Women and the Future of Work
The strategies companies and policy makers are designing to address the changing nature of work need to include a gender lens if they are to help foster the economic empowerment of women.
Technology Innovations in technology that serve the world
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Three Cheers for Regulation
During the Industrial Revolution, labor organizations, social movements, the media, and government came together to rein in big business, providing lessons on how to regulate firms of today like Facebook, Amazon, and Google, writes SSIR's editor-in-chief in an introduction to the Summer 2019 issue.
A Moonshot to Restore Artic Ice
The nonprofit is developing a solution to restore and preserve Arctic sea ice by spreading sandlike silica microspheres in strategic locations to reflect sunlight and heat. From the Summer 2019 issue.
Fail-Safe Keeping of Personal Records
The MyPass Austin project aims to help people experiencing homelessness by using blockchain technology to secure their personal documents. From the What's Next department of the Summer 2019 issue.
Queer Activism Goes Online
Astraea’s CommsLabs program combines indigenous knowledge, technology, and healing practices to power the next wave of LGBTQI organizing. From the Summer 2019 issue.
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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.