Mathematics Organizes Summer School and Workshop in Lisbon with Keynote Speech from António Câmara

23 Jul 2009

Annual CoLab Mathematics Summer School and Workshop

The CoLab Mathematics Summer School is an annual event aimed at bringing together Ph.D. students and junior faculty with well known experts in several areas of mathematics.

This two-week summer program will be held July 2009 in Lisbon, Portugal. The week of July 13 to 17 will feature a summer school for graduate students and postdocs, with lectures by E. Carlen (Rutgers Univ.), P. Degond (Univ. P. Sabatier, Toulouse, France), I. M.Gamba (The Univ. of Texas at Austin), M. Katsoulakis (Univ. of Massachusetts, Amherst) and R. Pego (Carnegie Mellon Univ.).

The following week of July 20 to 24 will hold a workshop featuring lectures on recent progress in this field. The list of confirmed workshop speakers is appended below.

In addition, Dr António Câmara, Executive Officer (CEO) of YDreams and Professor at the New University of Lisbon in Portugal, will deliver a public lecture on July 23rd at 5:00pm, titled “Digital Media and Mathematics” (more details on this event can be found below).

This program is sponsored by the CoLab UT Austin/Portugal program http://www.math.utaustinportugal.org. It is also supported by the ICTI Carnegie Mellon University/Portugal partnership, http://CIM and http://CMAF.

We invite graduate students and postdocs to apply for funding for the first and second week of the program. There might be some partial funding available. Updated information about the program and registration applications can be found at: http://http://kinetic.ptmat.fc.ul.pt. Please register NOW! Both events will take place at the Interdisciplinary Complex of the University of Lisbon, http://www.ciul.ul.pt.

The themes of this program are analytical, numerical, and probabilistic issues related to dynamical properties of complex systems, with connection to natural and social sciences. In addition to the particle systems underlying classical kinetic theory, examples of such systems that have been studied recently include statistical modeling of rapid granular flows, coalescence-breakage models for jet-bubble flows, mixtures undergoing chemical reactions, swarming behavior in social animals, traffic networks (e.g., vehicular traffic on highways, TCP traffic on the internet, traffic of goods on supply chains), and economic models related to information sharing in large populations, as well as applications to climate modeling via stochastic methods.