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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

Getting Started with the Sustainable Development Goals: A Guide for Stakeholders

Available in English

This guide is a first and preliminary guide on how to “get started” with implementing the Sustainable Development Goals (SDGs). It aims to help stakeholders, including governments at all levels (natio...

Developed by Sustainable Development Solutions Networ...

Posted by Local2030

Guidance and systemization of experiences

Final report - Regional Conference “Social Inclusion and (Re-)Integration through 2030 Agenda and SDGs” Brdo, Slovenia, 17-18 April 2018

Available in English

The “Regional Conference on social inclusion and (re)integration through 2030 Agenda and SDGs”, took place on 17 and 18 April 2018 in Brdo, Slovenia focusing on the challenges in bringing 2030 Agenda...

Developed by Network of Associations of Local Authori...

Posted by UN-Habitat Local

Concept notes and papers

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