Journal: Risk Analysis

Abbreviation

Risk Anal.

Publisher

Wiley

Journal Volumes

ISSN

0272-4332
1539-6924

Description

Filters

2011 - 201982020 - 20258
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Publications 1 - 10 of 16
  • “Chemophobia” Today: Consumers’ Knowledge and Perceptions of Chemicals
    Item type: Journal Article
    Saleh, Rita; Bearth, Angela; Siegrist, Michael (2019)
    Risk Analysis
  • Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities
    Item type: Journal Article
    Sun, Li; Stojadinovic, Bozidar; Sansavini, Giovanni (2019)
    Risk Analysis
  • Communicating low-probability high-consequence risk, uncertainty and expert confidence: Induced seismicity of deep geothermal energy and shale gas
    Item type: Journal Article
    Knoblauch, Theresa A.K.; Stauffacher, Michael; Trutnevyte, Evelina (2018)
    Risk Analysis
  • Risk Perception: Reflections on 40 Years of Research
    Item type: Journal Article
    Siegrist, Michael; Árvai, Joseph L. (2020)
    Risk Analysis
    Numerous studies and practical experiences with risk have demonstrated the importance of risk perceptions for people's behavior. In this narrative review, we describe and reflect upon some of the lines of research that we feel have been important in helping us understand the factors and processes that shape people's risk perceptions. In our review, we propose that much of the research on risk perceptions to date can be grouped according to three dominant perspectives and, thus, approaches to study design; they are: the characteristics of hazards, the characteristics of risk perceivers, and the application of heuristics to inform risk judgments. In making these distinctions, we also highlight what we see as outstanding challenges for researchers and practitioners. We also highlight a few new research questions that we feel warrant attention.
  • Tampering with Nature: A Systematic Review
    Item type: Review Article
    Hoogendoorn, Gea; Sütterlin, Bernadette; Siegrist, Michael (2021)
    Risk Analysis
    Tampering with nature has been shown to be a strong, and sometimes even the strongest, predictor of the risk perception and acceptance of various technologies and behaviors, including environmental technologies, such as geoengineering. It is therefore helpful to understand what tampering with nature is as a construct, to which factors it relates, and when a technology or behavior is perceived as such. By means of a systematic review, we show that very little systematic research has been conducted on tampering with nature. Because tampering with nature has not yet been clearly defined, no systematic operationalization of tampering with nature has been used in the current literature. We show that tampering with nature is often used interchangeably with other constructs, such as naturalness. Based on the literature, we suggest that tampering with nature is related to and possibly influenced by three other constructs, which are naturalness, morality, and controllability. We discuss the influence of tampering with nature on the acceptance and risk perception of various technologies and behaviors and make suggestions for future research needs in order to better understand this construct.
  • Introduction to Resilience Analytics for Cyber–Physical–Social Networks
    Item type: Other Journal Item
    Barker, Kash; Ramirez‐Marquez, Jose E.; Sansavini, Giovanni (2019)
    Risk Analysis
  • Artificial Intelligence and Nuclear Weapons Proliferation: The Technological Arms Race for (In)visibility
    Item type: Journal Article
    Allison , David M.; Herzog, Stephen (2025)
    Risk Analysis
    A robust nonproliferation regime has contained the spread of nuclear weapons to just nine states. Yet, emerging and disruptive technologies are reshaping the landscape of nuclear risks, presenting a critical juncture for decision makers. This article lays out the contours of an overlooked but intensifying technological arms race for nuclear (in)visibility, driven by the interplay between proliferation-enabling technologies (PETs) and detection-enhancing technologies (DETs). We argue that the strategic pattern of proliferation will be increasingly shaped by the innovation pace in these domains. Artificial intelligence (AI) introduces unprecedented complexity to this equation, as its rapid scaling and knowledge substitution capabilities accelerate PET development and challenge traditional monitoring and verification methods. To analyze this dynamic, we develop a formal model centered on a Relative Advantage Index (RAI), quantifying the shifting balance between PETs and DETs. Our model explores how asymmetric technological advancement, particularly logistic AI-driven PET growth versus stepwise DET improvements, expands the band of uncertainty surrounding proliferation detectability. Through replicable scenario-based simulations, we evaluate the impact of varying PET growth rates and DET investment strategies on cumulative nuclear breakout risk. We identify a strategic fork ahead, where detection may no longer suffice without broader PET governance. Governments and international organizations should accordingly invest in policies and tools agile enough to keep pace with tomorrow's technology.
  • Comparative Human Health Impact Assessment of Engineered Nanomaterials in the Framework of Life Cycle Assessment
    Item type: Journal Article
    Fransman, Wouter; Buist, Harrie; Kuijpers, Eelco; et al. (2017)
    Risk Analysis
  • An Optimization-Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards
    Item type: Journal Article
    Fang, Yi-Ping; Sansavini, Giovanni; Zio, Enrico (2019)
    Risk Analysis
  • Support for the Deployment of Climate Engineering: A Comparison of Ten Different Technologies
    Item type: Journal Article
    Jobin, Marilou; Siegrist, Michael (2020)
    Risk Analysis
Publications 1 - 10 of 16