PhilSci Archive

Why adoption of causal modeling methods requires some metaphysics

Andersen, Holly (2023) Why adoption of causal modeling methods requires some metaphysics. [Preprint]

[img]
Preview
Text
Andersen preprint routledge chapter causal metaphysics for modelling FINAL.pdf

Download (187kB) | Preview

Abstract

I highlight a metaphysical concern that stands in the way of more widespread adoption of causal modeling techniques such as causal Bayes nets. Researchers in some fields may resist adoption due to concerns that they don't 'really' understand what they are saying about a system when they apply such techniques. Students in these fields are repeated exhorted to be cautious about application of statistical techniques to their data without a clear understanding of the conditions required for those techniques to yield genuine insight into the data. They are acutely aware that anyone can chuck some data into a software package and get what looks like an answer, even though these tests may not be well-defined for the data on which they can apparently be run. This is thus a healthy skepticism for uptake of causal modeling methods, which points directly to the need for a metaphysical understanding of causation in order to successfully use the modeling methods. Without a clear understanding of what the methods are committing to, including what it means to say that there exists a causal relationship, researchers have limited ability to identify potentially bad output, or to independently verify results.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Andersen, Hollyholly_andersen@sfu.ca0000-0002-7950-8186
Additional Information: forthcoming in Federica Russo and Phyllis Ilari, (eds.), Routledge Handbook of Causality and Causal Methods,. Routledge
Keywords: Causal Markov, Causal Faithfulness, causal Bayes nets, modelling, metaphysics
Subjects: General Issues > Scientific Metaphysics
General Issues > Causation
General Issues > Explanation
Specific Sciences > Medicine > Health and Disease
Depositing User: Dr. Holly Andersen
Date Deposited: 20 Sep 2023 11:28
Last Modified: 20 Sep 2023 11:28
Item ID: 22562
Subjects: General Issues > Scientific Metaphysics
General Issues > Causation
General Issues > Explanation
Specific Sciences > Medicine > Health and Disease
Date: 2023
URI: https://philsci-archive.pitt.edu/id/eprint/22562

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item