Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of new theories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.

Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.

The journal publishes a number of special issues on focused topics, including organizations of intelligent agents, counter-terrorism, computational statistics for networks, and organizations in crises. In addition, tutorial papers, such as how to check the robustness of a simulation, or system details - such as algorithm descriptions are also welcome. The audience is international in scope. It includes researchers, students, academic, corporate and military personnel in all of the social and organizational disciplines, operations research and graph theory, mathematics, computer science, and management.

Editorial Policy: The refereeing of papers in each of these areas is directed by Area Editors. Authors may recommend reviewers and an Area Editor. Computational and Mathematical Organization Theory publishes relevant book reviews, meeting announcements, and brief notes. Readers will vary in their mathematical and computational experience. The authors should keep this in mind in preparing the manuscript.

Guidelines: For mathematical models: Define non-elementary mathematical symbols. Define all terms before they appear in an equation. For computational models: We do not require that code be provided or shared. However, we would like to encourage the sharing of code, when possible. If possible, information on how to access and run code should be provided. Otherwise, information should be included on whether it is possible to obtain a copy of the code, and if it is possible, how the reader can obtain the code. Information on what language the code was written in, what it was compiled on, average run time, and special portability constraints should be mentioned in a footnote (or in text if this is critical to the papers argument). For new programs, details on the input, output, initial conditions, boundary conditions, and internal processes should be clearly described or diagrammed.

Chief Editors:
Kathleen M. Carley
Carnegie Mellon University: Email - Kathleen.carley@cs.cmu.edu
Terrill L. Frantz
Harrisburg University of Science and Technology: Email - TFrantz@harrisburgu.edu
Areas Editors: 
AGENTS, COMPLEXITY AND EVOLUTION
Michael Prietula, Emory University: Email - prietula@bus.emory.edu 
Bill McKelvey, Anderson Graduate School of Management, UCLA: Email - mckelvey@anderson.ucla.edu 
Jaime Sichman, University of Sao Paulo: Email - jaime.sichman@poli.usp.br
COMPUTATIONAL ECONOMICS, MARKETS AND SYSTEMS
John Sterman, MIT, Sloan School of Management: Email - jsterman@MIT.edu 
Pietro Panzarasa, Queen Mary University of London: Email - p.panzarasa@qmul.ac.uk 
Scott Moss, Manchester Metropolitan University: Email - scott@cfpm.org
COMPUTATIONAL SOCIOLOGY AND SOCIAL COMPUTATION
James A. Kitts, ColumbiaUniversity: Email - jak2190@columbia.edu 
Nigel Gilbert, Surrey, UK: Email - n.gilbert@soc.surrey.ac.uk 
Daniel Dajun Zeng, University of Arizona and Chinese Academy of Sciences: E-mail – zeng@email.arizona.edu
COMPUTATIONAL POLITICAL AND BEHAVIORAL MODELING
Ning Nan, University of British Columbia: E-mail - ning.nan@sauder.ubc.ca
COMPUTATION AND SOCIAL NETWORKS
Carter Butts, University of California, Irvine: Email - buttsc@uci.edu 
Stephen Borgatti, University of Kentucky: Email - sborgatti@uky.edu 
Simon Rodan, San José State University: E-mail: simon.rodan@sjsu.edu 
David Skillicorn, Queen's University: E-mail – skill@cs.queensu.ca 

COMPUTATIONAL ORGANIZATION THEORY
Jerker Denrell, Stanford University: Email - denrell@gsb.stanford.edu 
Brian Kulik, Central Washington University: E-mail – kulikb@cwu.edu 
Zhiang "John" Lin, University of Texas, Dallas: Email - zlin@utdallas.edu