SciTransfer
EuropeanCity2 · Project

AI-Driven Simulation Tools for Better Public Decision Making and Voting Systems

digitalTestedTRL 5

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.

By the numbers
18
consortium partners
11
countries involved
11
total deliverables
The business problem

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.

The solution

What was built

An agent-based computer simulation environment and a simulation visualisation and replay environment to test voting mechanisms.

Audience

Who needs this

GovTech startupsMunicipal IT departmentsPublic policy consultantsDigital democracy platforms
Business applications

Who can put this to work

GovTech
SME
Target: Civic technology software provider

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.

Public Administration
enterprise
Target: Municipal government

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.

Data Analytics
mid-size
Target: Social science consultancy

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.

Frequently asked

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.

Consortium

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.

How to reach the team

Contact Aarhus Universitet in Denmark

Next steps

Talk to the team behind this work.

Contact us to explore integration of Quadratic Voting simulations into your GovTech product.