Call for Papers: Decision Analysis Journal Special Issue on Graph-Based Methods for Decision Analysis
http://da.pubs.informs.org/Call_GBM.htm Decision Analysis, INFORMS's newest peer-reviewed journal, is soliciting submissions for a special issue on graphical models for representing and reasoning about decision problems in decision analysis, computational sciences, and affiliated fields. Articles may focus on theoretical foundations and/or real-world applications and experiences with graphical models for decision making, including influence diagrams, Bayesian networks, and related representations. Eric Horvitz of Microsoft Research will serve as guest editor for the special issue, tentatively scheduled for publication in 2005. Special Feature: "Influence Diagrams" by Howard and Matheson As a centerpiece for the special issue, we plan to publish the classic manuscript "Influence Diagrams" by Ron Howard and Jim Matheson. Although this paper has had immense impact since it was written in the late 1970s, it received only limited distribution and has never appeared in the open literature. We hope that this long-awaited archival publication of "Influence Diagrams" will inspire current researchers to submit outstanding original contributions that reflect the current state of the art in graph-based methods and applications. Submission Information Authors interested in submitting manuscripts for consideration in the special issue should send a proposed title and abstract by March 1, 2004, and submit the full manuscript by May 1, 2004. Both abstracts and final papers should be sent by email attachment to guest editor Eric Horvitz ([EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]> ) and, simultaneously, to Bob Clemen ([EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]> ), co-editor-in-chief of the journal. All submissions will be peer reviewed. For information about the journal, including instructions to authors, please visit http://da.pubs.informs.org <http://da.pubs.informs.org/> . We also encourage authors to review the journal's editorial objectives below and to ensure that submissions are suitable for the journal in both style and substance. Editorial Objectives Decision Analysis (http://da.pubs.informs.org/) is dedicated to advancing the theory, application, and teaching of all aspects of decision analysis. The primary focus of the journal is to develop and study operational decision-making methods, drawing on all aspects of decision theory and decision analysis, with the ultimate objective of providing practical guidance for decision makers. As such, the journal aims to bridge the theory and practice of decision analysis, facilitating communication and the exchange of knowledge among decision analysts in academia, business, industry, and government. Articles will contribute to these goals in many ways, using a wide variety of methods and approaches. Appropriate topics include the discussion of new or existing algorithms, procedures, or processes for implementing decision analysis; cognitive, organizational, or social issues in applying decision analysis; innovative uses of information technology to perform decision analysis; issues in applying decision analysis to real-world situations; and other topics that further the theory and practice of decision analysis. The journal also publishes articles that review and summarize important topics or advances of interest to decision analysts or that provide original historical, scholarly, or practical perspectives on the field. In addition, the journal encourages articles that support the teaching of best practices, such as state-of-the art applications, case studies, and tutorial articles on decision-analysis methods
