An Agent-Based Computational Model of a Self-Organizing Project Management Paradigm for Research Teams

Abstract

We propose a new research organization management paradigm to increase throughput of projects by allowing researchers to choose their own projects through self-organization. Our methods draw upon the field of Agent-Based computational social science where Artificial Life and simulated societies have been used to study complex systems including economies and financial markets. Modeling the researchers as individual agents, we simulate our new management structure against a more traditional organization where the researchers are broken into departments based on their skills and assigned projects by management. Our results, measuring the amount of time it takes a research organization to serve a given number of contracts, show promise in the less hierarchical approach.

Meeting Name

2009 International Joint Conference on Neural Networks, IJCNN '09 (2009: Jun. 14-19, Atlanta, GA)

Department(s)

Electrical and Computer Engineering

International Standard Book Number (ISBN)

978-1424435531

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2009

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