[Asis-l] CFP: DSS Special Issue on Intelligence and Security Informatics: An Information System Perspective

[Michael Chau]

Please accept my apologies if you receive multiple copies of this message.

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Call for Papers
Special Issue of Decision Support Systems
"Intelligence and Security Informatics: An Information System Perspective"

Deadline for submission: August 31, 2003
Guest Editor: Hsinchun Chen, The University of Arizona.
http://ai.bpa.arizona.edu/go/DSS2004/DSS.pdf
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This Special Issue of Decision Support Systems (DSS) will focus on the
topic of "Intelligence and Security Informatics: An Information System
Perspective."

After the tragic events of September 11, 2001, academics have been called
on for possible contributions to research relating to national (and
possibly international) security. As one of the original founding mandates
of the National Science Foundation, mid-to-long term national security
research is critically needed. Similar to medical and biological research
that faces significant information overload and yet also tremendous
opportunities for new innovation, law enforcement, criminal analysis, and
intelligence communities are facing the same challenge. We believe,
similar to "medical informatics" and "bioinformatics," there is a pressing
need to develop the science of "intelligence and security informatics" -
the study of the use and development of advanced information technologies,
systems, algorithms and databases for national security related
applications, through an integrated technological, organizational, and
policy based approach. Many existing computer and information science
techniques need to be re-examined and adapted for national security
applications. New insights from this unique domain could result in
significant breakthroughs in new data mining, visualization, knowledge
management, and information security techniques and systems. For example,
social network analysis technologies and methodologies could be adopted to
uncover and understand terrorist networks to assist the intelligence
community in detecting future attacks. Visual data mining techniques such
as association rules and multi-dimensional information visualization could
be used to identify criminal relationships. Record linkage and string
comparator algorithms could be useful for criminal identity deception
detection.

This special issue encourages research submissions of practical and novel
information technologies, techniques, methods, practices, and systems
(i.e., an information system perspective)  that can contribute to
knowledge in this important emerging field. Submissions on all research
areas relating to intelligence and security informatics are welcome.
Research needs to demonstrate relevance to both informatics and national
security.

Topics include but are not limited to:
- Information interoperability and sharing
- Knowledge discovery and knowledge management
- Criminal data mining, social network analysis, and event detection
- Multimedia intelligence and security information analysis
- Web-based intelligence monitoring and analysis
- Deception detection systems
- Intrusion detection systems and information awareness
- Cybercrime detection and analysis
- Agents and collaborative systems for intelligence sharing
- Crime and intelligence visualization
- Bio-terrorism tracking, alerting, and analysis
- Major (natural and man-made) disaster prevention, detection, and management

For submission guidelines, please refer to the Instructions for Authors at
http://www.elsevier.com/locate/dss. Inquiries can be made to the guest
editor at hchen at bpa.arizona.edu.  Manuscript submissions (four copies of
full articles) should be addressed to:

Professor Hsinchun Chen
Director, Artificial Intelligence Lab and Hoffman E-Commerce Lab
Management Information Systems Department, MCCL 430Z
The University of Arizona
Tucson, AZ 85721
TEL: (520) 621-2748; FAX: (520) 621-2433
http://ai.bpa.arizona.edu/hchen, hchen at bpa.arizona.edu

The deadline for accepting manuscripts for consideration for publication
in this special issue is August 31, 2003.


--
Michael Chau, Ph.D.
Artificial Intelligence Lab
Dept. of Management Information Systems
The University of Arizona
URL: http://ai.bpa.arizona.edu/~mchau/