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.
Climate change, coupled with high levels of poverty and population density, is a substantial threat to sustainable development in Bangladesh. Climate-related threats, such as flooding, inundation, salt-water intrusion, and changes in temperatures are increasing with climate change. Achieving the goals of Feed the Future and the Global Food Security Strategy requires careful consideration of the impact of relevant climate science on agricultural production, while at the same time considering other cross-cutting issues that influence agricultural growth, poverty alleviation, and resilience—especially gender and nutrition. This policy note summarizes assessments of these linkages in Bangladesh under GCAN.
During a week-long visit in Bangladesh in January 2017, the GCAN team presented key climate-gender-nutrition linkages. Productive discussions took place between the GCAN team and USAID Mission staff on priorities and potential research topics that would inform USAID's programming in Bangladesh. The GCAN team also met with local implementing partners and stakeholders to gather information on current initiatives related to climate-gender-nutrition linkages in Bangladesh. The GCAN team and the USAID Bangladesh Mission are currently working together to move these research topics forward. GCAN presentation to Bangladesh USAID Mission slide deck
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.
To facilitate the use of Feed-the-Future Open Agriculture and Nutrition Datasets in agricultural research and development, the IFPRI's Gender, Climate Change and Nutrition Integration (GCAN) team harmonized and standardized the Bangladesh Integrated Household Survey (BIHS) (2011 and 2015, available on IFPRI Dataverse) across four key food security-relevant domains (climate, agriculture, nutrition, and gender), with the objective to make household-level data more accessible and interoperable with other databases, and in particular with spatially-explicit, biophysical data layers. The harmonization and standardization will allow users to work with the BIHS and other Feed-the-Future survey data across countries, with the same variable definitions, labels, and contents.