R06


Revitalizing official statistics: Citizen science for inclusive SDG data in times of financial and political crisis 
Convenors:
Dilek Fraisl (International Institute for Applied Systems Analysis (IIASA))
Francesca Perucci (Open Data Watch)
Omar Seidu (Ghana Statistical Service)
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Chairs:
Dilek Fraisl (International Institute for Applied Systems Analysis (IIASA))
Francesca Perucci (Open Data Watch)
Discussant:
Omar Seidu (Ghana Statistical Service)
Format:
Roundtable

Short Abstract

Official statistics are under pressure from political pushback, financial cuts, and shifting priorities, threatening SDG progress. This session explores how citizen science can address SDG data gaps and build more resilient, inclusive data ecosystems rooted in trust, collaborations and inclusivity.

Description

With less than five years to achieve the United Nations Sustainable Development Goals (UN SDGs), persistent data gaps, particularly in environmental indicators, nearly half of which lack data, threaten progress. Political resistance and financial constraints, especially in low- and middle-income countries, have further strained monitoring efforts. The recent termination of the Demographic and Health Surveys by the U.S. government has been a major setback. Even in high-income countries, shifting priorities and increased defense spending are limiting investment in statistical systems.

In this context, citizen science offers a promising yet underutilized solution. Studies show that citizen science data could contribute to at least 33% of SDG indicators. Real-world examples include Ghana’s integration of beach litter data into official SDG reporting, which inspired similar efforts in Sierra Leone, Colombia, and beyond. The UN Development Program used citizen science to measure citizen satisfaction with public services, reaching marginalized populations often excluded by traditional data collection.

This session will explore how citizen science, when grounded in the ECSA principles, and complemented by indigenous and local knowledge systems, can be integrated into national statistical systems and global policy frameworks, such as the SDGs and Global Biodiversity Framework. Citizen science can provide timely, localized, and disaggregated data across topics from environment to poverty. Yet, challenges in standardization, quality assurance, scaling and trust-building remain. Participants from National Statistical Offices, the UN, academia and civil society will discuss pathways to more inclusive, resilient data ecosystems, including the UN Statistics Division Collaborative on Citizen Data and the Copenhagen Framework.

The session will also mark the launch of the Citizen Science Working Group under the UN Statistics Division and partners-led Collaborative on Citizen Data. The Group will be co-chaired by the Collaborative and the Citizen Science Global Partnership (CSGP) and will outline opportunities for engagement.

Accepted contributions