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Mapping Health Attitudes in Low- and Middle- Income Countries Using Novel Methods

/PRNewswire/ -- Researchers from Fraym and Johnson & Johnson co-wrote an article detailing their groundbreaking collaboration that used machine learning to...

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Announcing Fraym's New Program: Proxy Measurement of Fortified Food Coverage in Nigeria, Ethiopia, and India

/PRNewswire/ -- Fraym is pleased to announce a new two-year, $1.4 million program to produce a novel dataset measuring access to and reach of fortified foods...

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Fraym Announces Corporate Rebrand; Expanding Global Business

/PRNewswire/ -- Fraym, a technology company, today announced a corporate rebrand to reflect the business' global expansion. Ben Leo, Chief-Executive-Officer at...

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Fraym Joins With Unlock Aid to Remove Barriers for International Development Organizations

Fraym Joins With Unlock Aid to Remove Barriers for International Development Organizations
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Fraym Joins With Unlock Aid to Remove Barriers for International Development Organizations

Fraym Joins With Unlock Aid to Remove Barriers for International Development Organizations
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Leading Global Organizations Invest in Community-Level Data to Advance Gender Equality

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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
Facebook's Project 17, ML-generated data addressed a pre-existing knowledge gap and delivered critical sub-national insights.
Bill & Melinda Gates Foundation Grant
Globally, there are more than 650 million women and girls that were wed as children. Two years ago, the
global community made a clear call for localized data to help map and understand this massive barrier to gender equality across the world. Fraym responded to this call and has partnered with leading actors like UNICEF, Girls Not Brides, and the Population Council as part of a Gates Foundation supported learning consortium. Through the initiative, Fraym: (1) estimated and mapped child marriage prevalence down to the 1km2 level across time and space; (2) analyzed community contexts; and (3) explored whether and how several risk factors might be associated with higher child marriage prevalence. This was done for seven countries. Access

Nigeria , Washington , United-states , Rachael-mandell , Facebook-survey-on-gender-equality-at-home , Marketing-communications-at-fraym , Melinda-gates-foundation-grant , Melinda-gates-foundation , Health-survey , Population-council , Equality-forum , Sustainable-development-goals-sdgs

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

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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 employ advanced geospatial data and uncover insights that traditional data analysis could not reveal.
Spatial knowledge of population dynamics enables fast, precise, and comprehensive assessments—and illustrates the effects of investments on the most pressing global development needs. Fraym's founders worked in global development at the highest levels of the U.S. government, and now their original use case which identified a need for localized data, has been proven and scaled. Ben Leo, CEO and Co-Founder of Fraym reflects, "Our company is deeply passionate about and connected to the global development space. I'm humbled that our technology contributes to the missions of organizations like the World Bank and the African Development Bank."

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