Citizen Science and the Sustainable Development Goals in Low and Middle Income Country Cities

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http://hdl.handle.net/10138/338841

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Pateman , R , Tuhkanen , H & Cinderby , S 2021 , ' Citizen Science and the Sustainable Development Goals in Low and Middle Income Country Cities ' , Sustainability , vol. 13 , no. 17 , 9534 . https://doi.org/10.3390/su13179534

Title: Citizen Science and the Sustainable Development Goals in Low and Middle Income Country Cities
Author: Pateman, Rachel; Tuhkanen, Heidi; Cinderby, Steve
Contributor organization: Helsinki Inequality Initiative (INEQ)
Urban Environmental Policy
Helsinki Institute of Sustainability Science (HELSUS)
Date: 2021-09
Language: eng
Number of pages: 24
Belongs to series: Sustainability
ISSN: 2071-1050
DOI: https://doi.org/10.3390/su13179534
URI: http://hdl.handle.net/10138/338841
Abstract: Progress towards the United Nations' Sustainable Development Goals (SDGs) is monitored using a set of targets and indicators. Gaps in official datasets have led to calls for the inclusion of data generated through citizen science (CS) and allied approaches. Co-benefits of CS mean these approaches could also contribute to localising, defining, and achieving the SDGs. However, mapping of current and potential contributions is needed, as well as an understanding of the challenges these approaches present. We undertake a semi-systematic review of past and current CS projects and assess them against dimensions of CS-spatial, temporal, thematic, process, and management-and their value for the SDGs set out by Fritz et al. in 2019, focusing on low and middle income country (LMIC) cities as key environments in the battle for sustainability. We conduct interviews with project leaders to further understand the challenges for CS in these contexts. We find opportunities for projects to monitor and achieve a wide range of goals, targets, and indicators. However, we find fewer projects in low income countries when compared with middle income countries. Challenges include balancing local needs with national monitoring requirements and a lack of long-term funding. Support is needed for LMICs to achieve the potential of CS.
Subject: community-based monitoring
co-creation
monitoring
social media
big data
smart cities
urbanization
VGI
URBAN
PARTICIPATION
OPPORTUNITIES
URBANIZATION
INDICATORS
CHALLENGES
KNOWLEDGE
ENHANCE
TRENDS
1172 Environmental sciences
5200 Other social sciences
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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