Peter Gluckman and Mark Hanson’s Ingenious applies concepts and metaphors from evolutionary biology to explain the impact of technological innovation on human life. A book review from the Spring 2020 issue.
How investors can generate deeper insights into social and environmental impact while bringing concrete business benefits to investees.
Pitfalls and promising practices drawn from experimentation with quality-improvement methods and performance management in health care.
Machine learning is neither a panacea nor as technically daunting as some believe. When it comes to global development, the key is to ask the right questions, and then see if and how it can help.
A case study of how public higher education institutions are successfully using predictive tools to increase graduation rates and close the achievement and opportunity gaps between low-income and underrepresented minority students and their peers.
For nearly three decades, the Electronic Frontier Foundation has led the fight to protect people’s digital rights, incubating allied organizations and offering free security tools to nonprofits. Can it continue to uphold its mission? From the Summer 2019 issue.
A look at what it takes to successfully deploy machine learning tools for social good and the most exciting opportunities ahead.
It is imperative to include customers in solving problems, but jumping straight into human-centered design misses the rich and insightful data required to shift the system and achieve better results.
Thinking about social impact measurement on a spectrum can help organizations develop a clear, evidence-based idea of how or why their programs work.
Autonomous technologies can support social services programs, but delivery must always be centered around people.
