If you are a software provider dealing with low citizen engagement in city planning — this project developed a simulation visualisation and replay environment that helps test voting mechanisms like Quadratic Voting to increase participation.
AI-Driven Simulation Tools for Better Public Decision Making and Voting Systems
Imagine a digital twin of a city where you can test different ways of voting before actually doing it in real life. It's like a flight simulator, but for democracy, using smart math to see how people might react to new rules. The goal is to find a way to vote that stops arguments and helps people agree on what the community needs most.
What needed solving
Modern democracies struggle with polarization, lack of trust in government, and inefficient allocation of public goods. Traditional voting methods often fail to capture the intensity of citizen preferences.
What was built
An agent-based computer simulation environment and a simulation visualisation and replay environment to test voting mechanisms.
Who needs this
Who can put this to work
If you are a city government dealing with political polarization and trust issues — this project developed algorithms for robust democratic decision-making that can be tested in real-world scenarios to improve public good allocation.
If you are a consultancy dealing with unpredictable human behavior in policy changes — this project developed an agent-based computer simulation using quantum and classical computational science to predict outcomes of social choice theory.
Quick answers
What is the cost or price of the software?
Based on available project data, pricing information is not provided as the project is funded under the HORIZON-RIA scheme.
Can this be scaled to a national level?
The project focuses on city-level testing, specifically with the city of Aarhus, but uses computational social science which is theoretically scalable.
Who owns the IP and how is it licensed?
Based on available project data, specific licensing terms are not mentioned, though the consortium includes 18 partners across 11 countries.
How does this handle data privacy laws?
The methodology is built on rigorous adherence to data protection standards and ensures GDPR compliance.
When will the tools be ready for use?
The project period runs from 2025-01-01 to 2027-12-31, suggesting tools will be developed during this window.
Who built it
The project has a strong interdisciplinary mix of 18 partners, featuring a 28% industry ratio with 5 industrial partners, including 4 SMEs. This balance between 6 universities and 4 research centers suggests a transition from theoretical social choice theory to practical application, supported by a wide geographic spread across 11 countries.
Contact Aarhus Universitet in Denmark
Talk to the team behind this work.
Contact us to explore integration of Quadratic Voting simulations into your GovTech product.