Computational Approaches to Social Modeling
Call for Papers
Workshop:
Modern life is infused with a myriad of gadgets and new technologies that are quickly becoming online extensions of our offline lives. How we interact with others, where we are and where we go are all facets that are increasingly captured with ever greater detail by our online tools and gadgets. Digital traces constantly produced by these tools create hitherto unseen possibilities for the study of human behavior, but also pose their own challenges. The avalanche of data we are witnessing demands new tools and concepts to be analyzed and the new problems that are within our reach demand new algorithms and models to be developed.
This workshop aims to bring together practitioners of both computer science and social science so that both may better understand the challenges faced by each other and how best they may collaborate to overcome them.
IMPORTANT DATES:
Workshop papers submission: August 27, 2016
Workshop paper acceptance notification: September 27, 2016
Workshop final camera-ready paper due: October 14, 2016
Topics of Interest:
Topics include, but are not limited to:
• Social Modeling, Theories and Analytics
o Dynamics and Evolution of Social Systems
o Social and Behavioral Changes
o Online Social Movements
o Collective Behavior
o Human Dynamics
o Voter Behavior
o Measures, metrics in characterization of Social Networks
o Digital Epidemiology
o Human mobility, models and data
o Analysis of Proxy Data
o Prediction and Prediction Markets (Wisdom of Crowds)
• Language Variation and Language Use
o Dialects
o Geographical Patterns
o Language Evolution and Language Change
o Impact of language on information diffusion
• Mixed Methods and Methodologies
o combining reactive and non-reactive, obtrusive and unobtrusive research methods for exploring social phenomena
o for collecting and storing social datasets to make research results reproducible and verifiable
o for analyzing biased, selective and incomplete social data on the Web
o for preserving individuals’ privacy while studying social phenomena
• Algorithms, Tools and Applications
o Analysis of social data
o that allow to capture social data
o that exploit social science findings and theories (e.g., tools that detect and prevent mobbing or depressive behavior online)
Submissions:
Due to differing publishing practices of social scientists, physicists and computer scientists, submissions can take 3 forms:
Extended 2 page abstracts of previously published manuscripts
Short papers: should not exceed 8 pages
Full papers: should not exceed 14 pages
All page counts exclude references and any appendix.
Paper submissions must be written in English and should be formatted according to Springer LNCS paper formatting guidelines (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). The review process will be single-blind (i.e., submissions do not need to be anonymized). All papers must be submitted electronically through the EasyChair submission page (https://easychair.org/conferences/?conf=chasm16).
Organizers:
Bruno Gonçalves, New York University Center for Data Science, US
Nicola Perra, Greenwich University, London, UK
Andrea Baronchelli, Department of Mathematics, City University London, UK
PC Members (Alphabetical):
Luca Maria Aiello, Yahoo! Research Barcelona
Sitaram Asur, HP Labs
Alain Barrat, CNRS, France
Javier Borge-Holthoefer, IN3-UOC, Barcelona, Spain
Ciro Cattuto, ISI Foundation
Ed Chi, Google Research
Noshir Contractor, Northwestern University
Munmun De Choudhury, Microsoft Research
Emilio Ferrara, University of Southern California
Daniel Gayo-Avello, University of Oviedo
Przemyslaw Grabowicz, Max Planck Institute for Software Systems
Paul Groth, VU University of Amsterdam *
Brian Keegan, Northeastern University
Kristina Lerman, University of Southern California
Vera Liao, University of Illinois at Urbana-Champaign
Jared Lorince, Indiana University
Elaheh Momemi, University of Vienna
Esteban Moro, Universidad Carlos III de Madrid
Claudia Müller-Birn, FU Berlin
Konstantinos Pelechrinis, University of Pittsburgh
Nathan Poor, The Underwood Institute
Jose Ramasco, University Islas-Baleares
Bruno Ribeiro, Carnegie Mellon University
Rossano Schifanella, University of Turin, Italy
Philipp Singer, GESIS - Leibniz Institute for the Social Sciences
Markus Strohmeier, GESIS - Leibniz Institute for the Social Sciences
Claudia Wagner, GESIS - Leibniz Institute for the Social Sciences
Katrin Weller, GESIS - Leibniz Institute for the Social Sciences
Qian Zhang, Northeastern University
Arkaitz Zubiaga, Dublin Institute of Technology