Rewriting the Future: A Latino Prosperity Movement
Latino philanthropists, entrepreneurs, and technology innovators are establishing important building blocks for the creation and strategic deployment of Latino wealth.
Technology Innovations in technology that serve the world
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The Algorithms of Fear
Many media companies are using algorithms this US election year that are having the effect of accentuating people’s differences and stoking their fears. Is it time for social innovators to build new tools that help promote a more tempered, consensus-based discourse?
Excerpt
Delivering on Digital: The Innovators and Technologies That Are Transforming Government
This excerpt from the newly released book Delivering on Digital looks at how the government in New South Wales, Australia, has used digital technologies and human-centered design to build a welfare system centered around individual children.
Three Things Great Data Storytellers Do Differently
The true power of data comes from conveying the “so what” behind the numbers, inspiring people to probe new questions, and using it for rigorous statistical inquiry.
Video
A Connected World
Pierre Omidyar, co-founder of the Omidyar Network, discusses why he is optimistic about the “age of connectedness” and how increased connection has changed basic expectations about how society gets things done.
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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.