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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

Integrated territorial partnerships and the SDGs: How to leave no one behind. Conference paper conclusions

Available in English

The seminar “Integrated territorial partnerships and the SDGs: How to leave no one behind” (14th June, venue: Basque Government Delegation to the European Union- Brussels) examined how local and regio...

Developed by Basque Government- Gobierno Vasco- Eusko...

Posted by Camila De

Concept notes and papers

Capacity for the 2030 Agenda

Available in English

Under the Capacity for the 2030 Agenda Initiative, the United Nations Institute for Training and Research (UNITAR) has been developing and delivering a series of activities, e-learning courses, face-t...

Developed by The United Nations Institute for Trainin...

Posted by Local2030

Tools : Capacity Strengthening

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