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, 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.
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?
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.
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.
The Sustainable Development Goals place new demands on the statistical systems of developing countries, but support for building sufficient capacity is lagging behind.
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.
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.
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?
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.