Developing the Theory and Practice of Epidemiological Forecasting

December 2016 News Alert: CDC has just named us “Most Accurate Forecaster” for 2015-2016.

Mission

Epidemiological forecasting is critically needed for decision making by public health officials, commercial and non-commercial institutions, and the general public. The Delphi group at Carnegie Mellon University focuses on developing the technological capability of epi-forecasting, and its role in decision making, both public and private. Our long term vision is to make epidemiological forecasting as universally accepted and useful as weather forecasting is today.

Operational Systems

Activities

We have participated, and have done very well, in all epidemiological forecasting challenges organized by the U.S. government to date:

Members


Roni Rosenfeld
Homepage


Ryan Tibshirani
Homepage


Logan Brooks


Sangwon (Justin) Hyun


David Farrow


Daren Wu


Pu (Paul) Liang


Lisheng Gao


Zirui (Edward) Wang


Jun Li

We are faculty and students at Carnegie Mellon University. We are also part of a larger, University of Pittsburgh-based MIDAS National Center of Excellence, which includes epidemiologists, virologists, public health experts, infectious disease MDs, legal and economic experts, and other computationalists.

Publicly Available Tools

Source codes are freely available on GitHub.

Ongoing Research Projects

Documents