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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

Incorporating local authorities ODS Spanish from the analysis of the legal nature of the Agenda 2030

Available in English

In the paper published in the REALA Magazine in Spain, the role of municipalities in the implementation of ODS in view of the legal system is analyzed, since the content of most of the ODS are part of...

Developed by FUNDACION MUSOL (MUNICIPALISTAS POR LA S...

Posted by Rafael Garcia Maties

Concept notes and papers

Orientation guide for political organizations and citizens

Available in English

The guide is formulated with the aim of serving as a practical tool so that political parties can guide the construction of their 2018-2022 government programs, in a manner articulated with the 2030 A...

Developed by Programa de las Naciones Unidas para el...

Posted by Local2030

Tools : Strategies and Plans

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