Experiences in applying machine learning tools to current data from phones, drones, and satellites, as well as Geo-enabling Initiative for Monitoring and Supervision
This module introduces data collection via phone surveys and discusses the strengths and weaknesses of phone surveys compared to other modes of survey data collection. We present the main steps in...
What role is agriculture playing in household livelihoods during the pandemic? What is happening to household food security? How do we collect the data to answer such questions in the time of COVID-19?
In addition to its immediate adverse impact on women’s and girls’ health and education, the COVID-19 pandemic has the potential to further exacerbate existing gender inequalities in economic opportunities across Sub-Saharan Africa.
DT4D 1.0 winning project shows through a case study of the 2017 Puebla earthquake in Mexico, key use cases for human mobility data to inform disaster preparedness and response.