The Washington Post recently hosted the third Hacking Journalism hackathon, focused on data science. The two day event drew nearly 100 participants hailing from the D.C. area, New York City, San Francisco and Winnipeg, Canada.

Thirteen teams made up of journalists, data scientists, developers, and designers developed ideas for data science tools that either address newsroom problems or deliver new opportunities for journalism.  Some of the ideas included a reading app that functions like Tinder and a tool that helps journalists find sources on Twitter. View the full list of project ideas on Storybench.

For this event, The Washington Post  provided participants a slice of its own data, which many teams analyzed and used as a foundation for creating their prototypes.

To learn more about the hackathon and upcoming events, visit hackingjournalism.com. Search #datscihack in Twitter to follow the conversation from the event.