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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

Local governance for human development guide

Available in English

This guide is based on the materials for the course Local Governance and Decentralization Processes for Human Development, which was conducted as part of the PROLOGO Project - Local Governance Proposa...

Developed by United Nations Development Programme (UN...

Posted by Admin

Guidance and systemization of experiences

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

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