Data for Change
Data Without Borders matches tech-savy volunteers with organizations instead of data analysis.
Data Without Borders matches tech-savy volunteers with organizations instead of data analysis.
Focusing on unmet needs, healthcare entrepreneurs provide their in-the-trenches perspectives on advancing medical technologies. Working to extend and enhance lives.
A follow up to the recent post "Some Questions About Udacity."
Artificial intelligence professor Sebastian Thrun quits Stanford to create a for-profit online university.
The more we share our data with each other inside and outside of our organizations, the more data-driven we can be in our work collectively.
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.