Humanitarian Action

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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