Related Experiment Video
Updated: Jul 31, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
Published on: April 20, 2016
Epistemic and Non-epistemic Values in Earthquake Engineering
Luca Zanetti1, Daniele Chiffi2, Lorenza Petrini3
1Linguistics & Philosophy Center - L&PIC, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100, Pavia, Italy.
This study examines epistemic and non-epistemic values in earthquake engineering seismic hazard models. It finds epistemic values guide model selection, while non-epistemic values drive model aggregation, impacting practical choices.
Area of Science:
- Philosophy of Science
- Earthquake Engineering
- Risk Assessment
Background:
- Epistemic values are crucial in science, but non-epistemic values' role, especially in applied sciences, is debated.
- Earthquake engineering, a field rarely explored in philosophical literature, presents a unique case for examining value influences.
Purpose of the Study:
- To analyze the interplay of epistemic and non-epistemic values in seismic hazard model assessment.
- To investigate how these values influence the selection, evaluation, and aggregation of earthquake hazard models.
Main Methods:
- Case study analysis of earthquake engineering practices.
- Philosophical examination of value judgments in scientific modeling.
- Distinguishing the roles of epistemic and non-epistemic values in model selection and aggregation.
Main Results:
- Seismic hazard model selection and evaluation are primarily justified by epistemic values, though contingently influenced by non-epistemic values.
- Aggregation of diverse seismic hazard models into ensembles is justified by non-epistemic values, with epistemic values playing an instrumental role.
- Both value types are critical when selecting among alternative models under scientific uncertainty.
Conclusions:
- A nuanced understanding of epistemic and non-epistemic values is essential for informed decision-making in earthquake hazard modeling.
- Recognizing these value influences enhances the practical application of scientific models in engineering.
- This study highlights the importance of considering diverse values in applied scientific fields facing uncertainty.
More Related Videos
04:51Author Spotlight: Characterizing Environmental Biofilm Mechanics Using Optical Coherence Elastography and its Applications in Wastewater Treatment
Published on: March 1, 2024
07:32Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
Published on: February 10, 2016
Related Concept Videos
Professional Values
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
Design Consideration
The factor of safety is another key...
Constraints and Statical Determinacy
Potential-Energy Criterion for Equilibrium
Elasticity in Concrete
Accuracy, limits, and approximation
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...