MARVEL at a glance
Digital technologies have boosted the production and continuous growth of “Big data”, which beyond volume, are also characterized by variety, velocity, veracity and value, and go beyond the abilities of common systems to accommodate and process. Cities have become actual “data engines” exploiting a huge variety of IoT urban sensors and devices recording multiple everyday activities in the city environment and producing large scale heterogeneous datasets. The challenges for extracting valuable knowledge and commercial value from data, leading to more accurate predictions, better analytics holds an unprecedented opportunity to shift the traditional methodologies, techniques and tools of information extraction into new dimensions by cracking the problem of extreme scale data analytics.
MARVEL aspires the convergence of a set of technologies in the areas of AI, analytics, multimodal perception, software engineering, HPC as part of an Edge-Fog-Cloud Computing Continuum paradigm that goes beyond traditional Big Data, conventional architectures heavily capitalizing on distributed resources and heterogeneous data sources in smart city environments, while implementing privacy preservation techniques at all data modalities and at all levels of its architecture. The ultimate aim is to support data-driven real-time application workflows and decision making in modern cities, showcasing the potential to address societal challenges very effectively, from increasing public safety and security to analysing traffic flows and traffic behaviour in the cities of Trento and Malta.
MARVEL aims to foster the vision of EU Data Economy by
i) focusing on addressing and solving rising challenges in the Big Data Value chain, regarding data acquisition, data analysis and processing, data storage and curation, as well as data visualisation,
ii) prioritising strengthening of open science and open data through enriching and sharing a Data Corpus to drive research and innovation in multimodal processing and analytics, contributing to benchmarking of edge, fog, cloud, and AI technologies for smart cities, empowering smart city authorities to better support their societies
iii) heavily investing in research and innovation in order to derive new knowledge and advance existing one, ensuring a sustainable growth for the technological advancements
iv) engaging citizens to promote breakthrough innovation.
Funding
This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.
