Academic

December 2024

Google Scholar listings for all academic papers citing the original paper: Polis: Scaling deliberation by mapping high dimensional opinion spaces”. (55 citations as of Jan 2025)

Academic

December 1997

The original paper describing expectation-maximization PCA (EMPCA), which is the incremental PCA algorithm that Polis uses to update its sparse matrix in a computationally efficient way as new vvotes come in. The Polis paper refers to EMPCA as the “power iteration method” of PCA.

Academic

November 2023

An implementation of methods beneficial to vote prediction, a known opportunity for extending Polis into “virtual democracies”.

Academic

August 2024

A DARPA-funded winner of the Best Paper Award at the 4th International Workshop on Democracy and AI. This paper “introduces a unique approach to visualizing opinion data gathered from the Polis online platform in which LLMs are used to generate positions and structure the data into argument maps.”