Mission & Vision
The mission of the European Laboratory on Big Data Analytics and Social Mining is to perform advanced research and analyses on the emerging challenges posed by big data, namely the digital breadcrumbs of human activities continually sensed by the ICT systems that people use. The extreme detail of these data is surprising and, ultimately, they are at the heart of the very idea of a knowledge society: a society where decisions – small or big, by business or policy makers – can be taken on the basis of reliable knowledge, distilled from the ubiquitous digital traces generated as a side effect of our living. Increasingly sophisticated data analysis and data mining techniques, called social mining, support knowledge discovery from human activity data, enabling the extraction of individual social profiles and collective behaviors, the analysis of spreading and epidemics over multi-dimensional networks, the analysis of sentiment and opinion evolution, the extraction of mobility patterns and models. A steady supply of knowledge across various social dimensions which is needed to understand and predict complex social phenomena. The vision that the European Laboratory on Big Data Analytics and Social Mining adheres to is that of a Planetary Nervous System: a technology for efficient and privacy-aware processing of big data in order to make accurate analytical and predictive social mining models available for addressing questions about social complexity. The European Laboratory on Big Data Analytics and Social Mining aims at meeting this challenge by aggregating multi-disciplinary competencies and computational resources for conducting privacy-aware research experiments, social mining and visual analytics on big data. The European Laboratory on Big Data Analytics and Social Mining will participate in multi-disciplinary research projects on big data analytics, both at European and National level; it will support public bodies, at European, National and local level, in the analysis of big data analysis and on related privacy-preserving issues; it will offer private companies with privacy-aware services for the analysis, the forecasting, and the simulation of complex socio-economical phenomena.