Data are everywhere. They are generated by the a myriad of electronic devices (smart phones, computers,) used in the five continents. However, data is nothing if no clever use is made out of it. Making sense of all those data is one of the objectives of many companies and organizations, from cities to regions to governments to NGOs Our proposal is about data: (i) the processing and analysis of large volumes of data (Big Data), (ii) the important Applications which use and process these data efficiently, in such a manner as to improve different aspects of peoples lives (environment, mobility, minimum income, etc.), and (iii) an investigation of human language, a natural source of big data, from a logical and statistical perspective. Our project proposal meets seven challenges. First, the analysis and modelling of data derived from complex systems, with a special focus on providing theoretical tools for modelling and understanding data before designing algorithms which operate efficiently with them. Second, investigating algorithmic aspects of data mining, predictive and descriptive models. Third, algorithms for streaming data to be applied to streaming on social networks, on sensor network data, for real-time, interactive analytics. Fourth, technology for the processing of data, for the generation of synthetic data, and benchmarking technologies and algorithms for the processing and generation of synthetic data and for modelling real data. Fifth, big data applications and platforms for processing data on our technologies for the improvement of society at the levels of health, mobility and economics. Sixth, an investigation of the syntax and semantics of natural language from a logical perspective. Seventh, statististical investigation of the appearance and evolution of laws and constructions in communication from at two levels: (i) the acquisition of language, the development of child and adult language and (ii) the emergence of linguistic laws in communication systems. The strengths of the our team are: (i) the expertise on the topics proposed, proven by the high quality research done so far; (ii) its deep integration in the ecosystem, with an outstanding number of EC funded projects both in FP7 and H2020 and (iii) the deep collaborative network set up with companies and administrations that use our technologies. This proposal is organized in two layers. A first layer where emphasis is made on models, methods and technologies. Our scientific trajectories, and specifically the combination of our distinct backgrounds, can provide contributions that would be difficult to carry out by separate teams. The second layer consists of applications or Use Cases, based on data-driven solutions, requiring the models, methods, and technologies above that will trigger research in the scientific challenges foreseen. We will focus on Use cases that may truly benefit society at large and peoples lives, following the criteria above. Indeed, our proposal is aligned with five of the eight great challenges of the Estrategia Española de Ciencia y Tecnología y de Innovación and with at least four of UNESCOs Sustainable Development Goals. We expect that our proposal will have multiple impact on many dimensions: society (directly and indirectly), economic growth, entrepeneurship, technology transfer and last but not least, science.
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Blasco-Moreno, A.; Perez-Casany, M.; Puig, P.; Morante, M.; Castells, E. Methods in Ecology and Evolution Vol. 10, num. 7, p. 949-959 DOI: 10.1111/2041-210X.13185 Date of publication: 2019-03-27 Journal article
Heesen, R.; Hobaiter, C.; Ferrer-i-Cancho, R.; Semple, S. Proceedings of the Royal Society B. Biological sciences Vol. 286, num. 1896, p. 1-9 DOI: 10.1098/rspb.2018.2900 Date of publication: 2019-02-13 Journal article
Valdés, M.; Galván, I.; Ribas, V.; Duran, X.; Yokota, J.; Gavaldà, R.; Rafael-Palou, X.; de Cid, R. BMC systems biology Vol. 12, num. (Suppl 5):97, p. 55-74 DOI: 10.1186/s12918-018-0615-5 Date of publication: 2018-11-20 Journal article
Castro, J.; Gabarro, J.; Serna, M. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems p. 226-238 DOI: 10.1007/978-3-319-91476-3_19 Presentation's date: 2018-06-13 Presentation of work at congresses