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
Available in English
These recommendations were produced in the subgroup "Delivering Sustainable Development Goals at local and regional level" of the multi-stakeholder platform on the implementation of the SDGs in the EU...
Developed by Subgroup on “SDGs at local and regional...
Posted by Local2030
Concept notes and papers
Available in English
This study examines how high-income countries are currently performing in this regard: Are the rich countries holding up their end of the global deal on sustainable development? Are they doing their h...
Developed by Sustainable Development Solutions Networ...
Posted by Local2030
Concept notes and papers
