Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76091
Title: Advances in risk analysis with big data
Authors: Choi, TM 
Lambert, JH
Keywords: Big data
Data analytics
Risk analysis
Risk assessment
Risk communication
Risk management
Security
Issue Date: 2017
Publisher: Wiley-Blackwell
Source: Risk analysis, 2017, v. 37, no. 8, special issue SI, p. 1435-1442 How to cite?
Journal: Risk analysis 
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.
URI: http://hdl.handle.net/10397/76091
ISSN: 0272-4332
EISSN: 1539-6924
DOI: 10.1111/risa.12859
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