Job Description

Job description

To feed its growing population amid climate change and other challenges, the developing world needs a food system, that is nutrition sensitive, efficient, safe, healthy, and environmentally sustainable, as well as promotes economic and human capital development. This requires bringing modern technologies to local communities, helping to acquire the relevant know-how, and building strong partnerships and institutions. Developed countries around the world can play important roles in these efforts and Japan is one of them. We show how Japan can lend its expertise to improve food and nutrition, health, industry and education in the developing world by examining the transferability of Japan’s advanced technologies, know-how and institutional innovations to the developing world.

International Food Policy Research Institute (IFPRI), under the financial support through the Japanese Government’s FY2025 Supplementary Budget, implements the project “Lighting Up Home to Boost Learning and Livelihoods in Refugee Hosting Communities in Northern Uganda”.

Uganda is the largest refugee-hosting country in Africa. The intervention introduces 3,000 off-grid solar lanterns, developed by Panasonic Inc for its corporate social responsibility activities, to support children and families in refugee hosting communities and refugee camps. With solar lanterns chargeable in daytime, time allocation and daily activities will be less constrained by daylight hours, i.e., home production frontier will be shifted outward to create more opportunities for many activities. For example, children can study after sunset and parents can work too and therefore the opportunity set for them will be expanded. Lights will increase both quality and quantity of time. The intervention will take place in families whose children are P7 students enrolled in primary schools in Aruna and Yumbe Districts. The above innovation is expected to have positive impacts on the educational outcomes of children, the productivity and income generation capacity of adults, and the overall welfare of the household, for example, through improved indoor air quality by replacing kerosene lamps.

There are 40 target schools located in Odupi, Omugo, Odravu, and Lori areas, to be identified by World Vision. Target schools are categorized into group A: far from settlement border, group B: close to the border and group C: inside the settlement area. There are 25 treatment schools and 15 control schools, randomly selected with respect to the three groups. In each school, 40 students are randomly selected from P7 class. The total sample size is 1,600 P7 students in the sample (1000 in treatment schools and 600 in control schools). Household survey covers coresident children (mostly, siblings and cousins) of the sample students (approximately 6,200 children under the assumption of 4 children per sample student).

IFPRI is seeking qualified consultants who can collect data following the above framework in refugee hosting communities and refugee camps in northern Uganda. Tasks include (i) listing P7 students who attend in the target schools, identified by World Vision, (ii) sampling, (iii) baseline survey, (iv) monitoring the use of solar lanterns with support from World Vision, and (v) endline survey.

Scope of work

List P7 students who attend in the target schools identified by World Vision
Sample P7 students in consultation with IFPRI team
Conduct baseline survey
Monitor the use of solar lanterns with support from World Vision

Deliverables

List of P7 students in the target 40 schools
Final sample
Baseline data
Monitoring data
Endline data

Required qualifications of the consultant

Demonstrated outstanding experience in conducting household surveys in the target refugee hosting communities and refugee camps
Demonstrated outstanding quality of data collected
Partnership with the national and local governments in Uganda
Excellent communication and interpersonal skills

Preferred qualifications

Excellent tracking records in conducting household surveys and assuring high data quality
Demonstrated experience in the target areas
Demonstrated experience in managing field operations
Proficiency in English and local language

Requirements in the application