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KI-Net Conference Announcement

Collective Dynamics in Biological and Social Systems

Nov 19 - 22, 2015

Department of Mathematics, Duke University
Duke University

Duke Visitor Guide




The emergence of collective dynamics is a fascinating phenomenon which arises in different context of biological and social systems. Many such systems are modeled by transport equations such as Keller-Segel-based models for chemotactic phenomenon and Cucker-Smale model for flocking. Due to the complexity of these phenomena, transport equations might contain new mathematical difficulties (e.g non-conservative system, non-hypberbolic PDE) with many open questions for both numerical and analytical studies. Moreover, many of these systems are multiscale phenomenon (e.g. from individual cells to functional organs) leading to both microscopic and macroscopic descriptions. Kinetic equations play a key role in linking these scales.


This workshop is a followup of the meeting held at NCSU in 2013. It aims at bringing together researchers with diverse expertise on collective dynamics in biological and social systems, from experimentalists to applied mathematicians. Our goal is to stimulate interdisciplinary discussions on new developments, with a particular focus on comparing models, experimental data and numerical studies. A second line of discussions focuses on the new mathematical challenges raised by these models, e.g. link between micro and macro descriptions, complex traffic and network optimization and pattern formation.



Alina ChertockNorth Carolina State University, Department of
Jian-Guo LiuDuke University, Department of Physics and Department of
Jianfeng LuDuke University, Department of


Aylin AydogduRutgers University - Camden
Thomas BanksNorth Carolina State University
Alethea BarbaroCase Western Reserve University
Jacob BedrossianUniversity of Maryland
Ying ChenDuke University
Alina ChertockNorth Carolina State University
Sarah El JamousArizona State University
Wai-Tong (Louis) FanUW-Madison
Di FangUniversity of Wisconsin-Madison
Razvan FetecauSimon Fraser University
Francis FilbetPaul Sabatier University, Toulouse III
Gregory ForestUniversity of North Carolina at Chapel Hill
Siming HeUniversity of Maryland, College Park
Jingwei HuPurdue University
Hengrui HuNorth Carolina State University
Alexander KurganovTulane University
Doron LevyUniversity of Maryland
Jian-Guo LiuDuke University
Alexander LorzUniversité Pierre et Marie Curie - Paris 6 (UPMC)
Jianfeng LuDuke University
Mauro MaggioniDuke University
Nader MasmoudiNew York University
Sean T. McQuadeRutgers-Camden
Sébastien MotschArizona State University
Ryan MurrayCarnegie Mellon University
James NolenDuke University
Seyma N. OzcanNorth Carolina State University
Robert PegoCarnegie Mellon University
Nastassia Pouradier DuteilRutgers University (Camden)
Zhuolin QuTulane University
Nancy RodriguezUniversity of North Carolina at Chapel Hill
Martin ShortGeorgia Tech
Dejan SlepcevCarnegie Mellon University
Yi SunUniversity of South Carolina
Eitan TadmorUniversity of Maryland
Qi WangUniversity of South Carolina and Beijing Computational Science Research Center
Li WangUniversity of California, Los Angeles
Jinhuan WangLiaoning University
Zhenfu WangUniversity of Maryland
Lizhen WangDuke University
Thomas P. WitelskiDuke University
Tong WuNorth Carolina State University
Xu YangUniversity of California, Santa Barbara
Glenn YoungUniversity of Pittsburgh
Yuan ZhangUCLA
Jia ZhaoUniversity of South Carolina
Zhennan ZhouDuke University


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.


Duke Visitor Guide

Department of Mathematics, Duke University (Duke)
Science Drive, Duke University, Durham, NC 27708
Durham, NC




Funding provided by the NSF through the KI-net Grant. Additional support was provided by the Department of Mathematics, Duke University