Analysis

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

Fraym CEO Testifies to Congress – Advocates for Innovation in Development & Gender Equity Policy

April 16, 2021

Fraym CEO, Ben Leo, testified at an open hearing entitled “Innovation in Development Policy: Maximizing Impact and Results” being held by the House Foreign Affairs Subcommittee on International Development, International Organizations, and Global Corporate Social Impact. Ben, along with Ann Mei Chang, Former Chief Innovation Officer and Executive Director, U.S. Global Development Lab, United States…

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Understanding TB Risk in Pastoralist Communities

March 23, 2021

Tuberculosis (TB) remains the third leading cause of death among communicable, maternal, neonatal, and nutritional diseases in Ethiopia, despite being preventable and treatable.1 While Ethiopia continues to make steady progress towards eliminating TB within its borders, lack of access to early diagnosis, treatment and HIV co-infections continue to pose significant challenges. Fraym technology mapped communities…

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Expanding Access to Water Where it Matters Most: The Impact of Climate Change on WASH in Nepal

March 22, 2021

Nepal has made great strides in improving access to water and sanitation, despite suffering a devastating earthquake and remaining one of the poorest nations in the world. Since 1990, access to improved water sources has increased from 46 to 95 percent. In reality, however, only 25% of the country’s water supply is reported to be…

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Leading Global Organizations Invest in Community-Level Data to Advance Gender Equality

March 8, 2021

Machine learning delivers long-desired insights WASHINGTON, March 8, 2021 /PRNewswire/ — In honor of International Women’s Day and the upcoming Gender Equality Forum, technology company Fraym is releasing findings from two initiatives that used cutting-edge data and AI/ML models to better understand complex issues central to gender equality. For both projects, one funded by a grant from the Bill & Melinda…

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Fighting for a Future Free of Child Marriage – How Hyper-Local Data Can Help Drive Results

March 4, 2021

Globally, there are more than 650 million women and girls that were wed as children. That’s an astonishingly big number. This means that they entered into a formal marriage or informal union before reaching the age of 18. Child marriage has a heartbreaking impact on girls’ ability to access health, education, and economic opportunities, and…

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Fraym Partners with Facebook’s Project 17: Layering Sex-Disaggregated Data Sets Expose Gender Inequalities

March 3, 2021

In order to successfully measure the SDGs, we must take into account gender disparities by both generating more data and applying advanced analytical techniques to better understand them. At Fraym, we advocate for the use of hyperlocal data for decision-making because years of work has unearthed the stark spatial differences between communities. Our hypothesis is…

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

February 16, 2021

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

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

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

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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