Economic Development Initiatives: Enabling Decisions Insightfully
EDI Group
The EDI Group works with some of the world’s top research institutions to design, implement, manage and support a wide range of socio-economic surveys. We have a strong depth and breadth of experience in designing and conducting rigorous impact evaluations and randomised control trials on behalf of National Governments, donors and foundations and help assess international development program impacts, measure results and evaluate potential solutions to global poverty.
We have always been very passionate about using the best tools to ensure that any data we, or our clients collect is of the highest quality standards. We therefore created the market-leading Surveybe data collection software that is now used in over 55 countries worldwide.
With permanent offices in both the UK and East Africa, our teams provide expertise, evaluation and survey design services to organisations globally, and our 200+ staff in East Africa focus their efforts on collecting data on hundreds of thousands of households, enterprises, facilities and communities per annum.
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Latest Blogs and News
Join our team! EDI has two open job vacancies
EDI now seeks a Senior Research Officer and Assistant Research Officer to work with our UK and overseas survey teams in the running of large-scale surveys and impact evaluations on health, agriculture, education and infrastructure…
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The Challenges and Opportunities for Collecting Survey Data in Sub-Saharan Africa
Guest blog post from Sarah Hughes, Senior Fellow at Mathematica, discusses how methods and fieldwork training for local data collectors, mobile device usage, and the expansion of communication networks in sub-Saharan Africa are opportunities that researchers can leverage to overcome survey data collection challenges in the region.
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An analysis of Tanzanian households’ energy choices
Closing the energy gap and ending energy poverty are explicit targets of the global agenda. In this blog post, Johanna Choumert-Nkolo, explores the nature of household energy use in Tanzania in the context of the energy ladder and stacking (fuel mixing) hypotheses.
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