The main objective of the meeting is the  exploration of the multiple methodological intersections that have been devised in the diverse areas to provide insights regarding e.g. acquisition and analysis of complex networks, resilience and vulnerability, cybersecurity and privacy. Data Science & Complex Systems Science can borrow new ideas and techniques from each other contributing to the synergetic comprehension of both disciplines.  Complex Systems Science is mainly expected to contribute a new paradigms for representing and extracting information about structures and dynamics characterized by interacting elements, thus providing new clues in classical data mining tasks like classification or regression.  Ultimate aim of the meeting is to discuss current understanding and devise further applications of data science in  mapping complex networks evolution and interaction.

Visit the webpage of the previous edition "Data Science Challenges" (2015) .