Discrete choice models (DCM) aim to characterize, understand, and forecast choices between distinct or discrete choices. DCM have a wide range of applications that include, for example, the assessment of commuter choices in terms of routes and transport modes, customer product choices including health plans, and individual voting preferences, among others. While market forces and personal perception variables are normally assessed based on continuous variables, individual choices are mainly determined by a finite set of discrete alternatives.
Despite the strong interest in DCM— mainly due to its evident range of applications, how players and markets are connected to each other, and how the dynamism of a process can change the landscape of decision planes are still not fully understood.
This satellite conference intends to connect researchers from various disciplines to discuss the current trends and challenges with respect to the application of discrete choice models. Specifically, the meeting aims to identify and investigate fundamental justifications behind discrete choice models and explore the challenges behind model validation. Of special interest is to understand how a dynamic environment shapes the transient profile of the decision landscape of an individual, and what gives rise to these transitions. Such understanding hopes to aid in the development of a more adaptive, reliable, and robust DCM based methodologies. Moreover, it will provide a model framework that captures the complexity of spatial, social and temporal interactions involved in the formation of individual and collective decisions.
The organizers welcome submissions on the following aspects of discrete choice modeling:
Kindly submit your abstracts in pdf format via EasyChair. Submissions should be limited to two pages.
The deadline for submission is on 30 June 2014. The deadline for submissions has been extended until 18 July 2014. All contributions will undergo a peer review process. Acceptance notification will be sent out to the authors on 15 July 2014. The satellite meeting will be held in the afternoon of 24 September 2014, and will be co-located at the ECCS14 in Lucca, Italy.
ALL participants of the TDC satellite meeting must register for the European Conference on Complex Systems 2014.
Dirk Helbing studied physics and mathematics at the University of Göttingen. He completed his doctoral thesis at Stuttgart University, on modeling social processes by means of game-theoretical approaches, stochastic methods, and complex systems theory. In 1998, he became Managing Director of the Institute for Transport and Economics at Dresden University of Technology. He currently heads the ETH Zurich Competence Center "Coping with Crises in Complex Socio-Economic Systems" and the "Physics of Socio-Economic Systems" Division of the German Physical Society. Dirk is known for the social force model, in particular, its application to self-organising phenomena in pedestrian crowds. Recent work applies principles of collective intelligence and self-organized control to the optimization of urban and freeway traffic. His current research activities focus on norms and conflict, the role of success-driven motion for the establishment of cooperation among selfish individuals,the science of science, socio-inspired technology and techno-social systems, disaster spreading and crisis management.
Michael Batty is, by training, an architect-planner and geographer. He is currently Bartlett Professor of Planning (Emeritus) at University College London where he is Chairman of the Management Board of CASA. His research work involves the development of computer models of cities and regions, and he has published many books and articles in this area. His book Cities and Complexity won the Alonso Prize of the Regional Science Association in 2010. His most recent books are The New Science of Cities and the edited volumes Virtual Geographic Environments and Agent Based Models of Geographical Systems. He is the editor of the journal Environment and Planning B: Planning and Design. The work of his group can be seen on the CASA web site and in his blogs here and here.
Dr. Elenna R. Dugundji is e-Science Engineer at the Netherlands e-Science Center and Senior Researcher in Computational Science at the Faculty of Science, Universiteit van Amsterdam. Her research addresses diffusion of innovation and social influence in dynamic networks, focusing on applications in travel behavior and social media. She develops methodologies to study self-consistent behavior with interacting consumers, drawing on techniques in bifurcation theory, statistical physics, multi-agent social simulation, econometrics and geographical information systems. She is co-founder of the bi-annual international scientific workshop series “Frontiers in Transportation: Social Interactions.” She is also a guest editor of special issues in Environment & Planning B: Planning and Design (2008), Transportation Research Part A (2011), Environment & Planning A (2012), Journal of Transport Geography (2013) and Transportation (under development). Dr. Dugundji has also coordinated the comprehensive ICT and education innovation projects “Promoting international, interdisciplinary and inter-institutional education via ICT” and “Scaling-up Network Education” and has consulted for the World Bank Global Development Learning Network.
Bruno Gonçalves completed his joint PhD in Physics, MSc in C.S. at Emory University in Atlanta, GA in 2008 following which he joined the Center for Complex Networks and Systems Research at Indiana University as a post-doctoral research associate. He then joined the Laboratory for the Modeling of Biological and Technical Systems at Northeastern University as an associate research scientist. Currently, he is a faculty member of Aix-Marseille Université in France. His research activity focuses on using computational, visualization and data analysis methods for the study of Complex Systems in a multidisciplinary context. Current projects include detailed epidemic modeling in structured populations; knowledge diffusion on large technological networks; and the study of human behavior through the analysis of proxy social network dynamics. More details on his research can be found at Bruno's homepage.
Christopher Monterola is a Senior Scientist at the A*STAR Institute of High Performance Computing (IHPC). He is the Capability Group Manager of the Complex Systems Group (CxSy) at the IHPC, and the Principal Investigator of the Complexity Science Programme (CSP) under A*STAR's Urban Systems Initiative. Prior to Singapore, Chris was a postdoctoral fellow at the Max Planck Institute for the Physics of Complex Systems. He obtained a Ph.D. in Physics in 2002 from the National Institute of Physics, University of the Philippines, Diliman where he was an Associate Professor. Chris's research expertise involve: the study of complex systems including urban and bio complexity, computational and statistical physics, complex networks, and machine learning. More details on his research can be found at Chris's website.