Imagine trying to get thousands of people to agree on a city plan without it turning into a shouting match. This project builds a digital system that uses AI to organize these massive conversations, filter the best arguments, and turn them into clear plans. It's like a smart moderator that helps a huge crowd reach a fair agreement that leaders can actually use.
Policy makers struggle to translate massive amounts of citizen feedback into actionable decisions, leading to a lack of trust and a disconnect between public needs and government action.
A digital solution featuring AI-enhanced tools for argumentation mining and knowledge graphs, supported by a methodology for large-scale co-creation.
If you are a digital government service provider dealing with low citizen engagement in policy making — this project developed AI-enhanced tools that make large-scale deliberation more transparent and inclusive.
If you are an ESG consulting firm dealing with complex conflict mediation between corporations and local communities — this project developed a socio-technical approach that connects deliberative processes with institutional decision-making.
If you are a civic tech startup dealing with the difficulty of analyzing thousands of public comments — this project developed argumentation mining and knowledge graphs to extract evidence-based models from citizen input.
Based on available project data, no specific pricing or cost information is provided as this is a research project.
Yes, the project specifically focuses on large-scale deliberation and the development of a scalable and modular architecture.
Based on available project data, the specific licensing terms are not mentioned, though it is part of a Horizon RIA project.
The project uses a socio-technical approach to connect deliberative processes with representative institutions, though specific API details are not listed.
The project is scheduled to run from 2023-02-01 to 2026-01-31.
The consortium is well-balanced for a tech-to-policy project, featuring 16 partners across 8 countries. With a 25% industry ratio (4 industrial partners, including 2 SMEs), there is a clear bridge between academic research and commercial application, led by the Politecnico di Milano.
Contact Politecnico di Milano regarding the ORBIS project coordination office.
Contact us to explore licensing opportunities for the AI-enhanced deliberation tools.
