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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

Promoting Local Economic Development through Strategic Planning – Local Economic Development (LED) series Volume 3 – Toolkit: tools to support the planning process

Available in English

The Local Economic Development (LED) series is a resource for local governments, businesses and civil society organizations to help them initiate and implement local economic development interventions...

Developed by United Nations Human Settlements Program...

Posted by Local2030

Guidance and systemization of experiences

The Sustainable Development Goals are coming to Life: Stories of country implementation and UN support

Available in English

The Sustainable Development Goals are Coming to Life – Stories of Country Implementation and UN Support provides insights into the range of actions and partnerships for the roll-out and implementation...

Developed by United Nations Development Group (UNDG)

Posted by Local2030

Case studies and best practices

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