HackEbola @ UMass-Amherst (Nov 21-23)
Join western Massachusetts data scientists, statisticians, and digital humanitarians for a weekend-long hackathon event focused on wrangling data to gain new insights into the current Ebola outbreak in West Africa.
Logistics and Schedule
These are the central datasets for HackEbola.
This event will be held at UMass-Amherst in the Lederle Graduate Research Center Room 1634. The detailed schedule is available as a PDF. The schedule includes the following highlights:
- 5:30pm Friday, Nov 21: Opening workshop, team formation
- 1pm Saturday, Nov 22: HackEbola team check-in, status updates, lunch
- 3pm Sunday, Nov 23: HackEbola symposium, team presentations
Participants will be encouraged to work in teams at the UMass campus on Friday night, Saturday, and Sunday. Snacks, beverages, and lunches will served free of cost to participants.
Anyone is welcome to participate, but please register in advance, so we know how many participants to plan for!
Slides from Friday’s presentations:
- Nicholas Reich on the challenges in forecasting infectious diseases
For those interested in learning more about ebola or seeing data on the current outbreak, here are some places to start:
- CDC website on Ebola
- Science: Special Collection on Ebola
- Recent New England Journal of Medicine article
- Humanitarian Data Exchange
- Simon B Johnson’s Ebola Resources
- Shaman Group’s Ebola Forecasts
(Please suggest other resources to add in the comments section below or via pull request on GitHub!)
Interested in volunteering for HackEbola? Are you an expert who could give a mini-lecture or tutorial on an Ebola-related topic? Able to help to organize and promote the event? Or just willing to help clean up after the event? When you register, please indicate your interest in volunteering on the registration form.
This event is being held in conjunction with the HackEbola event at the Harvard School of Engineering and Applied Sciences.
Thanks to our sponsors! They include the Division of Biostatistics & Epidemiology, the UMass-Amherst GRiD student group and the Western Massachusetts Data Science, Stats, and R Meetup.
Thanks also to the Department of Mathematics & Statistics at UMass Amherst for allowing us to use one of the department’s seminar rooms for the workshop.
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