Real world use cases of Fraym's unique data and insights.

M&E Series Part 3 of 3: ML-Powered Spatial Data Transforms Your Adaptative Management Techniques

February 16, 2021
Datafraym showing Target Pastoralist households in Kishapu Shinyanga

The operating environments of many development programs can be fluid, with unforeseen global and local challenges rising and falling over the course of a multi-year initiative. Within the past year alone, the emergence of COVID-19 has upended implementation strategies designed in a pre-pandemic world. Responsive MEL programming  can reveal not just an activity’s impact but…

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International Day of Zero Tolerance for FGM: Applying ML data to target programs

February 10, 2021
Map of communities with access to media channels in Sikasso Mali

Fraym’s local-level data can target programming where impact is greatest: at the community level. In light of the International Day of Zero Tolerance for Female Genital Mutilation (FGM), Fraym examined how local-level insights can accelerate efforts to end FGM worldwide. Prevalence of FGM has and can be reversed with increased awareness of its lasting damage…

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M&E Series Part 2 of 3: Adding New Dimensions to Geospatial Impact Evaluations

January 12, 2021
Maps of Ghana showing changes from 2008 to 2014 in school enrollment, Adult nonfarm employment, car ownership, and female health facility visits

Quantifying impact and change over the course of a project can prove challenging, especially when primary data collection is difficult. Increasingly, international development organizations are turning to advanced types of data and analysis that offer faster, more comprehensive insights than traditional approaches. For example, the use of machine learning (ML) can radically transform evaluations by…

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Machine-learning data helps global development organizations monitor & evaluate programs

December 16, 2020
Cision PR newswire logo

Technology company Fraym partners with the World Bank & the African Development Bank WASHINGTON, Dec. 16, 2020 /PRNewswire/ — Data generated by machine-learning is now being used by preeminent international development organizations to inform programmatic evaluations and to help them make data-driven decisions. Fraym, a technology company, recently worked with the World Bank and the African Development Bank to…

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M&E Series Part 1 of 3: Geospatial Data for Baseline Assessments and Contextual Analysis

December 8, 2020
Men carrying boxes along railroad tracks in the Democratic Republic of Congo

Today’s operational constraints to data collection – rising conflict, rapidly spreading communicable diseases, and environmental disasters – can be alleviated with advanced geospatial data. We use machine learning to help organizations understand communities that are difficult to access and have large data gaps. Our algorithms produce a wide range of datasets that cover population characteristics…

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Fraym Partners with the World Bank – Three ways geospatial data can help Pakistan During COVID-19

November 20, 2020
Map of Pakistan showing rates expected socioeconomic impact due to Covid 19

Guest Blog The social and economic footprint of the COVID-19 pandemic has put enormous pressure on decision-makers to respond quickly and efficiently. As the virus spreads rapidly, identifying most at-risk communities and providing targeted social assistance and prevention measures can be challenging.  Combined with statistical modeling and machine learning tools, satellite imagery and survey data…

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Armed groups take advantage of resource shifts amid pandemic

October 8, 2020
Map of nigeria showing the proportion of individuals in households with access to unimproved water sources

By Judd DevermontSenior Fraym Advisor Current director of the Africa Program at the CSIS National intelligence officer for Africa from 2015 to 2018 Central Intelligence Agency’s senior political analyst on sub-Saharan Africa from 2013 to 2015 National Security Council director for Somalia, Nigeria, the Sahel, and the African Union from 2011 to 2013 The COVID-19…

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Mali Coup: Understanding Unrest Using Machine learning

September 21, 2020
Map showing the decrease in employment among young men in the City of Gao, Mali

The recent coup in Mali prompted us to look again at the data and tools we previously built to anticipate localized instability in the country. Below, we illustrate how our data and approach can be used to understand the driving factors behind unrest at a neighborhood level – and in an increasingly unpredictable Mali, to…

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How Fraym Has Helped Organizations Respond to COVID-19

September 9, 2020

Understanding a community’s unique vulnerabilities and resiliencies is critical to prepare for and respond to disease outbreaks. Unfortunately, population information and health data is often only available at aggregated levels that obscure health disparities between key populations, small towns, and neighborhoods. COVID-19 has affected communities around the world in strikingly different ways, laying bare the…

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We Have Moved!

July 6, 2020
We have moved to Clarendon

We are excited to announce that Fraym is doubled the size of our headquarters and moved Arlington, Virginia on August 1.

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