Is it possible to use data to make predictions without enforcing existing biases?
A new approach to scaling is needed in which the goal is scaling up social impact for public good.
The National Arts Index established a quantitative measure for arts vitality in the United States that aided public discussion by policy makers and the arts community. In the era of big data, what can we learn from its creation and impact?
Investors looking for data on social impact should start by helping investees deliver a compelling value proposition.
It’s time for nonprofits to recognize that diverse groups are more innovative and better performing, and to apply that insight to their organizations’ governing bodies.
Rhonda Evans looks at lessons from Monitor Institute’s Re-imagining Measurement initiative.
Stanford's Michael Bernstein discusses how computational systems can create collectives of experts to solve problems.
Steve Schwartz of Upaya Social Ventures, Meg Garlinghouse of LinkedIn for Good, and Corey Marshall and Splunk4Good look at real-life examples of Silicon Valley companies that are helping social sector organizations use data more effectively.
Stanford's Rob Reich and George Triantis, and Eli Sugarman of the William and Flora Hewlett Foundation's Cyber Initiative, discuss the urgent need for better understanding of cyber-social systems.