Decision-making is based on information, not just on data. More accurate, and ethically correct information leads to better decisions and gives competitive advantages to the organizations. Hence, processing, manipulating, organizing data, and enabling their fruition through effective visualizations and advanced interaction paradigms have become necessary issues to enrich the  of the receiving persons or organizations. The goal of the lab is to enable the students to master the engineering methods and processes that are necessary to manage modern data-intensive systems: these include all the large data collections, belonging to corporate, scientific, social or other sources.

The ultimate goal of the studies carried out in the laboratory is to expose students to some of the most advanced methodologies for understanding the conceptual and technological problems encountered in the design and implementation of "data products": tangible results based on analysis of complex systems that concentrate, as raw material, on collections of data that must be integrated, organized and analyzed mainly through automatic tools, and offered to the end user through advanced interactive applications. Moreover, current methodological frameworks need to be extended with the autonomous capability of the system to decide which data are to be delivered in each given context, including the possibility to adapt to the context not only the content but also the shape and the presentation of the data in the user interfaces. Last but not least, we should make sure that these systems for analysis and knowledge generation abide by the ethical principles that should regulate our civil coexistence.
 
Main interests include (but are not limited to): Data integration, Context-aware data management, Lightweight integration (Mashups) of heterogeneous resources, Data exploration, Innovative interaction paradigm (e.g., conversational) for the exploration of heterogeneous resources, Ethics in data processing.