The Big Data Science Center (BDSC) at the Shanghai Synchrotron Radiation Facility (SSRF), has organized, together with other top world-class research and academic institutions, an International School aimed at educating international undergraduate, graduate and post-graduate students to the best practices in science at Large Facilities aided with Big Data Science augmentation.

International students have been trained on advanced synchrotron and neutron data interpretation frameworks at the International School, which took place at the University of Bayreuth and Munich in Germany, where they remotely run experiments at the Advanced Light Source (ALS) at the Lawrence Berkeley National Laboratory (LBNL) in U.S.A., which in turn produced raw Big Data that were remotely processed using a computational cluster at ALS. The results were then remotely accessed and visualized directly on the computers of the students in Germany.

Prof. Alessandro Sepe, Head of the BDSC at SSRF, contributed to this unique achievement, co-organizing the International School and giving an Invited Lecture Series on Synchrotron Data Analysis, combining together Education with the most advanced Science and Technologies at Large Facilities. Prof. Sepe is, in fact, establishing a wide international scientific network at SSRF, where he is now leading the deployment of a novel Big Data Science Infrastructure, where Artificial Intelligence, Internet of Things, Real-time remote experiments, and High Performance Cloud Supercomputing converge to create the first-ever World-Class User-Friendly Chinese Superfacility, where also non-experts can obtain scientifically meaningful results in real-time. This will effectively extend the use of synchrotron facilities to the largest plethora of scientific disciplines ever, thus dramatically increasing the scientific outcome of Large Facilities like SSRF.