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Registration is now open for the 8th annual CASOS Summer Institute.
Meeting dates: 23 - 29 June 2008; Monday - Sunday (7 days).
Location: Carnegie Mellon University, Pittsburgh, PA, USA.
Instructional Faculty: Kathleen M. Carley, David Krackhardt, & Lee
Wagenhals, & others
Note: Since, historically, the Summer Institute becomes fully booked,
you should register early!
The hands-on curriculum builds on both social network and computational
analysis techniques, and illustrates how to use these techniques to
study social, organizational and policy issues.
Topics Covered Include:
Social Network Analysis
Dynamic Network Analysis (multi-mode, multi-network)
Network grouping techniques - Cliques, fuzzy groups, Newman-Girvan
Unstructured text extraction to network representation, and analysis
Basic Approach to building and evaluating multi-agent simulation systems
Simulation model validation and docking
Hands-on introduction to CASOS tools: ORA, AutoMap, and Construct
The purpose of the CASOS Summer Institute is to provide an intense and
hands-on introduction to dynamic network analysis and computational
modeling of complex socio-technical systems. Both network analysis and
multi-agent modeling will be covered. Participants will be able to
complete the institute without programming skills or in-depth
understanding of particular social theories.
Participants learn about current trends, practices, and tools available
for social networks analysis, link analysis, simulation, and multi-agent
modeling. Basic social network and dynamic network representations,
statistics, analysis and visualization techniques are covered.
Techniques for designing, analyzing, and validating computational models
with and without network components are presented. There is also an
emphasis on appropriate and inappropriate ways to critique computational
models and network analyses. The strengths and weaknesses of
computational and network approaches to examining complex
socio-technical issues are discussed. Multiple computational platforms
are explored and hands-on experience are provided. An examination of
social network methods, complexity theory and procedures for integrating
network-based metrics and statistics into computational models completes
The software tools students will learn and work with include: ORA,
AutoMap, and Construct, which are network analysis, information
extraction, and simulations tools, respectively, that are developed at
CASOS and widely used globally in business, government, and education.
Students are encouraged to bring their own data and to learn to use the
CASOS tools to code, analyze, reason about and visualize there data.
Hands-on instruction and assistance will be provided on how to import
data to ORA from CSV files, SQL databases, email servers, UCINET
formats, PenLink, I2/Analyst Notebook and other raw data formats.
Students will work through a tool chain where they extract networks from
texts, analyze those networks, and the using simulation techniques
evolve those networks.
For more information and details, see the Summer Institute website:
Carnegie Mellon University
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