Dr. Gamba hosts KI-Net Winter School

[[ICES is hosting the first winter school of the new National Science Foundation Research Network in Mathematical Sciences known as KI-Net: kinetic description of emerging challenges in multiscale problems of natural sciences.

Thanks to the NSF grant, participation in the graduate-level short courses are free and open to all Feb. 18-21.

KI-Net was created to encourage cross-fertilization between mathematics and other scientific disciplines, and bring the full range of mathematical techniques to bear on important scientific challenges in multiscale modeling of new phenomena in physical, biological and social sciences. Three universities administer the program: ICES; the Center for Scientific Computation and Mathematical Modeling at the University of Maryland; and the Department of Mathematics at the University of Wisconsin-Madison. Read more.]]

Irene Gamba, professor of mathematics and leader of the ICES Applied Mathematics Group, is the on-site organizer.

The graduate level short courses are an introductory series of lectures on the derivation, analysis and simulations of network structures and kinetic aspects of complex systems models. Such models appear in problems that range from traffic, flocking dynamics, supply chain networks, information exchange or more general dynamics in networks. One of the goals consists into looking at the derivations and dynamics of statistical transients or flows in discrete and continuous probabilistic settings that give rise to statistical transport models. In the last two decades, kinetic equations have emerged as an indispensable tool for a quantitative description of diverse phenomena, from semi-conductors, polymers and plasma, to cell migrations, swarming, and neuron networks, to traffic, social and economic networking. The main objective of KI-Net is encouraging cross-fertilization between mathematics and other scientific disciplines, and bringing the full range of mathematical techniques to bear on important scientific challenges in multiscale modeling of new phenomena in physical, biological and social sciences.