Just like every major corporation today, nonprofits and governments have more data than ever before. And just like those corporations, they are eager to tap into the power of their data. But the social sector doesn’t have the same resources to attract talent. Jeff Hammerbacher, Chief Scientist at Cloudera, put it best: "The best minds of my generation are thinking about how to make people click ads. That sucks.” At DrivenData our goal is to make the world suck a little less by empowering impact organizations to get the most from their data.

Peter Bull, co-founder at DrivenData, will speak on the ways in which statistics, computer science, and machine learning can be applied to the challenges in the social sector. The talk has two parts: the first is the big-picture context of the data for good movement, and how to get involved. The second is an in-depth case study of the methods which won DrivenData’s recent machine learning competitions. In particular, these case studies cover code snippets which implement these tips in Python.