With projects that include improving route planning through transit data, fighting disease using electronic health records, enhancing decision-making through statistics of all shapes and sizes, and data journalism that helps make sense of our world around us, the practitioners and tools of data science are transforming our world and creating new opportunities to serve the public good.
Big Data for the Public Good is a four-part seminar series hosted by Code for America in San Francisco and sponsored by Greenplum, a division of EMC. We invite you to join other thought leaders, CEO’s, data scientists, developers, designers, data journalists, and change agents in an exploration into how the big data explosion can be harnessed to address the great opportunities and pressing challenges of our time.
- January 23rd: Mike Migurski, Stamen Design, and Tom Carden, Bloom.
- March 19th: Jake Porway, Data Without Borders and the New York Times
- April 3rd : Ward Cunningham, Nike
- May 16th: Jeremy Howard, Kaggle
About Code For America
Code for America enlists the talent of the web industry into public service to use their skills to solve core problems facing our communities. Working with city managers, we help to identify projects that can benefit from web-based solutions. Code For America is all about helping American cities use web technology to do a better job of providing services to citizens
Greenplum, a division of EMC, is driving the future of Big Data analytics with products that harness the skills of data science teams to help global organizations realize the full promise of business agility and become data-driven, predictive enterprises. Greenplum celebrates the data scientists and visualization teams exploring how Big Data can create value for the public good.
When & Where
Code for America
Code for America believes government can work for the people, by the people in the 21st century.
We build open source technology and organize a network of people dedicated to making government services simple, effective, and easy to use.