Technology
Knowledge Is Human
Why building a trusted information ecosystem requires building a community.
Technology Innovations in technology that serve the world
Technology
AI for Social Good
We need rigorous impact evaluations of AI in the social sector to ensure that it promotes social welfare.
Health
Making Health Innovations Thrive in Africa
Many hurdles stand in the way of successful innovation. The case of Zipline, an autonomous drone delivery platform, demonstrates many of the pitfalls of the dominant modes of development in Africa, along with some potential solutions.
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A Path Through AI Overwhelm
Many social impact leaders feel pressure to engage with AI but are overwhelmed and lack a clear starting point. Four fundamental questions can help frame early conversations, grounding AI strategy in purpose, organizational capacity, and values.
SSIR Online, Summer 2026 Issue
What SSIR readers are saying about articles on artificial intelligence, charitable giving, and navigating organizational disagreement.
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Education for Thriving Careers
What the research says about education, jobs, AI, and what students will need to succeed as future workers and citizens.
Supercharging Network Intelligence
How network organizations can use AI to better understand and support their members in real time.
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The Science of What Makes People Care
Five principles based in social science that will help organizations connect their work to what people care most about.
Innovative Solutions for the Housing Crisis
Six pathways to making housing more affordable and available from the Ivory Prize for Housing Affordability.
The Challenge of Organizational Learning
A recent study found three common barriers to knowledge sharing across nonprofits and their networks, as well as ways and means to overcome them.
The Dragonfly Effect
Two veterans of consumer psychology, marketing, and entrepreneurship provide a guide to using social media for social change.
The Case for Causal AI
Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.