The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development. These are that (1) in a global crisis, the shifting value of data creates policy pitfalls; (2) predictions of crises and how they play...

This paper provides a preliminary assessment of COVID-19's impact on global poverty in the light of the IMF's April 2020 growth forecasts. The analysis shows that the pandemic will have dramatic consequences, eroding many of the gains recorded over the last decade in terms of poverty reduction....

This paper makes a set of estimates for the potential impact of the COVID-19 pandemic on poverty incidence, intensity, and severity in developing countries and on the distribution of global poverty. We conclude there could be increases in poverty of a substantial magnitude-up to 400 million new...