Melissa DiLoreto

DataKind + Sanima: Using data science to expand safe sanitation solutions for a cleaner, healthier Lima  

Sanima, a Peruvian nonprofit, is pioneering sustainable, safe, and dignified sanitation alternatives in Lima. To help improve their service delivery and scale their vital services, DataKind partnered with Sanima to optimize waste collection routes, using (and enhancing) our Container-Based Action Routing Tool (CART). Meeting the unique needs of sanitation in complex urban environments, our collaboration […]

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DataKind GenAI Learning Circles: Driving data maturity and social sector community

Recognizing a growing demand for AI-driven capacity building in the social sector, DataKind launched Learning Circles to equip social impact leaders with practical tools and knowledge. This collaborative effort fosters peer-to-peer community learning, enabling social impact organizations to tailor data strategies to their unique needs. By pairing participants with seasoned data experts, DataKind Learning Circles

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Humanitarian Data Insights Project: Using generative AI to streamline data access and use for humanitarian action

Leveraging generative AI to transform how data is used for humanitarian action, DataKind, Save the Children, and Microsoft launched the Humanitarian Data Insights Project (HDIP). This groundbreaking initiative enables humanitarian workers at all levels of data maturity to generate insights from complex data through a unique application of large language models, helping to make faster,

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DataKind + Gavi Report: Leveraging AI and data science for equitable and efficient vaccine coverage

DataKind and Gavi, the Vaccine Alliance (Gavi) released a report on leveraging AI and data science to enhance vaccine coverage and address access disparities, which persist despite global advancements in vaccine technology and distribution. The outcome of an almost year-long partnership with Gavi, and funded by Wellcome, the report provides a comprehensive look into the

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DataKind + Swahilipot Hub Foundation: Using data science to tackle youth unemployment in Mombasa

By Christopher Apollo, Project Manager, DataKind DataKind partnered with Global Opportunity Youth Network (GOYN), and its anchor partner in Mombasa, Kenya, Swahilipot Hub Foundation, to explore the power of data science and AI in providing an innovative solution to match “opportunity youth” (young people aged 18-35, who are out of school, unemployed, or working in

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BanhJi Case Study: Developing a Financial Performance Score to Empower Cambodian Farmers

In low and middle-income countries, savings groups play a crucial role in fostering financial inclusion and empowerment, especially among rural communities. These self-managed financial systems provide farmers with access to savings, credit, and financial literacy. However, challenges such as over-indebtedness and limited access to formal financial services persist, hindering the economic well-being of farmers.  Recognizing

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Unveiling the Harvest’s Potential: AI Empowers Coffee Farmers, Improves Coffee Quality 

By DataKind San Francisco DataKind San Francisco partnered with TechnoServe and students from Carnegie Mellon University – Africa on a groundbreaking solution – an AI-powered coffee cherry quality assessment. The app acts as a personal AI assistant for farmers, guiding them towards higher incomes and better quality coffee, building a more equitable and sustainable coffee

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Identifying Opportunities for Investment in Black-Owned Businesses

Leveraging insights produced during the development of the Racial Wealth Equity Database, and with the generous support from Google.org, DataKind and the Black Wealth Data Center expanded their partnership to create a powerful tool that integrates key indicators and helps to facilitate access to funding for Black entrepreneurs.  At DataKind, we recognize the profound connection

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DataKind SF + Starting With Today: Capturing community impact through optimized survey assessments

By DataKind San Francisco DataKind San Francisco partnered with Starting with Today on a data advisory project to streamline how they measure the economic and social impact of its programs through improved survey assessments. Previously, DataKind DC worked with SWT on a DataCorps® project on building data maturity for community empowerment. Through these collaborations, DataKind

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