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 document presents the results of the process coordinated by ILPES, together with the governing bodies of the planning of the region. It is structured in eight chapters. In the first, the main ant...
Available in English
This policy brief was written in the framework of the Second Mayoral Forum on Human Mobility, Migration and Development. It highlights the importance of connecting the impact of migration in local dev...
Developed by Joint Migration and Development Initiati...
Posted by Joanne Irvine
Concept notes and papers
