2018

  • Monitoring the SDGs by Means of the Census

    By Tom Moultrie, University of Cape Town Population-related elements are present in approximately 40% of the SDG indicators. Without appropriate, accurate, and timely data, framed by the principle of ‘no-one left behind’, our ability to monitor progress towards meeting the Sustainable Development Goals will be constrained. The challenges of collecting and employing such data will […]

  • Process Brief: Getting the Most out of SDG Data Investments

    This process brief summarizes challenges and key learning from the creation of the Living Manual for Increasing Value by Focusing on Decision Needs and Portfolio Function. This brief also includes lessons for future research and data system design.    

  • Open Algorithms: Participatory Design for Data Projects

    Prepared by Julie Ricard, Data Pop Alliance The Open Algorithms (OPAL) project is a socio-technological innovation to leverage private sector data for public good purposes by “sending the code to the data” in a privacy-preserving, participatory, commercially sensible, scalable and sustainable manner. OPAL’s core element consists of an open platform and algorithms that can be […]

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2017

  • Getting the Most Out of SDG Data Investments: A Living Manual for Increasing Value by Focusing on Decision Needs and Portfolio Function

    By Marc Levy, CEISIN The right high-functioning data system can upend the way a policymaker approaches a decision for sustainable development. When it comes to data system design, the options– and costs– for decision makers are constantly increasing. What is needed is a useful, and user-friendly, set of criteria to help prioritize investments of financial […]

  • Monitoring Progress to Achieve SDG 8 in Baltimore

    During the consultative process in Baltimore, stakeholders identified “Percent of Residents Earning a Living Wage” as a relevant indicator to set and track targets for SDG 8 (Decent Work and Economic Growth) in Baltimore.  While the political support was there for the increase in the minimum wage, the percent of Baltimore’s population that was earning […]

  • Metropolitan Planning and Governance in Brazil: How the use of SDG data can help to deliver better results in public administration

    In Brazil, urban areas are characterized not by individual cities but as metropolitan regions, often grouping together millions of citizens across the borders of multiple municipal governments. Currently, Brazil has more than 90 metropolitan regions, totaling nearly 100 million inhabitants, distributed in more than 1,300 municipalities. Nevertheless, metropolitan-focused policies in Brazil have been off the […]

  • Finding Sustainable Data Sources to Track Evictions to Monitor Progress for Achieving SDG 16

    During the consultative process to identify locally-relevant SDG indicators for Baltimore, it became clear that not only was there no consensus of which justice-related indicators were most relevant in Baltimore, but also few (if any) datasets existed to track potentially chosen indicators over time. In fact, the Vital Signs report itself was deficient in the presence […]

  • Data Tools for the California Bay Area: Actionable Intelligence for Cities to Support SDG Achievement

    This Subnational SDG Strategies brief outlines the Stanford Sustainable Urban Systems Team’s preliminary progress in developing indicators for the local reporting platform, temporal and spatial scale comparisons for the data dashboard, and Esri Story Maps for local community groups as part of the marketplace of decision-making tools. The brief also lists strengths, weaknesses, and lessons from […]

  • Reconciling polycentric administrative data: Improve drinking water security in rural Bangladesh

    Ensuring safely managed drinking water for everyone is a global priority. In pursuit of the Millennium Development Goals (MDGs), the country of Bangladesh achieved nearly universal access to improved sources of drinking water. (WHO/UNICEF 2017) However improved access targets have long been overshadowed in Bangladesh by uncertainties around water quality and safety, which in turn […]

  • Counting on the World

    There is no one right way to go about harnessing the data revolution for sustainable development, and there is not one perfect statistical system. The process of bringing on board a wide range of actors, each using different methodologies and approaches to produce, analyze, curate and disseminate data, will be messy and challenging. This report from SDSN’s Thematic Research Network on Sustainable Development Data provides an independent view on how national systems should evolve in order to accommodate this change.

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2013