Connectionists: Network Science Math Research Camp, at Snowbird, June 2014

Aaron Clauset Aaron.Clauset at colorado.edu
Mon Jan 27 12:08:21 EST 2014


[This event is aimed at graduate students and postdocs interested in network science, with a particularly emphasis on learning from data and the mathematics of network models.]

Network Science

Dates: June 24-30, 2014

Organizers:
Aaron Clauset, University of Colorado, Boulder
David Kempe, University of Southern California
Mason A. Porter, University of Oxford

sponsored by The American Mathematical Society (AMS)

Over the last decade, the quantitative study of networks has emerged as a fundamental tool for understanding and modeling complex systems of all kinds. Although it has built on prior foundational work in areas such as sociology, mathematics, and computer science, the increasing availability of detailed data sets has led to insights into --- and ambitions for attaining a much deeper understanding of --- the structure, dynamics, and function of social, biological, physical, and technological systems.

A fundamental challenge in network science is to extract a solid foundation and a set of key principles for networked systems from the widely dispersed efforts in analyzing real-world networks and developing mathematical models of networks. Progress requires thorough investigations in many key areas, including (i) characterizing the complex and often multi-scale structural patterns of real networks, (ii) understanding the way network structures constrain or drive dynamical processes that operate on top of this structure (e.g., communication or epidemic processes), (iii) developing rigorous methods for fitting static and dynamic network models to data and for testing network hypotheses, (iv) identifying and detecting fundamental modes of organization in networks as well as the underlying processes that produce these structures, and many others.

This MRC aims to introduce young mathematical and computational scientists to modern research in network science. It will explore some of the key techniques, develop in-depth knowledge of several overlapping topic areas, and engage in research to attack open problems.

Application deadline: March 1, 2014

http://www.ams.org/programs/research-communities/mrc-14




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