Recently, Domino for Good hosted the inaugural meetup of the new group Data for Good. Over 40 data do-gooders came to see Peter Bull of DrivenData deliver a wonderful talk titled Crowdsourcing Data for Good.
Peter’s talk addressed how statistics, computer science, and machine learning can be applied to the challenges in the social sector. He gave the big-picture context of the data for good movement along with advice on how people from a variety of backgrounds can get involved. He also talked about two new DrivenData competitions. The goal of the first competition is to identify fish species using machine learning to help protect groundfish in New England, and how it is a compelling problem for using deep learning with video data. The second is a new kind of competition where contributing pull requests to an open source project earns competitors points toward a $100k prize pool. The aim of this challenge: put deep learning at the fingertips of radiologists.