This paper uses several case studies to suggest that (1) two prominent definitions of data do not on their own capture how scientists use data and (2) a novel perspectival account of data is needed. It then outlines some key features of what this account could look like. Those prominent views, the relational and representational, do not fully capture what data are and how they function in science. The representational view is insensitive to the scientific context in which data are (...) used. The relational account does not fully account for the empirical nature of data and how it is possible for data to be evidentially useful. The perspectival account surmounts these problems by accommodating a representational element to data. At the same time, data depend upon the epistemic context because they are the product of situated and informed judgements. (shrink)

Epistemic standards purport to tell us under what conditions we should adopt specific beliefs. In the scientific case, we might understand an epistemic standard as telling us what beliefs we should or even must adopt when faced with such-and-such evidence. It is an open question whether and to what extent science, or scientists, form beliefs based upon standards so construed. Epistemic relativism gives two strong arguments against a robust role for epistemic standards in science. This paper assesses these arguments and (...) argues that even if we accept them, epistemic standards play a strong, normative role and that failure to adhere to epistemic standards, in a sense to be clarified, risks irrationality. To make this argument, we must abandon the idea that standards determine in a strong sense what beliefs scientists must adopt and instead think of them as a guide for choosing between beliefs. If we think of standards in this way, then they can play a role in rational scientific discourse. This conception of standards is inspired by Kuhnian values and helps arbitrate between relativism and more rational conceptions of evidence and justification. The Chemical Revolution provides illustration of this view. (shrink)

Perspectivism in Science Perspectivism, or perspectival realism, has been discussed in philosophy for many centuries, but as a view about science, it is a twenty-first-century topic. Although it has taken many forms and even though there is no agreed definition, perspectivism at its heart uses a visual metaphor to help us understand the scope and … Continue reading Perspectivism in Science →.

This paper uses scientific perspectivism as a lens for understanding acid experiments from the Chemical Revolution. I argue that this account has several advantages over several recent interpretations of this period, interpretations that do not neatly capture some of the historical experiments on acids. The perspectival view is distinctive in that it avoids discontinuity, allows for the rational resolution of disagreement, and is sensitive to the historical epistemic context.

The aim of this article is to use a model from the origin of life studies to provide some depth and detail to our understanding of exploratory models by suggesting that some of these models should be understood as indeterminate. Models that are indeterminate are a type of exploratory model and therefore have extensive potential and can prompt new lines of research. They are distinctive in that, given the current state of scientific understanding, we cannot specify how and where the (...) model will be useful in understanding the natural world: in this case, the origin of life on Earth. The purpose of introducing indeterminacy is to emphasize the epistemic uncertainty associated with modeling, a feature of this practice that has been under emphasized in the literature in favor of attempts to understand the more specific epistemic successes afforded by models. (shrink)