At Fields of View, we build computational models to improve public policy-making. Such models examine, the linkages between the macro and the micro; and temporal effects, that include the immediate impact (short-term events such as evictions, floods, etc.) and slow-impact long-term events (such as inter-generational migration, poverty alleviation schemes, housing programmes, etc).
In order to build such models, we rely on a wide variety of data,
This repository makes available different datasets that we have collected, used and relied on for our work. In addition, some of our partners have generously agreed to share the data.
As an example, we have been working on a model to understand affordable housing in India. Inadequate affordable housing is a well-documented problem in India and across South Asia. What is not well understood though is how affordable housing programmes and policies affect the urban poor, so that we can improve both the efficacy and delivery of such programmes.