Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

Relative Risk

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

Hazard Rate

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...

Uncertainty: Overview

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Risk Modeling of Interdependent Complex Systems of Systems: Theory and Practice.

Risk analysis : an official publication of the Society for Risk Analysis·2017

Same author

Risk Assessment of Infrastructure System of Systems with Precursor Analysis.

Risk analysis : an official publication of the Society for Risk Analysis·2016

Same author

Response.

Risk analysis : an official publication of the Society for Risk Analysis·2013

Same author

Introduction to the special issue on the risk of extreme and catastrophic events.

Risk analysis : an official publication of the Society for Risk Analysis·2012

Same author

Strategic preparedness for recovery from catastrophic risks to communities and infrastructure systems of systems.

Risk analysis : an official publication of the Society for Risk Analysis·2012

Same author

Systems-based guiding principles for risk modeling, planning, assessment, management, and communication.

Risk analysis : an official publication of the Society for Risk Analysis·2012

Search research articles

Related Experiment Video

Updated: Jun 3, 2026

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

On the complex quantification of risk: systems-based perspective on terrorism.

Yacov Y Haimes¹

¹University of Virginia,Center for Risk Management of Engineering Systems, PO Box 400736, Charlottesville, VA 22904, USA. haimes@virginia.edu

Risk Analysis : an Official Publication of the Society for Risk Analysis

|April 2, 2011

Summary

This summary is machine-generated.

Quantifying terrorism risk requires understanding system states, including vulnerability and resilience. This approach models risk as a multidimensional function of threats, system conditions, and consequences over time.

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Related Experiment Videos

Last Updated: Jun 3, 2026

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Area of Science:

Systems theory
Risk analysis
Terrorism studies

Background:

Quantifying multidimensional risk functions is complex.
Existing models may not fully capture the dynamics of terrorism risk.

Purpose of the Study:

Develop five systems-based premises for quantifying terrorism risk.
Advocate for quantifying vulnerability and resilience through system states.

Main Methods:

Systemic and repeatable modeling process.
Utilizing intelligence gathering and expert evidence.
Recognizing the time-dependent nature of system states.

Main Results:

Established interdependence between threats, system states (vulnerability, resilience, criticality-impact), and consequences.
Demonstrated that risk management policies can alter system states to reduce likelihood and consequences.
Highlighted the pivotal role of the time frame in risk assessment and management.

Conclusions:

Risk is a multidimensional function of threat, system states, and probabilistic consequences.
Quantifying vulnerability and resilience is crucial for accurate terrorism risk assessment.
A systemic, time-aware modeling approach is essential for repeatable risk quantification.