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Mapping Citizen Science Contributions to the SDGs

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Mapping Citizen Science Contributions to the SDGs

Dilek Fraisl

Novel Data Ecosystems for Sustainability Research (NODES) International Institute for Applied Systems Analysis (IIASA)

Email: fraisl@iiasa.ac.at Twitter: @dilekfraisl1

Web: www.iiasa.ac.at

www.geo-wiki.org

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ID 66305550 © Blackzheep | Dreamstime.com

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Citizen Science

Public Participation

Voluntary Contributions

Knowledge Production

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Methodology

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The SDG indicators where citizen science projects are ‘already contributing’, ‘could contribute’ or

where there is ‘no alignment'

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The greatest contribution of citizen science data to SDG monitoring would be in:

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Examples of

Citizen Science Contributions to SDG Monitoring

ID 77165835 © James Kirkikis | Dreamstime.com

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14.1.1b Floating plastic debris density

UNEP, the custodian agency for this indicator developed a methodology that uses citizen science data as a primary source of information for measuring marine plastics on beaches and shorelines.

Litter Intelligence is a large-scale citizen science program led by Sustainable Coastlines. The initiative collaborating with the Ministry for the Environment, Stats New Zealand and the Department of Conservation since the design phase of the program in 2016. The results are included in the official environmental report 'Marine 2019' produced by the Ministry for the Environment and Stats New Zealand as well as the 2019 VNR Report of the country.

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Citizen Science for the SDGs (CS4SDGs) – Ghana

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11.7.1 on the built-up area of cities that is open space for public use

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16.1.3 Proportion of population subjected to (a) physical violence, (b) psychological

violence and (c) sexual violence in the previous 12 months

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o This is NOT a proposal on how to replace the traditional sources of data, but instead the questions of how to complement them in a more cost effective way;

o Citizen science projects we highlighted today probably need some modification and improvement in their methodologies for their results to be used for SDG monitoring;

o No data source is perfect. They all have their limitations and advantages;

o Not only a source of data, but also a way to mobilize action for

achieveing the SDGs.

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Our Storymap: https://arcg.is/1WDGWm

Sustainable Coastlines I Litter Intelligence

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Dilek Fraisl

International Institute for Applied Systems Analysis (IIASA) on behalf of the WeObserve SDGs CoP

Thank you!

Dilek Fraisl, Jillian Campbell, Linda See, Uta Wehn, Jessica Wardlaw, Margaret Gold, Inian Moorthy, Rosa Arias, Jaume Piera, Jessica L. Oliver, Joan Maso, Marianne Penker, and Steffen Fritz

Email: fraisl@iiasa.ac.at Twitter: @dilekfraisl1

Web: www.iiasa.ac.at

www.geo-wiki.org

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