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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

Good Practices in South-South and Triangular Cooperation for Sustainable Development

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Good Practices in South-South and Triangular Cooperation for Sustainable Development, the first in its series, highlights Southern good practices that are relevant to the implementation of the Sustain...

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Case studies and best practices

Building a Resilient Foundation for Peace and Development - Local Governance in Fragile and Conflict-Affected Settings

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The Guide is meant to support UNDP Country Offices in countries considered as fragile or already affected by high levels of violence, instability and/or conflict (including post-conflict countries). T...

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Guidance and systemization of experiences

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