Track: Decision Technologies and Service Sciences
Minitrack:Quantitative/Computational Social Science and
-------------- Modeling

The Quantitative and Computational Modeling (Q/CM) Minitrack seeks papers describing research, methodologies, case studies, and models in the area of quantitative and computational modeling in the physical, biological, and social sciences and the methods and infrastructure to support them. Papers may be drawn from any area of the social and computational sciences and apply to different problems within the particular scientific discipline. The minitrack is particularly interested in papers that describe models used by national or international decision-makers in government and industry that are used to influence decisions real world applications.

For HICSS-42, arrangements have been made for selected papers from this mini-track to be published into a special issue of the Journal of Information Systems and E-Business Management , edited by Professor Michael Shaw, University of Illinois - Urbana-Champaign. Drs. Madey and Kaisler will be Guest Editors for this Special Issue.

Topics and research areas include, but are not limited to:
Q/CSS & CM Theory and Models: Papers are solicited that describe the application of innovative concepts and theories to the modeling of complex phenomena. Because our emphasis is on computation, the paper must describe a computer-based model. Cross-comparison of several tools, particularly with reference to a specific problem domain, using an accepted methodology is of interest.

Q/CSS & CM Support to Decision Management: Papers describing how Q/CSS & CM models have been used to support decision making by government and business leaders are solicited. Here, emphasis is more on use of the tool to produce actionable information for the decision-maker.

Q/CSS & CM Tools, Techniques, and Methods: Papers describing specific innovative tools and techniques and emerging methods are solicited. However, such papers must also describe the application which the tool supports and how it has been used as an element of the decision-making process.

Q/CSS & CM Challenges: Papers addressing Q/CSS & CM challenges, such as data gathering and preparation, validation and verification, scalability, predictive ability, the -ilities, and tractability of computational methods. Integration of several Q/CSS & CM methods is an area of explicit interest.

Q/CSS & CM Case Studies and Applications: Papers addressing the application of Q/CSS & CM techniques to specific domains with emphasis on construction, use, validation, verification, and metrics are solicited.

Co-chairs:
Stephen H. Kaisler (Primary Contact)
Logos Technologies, Inc.
3811 N. Fairfax Drive, Suite 350 Arlington, VA 22202, USA
Phone: +1-240-593-0980
Email: Skaisler@Logos-Technologies.com, Skaisler1@comcast.net

Gregory Madey
College of Engineering
University of Notre Dame
384 Fitzpatrick Hall, Notre Dame, IN 46556, USA
Phone: +1-574-631-8752
Email: gmadey@nd.edu