The Agent Technology, Intelligent Systems and Soft Computing mini‑track is focused on the theory and applications of agent technology, intelligent systems and soft computing in management and management support technology. This includes:

· Knowledge based systems

· Software agents and multi-agent systems

· Multiple criteria optimisation and support systems

· Swarm intelligence and ant algorithms

· Genetic algorithms

· Artificial neural nets and self‑organising maps

· Innovative and active DSS

Christer Carlsson (Primary Contact)

IAMSR

Åbo Akademi University

DataCity B 6734

20520 Åbo

FINLAND

christer.carlsson@abo.fi

Masoud Nikravesh

Department of EECS
University of California

Berkeley CA 94720

Phone: (510) 643-4522

Fax: (510) 642-5775

nikravesh@cs.berkeley.edu

Knowledge Discovery for Managerial Decision Support

This minitrack focuses on information systems and decision support aspects of data mining, with emphasis on data, text and Web mining. A representative list of general topic areas would cover, but are not limited to:

New methods and algorithms of data/text mining
The process and new methodologies of conducting data/text mining
Ethical and privacy issues in data/text mining
Novel applications of data mining for better decision making
Data pre-processing related aspect of data/text mining, such as data characterization, data cleaning, data integration, data sampling, data reduction, data visualization, etc.

Dursun Delen (Primary Contact)
Assistant Professor of Management Science and Information Systems
William S. Spears School of Business
Oklahoma State University
700 N. Greenwood Ave.
Tulsa, Oklahoma 74106
Phone: (918) 594-8283 Fax: (918) 594-8281
delen@OKState.EDU

David L. Olson
James & H.K. Stuart Professor of MIS
Department of Management
University of Nebraska
Lincoln, NE 68588-0491
Tel: (402) 472-4521 Fax: (402) 472-5855

dolson3@unl.edu

Operations Research and Computational Modeling Theme

Intelligent Decision Support for Logistics and Supply Chain Management
Information technology (IT) is a prerequisite for successful supply chain management (SCM) today and will become even more so in near future. While IT systems are vital components in supply chains, their successful management rests on coordinated decision making throughout the logistics network. Data warehouses, OLAP and data mining techniques can be used to store and analyze product, inventory, and sales information. Simulation and optimization, which can be found in advanced planning and scheduling systems, can be employed for e.g. inventory, production, procurement, and distribution planning. Intelligent agents can e.g. communicate with different partners in the supply chain, assist in collecting information, share product information, negotiate prices, and distribute alerts throughout the logistics networks. We seek papers dealing with decision technologies which contribute to intelligent decision support in the field of Logistics and SCM. We are especially interested in real-world applications and in software solutions which assist in solving decision problems. Methods include

simulation,
optimization,
heuristics and metaheuristics,
agent technologies and game theoretical approaches,
OLAP and data mining.

Also conceptual ideas, descriptive methods, reports on projects in progress, and case studies are welcome. You may visit http://www1.uni-hamburg.de/IWI/hicss/ for more information.

Andreas Fink (Primary Contact)

Helmut-Schmidt-Universität Hamburg

Lehrstuhl für Wirtschaftsinformatik, Fachbereich WOW

Holstenhofweg 85, 22043

Hamburg

GERMANY

Phone: +49-40-6541-2857

andreas.fink@hsu-hamburg.de

Hans-Jürgen Sebastian

RWTH Aachen University

Department of Operations Research and Logistics Management

Templergraben 64, 52062

Aachen

GERMANY

Phone: +49 241 80 9 61 85

Fax: +49 241 8092-168

sebastian@or.rwth-aachen.de

Stefan Voß

University of Hamburg

Institute of Information Systems

Von-Melle-Park 5, 20146

Hamburg

GERMANY

Phone: +49-40-42838-3062

Fax: +49-40-42838-5535

stefan.voss@uni-hamburg.de

Quantitative and Computational Social Science

This CSS Minitrack seeks papers describing research, methodologies, case studies, and models in the area of quantitative and computational social science models. Papers may be drawn from any area of social science and apply to different problems within the social science discipline. We are particularly interested in papers that describe models used by national or international decision-makers in government and industry that are used to influence decisions in Assessing Nation-State Stability.

