Predikon
Predictions about votes in Switzerland
We designed a predictive model of the municipal results (in percentage of "yes") for Swiss votes. Based on past results, our model automatically learns features of municipalities. On the day of a vote, and as soon as some municipalities publish their results (their percentage of "yes"), our model uses the features to predict the unpublished results of other municipalities. The prediction of the national vote result is obtained by aggregating published results and predicted results.
Predictor
- Technical
Computer Communications and Applications Laboratory 4
Computer Communications and Applications Laboratory 4
The Information and Network Dynamics research group is part of the School of Computer and Communication Sciences at EPFL in Lausanne, Switzerland. The group is lead by Matthias Grossglauser and Patrick Thiran. Their research focuses broadly on the statistical modeling of large dynamical systems involving both human and technical agents. Examples include social and information networks, epidemic processes, human mobility and transportation, and recommender systems. Our work lies at the intersection of machine learning, probabilistic modeling, large-scale data analytics, and performance analysis.
This page was last edited on 2022-07-05.
This page was last edited on 2022-07-05.