Big Data & Data Science

Artificial intelligence applied to the Barcelona metropolitan bus network. AI4Bus develops tools that allow for flexibility, adaptation and improvement of the bus network service in the Barcelona Metropolitan Area. Based on demand analysis and historical patterns, AI4Bus develops artificial intelligence models capable of predicting passenger flow, allowing the operator to anticipate changing circumstances and adjust the frequencies of the main transport lines to provide a more efficient service. AI4Bus offers a comprehensive solution with interconnected components through the integration of heterogeneous data sources to capture the complexity of the transport system. The project's predictive models provide [...]

Digital growth initiatives for the transformation of the social economy. The DIGISET project supports social SMEs on their way to digitalisation, particularly in terms of AI, data management and new business models. Based on the identified needs for their digitalisation and training, DIGISET prepares and implements tailor-made training programmes, with both a national and transnational scope. Alongside training, support is provided to social entities to ensure the implementation of digital tools, providing financial support to carry it out. In parallel, DIGISET also supports enablers who make the social economy possible, as they need to improve their [...]

Promotion of citizen-friendly mobility. The Diversify-CCAM project promotes fair and accessible mobility in European regions by integrating cultural, geographical, and policy aspects into the design, development, and implementation of cooperative, connected, and automated mobility (CCAM) solutions. The project unveils the diverse social contexts that influence the acceptance, adoption, and utilization of CCAM and the main challenges hindering the effectiveness of shared services, especially in regions with unique geographical and cultural demands. The project hosts 12 pilot sites dedicated to data collection and evaluation of the mobility of people within urban environments equipped with existing CCAM solutions [...]

Innovative collaborative initiative among three leading Spanish technological centres in the field of quantum computing. The ARQA project advances research and development of quantum applications for the business sector, thereby tackling challenges that traditional computing cannot currently resolve. The Cervera ARQA Network, formed by the Technological Center for Information and Communication Foundation (CTIC), Eurecat, and ITG, constitutes a joint effort to boost the transfer of quantum technologies to businesses, fostering a national level collaboration that facilitates the integration of these advanced technologies into the business fabric, and thereby, into society. This project not only seeks to [...]

Transformation of social thinking that favors energy savings and efficiency at the same levels as savings and economic performance. The From Euro to Joule (EUR2J) project uses tools from the science of complex systems to study and understand how the dynamics of social transmission condition citizens’ acquisition of knowledge and the adoption of new habits and technologies in the context of energy. This transformation involves a process of training and educating citizens that enables them to make responsible and sustainable decisions and protects them against misinformation. In this sense, EUR2J promotes the creation of a digital [...]

More transparent and fair financing system. The Belender project brings greater transparency and equity to the financing system, with the goal of improving overall financial stability. This is essential in times of economic uncertainty, where opacity in financial data can generate risks and imbalances in the system. Eurecat's IT&OT Security Unit focuses on identifying the most promising blockchain technologies and existing SSI identity wallet solutions that can be adapted to the project's needs. Additionally, it investigates critical aspects of cybersecurity related to the selected blockchain technology, such as the security of smart contracts and vulnerabilities of [...]

Towards a common European Mobility Data Space (EMDS). The DeployEMDS project marks a key step forward in the European Union's journey towards the creation of a common data space, facilitating data access, sharing and reuse in the mobility sector. Through common governance mechanisms, the goal is to unite data providers and users by developing common building blocks and practical applications. In line with the European Data Strategy and the Smart Sustainable Mobility Strategy, DeployEMDS helps unlock the potential of data to support a more sustainable and efficient urban mobility. The project will support implementation in nine [...]

Smart mobility and traffic analysis and control system. The Smart City Manager responds to the current mobility and sustainability challenges of smart cities. The goal is for smart cities to have the most advanced tools with big data technology, blockchain and artificial intelligence algorithms to predict the mobility of vehicles, detect anomalous situations, make decisions and evaluate their impact within 'a secure environment and aligned with data protection law. To do this, Internet of Things data from traffic cameras will be anonymized, mined and enriched with other context information. Eurecat participates in the Smart City Manager [...]

Co-creation of a citizen science toolkit for climate assemblies in living labs. The CLIMAS project aims to support a transition to climate resilience by co-designing an innovative problem-oriented climate adoption Toolbox, which relies on the application of a value-based approach, design thinking methods and citizen science mechanisms. CLIMAS will test the Toolbox in Climate Assemblies and Living Labs and formulate scientific-based guidelines for policymakers on how to shift Climate Assemblies from expert technically based deliberations to multi-stakeholder value-based dilemmas from a bottom-up and more societal perspective. The use of the Toolbox will anticipate possible tensions, points [...]

Data monetisation and sharing/trading platform for secure, reliable and controlled exchange and usage of proprietary data assets and data-driven intelligence. The PISTIS project advances the available techniques and technologies, such as federated data discovery and sharing, distributed ledger technologies (DLTs), non-fungible tokens (NFTs) or AI-driven data quality assessment and monetisation. These stakeholders formulate a distributed network of data spaces with built-in governance brought by PISTIS to eliminate silos while accruing the actual data value and multiplying it through derivative assets in a fair and transparent manner. PISTIS establishes the methodological and technical bases in different areas: [...]

Investigation of 3D browsing in virtual environments and of an online interface that allows access and consultation of content by enriching it with artificial intelligence. The METAGLAM project focuses on the research of a 3D browsing interface and on carrying out a pilot test with the collections of the National Library of Catalonia linked to the artistic avant-gardes. The project includes, on the one hand, the enrichment of content through artificial intelligence and, on the other, the integration of users and the uses they make of this content in order to improve browsing and recommendations. Currently, browsing in [...]

Artificial intelligence model to categorise banking movements of SMEs and freelancers, detecting possible anomalies. The KINTAI project builds the bases for an artificial intelligence and machine learning tool for calculating the level of risk and its monitoring, a basic requirement for granting a loan to a company. KINTAI designs and implements models based on supervised learning that take into account the millions of bank transactions made by companies, and then efficiently group them into different categories identifying anomalies in cash flows and the customer portfolio. This tool allows for the import, transformation and storage of any volume of [...]

Advances in the exploitation models of free ad-supported television (FAST) channels. The PFAST project promotes a technology for the automatic creation of personalised linear television channels by the user, so that, despite starting from the same content repositories, the grids are specially tuned to their preferences. Thus, the project contributes through artificial intelligence techniques to the personalisation and specialisation that FAST channels represent for the television world. Specifically, PFAST advances in the state of the art through natural language processing (NLP) analysis of television content metadata, creating an affinity/diversity model through the emotional analysis of users. The PFAST [...]

New methodology to reduce the spread of misinformation about vulnerable and stigmatised groups The REMISS project develops a new methodology that allows a trust and credibility score to be awarded both to social network accounts and to messages that may be false. For this reason, it combines various techniques that, until now, have been developed in independent silos and have given powerful results in terms of detection, although they are not very interpretable. The project proposes a methodology based on propagation models, multimodal analysis and text characterization derived from metrics obtained in the laboratory. This analysis [...]

Improving the abilities of gamers through a feasibility study of the development and application of performance measurement tools and physical and psychological processes. The eSports-LAB project is born with the aim of carrying out a feasibility study on the development and application of performance measurement tools and physical and psychological processes of gamers (eSports or online sports players). The purpose is to provide a tangible improvement of their abilities during practice in different disciplines of sports, whether they are professional or amateur players. eSports-LAB aims to be the beginning of a continuous test bench that serves [...]