hello!
welcome... This is our final project website for Harvard University's Data Science course [link], Fall 2014. 

who? we're a team of Master's Student in the Department of Statistics.

what? the scientific and inferential goals for this project are to model and predict the temporal and geographic evolution of the Ebola outbreak. We would like to better understand how the disease spreads from one place to another and which covariates are most predictive of an outbreak (or associated with it).

 where? our project build off the data consolidation efforts of Statistics without Borders and other humanitarian organizations. As part of the HackEbola event that took place at Harvard from November 21 to November 23, 2014, we utilized consolidated Ebola datasets to predict the disease propagation and understand its key features.

why? the current Ebola outbreak is generating “big data” - especially in variety! - including geographic information on where it’s occurring, who it’s affecting, and when it’s happening. The main challenge is to consolidate these disparate pieces of information in a meaningful way to better understand the early warning signs of the outbreak so we can take a more proactive approach.

thanks! Kristen Altenburger, Manuel Andere, Guillaume Sabran, and Shiya Wang