Palgrave Communications, an affiliate of Nature, has published an article by the Converting Geospatial Observations into Socioeconomic Data project lead Jesús Crespo Cuaresma and his colleagues. The article focuses on their efforts to assess the potential future trends in poverty as a means of monitoring progress toward the fulfillment of the Sustainable Development Goals (SDGs) set forth by the United Nations. Crespo Cuaresma et al. have developed an econometric tool that provides a methodological framework to carry out projections of poverty rates worldwide and aims at assessing absolute poverty changes at the global level under different scenarios. The framework builds upon the combination of new estimates of the worldwide distribution of income and macroeconomic projections of population by age and educational attainment level, as well as income per capita, which have been recently developed in the context of climate change research.
The research is being undertaken in conjunction with the World Data Lab (WDL), an economist-founded organization dedicated to deploying new methods in data collection, data curation and dissemination, laying the groundwork to advance social and economic research on poverty in the most underdeveloped regions worldwide. Included in these efforts is the Converting Geospatial Observations project, which NOMIS is supporting. The project aims to develop the first-ever sub-national income model for Kenya. Jesús Crespo Cuaresma is head of the Institute of Macroeconomics at the Vienna University of Economics and Business.