Academy of Management Annual Meeting 2009

Academy of Management Annual Meeting 2009

Professional Development Workshop
Applied Agent-based Modeling in Management Research (PDW Session 27)
WHEN: Friday August 7, 2009 (8:30am - 1pm)
WHERE: Sheraton Chicago (Huron Room)

Organizers:
Bill McKelvey (UCLA)
mckelvey@anderson.ucla.edu
Mike Prietula (Emory)
prietula@bus.emory.edu

Schedule

Current Schedule and Information or download pdf

Session-Specific Information

  1. Introduction: Why Build a Model
  2. (Mike Prietula, Emory)
    "The evolution of metanorms: quis custodiet ipsos custodes?"

    Slides

  3. How to Build an Agent-Based Model I: CA and GA
  4. (Bill McKelvey, UCLA)
    Slides

  5. How to Build an Agent-Based Model II:  NetLogo
  6. (Bill Rand, Maryland)

    NetLogo - Download .pdf

  7. How to Build an Agent-Based Model III:  RePast Simphony
  8. (Eric Tatara & Jonathan Ozik, Argonne National Laboratory)
    "Visual Agent-Based Model Development With Repast Simphony"

    Repast website: [http://repast.sourceforge.net/]
    Repast documentation and tutorials: [http://repast.sourceforge.net/docs/docs_main.html]

  9. How to Validate an Agent-based Model
  10. (Kathleen M. Carley, CMU)

    Abstract: This talk reviews issues of validation in using ABMs to study complex socio-technical systems. The types of validation available for ABM's are discussed; from face validation to empirical forecasting. The science of validation, well developed in engineering, is based on a series of assumptions that do not hold for most ABM of human socio-cultural systems.

    These assumptions are discussed as is the need for a new science of validation. Discussions of validation will be illustrated from multiple examples of validation activities.

    How to Validate an Agent-based Model

    45 min (35 talk + 10 Q&A)

  11. Publishing Your Research (Editors’ Forum)
  12. (Phil Anderson, INSEAD: Administrative Science Quarterly)
    (Richard Burton, Duke University: Organization Science)
    Slides, "The Validity of Computational Models in Organization Science: From Model Realism to Purpose of the Model"
    (Zhiang “John” Lin, UT Dallas: Computational & Mathematical Organization Theory)
    Slides, "The Performance Consequences of Ambidexterity in Strategic Alliance Formations: Empirical Investigation and Computational Theorizing"

Presenter Bios:

Kathleen M. Carley

Kathleen M. Carley is a Professor at Carnegie Mellon University in the School of Computer Science. She has an interdisciplinary background with a Ph.D. from Harvard in Mathematical Sociology and undergraduate degrees from MIT in Economics and Political Science. Dr. Carley is the director of the center for Computational Analysis of Social and Organizational Systems (CASOS) which has over 25 members, both students and research staff. Her research combines cognitive science, social networks and computer science to address complex social and organizational problems. She is a pioneer in the areas of dynamic network analysis and computational social and organization theory. She and the CASOS center have developed infrastructure tools for analyzing large scale dynamic networks and various multi-agent simulation systems.

The infrastructure tools include: ORA, a statistical toolkit for analyzing and visualizing multi-dimensional geo-temporal networks; AutoMap, a text-mining system for extracting semantic networks from texts and then cross-classifying them using an organizational ontology into the underlying social, knowledge, resource and task networks; and Construct, a multi-agent model for network evolution. Additional simulation models meld multi-agent technology with network dynamics and empirical data and include BioWar a city-scale dynamic-network agent-based model for understanding the spread of disease and illness due to natural epidemics, chemical spills, and weaponized biological attacks. She is the founding co-editor with Al. Wallace of the journal Computational Organization Theory and has co-edited several books in the computational organizations and dynamic network area and over 140 papers.

Zhiang (John) Lin

With a Ph.D. from Carnegie Mellon University, John is an associate professor of organization theory and strategic management at the University of Texas at Dallas.  His research focuses on computational organization theory, social networks, and strategic decision making.  His work has appeared in Organization Science, Management Science, Academy of Management Review, Journal of International Business Studies, Strategic Management Journal, Journal of Management, Journal of Mathematical Sociology, and Computational and Mathematical Organization Theory.  He is currentlyCo-chief Editor for Computational and Mathematical Organization Theory.

Bill McKelvey

Dr. McKelvey is professor of Strategic Organizing & Complexity Science at the UCLA Anderson School of Management. Current writing focuses on philosophy of science, organization science, complexity science, agent-based computational modeling, & complexity leadership. His book, Organizational Systematics (1982) remains the definitive treatment of organizational taxonomy and evolutionary theory. He chaired the building committee that produced the $110,000,000 Anderson Complex at UCLA—opened in 1994; directed over 170 field study teams on 6-month projects concerned with strategic and organizational improvements to client firms; and initiated the founding of UCLA’s Center for Human Complex Systems & Computational Social Science. He has over 70 papers relating complexity science to management.


Richard Burton, Kathleen M. Carley, Mike Prietula, and Zhiang Lin


Richard Burton, Kathleen M. Carley, and Zhiang Lin