5 papers
OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models
Michael Siebenmann, Javier Argota Sánchez-Vaquerizo, Stefan Arisona +3
We present OGD4All, a transparent, auditable, and reproducible framework based on Large Language Models (LLMs) to enhance citizens' interaction with geospatial Open Government Data…
Fake Plastic Voters: When Political Parties Can Use AI-Simulated Focus Groups
Claudio Novelli, Javier Argota Sanchez-Vaquerizo, Jennifer Cyr +4
Political parties strive to understand their electorates, and focus groups are a vital tool in these efforts. AI-enhanced simulation technologies (AESTs) enable synthetic focus gro…
Beyond the Townhall: Spatial Anchoring and LLM Agents for Scalable Participatory Urban Planning
Carina I Hausladen, Javier Argota Sánchez-Vaquerizo, Michael Siebenmann +3
Participatory urban planning is central to sustainable city-making, yet the technically demanding nature of such interventions often limits meaningful involvement by diverse public…
From Particles to Agents: Hallucination as a Metric for Cognitive Friction in Spatial Simulation
Javier Argota Sánchez-Vaquerizo, Luis Borunda Monsivais
Traditional architectural simulations (e.g. Computational Fluid Dynamics, evacuation, structural analysis) model elements as deterministic physics-based "particles" rather than cog…
A Replica for our Democracies? On Using Digital Twins to Enhance Deliberative Democracy
Claudio Novelli, Javier Argota Sánchez-Vaquerizo, Dirk Helbing +2
Deliberative democracy depends on carefully designed institutional frameworks, such as participant selection, facilitation methods, and decision-making mechanisms, that shape how d…