Data Sharing Policy

Risk Analysis encourages authors to share the data and other artefacts supporting the results in the paper by archiving it in an appropriate public repository. Authors may provide a data availability statement, including a link to the repository they have used, in order that this statement can be published in their paper. Shared data should be cited. All accepted manuscripts may elect to publish a data availability statement to confirm the presence or absence of shared data. If you have shared data, this statement will describe how the data can be accessed, and include a persistent identifier (e.g., a DOI for the data, or an accession number) from the repository where you shared the data. You may use the Standard Templates for Author Use or draft your own.

Call for Papers

Special Issue on “Artificial Intelligence for Risk Analysis and the Risks of AI”

The artificial intelligence-machine learning (AI-ML) revolution is affecting our society in several ways. Machine intelligence is becoming increasingly important for human activities, with new technologies automating tasks and augmenting human capabilities at a rapidly accelerating pace. This special issue aims to explore both the latest developments in AI-ML technologies that support risk analysis and risk-informed decision-making, as well as the risks that these technologies bring to our lives, companies, and institutions. Click here to read the full call for papers. 

EXTENDED Submission Deadline: February 29, 2024. 

Call for Papers

Special Issue on "Integration of risk warning and emergency response to extreme disasters: The role of emerging technologies"

Extreme disasters occur more frequently with the evolution of global risk society and increasing uncertainty of environments. For example, climate change, increasingly extreme weather and seismic events have caused a surge in severely damaging disruptions to communities exposed to natural hazards over the past 50 years (WMO, 2023). The records of the past 40-50 years show that the longterm average number of major earthquakes has exceeded that predicted by long-term records since 1900 about a dozen times (USGS, 2023). The research during COVID-19 also reminds the world to be ready to respond to next pandemic (WHO, 2023). Click here to read the full call for papers. 

Submissions Deadline: May 31, 2024

Best Paper & Reviewer Awards

Every year, the Editorial staff of Risk Analysis selects the papers from that year that have made the most significant impacts to the theory or practice of risk analysis. The staff also selects reviewers that have contributed high quality reviews to recognize their extraordinary efforts and contributions to the journal. The certificates are awarded at the SRA’s Annual Meeting.

1. "Preferences for Prevention: People Assume Expensive Problems Have Expensive Solutions" by Talbot Andrews and John Ryan
2. "Examining Insensitivity to Probability in Evidence-Based Communication of Relative Risks: The Role of Affect and Communication Format" by Claire Heard & Tim Rakow
3. "Collision Risk Modeling and Analysis for Lateral Separation to Support Unmanned Traffic Management" by Valtteri Kallinen & Aaron McFadyen
4. "Managing Physical and Economic Risk for Systems with Multidirectional Network Interdependencies" by Unal Tatar, Joost Santos, & Shital Thekdi

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