RHoMIS is being utilised in a nutrition study led by the International Livestock Research Institute (ILRI) and the Thai Nguyen University of Agriculture and Forestry (TNUAF). The study aims to compare diet diversity data collected for the immediate past with data collected from the same household over a 12 month recall period.
Editor: In this month's blog article, we have asked Nils Teufel to share his work on a Nutrition research project in Uganda and Vietnam. The project utilises RHoMIS to look at food and nutrition security. A major focus of the research is to test diet recall and reporting accuracy over a 12 month period. The study in Uganda is beginning in August, while Vietnam began in March 2019.
I’ve worked with the RHoMIS survey for over a year now, built close to thirty applications, and worked with research teams in over twenty countries. Yet my trip to Uganda last week was my inaugural experience with applying the tool in situ. The trip gave me a first-hand experience of some of the challenges and nuances of local application of a survey.
Scientists and development practitioners around the world are working with smallholder farmers to transform their agricultural practices to better adapt to, and even mitigate, climate change. The international development community has prioritized two strategies in this regard - increasing the sale of crop and livestock products through increased market participation (commercialization) and increasing the number of crop and livestock species on-farm (diversification).
However, little is known as to the gendered impacts of these changes and specifically, whether these strategies may intensify inequalities between men and women.
Around the world, agricultural development organizations often struggle with surprisingly weak adoption of innovations that had previously been successful at other places. If all goes well, the smallholder farmers addressed by a development program readily adopt and adapt newly introduced practices, such as improved management of crops and livestock. Not so rarely, however, promising innovations do not fit with local culture, cause extra labor at times when the farmers are already extremely busy, or show other unexpected downsides in the new context.
Avoiding locally unsuitable interventions and designing better agricultural development programs by working closely with the local community is possible, of course. But participatory research can take a long time, and results are sometimes biased towards the local opinion-leaders, who are not always the most successful farmers. Could there not be a simpler way to find out “what works” under specific local conditions?
Dahari, an NGO working in the Comoros islands, aims to shape sustainable and productive landscapes with Comorian communities. This local NGO contacted the RHoMIS team in order to better understand their beneficiaries and to measure the impacts of their projects. Earlier this month, I travelled to the Comoros to train the enumerators that were going to be using the survey.
While my work typically focuses on the analysis of RHoMIS data and the development of “back-end” systems, this trip was a fantastic opportunity for me to better understand the farmers behind the data and to gain a deeper understanding of the data collection process. I wanted to write this blog to describe the effort that goes into designing the RHoMIS survey and explain the important role that enumerators play in both survey design and data-collection.
The RHoMIS blog is written by a community of practice. The COP is made up of RHoMIS users and creators from across the world. Here we share their stories of how RHoMIS is helping to record and analyse household data.