Statistics without Borders and other humanitarian organizations have been consolidating data on West Africa in hopes of better understanding the Ebola epidemic, and they need data scientists of all kinds to discover patterns relating to the spread of the epidemic. HackEbola is a data hackathon to address this important need.


You'll be provided time-series of Ebola cases, as well as a large amount of structured information about various regions.  The goal is not only to be able to predict cases, but to also determine what factors are important for good prediction (and ideally actionable!).

Image kindly provided by Standby Task Force


Northwest Building, Harvard University (52 Oxford Street)


* Nov. 17: Data made available

* Nov. 21, 5pm: Kickoff

* Nov. 23, 4pm: Closing of the hackathon

(but the analysis can continue!)

Sign up here AND register on ChallengePost (the google form is being used to count attendance for logistics; all technical discussion once the event starts will be on ChallengePost).

You can have a team in mind or form one at the event.  Everyone is welcome, so feel free to forward to your friends.