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Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities
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Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities

Wenjing Shena and Wenjing Shen
Interfaces, v 47(1), pp 106-108
01 Jan 2017
url
https://doi.org/10.1287/inte.2016.0880View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Business & Economics Management Operations Research & Management Science Science & Technology Social Sciences Technology
In Book Reviews, we review an extensive and diverse range of books. They cover theory and applications in operations research, statistics, management science, econometrics, mathematics, computers, and information systems. In addition, we include books in other fields that emphasize technical applications. The editor will be pleased to receive an email from those willing to review a book, with an indication of specific areas of interest. If you are aware of a specific book that you would like to review, or that you think should be reviewed, please contact the editor. The following books are reviewed in this issue of Interfaces, 47(1), January-February 2017: Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities, Michael P. Johnson, Jeffrey M. Keisler, Senay Solak, David A. Turcotte, Armagan Bayram, and Rachel Bogardus Drew; Linear and Mixed Integer Programming for Portfolio Optimization, Renata Mansini, Wlodz-imierz Ogryczak, and M. Grazia Speranza.

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Web of Science research areas
Management
Operations Research & Management Science
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