Measuring Gender, Development, and Land: Data-Driven Analysis and Land Reform in Lesotho
Development agencies are increasingly making decisions and evaluating success on the basis of an ever-growing supply of data. Some argue that the proliferation of data improves development outcomes for states and people targeted by agencies' interventions, as well as the accountability of those agencies. Others argue that problems of selection bias, a lack of longitudinal records, and misuse of data can ignore or even exacerbate the problems that development agencies seek to mitigate.