Computational Challenges in Scaling Democratic Deliberation

Fuente: arXiv
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Auteur principal: Grossi, Davide
Format: Preprint
Publié: 2026
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author Grossi, Davide
author_facet Grossi, Davide
contents The paper provides an overview of core functionalities that digital democracy software needs to provide in order to support democratic deliberative processes at scale. Developing these functionalities poses novel computational challenges and requires algorithmic solutions to interesting mathematical problems. The aim of the paper is to break the first ground towards a structured inventory of such problems, and to position possible approaches to them within current academic research in computer science and artificial intelligence.
format Preprint
id arxiv_https___arxiv_org_abs_2605_01525
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Computational Challenges in Scaling Democratic Deliberation
Grossi, Davide
Computers and Society
The paper provides an overview of core functionalities that digital democracy software needs to provide in order to support democratic deliberative processes at scale. Developing these functionalities poses novel computational challenges and requires algorithmic solutions to interesting mathematical problems. The aim of the paper is to break the first ground towards a structured inventory of such problems, and to position possible approaches to them within current academic research in computer science and artificial intelligence.
title Computational Challenges in Scaling Democratic Deliberation
topic Computers and Society
url https://arxiv.org/abs/2605.01525