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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

Setting the Scene in Asia for SDGs Implementation at Local Level: Focus on SDG 8 – Local Economic Development

Available in English

This publication is a culmination of presentations,  discussions, and lessons learned during UCLG’s “Regional Workshop on SDG Learning Agenda for Local Government in the context of South-South and Tri...

Developed by United Cities and Local Governments (UCL...

Posted by UNDP

Case studies and best practices

Localization of SDGs in Tanganyika - Provincial Report

Available in English

Developed with technical and financial support from UNDP as part of a participatory and inclusive process, this report presents the SDG priorities of the North Kivu province that rhyme with its specif...

Developed by Province de Tanganyika (RDC), UDNP

Posted by Fabienne Perucca

Case studies and best practices

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