Martin Zach
Biographic Data
| ID | 4638886 |
|---|---|
| NAME | Martin Zach |
| GIVEN NAMES | Martin |
| FAMILY NAME | Zach |
| SIGNATURE | ZACH M |
| AFFILIATIONS | Institute of Philosophy of the Slovak Academy of Sciences |
| ORCID | 0000-0001-7181-0391 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
A systems thinking approach to inclusive governance
This article explores the correlation between participatory urban development, multi-scale policymaking, and the integration of citizen participation data throughout the policy cycle by proposing a systems approach. These aspects are rarely covered in academic literature. Through a review of peer-reviewed and other reputable literature, it seeks to define inclusive participation and examine mechanisms of participation in current urban governance …
A Complementary Account of Scientific Modelling
According to a widely held view, scientific modelling consists in entertaining a set of model descriptions that specify a model. Rather than studying the phenomenon of interest directly, scientists investigate the phenomenon indirectly via a model in the hope of learning about some of the phenomenon’s features. I call this view the description-driven modelling (DDM) account. I argue that although an accurate description of much of scientific rese…
On representation and similarity
Zjednodušující předpoklady v nekauzálních vysvětleních
Scientific knowledge relies heavily on models, shaped by simplifying assumptions, with common categories being abstraction and idealization. This article aims to expose conceptual challenges inherent in conventional interpretations of these concepts, particularly in their practical application to scientific modeling. The primary hurdle emerges in applying these categories to realworld instances of scientific modeling, which we illustrate with ex…
Idealization, representation, and explanation in the sciences
Assessing the quality of evidence from epidemiological agent-based models for the Covid-19 pandemic
Assessing the quality of evidence from epidemiological agent-based models for the Covid-19 pandemic
Idealization, representation, and explanation in the sciences
Zjednodušující předpoklady v nekauzálních vysvětleních
Scientific knowledge relies heavily on models, shaped by simplifying assumptions, with common categories being abstraction and idealization. This article aims to expose conceptual challenges inherent in conventional interpretations of these concepts, particularly in their practical application to scientific modeling. The primary hurdle emerges in applying these categories to realworld instances of scientific modeling, which we illustrate with ex…
A systems thinking approach to inclusive governance
This article explores the correlation between participatory urban development, multi-scale policymaking, and the integration of citizen participation data throughout the policy cycle by proposing a systems approach. These aspects are rarely covered in academic literature. Through a review of peer-reviewed and other reputable literature, it seeks to define inclusive participation and examine mechanisms of participation in current urban governance …
A Complementary Account of Scientific Modelling
According to a widely held view, scientific modelling consists in entertaining a set of model descriptions that specify a model. Rather than studying the phenomenon of interest directly, scientists investigate the phenomenon indirectly via a model in the hope of learning about some of the phenomenon’s features. I call this view the description-driven modelling (DDM) account. I argue that although an accurate description of much of scientific rese…
On representation and similarity
Computer Science (3 works) · Epistemology (3 works) · Philosophy (3 works) · Cell Image Analysis Techniques (2 works) · Gene Regulatory Network Analysis (2 works) · Idealization (2 works) · Philosophy and History of Science (2 works) · Physics (2 works) · Political science (2 works) · Representation (politics) (2 works)