Risk Analysis: Celebrating the Accomplishments and Embracing Ongoing Challenges

As part of the celebration of the 40th anniversary of the Society for Risk Analysis and Risk Analysis: An International Journal, this essay reviews the 10 most important accomplishments of risk analysis from 1980 to 2010, outlines major accomplishments in three major categories from 2011 to 2019, discusses how editors circulate authors’ accomplishments, and proposes 10 major risk-related challenges for 2020–2030. Authors conclude that the next decade will severely test the field of risk analysis.     

The value of being precise

This study investigates how individuals assess imprecise information. We focus on two essential dimensions of decision under uncertainty, outcomes and probabilities, and their respective precision. We believe the precision of information is highly relevant in the investment setting, as reflected in the well-known “home (familiarity) bias”, and the outcome and probability dimensions, separately or jointly, may affect investors’ knowledge of uncertainty and perceived risk of the investment options, and subsequently affect investors’ choices. To test this conjecture, we conducted three experiments. Our results show that 1) participants demonstrate a pattern of preference for precision and aversion of extreme vagueness and associate vagueness with higher perceived risk and lower investment (experiments one and two); 2) participants prefer vague outcome information to vague probability information (experiment two); 3) familiarity indeed positively affects the precision of estimated values, but this association is stronger for the outcome dimension than for probabilities (experiment three). Our results confirm that precision in information, especially in the outcome dimension has an impact on investors’ resource allocation choices.     

大数据背景下基于社交网络的聚类随机游走抽样算法研究

数字经济时代,社交网络作为数字化平台经济的重要载体,受到了国内外学者的广泛关注。大数据背景下,社交网络的商业应用价值巨大,但由于其网络规模空前庞大,传统的网络分析方法 因计算成本过高而不再适用。而通过网络抽样算法获取样本网络,再推断整体网络,可节约计算资源, 因此抽样算法的好坏将直接影响社交网络分析结论的准确性。现有社交网络抽样算法存在忽略网络内部拓扑结构、容易陷入局部网络、抽样效率过低等缺陷。为了弥补现有社交网络抽样算法的缺陷,本文结合大数据社交网络的社区特征,提出了一种聚类随机游走抽样算法。该方法首先使用社区聚类算法将原始网络节点进行社区划分,得到多个社区网络,然后分别对每个社区进行随机游走抽样获取样本网 络。数值模拟和案例应用的结果均表明,聚类随机游走抽样算法克服了传统网络抽样算法的缺点,能够在降低网络规模的同时较好地保留原始网络的结构特征。此外,该抽样算法还可以并行运算,有效提升抽样效率,对于大数据背景下大规模社交网络的抽样实践具有重大现实意义。     

浅析电子商务中的信息安全风险评估

本文结合电子商务自身特点,从对信息资产风险对象的确定、风险评估方法选择、评估的具体指标评价和结果的分析后,确定信息资产的风险控制策略。同时从投入与收益的比较选择中,简单分析控制措施选择与成本预算方面的关系。     

Chemical risk communication through the Internet in Spain

In this work, some corporate websites of the chemical industry of Tarragona (Spain) are studied, analysing how the chemical trade associations and companies present information and/or encourage dialogue with the community on issues relating to the chemical risk and their environmental, health and safety (EHS) performance. The results suggest that the chemical industry in Tarragona uses the corporate websites mainly to disseminate information about its EHS commitments and performance, but they do not encourage dialogue with the community through the Internet.     

A modified random-effect procedure for combining risk difference in sets of 2×2 tables from clinical trials

Summary Meta-analyses of sets of clinical trials often combine risk differences from several 2×2 tables according to a random-effects model. The DerSimonian-Laird random-effects procedure, widely used for estimating the populaton mean risk difference, weights the risk difference from each primary study inversely proportional to an estimate of its variance (the sum of the between-study variance and the conditional within-study variance). Because those weights are not independent of the risk differences, however, the procedure sometimes exhibits bias and unnatural behavior. The present paper proposes a modified weighting scheme that uses the unconditional within-study variance to avoid this source of bias. The modified procedure has variance closer to that available from weighting by ideal weights when such weights are known. We studied the modified procedure in extensive simulation experiments using situations whose parameters resemble those of actual studies in medical research. For comparison we also included two unbiased procedures, the unweighted mean and a sample-size-weighted mean; their relative variability depends on the extent of heterogeneity among the primary studies. An example illustrates the application of the procedures to actual data and the differences among the results. This research was supported by Grant HS 05936 from the Agency for Health Care Policy and Research to Harvard University.     

Statistics for weighing benefits and harms in a proposed genetic substudy of a randomized cancer prevention trial

Summary.  When evaluating potential interventions for cancer prevention, it is necessary to compare benefits and harms. With new study designs, new statistical approaches may be needed to facilitate this comparison. A case in point arose in a proposed genetic substudy of a randomized trial of tamoxifen versus placebo in asymptomatic women who were at high risk for breast cancer. Although the randomized trial showed that tamoxifen substantially reduced the risk of breast cancer, the harms from tamoxifen were serious and some were life threaten-ing. In hopes of finding a subset of women with inherited risk genes who derive greater bene-fits from tamoxifen, we proposed a nested case–control study to test some trial subjects for various genes and new statistical methods to extrapolate benefits and harms to the general population. An important design question is whether or not the study should target common low penetrance genes. Our calculations show that useful results are only likely with rare high penetrance genes.     

电子政府的信息网络安全及防范对策

本文从信息网络系统、安全管理、安全技术人才等方面分析了我国电子政府信息网络的安全问题 ,结合我国电子政府的现状与特点 ,提出了电子政府信息网络安全的防范对策 ,即构建一个由网络技术支撑层、网络技术应用层、网络管理层、网络安全人才层组成的信息网络安全体系结构。     

網絡組織成員合作的穩定性模型分析

本文應用博弈論建立了一個網絡組織成員合作的穩定性模型,通過模型分析作者提出網絡組織的穩定性依賴於多種因素,其中,信任機制、懲罰機制是網絡組織穩定的基本因素。本文通過對中國網絡組織的一般性分析,指出特殊主義文化背景下的中國網絡組織的信任機制和懲罰機制更多的來源於非正式制度,而非正式制度作用的空間局限性,是導致中國區際網絡組織穩定性差的重要原因,本文最後提出了中國網絡組織穩定性提升的建議。     

Perception and control of occupational injury risks in fishery--a pilot study

The frequency of occupational accidents in fishery is high in most fishery nations. Implementation of safety measures has, however, been limited. The purpose of the present cross-sectional study was to explore Swedish fishermen's attitudes towards occupational risks and accident control. Information was acquired through a questionnaire distributed to a convenience sample of 92 fishermen. Indices were built, containing variables relevant to perceived risk levels in connection with work, perceived manageability of risks, activity in safety work, technical knowledge and individual attitudes towards risks. The results did not support earlier findings of low risk awareness and risk acceptance among fishermen. Perceived manageability of risks but not perceived risk level, accident experience or risk acceptance, were significantly associated with activity in safety work. The results suggest that safety work might benefit from efforts to develop fishermen's understanding of how the development of hazardous situations can be prevented or managed. The results do not support strategies for accident control in fishery based solely on increasing risk awareness.