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KI-Net Conference Announcement

Kinetic Description of Social Dynamics: From Consensus to Flocking

Nov 5 - 9, 2012

Ctr for Scientific Computation & Math. Modeling, UMd
University of Maryland, College Park

Visitor Guide




The dynamics of many social and economic networks are described by multi-agent models, in which each participant interacts with the others according to certain deterministic or stochastic rules. The underlying topology of those interactions is not necessarily Euclidean, but governed by a graph, reflecting the fact that agents react to local gradients around them rather than to a given state. Continuum approaches based on kinetic description and coupled with fluid theory provide new insights by bypassing the difficulties related to the discrete nature of such networks.


This conference will bring together leading researchers to review the recent developments of social dynamics, from experimental highlights to theory and simulation. The purpose is building rigorous links between the relevant discrete, kinetic stochastic and continuum transport models with focal topics on self-organized dynamics, ranging from opinion dynamics and supply chains to the dynamics of human crowd and flocking. As part of the overall goal of KI-net, the meeting will promote interdisciplinary research on problems with emerging novel applications.



Irene M. GambaUniversity of Texas at Austin, Department of
Pierre-Emmanuel JabinUniversity of Maryland, Department of Mathematics and
Shi JinUniversity of Wisconsin-Madison, Department of
Christian RinghoferArizona State University, School of Mathematical and Statistical
Eitan TadmorUniversity of Maryland, CSCAMM, Department of Mathematics &


Gil ArielBar Ilan University
Dieter ArmbrusterArizona State University
Robert L. AxtellGeorge Mason University
Alethea BarbaroCase Western Reserve University
Nicola BellomoPolitecnico di Torino
Eshel Ben-JacobTel Aviv University
Eli Ben-NaimLos Alamos National Laboratory
Animikh BiswasUniversity of North Carolina-Charlotte
Luca CapognaUniversity of Minnesota
José A. Carrillo de la PlataImperial College London
Alina ChertockNorth Carolina State University
Matias G. DelgadinoUniversity of Maryland
Fabio FagnaniPolitecnico di Torino
Amic FrouvelleUniversity Paris-Dauphine
Irene M. GambaUniversity of Texas at Austin
Maria GualdaniGeorge Washington University
Matthew HendreyGeorge Mason University
Pierre-Emmanuel JabinUniversity of Maryland
Trygve K. KarperUniversity of Maryland
C. Dave LevermoreUniversity of Maryland
Qin LiUniversity of Wisconsin-Madison
Ming C. LinUniversity of North Carolina at Chapel Hill
Jeng LinGeorge Mason University
Antoine MelletUniversity of Maryland
Sébastien MotschUniversity of Maryland
Derek A. PaleyUniversity of Maryland
Stephen PankavichUnited States Naval Academy
Benedetto PiccoliUniversity of Rutgers-Camden
Thomas ReyUniversity of Maryland
Craig Reynolds
Christian RinghoferArizona State University
Juan D. RodriguezUniversity of Texas at Austin
Jesús Rosado LinaresUniversity of California, Los Angeles
Maria E. SchonbekUniversity of California Santa Cruz
Eitan TadmorUniversity of Maryland
Changhui TanUniversity of Maryland
Andrea ThatcherArizona State University
Ilya TimofeyevUniversity of Houston
Konstantina TrivisaUniversity of Maryland
Lijiang WuCarnegie Mellon University
Victor YakovenkoUniversity of Maryland


A limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows.


Visitor Guide

Ctr for Scientific Computation & Math. Modeling, UMd (CSCAMM,UMd)
Computer Science Instructional Center, Bldg #406, Paint Branch Drive
CSCAMM Seminar Room 4122
College Park, MD




Funding provided by the NSF through the KI-net Grant.