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Causality and Modelling in the Sciences: Introduction
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| Zeitschriftentitel: | Disputatio |
|---|---|
| Personen und Körperschaften: | , |
| In: | Disputatio, 9, 2017, 47, S. 423-427 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Walter de Gruyter GmbH
|
| Schlagwörter: |
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Jiménez-Buedo, María Russo, Federica Jiménez-Buedo, María Russo, Federica |
|---|---|
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Jiménez-Buedo, María Russo, Federica |
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Jiménez-Buedo, María Russo, Federica Disputatio Causality and Modelling in the Sciences: Introduction Philosophy |
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jiménez-buedo, maría |
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Jiménez-Buedo, María Russo, Federica 0873-626X Walter de Gruyter GmbH Philosophy http://dx.doi.org/10.1515/disp-2017-0013 <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> Causality and Modelling in the Sciences: Introduction Disputatio |
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Causality and Modelling in the Sciences: Introduction |
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Causality and Modelling in the Sciences: Introduction |
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Causality and Modelling in the Sciences: Introduction |
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Causality and Modelling in the Sciences: Introduction |
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Causality and Modelling in the Sciences: Introduction |
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Causality and Modelling in the Sciences: Introduction |
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causality and modelling in the sciences: introduction |
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Philosophy |
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2017 |
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423-427 |
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<jats:title>Abstract</jats:title>
<jats:p>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.</jats:p> |
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| description | <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> |
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| spelling | Jiménez-Buedo, María Russo, Federica 0873-626X Walter de Gruyter GmbH Philosophy http://dx.doi.org/10.1515/disp-2017-0013 <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> Causality and Modelling in the Sciences: Introduction Disputatio |
| spellingShingle | Jiménez-Buedo, María, Russo, Federica, Disputatio, Causality and Modelling in the Sciences: Introduction, Philosophy |
| title | Causality and Modelling in the Sciences: Introduction |
| title_full | Causality and Modelling in the Sciences: Introduction |
| title_fullStr | Causality and Modelling in the Sciences: Introduction |
| title_full_unstemmed | Causality and Modelling in the Sciences: Introduction |
| title_short | Causality and Modelling in the Sciences: Introduction |
| title_sort | causality and modelling in the sciences: introduction |
| title_unstemmed | Causality and Modelling in the Sciences: Introduction |
| topic | Philosophy |
| url | http://dx.doi.org/10.1515/disp-2017-0013 |