To showcase the use of Feed-the-Future Open Agriculture and Nutrition Datasets in agricultural research and development, IFPRI's Gender, Climate Change and Nutrition Integration Initiative (GCAN) organized the second Feed the Future DATATHON to make household-level data more accessible and interoperable with other databases, and in particular with spatially explicit, biophysical data layers.
For Bangladesh, the IFPRI team will set up an econometric model using the Bangladesh Integrated Household Survey 2011-2 and 2015-6 to test for the effect of biophysical variables like soils or weather on socio-economic characteristics of the households with a focus on climate-gender-nutrition relationships. This novel use of spatial analysis techniques can suggest policy advice tailored to different agro-ecologies and household types. The IFPRI team will adopt an explicit strategy to support researchers and policy makers who would like to explore different linkages and answer interesting policy as well as research questions. We will document the output of this process, from the raw data to the end-results, so that it can be reproduced by others.