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KI-Net Conference Announcement

Modeling and Control in Social Dynamics

Oct 6 - 9, 2014

Department of Mathematics, RU-Camden
Rutgers University - Camden

Visitor Guide



CONFERENCE SCHEDULE



ABSTRACT

There is an increasing interest in models of “social dynamics” in a number of different fields, where “active” agents interact through rules which are motivated by “social” features. This leads to “self-organization”, i.e. the emergence of complicated yet often times very efficient group configurations. Examples are found in different disciplines: animal groups in biology (e.g. murmuration of starlings), crowd dynamics (e.g. zipper effect at bottlenecks) and social networks (e.g. centrality of leaders).

Even if specific examples vary with the specific features of interacting agents, general mathematical frameworks capture the relevant mechanisms of self-organization. Within the broad perspective, the meeting will focuson systems reproducing consensus, flocking and alignment phenomena and on their control.

GOALS

The goal is to provide a platform for collaboration between mathematicians and experts studying self-organized group behavior in the context of different disciplines --- economics, sociology, business, psychology, etc., who are interested in novel modeling, analysis and simulations of social dynamics. In particular, invited talks at this meeting aim at:

1. Providing a wide panorama of the available mathematical models for social dynamics;

2. Presenting a number of problems from social sciences and economics, presented by expert in the fields, which are amenable of and advanced mathematical modeling;

3. Identify specific research areas of interests, where the need of modeling is still open or need to reach next step.

 

REGISTRATION CLOSED

ORGANIZERS

NameAffiliationEmail
Pierre DegondImperial College London, Department of Mathematicspierre.degond@gmail.com
Gadi FibichTel Aviv University, Applied Mathfibich@tau.ac.il
Sébastien MotschArizona State University, School of Mathematical & Statistical Sciencessmotsch@asu.edu
Benedetto PiccoliRutgers University-Camden, Department of Mathematical Sciencespiccoli@camden.rutgers.edu
Eitan TadmorUniversity of Maryland, CSCAMMtadmor@cscamm.umd.edu

CONFIRMED PARTICIPANTS

NameAffiliation
Dieter ArmbrusterArizona State University
Igor AronsonArgonne National Laboratory
Aylin AydogduRutgers University - Camden
Nicola BellomoPolitecnico di Torino
Eli Ben-NaimLos Alamos National Laboratory
Nawaf Bou RabeeRutgers University - Camden
Daniel BubbRutgers University - Camden
Marco CaponigroCNAM, Paris
Scott DavisRutgers University-Camden
Magnus EgerstedtGeorgia Institute of Technology
Gadi FibichTel Aviv University
Massimo FornasierTechnical University of Munich
Livio GibelliPolitecnico di Torino
Stacia Gilliard-MatthewsRutgers-Camden
Rainer HegselmannUniversitat Bayreuth
Pierre-Emmanuel JabinUniversity of Maryland
Debashis KusharyRutgers University - Camden
Albert LeeRutgers University
Minyoung LeeRutgers
Naomi E. LeonardPrinceton University
Sean T. McQuadeRutgers-Camden
Sébastien MotschArizona State University
Mahesh NerurkarRutgers Camden
George J. PappasUniversity of Pennsylvania
David PedersenRutgers School of Business-Camden
Benedetto PiccoliRutgers University-Camden
Nastassia Pouradier DuteilRutgers University - Camden
Christian RinghoferArizona State University
Nancy RodriguezUniversity of North Carolina at Chapel Hill
William SaidelRutgers-Camden
Juan SolerUniversity of Granada
Luyu SunUniversity of Maryland
Eitan TadmorUniversity of Maryland
Changhui TanRice University
Andrea TosinConsiglio Nazionale delle Ricerche
Magali TournusINRIA Rocquencourt
Li WangSUNY Buffalo
Victor YakovenkoUniversity of Maryland


FUNDING

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.

INFORMATION FOR PARTICIPANTS

Visitor Guide

Department of Mathematics, RU-Camden (RU-Camden)
Waterfront Technology Center
200 Federal Street
Camden, NJ

Email: mcsd14@cscamm.umd.edu

ACKNOWLEDGMENT

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