Citizen science contributions to environmental risks assessment and management
A systematic map and qualitative evidence synthesis
Bibliographic Data
| ID | 10888952 |
|---|---|
| Authors | Monika Suškevičs (0000-0002-5666-2623, Estonian University of Life Sciences, corresponding author), Chidiebere Christy Obi, Chidiebere Christy (Estonian University of Life Sciences), Joanna Tamar Storie (0000-0003-0034-1692, Estonian University of Life Sciences), Carmen Kilvits (0009-0006-2738-7307, Estonian University of Life Sciences), Anton Shkaruba (0000-0003-2536-2123, Estonian University of Life Sciences), Ghieth Alkhateeb (0009-0002-8094-2913, Estonian University of Life Sciences) |
| Year | 2025 |
| Volume | 55 |
| Issue | 7 |
| Pages | 1426-1446 |
| Publication date | 2025-11-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AMBIO (JOURNAL) |
| Journal identifiers | ISSN: 0044-7447 • E-ISSN: 1654-7209 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13280-025-02305-7 |
| PMID | 41307891 |
| OpenAlex | W4416764122 |
| Language | EN |
| References cited | 90 |
In an era of systemic risks from natural and human-induced hazards, we need approaches that address such risks at different governance levels, including those at the community level. Citizen science (CS)-public participation in research-is one such approach that has the potential to benefit risk assessment and management. Building on systematic evidence synthesis methodologies, we examine the individual and collective benefits from CS to environmental risk assessment and management. From systematic search results (9277 records), we found 133 publications dealing with the topic in-depth. Results show that CS is increasingly being recognised for risk assessment and management and several individual-level benefits (e.g., improved scientific skills) support outcomes for communities (e.g., increased community capacity). Identified knowledge gaps include (i) unidentified potential of CS for different risk governance phases, and (ii) scattered evidence of CS community outcomes in different geographic regions. We conclude that CS can increase resilience amongst vulnerable communities
Citizen science · Community resilience · Corporate governance · Environmental governance · Resilience (materials science) · Risk assessment · Risk Governance · Risk management · Innovative Approaches in Technology and Social Development · Species Distribution and Climate Change · Zoonotic diseases and public health
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| Highly cited | No |
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