The scientific production in the Big Data domain uses, usually, a huge amount of data to make quantitative studies on arguments that few decades ago it was not even possible to imagine. Often these studies uses new and very complicated theoretical and computational tools involving many different fields of research. The interdisciplinary nature of the big data domain probably require to rethink the way the researchers produce and share their results. The Citychrone project, a quantitative study on public transport in urban systems, was born also as an attempt to explore new ways and means of production and diffusion of scientific results. The project is visible at www.citychrone.org.
Indaco Biazzo is a Ph.D graduated in physics of complex systems and optimization theory at the Politecnico of Turin. In the last years he works on social studies and urban science at the ISI Foundation of Turin and the University of Rome La Sapienza.