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The GiveDirectly Blog

Read updates from our team on the latest research, program learnings, and more.

All posts Donation Info Operations Opinions Recipients Research The Future of Cash Uncategorized
How to explain AI/ML across the digital divide
Operations  · January 27, 2025

How to explain AI/ML across the digital divide

Rethinking efficiency to better reflect our diverse cash programs
Operations  · November 25, 2024

Rethinking efficiency to better reflect our diverse cash programs

America’s $30B/year aid agency is embracing direct cash to reduce poverty
Research  · November 19, 2024

America’s $30B/year aid agency is embracing direct cash to reduce poverty

Direct cash looks 3-4x more cost-effective in a new GiveWell assessment
Research  · November 12, 2024

Direct cash looks 3-4x more cost-effective in a new GiveWell assessment

How GiveDirectly prevents, addresses, and reports risks
Operations  · September 23, 2024

How GiveDirectly prevents, addresses, and reports risks

Which U.S. cash programs work the best? We don’t know yet.
Operations  · September 16, 2024

Which U.S. cash programs work the best? We don’t know yet.

Direct cash model offers lesson in leadership & humility
Opinions  · August 6, 2024

Direct cash model offers lesson in leadership & humility

GiveDirectly pursues greater impact as Nick Allardice joins as President & CEO
Operations  · August 5, 2024

GiveDirectly pursues greater impact as Nick Allardice joins as President & CEO

What we make of null and negative results from U.S. cash programs
Opinions  · July 17, 2024

What we make of null and negative results from U.S. cash programs

GiveDirectly’s approach to responsible AI/ML
Operations  · July 8, 2024

GiveDirectly’s approach to responsible AI/ML

MrBeast gives $200,000 directly to people in poverty
Recipients  · June 16, 2024

MrBeast gives $200,000 directly to people in poverty

Survey: fewer people support direct cash transfers than you may think
Research  · June 11, 2024

Survey: fewer people support direct cash transfers than you may think

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