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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

The Sustainable Development Goals Report 2017

Available in English

The Sustainable Development Goals Report 2017 reviews progress made towards the 17 Goals in the second year of implementation of the 2030 Agenda for Sustainable Development. The report is based on the...

Developed by United Nations (UN)

Posted by Fabienne Perucca

Concept notes and papers

Local Economic Development Training Module

Available in English

In order for Local Economic Development (LED) to be effective, we need to identify and consider the community’s economic strengths, weaknesses, opportunities and threats, and agree a shared strategy....

Developed by United Cities and Local Governments ASPA...

Posted by UCLG ASPAC

Tools : Capacity Strengthening

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