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Why data is one of the biggest challenges to leveraging AI for social good—and how the social sector can address it
Why data is one of the biggest challenges to leveraging AI for social good—and how the social sector can address it
How AI-driven text and voice analysis can transform impact investing strategies.
How systemically minded philanthropy can reflect, review, and refine portfolios for scalable impact
There will always be a gap between need and funding in the humanitarian sector. How can we do more for the hundreds of millions of people who need aid? We need to maximize impact for every dollar spent.
Without mechanisms for incorporating disconfirming evidence, grantmakers miss the opportunity for greater impact.
Artificial intelligence has enormous potential to help humanity fight climate change. These organizations are already showing the way.
How can organizations quantify the impact of the train-the-trainers model? A pioneering new study from a health-care nonprofit offers a template.
Despite widespread acceptance in impact investing of the need for reliable impact data, funding for producing it lags behind.
An excerpt from Next Generation Evidence on building social impact through a broader and more inclusive definition of evidence
A new data-based initiative is helping businesses measure the racial equity of their workforce and take steps to improve it.