Papers are solicited in several areas – leading to possibly two or three papers per session:

· Q/CSS Theory and Models

· Q/CSS Support to Decision Management

· Q/CSS Tools, Techniques, and Methods

· Q/CSS Challenges

· Q/CSS Case Studies

Stephen H. Kaisler (Primary Contact)

Senior Associate

SET Corporation

3811 N. Fairfax Drive, Suite 350

Arlington, VA 22202 USA

Phone: (703) 738-6217; cell: 240-593-0980

Email: skaisler@setcorporation.com

skaisler1@comcast.net

Claudio Cioffi-Revilla

Center for Social Complexity

Krasnow Institute for Advanced Study

235 Robinson Hall MSN 3F4

George Mason University

Fairfax, VA 22030 USA

ccioffi@gmu.edu

Services Computing Theme

Business Models for Mobile Commerce

The minitrack focuses on business models related to mobile commerce, and aims at being a premier presentation forum for the latest ideas and results in the area. Mobile information systems are no longer a novelty, but rather a ubiquitous phenomenon. Now the question is what will drive the future of wireless and mobile industry? We seek research papers, case studies, and practitioner reports related to business models of different stake-holders (e.g. device manufacturers, service providers, system developers and the service providers, operators) in mobile commerce. Of special interest are conceptual and empirical papers analyzing these business models, including product development, marketing, distribution and services as well as revenue logics, of different players or networks. Also of interest are papers identifying the key factors and variables of the different business models as well as limitations in implementing them, studied with either qualitative or quantitative research methods.

Relevant topics for this minitrack include (but not limited to):

Business models

· … in Mobile Entertainment

· … in Mobile Productivity and Enterprise Applications

· … in Mobile Media: Challenges and Opportunities

· Location-based Services and related business models

· WiFi, Bluetooth, RFID and Their Applications and related business models

· Future of Peer to Peer on Mobile Networks and related business models

Matti Rossi (Primary Contact)

Helsinki School of Economics

P.O. Box 1210

FIN-00101 Helsinki

FINLAND

Phone: +358-9-43138996

Fax : +358-9-43138700

matti.rossi@hse.fi

Virpi Kristiina Tuunainen

Helsinki School of Economics

P.O. Box 1210

FIN-00101 Helsinki

FINLAND

Phone: +358-9-43138255

Fax : +358-9-43138700

virpi.tuunainen@hse.fi

Mobile Value Services: Mobile Technology Applications and Value-Adding Products and Services

The Mobile Value Services – Mobile Technology Applications and Value-Added Products and Services minitrack is focused on the theory and applications of mobile value services enabling technologies and business models. This includes [but is not limited to]:

· Localisation and personalisation technology

· Location-based services

· Methods and design approaches for mobile value services

· Multi-agent systems as infrastructure and back office support

· Technologies and solutions for mobile value services

· Consumer behaviour and mobile value services

· Mass customisation methods and technology

Pirkko Walden (Primary contact)

IAMSR, Dept IT, Faculty of Technology

Åbo Akademi University

DataCity
Lemminkainengatan 14 B

20520 Åbo

FINLAND

Phone: +358-2-215-4667
(Mobile) +35840-540-9141
Fax: +358-2-2154809
pirkko.walden@abo.fi

Christer Carlsson

IAMSR

Åbo Akademi University

DataCity B 6734

20520 Åbo

FINLAND

christer.carlsson@abo.fi

Masoud Nikravesh

Department of EECS
University of California

Berkeley CA 94720

Phone: (510) 643-4522

Fax: (510) 642-5775

nikravesh@cs.berkeley.edu

Service Infrastructure Systems

As consumer electronics become more and more sophisticated, future applications can take advantage of their Embedded Web capabilities, facilitating the integration of local devices with commercial services from outside the home. The realization of such tight combinations of households and industry towards universal value-added supply chains poses considerable challenges that have to be met by today's and tomorrow's technology.

The minitrack "Service Infrastructure Systems" is concerned with principles, models, methods and tools for creating and supporting systems that span across multiple services and devices to fulfill the vision of universal value-added supply chains. The scope of interest covers the integration of information appliances into inter-household / -organizational scenarios, as well as approaches related to service-oriented infrastructures that contribute to the realization of an Embedded Web.

