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Justice by the Numbers
An innovative partnership between lawyers for the ACLU of Massachusetts and public interest technologist Paola Villarreal resulted in the single largest dismissal of wrongful convictions in US history.
An innovative partnership between lawyers for the ACLU of Massachusetts and public interest technologist Paola Villarreal resulted in the single largest dismissal of wrongful convictions in US history.
Ahead of SSIR’s 2022 Data on Purpose conference, “Putting the Public Interest Before Technology,” here’s a collection of articles and books exploring how social change leaders can advocate for technology that is designed, deployed, and regulated in responsible and equitable ways.
For technology to truly work in the public interest, we need to invest in building organizations that are free from corporate profit motives and that respect, integrate, and compensate communities with whom they work. We offer a new path forward for AI research.
Why the science, technology, engineering, and mathematics (STEM) field in the United States struggles to recruit and retain women—especially women of color—and three strategies to support their professional development and leadership in these fields.
Bringing high-tech operations into the geographical heart of excluded communities jump-starts mass participation, galvanizing economic advancement for their members while challenging accepted norms of diversity, equity, and inclusion.
Five principles based in social science that will help organizations connect their work to what people care most about.
Six pathways to making housing more affordable and available from the Ivory Prize for Housing Affordability.
A recent study found three common barriers to knowledge sharing across nonprofits and their networks, as well as ways and means to overcome them.
Two veterans of consumer psychology, marketing, and entrepreneurship provide a guide to using social media for social change.
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.