CASOS 2006 Summer Institute

June 12 - 18, 2006

  • Where?
    • Pittsburgh, PA, Carnegie Mellon University, Robert Engineering Hall - Singleton Room
  • When?
    • June 12 - 18, 2006 (dorm check-in begins @ 3PM on June 12)
  • Who participates? Participation is open to graduate students, faculty, and personnel from industry and government. Due to space restrictions we are limited to approximately 35 attendants per year.
    Registration Fee:
    • CMU Students: $375
    • Grad Students: $675
    • Faculty: $950
    • Industry: $1300
  • MAC Address Registration **NEW**

  • everyone bringing their laptop (MAC or PC) must provide this information
    please email your info to Ed Walter

  • Where to stay?
  • Agenda
  • Campus Map
  • Reading List
  • Logistics
  • Pittsburgh
  • Purpose:

    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. Computer programming and basic social or organizational theory are not included under the topics covered.

    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 program.The platforms students will work with include ORA, AutoMap, Construct, and UCINET.

    Students are encouraged to bring their own data and to learn to use these tools to code, analyze, reason about and visualize there data. Students will work through a tool chain where they extract networks from texts, analyze those networks, and the using simulation techniques evolve those networks.

    Institute Curriculum:

    The 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
    • Elementary link analysis
    • Network based grouping techniques - Cliques, fuzzy groups, newman-girvan
    • Network based text analysis techniques
    • Basic Approach to building and evaluating multi-agent simulation systems
    • Basic machine learning/optimization techniques for use in multi-agent simulation - e.g., simulated annealing
    • Adaptive, Evolutionary, and Learning Systems
    • Validation and docking
    • David Krackhardt
    • Steve Borgatti
    • Kathleen M. Carley


  • Dormitory:
    For students dormitory rooms will be available. All other attendees will need to book a room in a local hotel. Wyndham and the Holiday Inn are the hotels closest to CMU.

    CMU Dormitory Room Rates (air conditioned):
    $26.30 per person in a double room
    $52.60 for 1 person in a double room

    Note: The 40 spaces availible will be reserved on a first come first served basis

    Each participant will be able to pay online using his/her credit card.
    You can also indicate if you will need parking
    Click here to reserve a room online
  • Hotels:
    1. Shadyside Inn
      5405 Fifth Ave,
      Pittsburgh PA 15232
      Ph# 412-682-2300
    2. Wyndham Garden Hotel
      University Place
      3454 Forbes Ave
      Pittsburgh, PA 15213
      Ph# 412-683-2040