Tools
For the past year, Stanford’s Sustainable Urban Systems Initiative (SUS) within the School of Engineering has been working with the Sustainable Development Solutions Network (SDSN) and a variety of local stakeholders in the California Bay Area to test SDG localization strategies. SUS has identifed this main challenge: we need actionable intelligence at the city level to achieve the SDGs and it is tackling it through the development of three solutions which combine the best of top-down structure with bottom-up innovation to turn raw data (local reporting platform) into intelligence (dashboard) that is actionable (marketplace of decision-making tools) for counties, cities, businesses, and communities. The models that SUS is building to demonstrate innovative SDG data localization tools that can be replicated in other cities are available here: http://sus.stanford.edu/sdg
Available in English
This report focuses on a particular challenge that city leaders face in hacking the SDGs—data. Gaps in data that are generated locally or disaggregated from national sources to the local level are wid...
Available in English
Project to improve the institutional capacities of local authorities in Brazil and Mozambique as actors of decentralised cooperation
Developed by United Cities and Local Governments (UCL...
Posted by Local2030
Case studies and best practices
