Related Experiment Video
Updated: Oct 6, 2025

09:17
3D Printing of Biomolecular Models for Research and Pedagogy
Published on: March 13, 2017
24.3K
Purposes and duties in scientific modelling.
Eric Winsberg1, Stephanie Harvard2
1Department of Philosophy, University of South Florida, Tampa, Florida, USA winsberg@usf.edu.
Journal of Epidemiology and Community Health
|January 14, 2022
Summary
Clarifying the purpose of epidemiological models is a moral-epistemic duty. Understanding their value-laden nature and potential impact on policy decisions is crucial for ethical public health guidance.
Area of Science:
- Philosophy of Science
- Epidemiology
- Public Health Ethics
Background:
- Growing public and academic interest in the philosophical underpinnings of epidemiological models.
- Concerns regarding the influence of social, ethical values, and the adequacy of models for policy decisions.
- Debates on the fundamental nature and intended purposes of epidemiological models, such as prediction versus projection.
Purpose of the Study:
- To explore the philosophical questions surrounding epidemiological models, particularly their intended purposes.
- To argue for the moral-epistemic duties associated with clarifying model objectives and assessing their adequacy.
- To contextualize these arguments within broader philosophical discussions on modeling.
Main Methods:
- Philosophical analysis and argumentation.
- Review of recent philosophical literature on epidemiological models.
- Ethical and epistemic evaluation of model purposes and applications.
Main Results:
- Clarifying the intended purpose of an epidemiological model is identified as a moral-epistemic duty.
- Models possess inherent value-laden characteristics with potential for downstream harms.
- The use of models in political decision-making can conflict with liberal values.
Conclusions:
- Assessing model adequacy for its stated purpose is a moral-epistemic responsibility.
- The inherent value-ladenness of models necessitates careful consideration of their ethical implications.
- Increased dialogue on the moral significance of modeling is vital for maintaining democratic scrutiny in public health.
More Related Videos
Related Concept Videos
Modeling and Similitude
367
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
367
Models, Theories, and Laws
7.5K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
7.5K
Molecular Models
41.4K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
41.4K
Mechanistic Models: Compartment Models in Individual and Population Analysis
100
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
100
Typical Model Studies
464
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
464
Mechanistic Models: Overview of Compartment Models
191
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
191

