Diversity Reading List

Abstract: There is a growing recognition that fictions have a number of legitimate functions in science, even when it comes to scientific explanation. However, the question then arises, what distinguishes an explanatory fiction from a nonexplanatory one? Here I examine two cases - one in which there is a consensus in the scientific community that the fiction is explanatory and another in which the fiction is not explanatory. I shall show how my account of "model explanations" is able to explain this asymmetry, and argue that realism - of a more subtle form - does have a role in distinguishing explanatory from nonexplanatory fictions.

Publisher’s Note: In the modern West, we take for granted that what we call the “natural world” confronts us all and always has—but Before Nature explores that almost unimaginable time when there was no such conception of “nature”—no word, reference, or sense for it. Before the concept of nature formed over the long history of European philosophy and science, our ancestors in ancient Assyria and Babylonia developed an inquiry into the world in a way that is kindred to our modern science. With Before Nature, Francesca Rochberg explores that Assyro-Babylonian knowledge tradition and shows how it relates to the entire history of science. From a modern, Western perspective, a world not conceived somehow within the framework of physical nature is difficult—if not impossible—to imagine. Yet, as Rochberg lays out, ancient investigations of regularity and irregularity, norms and anomalies clearly established an axis of knowledge between the knower and an intelligible, ordered world. Rochberg is the first scholar to make a case for how exactly we can understand cuneiform knowledge, observation, prediction, and explanation in relation to science—without recourse to later ideas of nature. Systematically examining the whole of Mesopotamian science with a distinctive historical and methodological approach, Before Nature will open up surprising new pathways for studying the history of science.

Abstract: Revealed preference approaches to modelling agents’ choices face two seemingly devastating explanatory objections. The no self-explanation objection imputes a problematic explanatory circularity to revealed preference approaches, while the causal explanation objection argues that, all things equal, a scientific theory should provide causal explanations, but revealed preference approaches decidedly do not. Both objections assume a view of explanation, the constraint-based view, that the revealed preference theorist ought to reject. Instead, the revealed preference theorist should adopt a unificationist account of explanation, allowing her to escape the two explanatory problems discussed in this paper.