Interdisciplinary transactions can be thrilling and their energy, once properly channeled and focused, can generate very interesting results. This is true in general and even more so if there is a topic such as data driven decision making at the center of the discussion. Indeed, new technologies produce a substantial amount of data that requires new statistical approaches such as Big Data Mining and Analysis. This affects the way decisions are taken in all fields, from medicine to social sciences. Indeed, data driven revolution opens new lines of research both in the scientific field such as medicine, neuroscience (from the bench to health policies), robotics, autonomous systems and may improve the process of diagnosis, care, and rehabilitation. Even the law discover itself as an autonomous field of big data research.

This volume collects the proceedings of the Data Driven Decision-Making workshop (held in Pavia thanks to a contribution of the UNIPV InRoad initiative). Tamar Sharon, Gabriella Bottini, Stefania Basilico, Valeria Peviani, Frederike Seitz, Riccardo Bellazzi, Francesca Bellazzi, Paul Vogel, Francesca Lagioia, Giuseppe Contissa and Nicolas Woltmann were the distinguished group of European scholars who had the experience of a shared vocabulary which crosscuts distant backgrounds and disciplines.

The result is a kaleidoscope of the possibilities in the innovative and emerging area of data-driven decision-making.