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...

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...

Mathematical Modeling: Problem Solving

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...

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...

Actuarial Approach

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...

Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...

You might also read

Related Articles

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

Sort by

Same author

Correction to: Reducing Domestic Wood Burning through Voluntary Air Quality Alerts: An IBM-WASH Evaluation of a Pilot Intervention in Wales.

Environmental management·2026

Same author

Dry needling directly into trigger points is associated with improved gait parameters: a randomized controlled trial.

The Journal of manual & manipulative therapy·2026

Same author

Reducing Domestic Wood Burning through Voluntary Air Quality Alerts: An IBM-WASH Evaluation of a Pilot Intervention in Wales.

Environmental management·2026

Same author

Case of Atypical Dandy-Walker Variant in Adult with Refractory Headaches.

Neurology India·2025

Same author

Safeguarding children on Welsh roads: the 20 mph policy and the road ahead.

BMJ paediatrics open·2025

Same author

The UK consensus supporting effective introduction of novel treatments for multiple myeloma in the National Health Service.

EJHaem·2024

Search research articles

Related Experiment Video

Updated: May 30, 2026

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

Risk management in a university environment.

Ann Brewer¹, Ian Walker

¹University of Sydney, NSW 2006, Australia. ann.brewer@sydney.edu.au

Journal of Business Continuity & Emergency Planning

|August 13, 2011

Summary

This study presents a new methodology for risk management in Australian higher education, integrating it into quality assurance and strategic planning. This approach ensures risk management is central to university governance and performance.

Area of Science:

Higher Education Administration
Risk Management in Universities
Quality Assurance Frameworks

Background:

Risk management is crucial for quality assurance in Australian higher education.
Current practices often isolate risk management from strategic university operations.

Purpose of the Study:

To describe a generic methodology for risk identification and management in tertiary education.
To outline a framework for integrating risk management into the institutional governance cycle.

Main Methods:

Development of a comprehensive risk management system for a major Australian university (March 2008 - April 2009).
Embedding risk management within quality assurance, strategic planning, and budgeting processes.

Main Results:

Related Experiment Videos

Last Updated: May 30, 2026

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

A novel approach where risk management is integral to the quality assurance framework.
Demonstrated integration of risk management into strategic direction and university performance.

Conclusions:

The proposed framework enhances university governance by embedding risk management.
This integrated approach adds value to the overall strategic direction and performance of higher education institutions.