March 23, 2016
Data is a good thing, and as we know you can never have too much of a good thing, right? And as Bernard Marr asks in his recent piece, “bigger is always better, right?” As big data continues to grow and become more easily accessible, Marr raises the...
March 9, 2016
Released this month, the study “Ebola: A Big Data Disaster,” written by Sean McDonald with the support of the Open Society Foundation, Ford Foundation, and Media Democracy Fund, leaves no stone unturned as it explores the use of Big Data in the form of Call Detail Record (CDR) data in...
March 7, 2016
We’ve seen the headlines: the San Francisco Bay Area is experiencing a serious housing crisis. As of August 2015, San Francisco, San Mateo, and Marin counties had median home prices of $1.35 million, $1.3 million and $1.2 million, respectively. A buyer in these three counties would need to make...
February 12, 2016
This week Stanford Social Innovation Review hosted the two day Data on Purpose conference, giving “data geeks” a chance to explore the realm of using data to tell stories in the social sector. The conference featured an impressive lineup of journalists, technology innovators, computer scientists, data visualization designers, and...
November 30, 2015
In part two of a two-part series, Lucy Bernholz shares her thoughts on #GivingTuesday, data, and giving in the digital age.
November 24, 2015
In the age of over sharing, is there a way to leverage our penchant for bulk data collection to make positive changes for the greater good? This was the same question posed by researchers at Kaiser Permanente, W.K. Kellogg Foundation, and Network Impact. Researchers concluded the social sector should...
October 22, 2015
Language for a system that collects as little data as possible from users.
Language for a system that collects a lot of data from users.
Outlines data collection and use from a human rights perspective. Provides a description at each stage of the data lifecycle.
September 24, 2015
The big idea behind the Markets for Good community is that the effective use of program results data across sectors would improve programs, make it easier to direct money to the most effective programs, and improve the lives of the vast number of people served by nonprofits. This...
