Back in October 2018, I reported on the workshop at the International Institute for Advanced Systems Analysis (IIASA) about non-traditional data approaches and the Sustainable Development Goals. The outcome of this workshop has now been published in Nature Sustainability. The writing process was coordinated by Dr Linda See of IIASA, and with a distributed process that included multiple teams of participants of the workshop working on different parts (for example, I have helped in coordinating the section “Citizen science for new goals and targets”). The final outcome is providing a comprehensive analysis of citizen science as a data source for monitoring and implementing the sustainable development goals (SDGs).
You can read the full paper here, and share it, as it is open access (in contrast to other Nature Sustainability paper, with funding for it provided by Steffen Fritz group at IIASA).
The abstract of the paper is: Traditional data sources are not sufficient for measuring the United Nations Sustainable Development Goals. New and non-traditional sources of data are required. Citizen science is an emerging example of a non-traditional data source that is already making a contribution. In this Perspective, we present a roadmap that outlines how citizen science can be integrated into the formal Sustainable Development Goals reporting mechanisms. Success will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen science can make a real contribution.
The UNEP team that participated in the writing, provided a blog post that explains why it is a valuable contribution to the discussion on SDGs (they also integrated a great music video within it!).