About

We are economists and thinkers from a range of disciplines who challenge conventional wisdom and advance ideas to better serve society.

Research

We develop research that challenges economic orthodoxy and serves society.

Articles

Commentary, analysis, interviews, and research summaries by INET-affiliated writers.

Video

Interviews, presentations and video series with provocative economic thinkers, public figures and students.

Podcast

Economics and Beyond with Rob Johnson, a podcast featuring interviews with some of the world’s most important thinkers, artists, and activists about the pressing issues of our time. The podcast is also available on all major podcasting platforms, such as Apple, Spotify, Google, and Podbean.

Education

Video series and courses for students and educators interested in exploring new economic thinking.

Events

To foster new economic thinking, we host convenings that gather together a diverse community of thinkers from different fields, countries, and schools of thought.

YSI

Through the Young Scholars Initiative (YSI), INET provides support to students, young professionals, or others who embrace new and critical ways of thinking about the economy. YSI fosters conversation among those who wish to engage with new economic thinking and connects young scholars to the Institute’s vast network of economists.

Topics

Browse all INET content organized by topic

Matthias Lalisse

  • Department of Linguistics and Cognitive Science, Johns Hopkins University

By this expert

Trump, Populism, and the Republican Establishment: Two Graphs From New Hampshire

Article By Thomas Ferguson, Jie Chen, Paul Jorgensen, and Matthias Lalisse | Feb 2, 2024

This year’s New Hampshire primary testifies to the disintegration of the Republican Party

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.