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.
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.
How can we work together to make our vast stores of data more useful to people working in different fields and sectors?
What can social sector organizations learn from large companies about using data to maximize impact?
Hal Varian, chief economist at Google, discusses methods of big data analysis that can indicate not just correlation but also causality.
Andrew Means of Uptake and Stanford’s Lucy Bernholz talk about how nonprofits and foundations can take advantage of digital data and infrastructure in an ethical way.
Data experts consider the compelling ways in which organizations can use data visualization to assess impact, fundraise, and display outcomes.
Experts discuss how Aspire Public Schools used data to build accountability, leadership, and capacity.