Submission deadline: July 15,
2020 The DAS
Student Paper Award is given annually to the best
decision analysis paper by a
student author(s), as judged by an
award selection committee.
For this
award,
decision analysis is defined as a prescriptive approach to provide insight for
decision making based on axioms that are logically consistent with the axioms of von Neumann and Morgenstern and of Savage. Key constructs of
decision analysis are utility to quantify one's risk preferences and probability to quantify the state of one's knowledge.
The intent of the
award is to recognize the best publication in
decision analysis, by a
student. This includes, but is not limited to, theoretical, methodological, and procedural contributions to
decision analysis, descriptions of applications and experimental studies. Publications addressing behavioral aspects of
decision making are eligible if the relevance to the theory or practice of prescriptive
decision analysis is clear. Nominated publications will be judged for significance, relevance, originality, and readability.
Students who did not complete their Ph.D. prior to May 1, 2019 are eligible for the
2020 competition.
The majority of work, including writing, must be that of the
student, though faculty members or other mentors can be co-authors if appropriate. Papers need not be published, but published, peer-reviewed, papers should be given careful consideration. Unpublished manuscripts should be 30 pages or fewer (double spaced and 11-point font) and in the standard format of the
Decision Analysis journal.
The
award includes an honorarium of $500 and a plaque.
To be considered for this year's competition, please email both committee co-chairs, at the address given below, by the deadline, July 15,
2020, with your final submission of:
(i) An electronic version of your
paper in PDF format, and
(ii) A letter in PDF format from one faculty co-author (if any) articulating your role in writing this
paper 2020 INFORMS
Decision Analysis Society (DAS)
Student Paper Award Co-Chairs
Venkat Prava
Staff Data Scientist
Department of Data Science, Foot Locker Inc.
Email:
venkat.prava@gmail.com<mailto:
venkat.prava@gmail.com>
Asa Palley
Assistant Professor, Department of Operations &
Decision Technologies
Kelley School of Business, Indiana University
Email:
apalley@indiana.edu<mailto:
apalley@indiana.edu>
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Asa Palley
Assistant Professor
Indiana University
Bloomington IN
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