Why financing data matters more than ever
We face a paradox: the world runs on data, but even simple statistics to guide policy-makers are often nowhere to be found. Investing in statistics today is investing in our ability to respond diligently, rapidly, and appropriately tomorrow.
An Investment for the Ages: Financing Gender Data to Meet Pandemic and Development Needs
Investing in better data on women’s realities is a smart investment to enable effective decision-making — both for immediate pandemic response and for longer-term Sustainable Development Goals.
A Vaccine is Not the Only Answer to COVID-19
The world’s inability to monitor and contain the spread of COVID-19 is costing trillions. With such losses, budgets are tightening. Prioritized spending is critical. Funds and hopes are now focused on the arrival of an effective vaccine. But, once again, that won’t be enough.
Counting on the World to Act
Counting on the World to Act, published by SDSN TReNDS, is an exceptional data report covering some specific areas of data governance that have been missing from the conversation so far, including discussion of amended laws, new data officers, the digital ecosystem, and the case for investment.
Resources for Data: Transformative Opportunities?
Experts gathered recently in Washington to discuss an issue underpinning all other development issues – the gaps in data and statistics needed to implement Sustainable Developmentd Goals (SDGs). Effective policies to provide a better life for people require more and better data, but how to fund it?
Lessons Learned for Financing a Global Pact for Development Data
The UN’s Cape Town Global Action Plan for Sustainable Development Data (CTGAP) calls for urgent action on a global pact to modernize and strengthen national statistical systems in lower-income countries where, despite being under-resourced and under-staffed, they face increasing demands from data users and increasing needs to measure SDGs.
OECD Outlines Six Data Actions for Sustainable Development
Achieving the Sustainable Development Goals hinges on harnessing evidence, technology, and data science. A new Development Co-operation Report 2017 from OECD provides a holistic view of data-driven development and identifies concrete actions to advance the job of improving the quality of data and statistics.
Sustainable Funding for Statistics Off to a Slow Start
The Sustainable Development Goals place new demands on the statistical systems of developing countries, but support for building sufficient capacity is lagging behind.
Ending Poverty Needs Better Data
The World Bank’s recently released poverty report, Ending Extreme Poverty and Sharing Prosperity: Progress and Policies, brings news that the rate of extreme poverty in the world declined again in 2012, reaching a global average of 9.8 percent of the world’s population, although a more relevant figure places it at 15.7 percent of the population in “developing” countries.
Stuffed and Unstuffed: A Comment on Chandy & Zhang
Recently published estimates by Brookings Institution researchers Laurence Chandy and Christine Zhang of the funding needed to produce indicators for monitoring SDGs appears to demonstrate that other cost assessments are far too high. But the analysis leaves out elements and runs the risk of creating complacency over the need for serious, continuing investments in the statistical capacity of developing countries.
Many Questions, Many Answers
Two questions — “What is the data revolution?” and “How is it affecting people’s lives?” — lead to many more questions. The world is generating data at an ever increasing rate. What is it good for? Who benefits? Will poor countries be left out?
A Pivotal Moment in Addis Ababa
Representatives of the international community met in Addis Ababa (12-16 July 2015) for the Third Financing for Development Conference. This meeting is a pivotal moment for the post-2015 agenda and the Data Revolution for Sustainable Development.
Costing the Data Needed for New SDGs
Developing a clear estimate for the scale of resources needed for the statistical capacity of countries to produce the needed data for the new Sustainable Development Goals (SDGs) is critical. Up to now, it has been a guessing game to a large extent, but now a team of development data experts has done a comprehensive assessment.