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Data Tools for The California Bay Area: Actionable Intelligence for Cities to support SDG Achievement

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

Related Publications

Model of Subnational Cooperation of the Autonomous Municipal Government of La Paz

Available in English

Sub-national cooperation acquires a fundamental role for local and regional development, its intervention capacities achieve a better territorial impact and ties are established from different instanc...

Developed by Gobierno Autónomo Municipal de La Paz

Posted by Pablo Bernal Aguilar

Case studies and best practices

Learning Cities and the SDGs: A Guide to Action

Available in English

This Guide to Action highlights concrete approaches to the development of green and healthy learning cities, equitable and inclusive learning cities, and decent work and entrepreneurship in learning c...

Developed by UNESCO Institute for Lifelong Learning

Posted by Fabienne Perucca

Tools : Diagnostics

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