MULTIMINDED is a research project born to innovate in citizen participation and the validation of public policies through the creation of an intelligent system of citizen digital twins. The main objective is to accurately emulate human attitudes, opinions, and behaviors based on urban lifestyles and personality traits, allowing administrations to simulate the impact of their decisions in an ethical, representative, and massive way.
The project proposes a new participation paradigm where, through a Retrieval-Augmented Generation (RAG) architecture and Large Language Models (LLMs), secure digital representations are built. This system is complemented by advanced privacy technologies and a blockchain-based platform that ensures the citizen always maintains control and sovereignty over their data and the activation of their digital twin.
Within the framework of the MULTIMINDED project, the i2CAT Research Centre leads the qualitative social research and human behavior modeling aspects. The centre’s Digital Technologies Society (DST) research group focuses on the methodological design and execution of in-depth interviews to identify patterns, values, and personality traits that feed the digital profiles. i2CAT’s work is fundamental to ensuring that the digital twins reflect the diversity of society, integrating an intersectional gender perspective and developing ethical protocols to detect and correct biases in AI algorithms.
For its part, SIRT (Sistemas Integrales de Redes y Telecomunicaciones, S.L.) provides its technological expertise in software architecture development and data security. SIRT is responsible for implementing the Cryptonímia modules, which ensure the intelligent anonymization and segmentation of information, and the dsRights platform, the blockchain-based consent governance system. Its contribution allows the simulation of generative agents to be executed in a fully secured, traceable, and scalable environment across different sectors.
MULTIMINDED seeks to establish a benchmark in the ethical evolution of generative artificial intelligence in Europe. The project not only optimizes evidence-based public policy formulation but also opens a new market in the field of experimental social research, allowing institutions to listen to and better understand the needs of citizens without compromising individual privacy.
This project is part of the territorial network of Artificial Intelligence hubs under the RETECH programme (Territorial Networks for Technological Specialization), within the Recovery, Transformation and Resilience Plan, funded by the European Union – NextGenerationEU.
