1. bookVolume 9 (2017): Issue 47 (December 2017)
Journal Details
License
Format
Journal
eISSN
2182-2875
First Published
16 Apr 2017
Publication timeframe
4 times per year
Languages
English
access type Open Access

Causality and Modelling in the Sciences: Introduction

Published Online: 16 Oct 2018
Volume & Issue: Volume 9 (2017) - Issue 47 (December 2017)
Page range: 423 - 427
Received: 05 Sep 2017
Accepted: 02 Nov 2017
Journal Details
License
Format
Journal
eISSN
2182-2875
First Published
16 Apr 2017
Publication timeframe
4 times per year
Languages
English
Abstract

The advantage of examining causality from the perspective of modelling is thus that it puts us naturally closer to the practice of the sciences. This means being able to set up an interdisciplinary dialogue that contrasts and compares modelling practices in different fields, say economics and biology, medicine and statistics, climate change and physics. It also means that it helps philosophers looking for questions that go beyond the narrow ‘what-is-causality’ or ‘what-are-relata’ and thus puts causality right at the centre of a complex crossroad: epistemology/methodology, metaphysics, politics/ethics. This special issue collects nine papers that touch upon various scientific fields, from system biology to medicine to quantum mechanics to economics, and different questions, from explanation and prediction to the role of both true and false assumptions in modelling.

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