Citation

Choi TM, Lambert JH. Risk Anal. 2017; 37(8): 1435-1442.

Affiliation

Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA.

Copyright

(Copyright © 2017, Society for Risk Analysis, Publisher John Wiley and Sons)

DOI

10.1111/risa.12859

PMID

28800380

Abstract

With cloud computing, Internet-of-things, wireless sensors, social media, fast storage and retrieval, etc., organizations and enterprises have access to unprecedented amounts and varieties of data. Current risk analysis methodology and applications are experiencing related advances and breakthroughs. For example, highway operations data are readily available, and making use of them reduces risks of traffic crashes and travel delays. Massive data of financial and enterprise systems support decision making under risk by individuals, industries, regulators, etc. In this introductory article, we first discuss the meaning of big data for risk analysis. We then examine recent advances in risk analysis with big data in several topic areas. For each area, we identify and introduce the relevant articles that are featured in the special issue. We conclude with a discussion on future research opportunities.

© 2017 Society for Risk Analysis.

Language: en

Keywords

Big data; data analytics; risk analysis; risk assessment; risk communication; risk management; security