Data On Purpose | Do Good Data: Crowd Collectives to Tackle Problems at Scale
Stanford's Michael Bernstein discusses how computational systems can create collectives of experts to solve problems.
New ways to measure and evaluate the impact an organization’s work has on society (more)
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.
Social return on investment is an underutilized yet surprisingly flexible tool for making strong resource allocation decisions that maximize nonprofit impact.
Valerie Threlfall of the Fund For Shared Insight, Krystle Onibokun of the Boys and Girls Club of the Peninsula, and Brad Dudding of the Center for Employment Opportunities talk about their experience with a new program that aims to build high quality feedback loops.
Better use of evidence and developments in evaluation practice can shift the power dynamic between funders, service-delivering organizations, and service users.
How can we work together to make our vast stores of data more useful to people working in different fields and sectors?
Valerie Threlfall of the Fund For Shared Insight, Krystle Onibukon of the Boys and Girls Club of the Peninsula, and Brad Dunning of the Center for Employment Opportunities talk about building quality feedback loops.
Combining tools such as design thinking, behavioral science, and evaluation can shape programs to improve patient experiences and change health behaviors.
What can social sector organizations learn from large companies about using data to maximize impact?