen outcome’, and ‘Data output’. While design factors only partly explain the overall project effects, the regression results are rather stable and significant when including other potential influencing factors like project responsibility and funding. In sum, the results provide an empirically substantiated and differentiated understanding of citizen science impacts and how these are influenced by project design."
    UNBIS Thesaurus FRESHWATER
    REGRESSION ANALYSIS
    Keyword community-based monitoring
    impact assessment
    SDG 6
    voluntary monitoring
    Copyright Holder The Authors
    Copyright Year 2023
    Copyright type Creative commons
    ISSN 2296-665X
    DOI https://doi.org/10.3389/fenvs.2023.1186238
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 186 Abstract Views  -  Detailed Statistics
    Created: Thu, 26 Oct 2023, 05:55:20 JST by Věra Greschner Farkavcová on behalf of UNU FLORES