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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Build the Market First, Then Fund Innovation
Scaling proven solutions to the early childhood skills gap requires building a market for parenting interventions.
Why SSIR Is Changing Our Paywall
We need reader support to sustain our mission.
SSIR Online, Spring 2026 Issue
What SSIR readers are saying about articles on innovation in trying times, data and social justice, and impact investing.
Welcome to the Era of Relational Intelligence
As AI begins to transform education, work, and social life, we need to focus on developing and expanding capacities essential for human flourishing.
The Academic Costs of Social Apps
Excessive screen time, largely spent on gaming apps, is contagious and lowers students' grades and post-graduate income, a Chinese study reveals.
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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.