A New Model for Saving Lives on Roads Around the World
An innovative approach to traffic safety cut fatalities in half on one of India’s most dangerous highways.
Scaling Innovative ways nonprofits can increase their reach and social impact
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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.
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What the World Gets Wrong About Nonprofits
An excerpt from The Business of Nonprofit-ing on the revenue of impact.
Pacing Entrepreneurs to Success
Entrepreneurial support organizations called pacers are helping businesses in emerging markets achieve their goals by providing services for them in the long run. A blueprint for shifting to a pacer model shows how organizations can support entrepreneurs as they grow.
Open access to this article made possible by Stanford Seed.
Strategy: Go Big or Go… Oh, Just Go Big
Four steps to impact at a scale that really matters.
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How Nonprofits Get Really Big
Since 1970, more than 200,000 nonprofits have opened in the U.S., but only 144 have reached $50 million in annual revenue. They got big by doing two things: They raised the bulk of their money from a single type of funder. And just as importantly, these nonprofits created professional organizations that were tailored to the needs of their primary funding sources.
Centering Equity in Collective Impact
A decade of applying the collective impact approach to address social problems has taught us that equity is central to the work.
The Adoption of Innovation
How do innovations move from the edges to the core of what an organization does? For maximum impact, innovations must cease to be innovative and become institutionalized and normalized.
Ten Reasons Not to Measure Impact—and What to Do Instead
Impact evaluations are an important tool for learning about effective solutions to social problems, but they are a good investment only in the right circumstances.
Scaling Impact
Scaling requires not only fidelity to core processes and programs, but also constant adjustments to local needs and resources.