In healthcare data suggests that accessibility is the second largest challenge to women seeking treatment, right after lack of financial resources to pay for medical services themselves
In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns — and in ways we won't expect or be prepared for.
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.
Having beneficiaries complete goal-setting activities in advance of receiving cash resulted in significant impacts of the behavioral nudges on both food security and child development outcomes.