Deena Mousa
Researcher and Grantmaker, Coefficient Giving
Deena Mousa is a researcher and grantmaker on the Cause Prioritization team at Coefficient Giving (formerly Open Philanthropy). She joined Coefficient Giving in January 2024 as the chief of staff for Global Health and Wellbeing, and was also the interim lead researcher for the Cause Prioritization team before her current role.
Prior to starting at Coefficient Giving, Deena was a consultant at McKinsey & Company, where she advised clients primarily in the life sciences and public health sectors. She is also a freelance journalist, with articles published in The Economist, Scientific American, National Geographic, among other outlets, and writes a regular newsletter. Deena graduated with a B.A. in ethics, politics, and economics from Yale University.
Recent work by Deena Mousa
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The development economics of AI: Lessons & questions
What we learned from our series on AI.
Published 24.03.26
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AI, India, and the future of service-led growth
Raghuram Rajan discusses how India's economy grew through services exports, why that model may be more resilient to AI than critics assume, and what policymakers need to get right on human capital, universities, and digital access to stay ahead.
Published 10.03.26
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Technology diffusion: The role of venture capital, universities and China
Josh Lerner discusses why there is a gap between innovation and impact, and how policymakers can speed up technological diffusion.
Published 03.03.26
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Thinking like an economist about AI, labour markets, and AGI
How do economists think about the economic impacts of AI today? And will our current economic paradigm still make sense if we reach AGI?
Published 17.02.26
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AI in Africa: Barriers, opportunities and policy
Can AI take off in Africa? Rose Mutiso joins us to discuss the need for an energy and digital infrastructure revolution on the continent, and how to make it happen.
Published 10.02.26
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AI and the industrial revolution: Similarities, differences and lessons
How did society change during the industrial revolution? Are there lessons we can learn for the AI revolution?
Published 05.02.26
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Economists vs Technologists on AI
Why do economists sound so different to technologists when discussing the impacts of AI?
Published 03.02.26