Big Data & Data Science

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 [...]

Network of excellence in data-based enabling technologies. The AI4ES project is born with the vision of becoming the Spanish benchmark in research, development and transfer of those digital technologies that allow intelligent data processing and analysis. The objective of AI4ES is to promote the economy based on data and artificial intelligence at a national level, facilitating the transfer of capacities, results and technologies to the productive fabric, providing innovative solutions and services that require secure and reliable access to data, efficient processing, analysis advanced, machine learning, and artificial intelligence. These technologies range from the storage and [...]

Development of a European Platform for Regions to advance the digital transformation of public services, which allow collective Artificial Intelligence (AI) and Big Data solutions. The DT4REGIONS project aims to create a unique challenge-based innovation platform for the development of tools and services of public interest, putting the real needs of a network of regions at its heart. At the same time, it aims to enhance public administration efficienty and effectiveness in user-centered services. The specific objectives of the project are: Raising awareness and knowledge about AI and Big Data applications for public services within public [...]

The Territorial Competitiveness Specialization Project Mataró-Maresme (PECT in its acronym in Spanish) is the materialization of the multiple strategies promoted, both at the municipal and regional levels, to implement the transformation of the territory through the construction of a model of smart, sustainable and economic growth. integrator. The PECT Mataró-Maresme “Ecosystem of innovation for caregiving cities”, has the objective of developing and implementing in the territory new models and innovative solutions focused on the accompaniment of active aging and the care of people in situations of fragility or dependence. To achieve this, it carries out processes [...]

Innovative neuroscience and Artificial Intelligence technologies applied to the design of new food products. The CIEN CONOCE project applies disruptive technologies in the field of neuroscience and Artificial Intelligence, with the aim of deepening the consumer’s knowledge and perception of multisensory stimuli, developing innovative food products adapted to their needs and preferences. The solution promoted by the project allows to better understand the consumer, their needs and their responses to a new product in different consumption contexts and, on the other hand, to analyse how these responses can be parameterised to include them systematically in a [...]

Support for the recommendations of the São Paulo authorities to promote the design and implementation of a mobility system and integrate it with other modes of transport, promoting the concept of mobility as a service (MaaS). The project "Support for the SPTrans Operations and Control Center (COP)" collaborates with the authorities of Sao Paulo with the aim of promoting the conception of a georeferenced information system for mobility and its subsequent integration with other systems, both existing and future. On the other hand, the project identifies the components to be considered in a future planning system [...]

The Möbius project contributes to a renewed and invigorated European publishing sector by providing tools and methodologies which leverage the potential of prosumers in innovation processes to guarantee user-centric and user-driven perspectives in the design and delivery of new enriched media experiences. Möbius is developing a prosumer intelligence toolkit for supporting publishing decisions and establishing cooperation with prosumers. With this innovation, new business models will be implemented through the collaboration with prosumers to add value in book publishing processes. Additionally, Möbius project will create a cross-media, interactive and immersive book experience that goes beyond all known [...]

Prediction and support system for the comprehensive management of the evolution and use of resources in pandemics situations. The PROCEED project aims to create an augmented epidemiological model to support decision-making through the collection, integration, and analysis of heterogeneous data sources (health, mobility, environment, wastewater and social). Within the framework of the project, a new system for predicting and supporting the comprehensive management of pandemics is developed and deployed, defined as a personalised infrastructure and offering tools that allow managers, clinical professionals and patients to access data, results, indicators, predictions and recommendation throughout the various stages [...]

Development of an innovative AI-empowered Personalised Medicine system that bring medical “AI-empowered knowledge” to the tips of the fingers of clinicians and clinical researchers. The KATY project aims to develop an AI-empowered personalised medicine system built around two main components: a distributed knowledge graph that connects sources of medical knowledge, and a pool of “explainable predictors” which allows the AI to model patient outcomes. The AI-empowered knowledge is a human interpretable knowledge that clinicians and researchers can understand, trust and effectively use in their daily working routines. In this sense, the system developed relates the information [...]

New digital cloud-based genotype to phenotype platform relying on Big Data Analytics and Artificial Intelligence and using large-scale publicly available and experimental omics datasets. The GLOMICAVE project, coordinated by Eurecat, addresses the need to build systems that allow the use of primary data analytical processes and support large-scale omic experiments, thus maximising the utility of omic data at a massive level and increasing the understanding of biological systems as a whole. The new open platform developed by the project has the objective to assist experts and non-experts in identifying and understanding new links between genotype and [...]

European federation of Data Driven Innovation Hubs to create a common data space of reference in Europe. The EUHubs4Data project aims to consolidate a the European reference for data driven innovation and experimentation, fostering collaboration between data driven initiatives in Europe, federating solutions in a global common catalogue of data services, and sharing data in a cross-border and cross-sector basis. The new federation promoted by the project is formed by 21 partners and 12 DIHs, all of them referents in the field of Artificial Intelligence and Big Data, that offer companies a unique access to their [...]

A European data-driven innovation hub to reshape the media value chain. The MediaFutures project sets up a virtual European data innovation hub that includes funding, mentoring and support for entrepreneurial and creative projects with the aim to reshape the media value chain through responsible and innovative uses of data. The objectives of the project are: To explore the critical factors that impact how people engage with bottom-up quality journalism, science education and digital citizenship. To define a participatory, inclusive innovation program, leveraging impulses from multiple disciplines, as well as synergies between entrepreneurs and creatives. Organise a [...]