In Case You Missed It

INFORMS Journal Highlights from April 2017

AUTHOR SPOTLIGHT

RAJAN BATTA

“Search theory to me consists of lots of simple, elegant, relevant, and yet unsolved problems. Most of these problems are found in a military setting but increasingly they also occur in humanitarian settings such as search and rescue operations for survivors. I hope that more operations researchers work on these simply stated problems.”

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Co-Chair, Tutorials Committee for 2017 INFORMS Annual Meeting; Member, Scientific Committee for 2017 Transportation Science and Logistics Conference; Past President, Association of Chairs of O.R. Departments (ACORD); Past Chair, Fora Committee
 

David L. Woodruff

INFORMS Journal on Computing
“In practice, the set of optimization problems with uncertain data is almost equal to the set of optimization problems. Stochastic programming can be very effective in many settings, and robust optimization has also recently attracted a lot of attention. This paper extends robust optimization by providing for controlled violation of a non-linear uncertainty set. This increased flexibility enables decision makers to optimize against a notion of worst-case but in a way that buffers them from excessive costs.”

Globalized Robust Optimization for Nonlinear Uncertain Inequalities
Aharon Ben-Tal, Ruud Brekelmans, Dick den Hertog, Jean-Philippe Vial

 

Alok Gupta

Information Systems Research
“Protected Health Information (PHI) is the information privacy provision borne out of HIPAA’s safe harbor protection rule that tries to protects most 'individually identifiable health information' held or transmitted by any entity in any form (electronic or hard copy). When sharing patient health data, organizations are required to comply with this privacy rule. In this paper, however, the authors show that a strict implementation of the HIPAA’s Safe Harbor privacy rule may be inadequate for protecting privacy or preserving data quality. The authors provide evidence from real-world medical text data that the HIPAA’s Safe Harbor rule for de-identifying data can be under-protective (i.e., de-identified data having high disclosure risk) in some cases and over-protective (i.e., resulting in poor data utility) in others. The authors propose and develop a new technique for anonymizing and sharing medical text records. The experiments on several real-world data sets show that the proposed new technique offers better privacy protection and data utility than the Safe Harbor rule does. The new technique alleviates patients’ concerns about loss of privacy and increases their willingness to share their data for medical research and healthcare analytics. The proposed approach may also reduce organizations’ concerns about potential privacy violations and enable them to safely share and release high-quality data for research and analysis.”

Anonymizing and Sharing Medical Text Records
Xiao-Bai Li, Jialun Qin

78
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JOURNAL SPOTLIGHT

Strategy Science

Editor-in-Chief: Daniel A. Levinthal

“What’s just a little over one year old and already creating waves? Strategy Science. It’s been an exciting ‘birth year’ as we have been pleased to publish a number of important contributions to the strategy field examining a diverse set of topics, including basic questions of competitive advantage, competitive positioning, and corporate diversification. It is a set of contributions which make use of a wide range of approaches from qualitative historical studies, large sample empiricism, and formal analytical and computational modeling characteristic of Strategy Science’s commitment to important substantive questions of Business Strategy pursued in an intellectually and methodologically diverse manner.

Led by an outstanding team of Senior Editors (Ron Adner, Dartmouth College; Bill Barnett, Stanford University Laurence Capron, INSEAD, Giovanni Gavetti, Dartmouth College; Javier Gimeno, INSEAD; Michael Lenox, University of Virginia; Joanne Oxley, University of Toronto; Myles Shaver, University of Minnesota; Dennis Yao, Harvard University; Todd Zenger, University of Utah), Strategy Science is able to effectively curate work that does not fit squarely within standard research templates. For instance, we have published careful large sample empirical work that was not structured around a test of hypotheses and have published work that links formal models with lab experiments and with industry case studies. Of course, more traditional methodological approaches in service of interesting insights are welcome as well. The Journal’s structure lends itself to a decisive and informed editorial process. While upholding high and rigorous standards, manuscripts that move forward are able to do so expeditiously.

While 2016 was a wonderful beginning, we look forward to an even brighter 2017. Your contributions as authors, reviewers, and a general readership will make that possible.”

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