Radical artifactualism

Oliveira, Guilherme Sanches de

doi:10.1007/s13194-022-00462-0

Cited by 6 publications

(1 citation statement)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some philosophers have recently begun discussing scientific tools as things which encode knowledge in themselves (Baird, 2004) or which assist scientists in reasoning about one system by means of another (Carrillo & Knuuttila, 2021;de Oliveira, 2022;Knuuttila, 2011Knuuttila, , 2021. While it is clear in general that scientists use tools to extend the power of their hands and minds, there are also tools that extend the power of the imagination.…”

Section: Tools Of the Imaginationmentioning

confidence: 99%

The qualitative study of scientific imagination.

Stuart

2024

Qualitative Psychology

View full text Add to dashboard Cite

Section: Tools Of the Imaginationmentioning

confidence: 99%

The qualitative study of scientific imagination.

Stuart

2024

Qualitative Psychology

View full text Add to dashboard Cite

Non-Representational Models and Objectual Understanding

Pincock,

Poznic

2024

Erkenn

View full text Add to dashboard Cite

This paper argues that investigations into how to best make something often provide researchers with an objectual understanding of their target phenomena. This argument starts with an extended investigation into the non-representational uses of models. In particular, we identify a special sort of “design model” whose aim is to guide the production of phenomena. Clarifying how these design models are evaluated shows that they are evaluated in different ways than representational models. Once the character of design models has been fixed, we argue that grasping design models can provide objectual understanding of phenomena. This argument proceeds through a critical engagement with Dellsén’s (2020) position that a grasp of a good representational model of dependencies provides objectual understanding of a phenomenon. We agree with Dellsén that this is one way to achieve understanding, but maintain that grasping a good design model is another way to achieve understanding. The paper concludes by considering some important objections to our proposal and also by noting some of the broader questions about understanding and knowledge in both science and engineering.

show abstract

Technology-driven surrogates and the perils of epistemic misalignment: an analysis in contemporary microbiome science

Suárez

Boem

2022

Synthese

View full text Add to dashboard Cite

A general view in philosophy of science says that the appropriateness of an object to act as a surrogate depends on the user’s decision to utilize it as such. This paper challenges this claim by examining the role of surrogative reasoning in high-throughput sequencing technologies (technology-driven surrogates) as they are used in contemporary microbiome science. Drawing on this, we argue that, in technology-driven surrogates, knowledge about the type of inference practically permitted and epistemically justified by the surrogate constrains their use and thus puts a limit to the user’s intentions to use any object as a surrogate for what they please. Ignoring this leads to a serious epistemic misalignment, which ultimately prevents surrogative reasoning. Thus, we conclude that knowledge about the type of surrogate reasoning that the technologies being used allow is fundamental to avoid misinterpreting the consequences of the data obtained with them, the hypothesis this data supports, and what these technologies are surrogates of.

show abstract

Radical artifactualism

Cited by 6 publications

References 60 publications

The qualitative study of scientific imagination.

The qualitative study of scientific imagination.

Non-Representational Models and Objectual Understanding

Technology-driven surrogates and the perils of epistemic misalignment: an analysis in contemporary microbiome science

Contact Info

Product

Resources

About