2016 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation
June 28 - July 1, 2016, UCDC Center, Washington DC, USA


The 2016 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP-BRiMS) is a multidisciplinary conference with a selective single paper track and poster session. The SBP-BRiMS conference provides a forum for researchers and practitioners from academia, industry, and government agencies to exchange ideas on current challenges in social computing, behavioral modeling and prediction, and on state-of-the-art methods and best practices being adopted to tackle these challenges. Interactive events at the conference are designed to promote cross-disciplinary contact.

As part of the SBP-BRiMS program, we cordially invite proposals for tutorials from active researchers and experienced tutors in academia, industry, and government agencies. Ideally, a tutorial will cover the state-of-the-art research and ideas, innovative developments, and novel applications in a specific aspect of social computing, behavioral modeling and prediction.

There will be a total of nine (9) three-hour tutorials.

If you are interested in giving a tutorial, please send your proposal in plain text or PDF to the tutorial chair (Yu-Ru Lin) with the following items specified:

1. Title of the tutorial
2. Short one-page description of the tutorial topic and expected audience (including the expected backgrounds of the attendees)
3. Short bio and contact information of the organizers

The accepted proposal presenters should provide comprehensive tutorial notes or slides to the tutorial audience free of charge.

Tutorial Chair: Yu-Ru Lin


ยท Proposal Due: March 4, 2016

Tuesday, June 28

Time Tutorial Sessions
Registration begins at 8am
Morning Tutorials
8:30am - 11:30am

Deep Learning Applied
Alexander G. Ororbia II, Pennsylvania State University

Dynamic & Geo-Spatial Network Visualization and Analysis
L. Richard Carley, Carnegie Mellon University & Netanomics

Generative models for social network data
Kevin S. Xu & TBA, University of Toledo

Afternoon Tutorials
12:00pm - 3:00pm

An Introduction to Computational Urban Science
Konstantinos Pelechrinis, University of Pittsburgh & Daniele Quercia, Bell Labs

Identifying Covert or Hidden Groups in Twitter
Lieutenant Colonel Matthew Benigni & Kathleen M. Carley, Carnegie Mellon University

Exploring Public Events Using Social Media Data: Challenges in Extraction, Modeling and Analyzing
Yuheng Hu, University of Illinois at Chicago

Late Afternoon Tutorials
3:30pm - 6:30pm

Misinformation in Social Media: Diffusion, Detection and Intervention
Liang Wu, Fred Morstatter, and Huan Liu, Arizona State University

Network Analytics in ORA
Geoffrey Morgan & Kathleen M. Carley, Carnegie Mellon University

Analyzing User behaviors via Data Visualization Techniques
Nan Cao, NYU ShangHai / NYU Tandon School of Engineering & Yu-Ru Lin, University of Pittsburgh