DataKind SF

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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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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Predicting Well Groundwater Quality Using Cloud-Based Machine Learning: DataKind San Francisco Partners with Aquaya

By DataKind San Francisco Background Access to clean water, sanitation, and hygiene (WASH) is critical for healthy and humane living conditions. Two billion people lack access to safely managed drinking water at home, according to the CDC . Access to safe drinking water and sanitation services can have life or …

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Predicting Well Groundwater Quality Using Cloud-Based Machine Learning: DataKind San Francisco Partners with Aquaya

By DataKind San Francisco Background Access to clean water, sanitation, and hygiene (WASH) is critical for healthy and humane living conditions. Two billion people lack access to safely managed drinking water at home, according to the CDC . Access to safe drinking water and sanitation services can have life or …

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Optimizing Data Pipeline Platforms: DataKind San Francisco Partners with Grameen America

By DataKind San Francisco Background How can data infrastructure be optimized to help support the financial empowerment of women? Currently, only four percent of all small business loans from mainstream financial institutions go to women, according to a report by the National Women’s Business Council. As MDRC’s recent impact evaluation …

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Predicting Poverty Using Satellite Imagery: DataKind San Francisco Shares Key Learnings

Background Access to clean water, sanitation, and hygiene (WASH) is critical for healthy and humane living conditions. Clean water and sanitation improves health and supports development in other sectors, such as education (particularly for women and girls), environmental stewardship, and the economy. Policy decisions around development and financing for WASH …

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Lessons from DataKind San Francisco’s Launch of DataAdvisory Projects

By DataKind San Francisco From financial forecasting to targeted advertisements, advancements in data collection and analysis have benefited a myriad of for-profit organizations today. Unfortunately, due to limited funds and resourcing, such benefits often don’t reach social impact initiatives. At DataKind, our core mission is to enable mission-driven organizations to …

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Improving Environmental Sensor Data Monitoring by Detecting Anomalies

By DataKind San Francisco After the Tōhoku earthquake and tsunami devastated eastern Japan and caused the subsequent Fukushima Daiichi nuclear meltdown in 2011, the public lacked accurate and trustworthy radiation information. Safecast was formed in response to democratize data access, growing quickly in size, scope, and geographic reach as its …

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