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Related Concept Videos

Decision Making01:20

Decision Making

286
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
286
Reason and Intuition01:37

Reason and Intuition

7.0K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.0K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.3K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

245
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
245
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

190
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,...
190

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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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Decision-first modeling should guide decision making for emerging risks.

Kara Morgan1, Zachary A Collier2, Elisabeth Gilmore3

  • 1Center for Foodborne Illness Research and Prevention, Department of Food Science and Technology, Ohio State University, Columbus, Ohio, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|February 1, 2022
PubMed
Summary
This summary is machine-generated.

Decision-making for emerging risks requires a "decision-first" approach due to limited data and evolving information. Best practices emphasize clear decision context and shared analyst-decision-maker responsibility for adaptable analysis.

Keywords:
decision analysisdecision makingemerging risksrisk analysisuncertainty

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Area of Science:

  • Decision Analysis
  • Risk Management
  • Operations Research

Background:

  • Emerging risks present challenges due to scarce data, rapid information changes, and lack of predictive models.
  • Evolving decision-maker priorities and the need for swift decisions complicate risk analysis.
  • A virtual conference convened experts to discuss decision-making strategies for emerging risks.

Purpose of the Study:

  • To distill key findings from a conference on emerging risks.
  • To propose best practice principles for a "decision-first" approach to emerging risks.
  • To foster continued dialogue between decision and risk analysis communities.

Main Methods:

  • Virtual conference "Decision Making for Emerging Risks" held June 22-23, 2021.
  • Discussions synthesized experiences from COVID-19 pandemic and various domains (cybersecurity, climate change, etc.).
  • Distillation of key findings to propose best practice principles.

Main Results:

  • Proposed a set of best practice principles for a "decision-first" approach.
  • Highlighted the importance of scoping the decision context.
  • Emphasized shared responsibility between analyst and decision-maker for analysis development and implementation.
  • Advocated for simpler analytical approaches to enhance transparency and speed.

Conclusions:

  • A "decision-first" approach is crucial for effectively managing emerging risks.
  • Scoping the decision context and shared responsibility are vital for dynamic risk environments.
  • Simpler, transparent analytical methods facilitate quicker responses to emerging risks.
  • Ongoing dialogue is essential for improving models and approaches for emerging risks.