Structure, Statistical Inference, and Dynamics in Networks: From Graphs to Rich Data

This workshop will bring together researchers from physics, computer science,statistics, biology, and the nascent field of network science to explore how to deal with rich network data in new ways, to understand the strengths and weaknesses of our current statistical and computational techniques, to develop new models and algorithms, and to look for types of structure in real-world networks that we haven’t seen before. As in a recent successful workshop on the power grid, we will have a relatively small number of hour-long talks with a strong pedagogical component, shorter talks on current research, and large stretches of free time for discussion and collaboration.