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
The understanding of the concept of ‘localizing’ has implications for the selection of goals and targets. While an emphasis on monitoring inequalities within countries would mean that most outcome-bas...
Developed by United Cities and Local Governments (UCL...
Posted by Local2030
Concept notes and papers
Available in English
This document collects the potential of Local Economic Development (LED) as an appropriate model to promote gender equality within the Latin American and Caribbean (LAC) region. These efforts are fram...
Developed by Programa de Naciones Unidas para el Desa...
Posted by Local2030
Concept notes and papers
