CALL FOR TUTORIAL PROPOSALS (DUE: March 4, 2016)
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
Schedule:
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
|