Scientific Progress

Rowbottom, Darrell P.

doi:10.1017/9781108625753

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2024

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Cited by 12 publications

References 94 publications

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Functioning but aimless science

Rowbottom

2024

Metascience

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Functioning but aimless science

Rowbottom

2024

Metascience

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Gradual de-idealisation and progress in political science: a case study

Wajzer

2024

Synthese

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This article contributes to the discussion regarding the relationship between idealisation, de-idealisation and cognitive scientific progress. In this, I raise the question of the significance of the gradual de-idealisation procedure for constructing political science theories. I show that conceptions that assume the reversibility of the idealisation process can be an extremely useful theoretical perspective in reconstructions of political science modelling and analyses of scientific progress in political science. I base my position on the results of the methodological reconstruction of Richard Jankowski’s theory of voting. My reconstruction and results of empirical studies show that by gradually removing simplifying assumptions, models can emerge that more accurately identify the determinants of the voting decision and the corresponding relationships. In the case I analysed, the transition from coarse-grained to fine-grained models likely demarcates the line of scientific progress.

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Scientific Models and Decision Making

Winsberg,

Harvard

2024

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This Element introduces the philosophical literature on models, with an emphasis on normative considerations relevant to models for decision-making. Chapter 1 gives an overview of core questions in the philosophy of modeling. Chapter 2 examines the concept of model adequacy for purpose, using three examples of models from the atmospheric sciences to describe how this sort of adequacy is determined in practice. Chapter 3 explores the significance of using models that are not adequate for purpose, including the purpose of informing public decisions. Chapter 4 provides a basic framework for values in modelling, using a case study to highlight the ethical challenges in building models for decision making. It concludes by establishing the need for strategies to manage value judgments in modelling, including the potential for public participation in the process.

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Scientific Progress

Cited by 12 publications

References 94 publications

Functioning but aimless science

Functioning but aimless science

Gradual de-idealisation and progress in political science: a case study

Scientific Models and Decision Making

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