New methods for data analysis, such as machine learning, have been developed over the last years. Data sources are growing exponentially across the globe, including in low-income countries. However, little research exists on how this data can be used for the benefits of the poor. Any strategy to developing solutions that draw from various national and international data sets needs to be informed by the user of such data sets and tools such as global and national policy makers.
Develop tools for using various national and international data sets to more effectively target the most pressing issues of the poor and for evidence-based policy-making.
Isabel Guenther, email@example.com, Phone: +41 44 632 87 50
NADEL Center for Development and Cooperation, ETH Zürich
Target countries: Low-income countries
Cost: CHF 6 Mio
Duration: 6 years