This week The Harvard Data Science Review released its special edition on Predicting the 2020 Elections. This peer-reviewed academic journal that covers the science of data looked at models from The Economist, Allan Lichtman as well as DDHQ’s own 2020 Election Forecast.
Liberty Vittert an editor of HDSR wrote –
Øptimus, in collaboration with Decision Desk HQ, presents both a presidential and congressional modeling methodology from a data set of 200+ base features spanning everything from economic indicators to candidate traits, and finance reports. However, this is not a static model, the different indicators are paired for different races, and many models are combined for a final result. Their specialty lies in feature engineering various political variables based upon their own political knowledge—variables that are impossible to replicate precisely by others. It can almost be best described from our reading as an ever-moving beast, not just from election to election, but from day to day.
Keep checking back here for updates to the 2020 Election Forecast and be sure to be here on election night where you can get the fastest results on election night.