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Matthias Lalisse

  • Department of Linguistics and Cognitive Science, Johns Hopkins University

By this expert

Gun Money Predicts Congressional Voting Better Than Party Alone

Article By Matthias Lalisse | Jun 15, 2022

An analysis of gun lobby contributions to Republicans and Democrats

The Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach

Article By Matthias Lalisse | Mar 3, 2022

Legislators who vote together get paid together

Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach

Paper Working Paper Series | By Matthias Lalisse | Mar 2022

Using aggregate campaign finance data as well as a Transformer based text embedding model we can predict roll call votes for legislation in the US Congress with more than 90% accuracy.