Some of the topics to be discussed are the following (the list is not

exhaustive):

* Web Engineering for the Embedded Web

* Infrastructure Building Blocks

* Frameworks & Architectures

* Web Services and the Embedded Web

* Semantic Web Services

* Global applications with Ubiquitous Computing in mind

* Information System Integration

* Mashups, Content Syndication and Aggregation for the Embedded Web

* System Modeling, Maintenance and Evolution

Visit http://www.webengineering.org/hicss40/ for more information.

Martin Gaedke (Primary Contact)

Institute of Telematics
University of Karlsruhe

Zirkel 2

76128 Karlsruhe
Germany

Phone: +49 (721) 608-8076

Fax: +49 (721) 388097

gaedke@tm.uni-karlsruhe.de

Johannes Meinecke

Institute of Telematics
University of Karlsruhe

Zirkel 2

76128 Karlsruhe
Germany

Phone: +49 (721) 608-8072

Fax: +49 (721) 388097

meinecke@tm.uni-karlsruhe.de

Software Agents and Semantic Web Technologies

The Semantic Web seeks to extend the World Wide Web from a web for human users into a web for Software Agents as well, where Software Agents provide a powerful assist to the human users. Before a ubiquitous and Software Agent-enabled Semantic Web can be realized, there are a number of challenging issues in a number of divergent disciplines that must be solved. How can we better gather, fuse, interpret, analyze, and visualize information stored on the Web? How can we provide a rapid and profound understanding of the information that is available on the Web? This minitrack seeks to explore novel, multidisciplinary research in these and other broad issues related to the Semantic Web and the use of Software Agents.

Topics of interest include (but are not limited to):

Software Agents

Usability

Semantic Web

Textual, image, and sensor data analysis

Web Services

Scientific, business, and military data analysis

Grid Computing

Distributed Information fusion and federation

Semantic Grid

Data visualization

Global Information Grid

Ontologies

Security

Mark T. Elmore (primary contact)

Oak Ridge National Laboratory

PO Box 2008 MS6364
Oak Ridge TN 37831-6364

Phone: 865-241-6372

Fax: 865-576-0003

ElmoreMT@ornl.gov

Thomas E. Potok, Ph.D.

Oak Ridge National Laboratory

PO Box 2008 MS6359
Oak Ridge TN 37831-6359

Phone: 865-574-0834

Fax: 865-576-0003

PotokTE@ornl.gov

Towards the Service Oriented Enterprise

The goal of this track is to explore the challenges, issues and opportunities related to services computing within organizations - from conceptualization to practical implementation. We are interested in novel approaches to "Services Oriented Enterprise” and “On-Demand Computing.” SOE/ODC seeks to vitalize organizational effectiveness with services computing ideals, yet many issues and challenges remain under-addressed. Possible topics of applied, field and empirical research include, but are not limited to:

· Theories and approaches for integrating services computing and automated business process management

· Service discovery, modeling, delivery, deployment and maintenance

· Service value chains and innovation lifecycles

· Service-oriented enterprise industry standards and solution stacks

· Service-based grid/utility/autonomic computing infrastructure designs, approaches and implementations

· Service security, privacy and trust

· Ontology, semantic web and business rules for services computing

· Service solution patterns, choreographies, orchestrations and repositories

· Issues, infrastructures, standards, etc. related to federations of service-oriented enterprises

Haluk Demirkan (Primary Contact)

Department of Information Systems

W. P. Carey School of Business

P.O. Box 874606

Arizona State University

Tempe, AZ 85287-4606

Phone: 480-965-9067,

Fax: 480-965-8392

haluk.demirkan@asu.edu

Michael Goul

Department of Information Systems

W. P. Carey School of Business

P.O. Box 874606

Arizona State University

Tempe, AZ 85287-4606

michael.goul@asu.edu

George W. Brown

Intel Corporation

Information Systems and Technology Group, Intel

5000 W. Chandler Blvd.

Chandler, AZ 85226

Phone: 480-554-8080

george.w.brown@intel.com

Chair: Dan Dolk

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Send questions or comments to: hicss@hawaii.edu