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Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis
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Official data are not sufficient for monitoring the United Nations Sustainable Development Goals (SDGs): they do not reach remote locations or marginalized populations and can be manipulated by governments. Citizen science data (CSD), defined as data that citizens voluntarily gather by employing a wide range of technologies and methodologies, could help to tackle these problems and ultimately improve SDG monitoring. However, the link between CSD and the SDGs is still understudied. This article aims to develop an empirical understanding of the CSD-SDG link by focusing on the perspective of projects which employ CSD. Specifically, the article presents primary and secondary qualitative data collected on 30 of these projects and an explorative comparative case study analysis. It finds that projects which use CSD recognize that the SDGs can provide a valuable framework and legitimacy, as well as attract funding, visibility, and partnerships. But, at the same time, the article reveals that these projects also encounter several barriers with respect to the SDGs: a widespread lack of knowledge of the goals, combined with frustration and political resistance towards the UN, may deter these projects from contributing their data to the SDG monitoring apparatus.
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“Indeed, participatory approaches leveraging public involvement have demonstrated to significantly enhance data collection, foster community empowerment, and drive progress toward achieving the SDGs (Ballerini & Bergh, 2021;Fraisl et al., 2023;Gaventa & Barrett, 2012;Huttunen et al., 2022;Loeffler & Martin, 2015;Müller et al., 2023).”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Ballerini & Bergh, 2021
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Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project
(2026) · University of Maribor Press · doi:10.18690/um.feri.2.2026
Metadata
- Authors
- Ballerini, L., & Bergh, S. I.
- Affiliations
- University of Oxford (GB)
- International Institute of Social Studies (NL)
- Corresponding author
- Bergh, Sylvia I.
- Venue
- Sustainability Science
- Published
- 2021-07-23
- Volume
- 16
- Issue
- 6
- Pages
- 1945-1962
- ISSN
- 1862-4057 (ISSN-L)
- 1862-4065
- PMC
- PMC8298195
- OpenAlex
- W3186995134
- Cited by
- 43
- References
- 1
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 3 · 2023: 10 · 2022: 12 · 2021: 1
- FWCI
- 9.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Sustainability Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Funders
- John Stuart Mill College, Vrije Universiteit Amsterdam
- Topics
- Social Sciences › Sociology and Political Science › Human Rights and Development
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- citizen science data, Sustainable Development Goals, SDG monitoring, marginalized communities
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