Kareem Khalifa

Mauricio Suárez develops a conception of representation that delivers a compelling account of modeling practice. He begins by discussing the history and methodology of model building, helpfully charting the emergence of what he calls the modeling attitude, a nineteenth century and fin de siècle development. Throughout the book, prominent cases of models, both historical and contemporary, are used as benchmarks for the accounts of representation considered throughout the book. After arguing against reductive naturalist theories of scientific representation, Suárez sets out his own account: a case for pluralism regarding the means of representation and minimalism regarding its constituents. He shows that scientists employ a plurality of different modeling relations in their representational practice - which also help them to assess the accuracy of their representations - while demonstrating that there is nothing metaphysically deep about the constituent relation that encompasses all these diverse means. The book also probes the broad implications of Suárez's inferential conception outside scientific modeling itself, covering analogies with debates about artistic representation over the past several decades, as well as the consequences for epistemology of adopting an inferential conception of representation. His inferential conception is neutral between realism and instrumentalism, and he illustrates this by looking at, and briefly taking issue with, the epistemology of some of the most widely discussed philosophers in the literature.

Model transfer is the scientific practice of taking a model which was initially applied in one particular kind of target system in some particular scientific domain and applying it to represent a novel target system in a novel scientific domain. This paper motivates a realist interpretation of empirically successful model transfers and the implications of such an interpretation for the metaphysics of science. The paper uses two examples of empirically successful model transfer, the first of which is a strikingly successful recent application of the Ising model to neurobiology, the second of which is Maxwell’s “method of physical analogy”. The paper first defends the need for a realist picture regarding the transfer of model templates and the apparent discovery of physical analogies. Then, it examines further the implications of such a picture, finding it to be quite revisionary in its conception of the nature of causal processes.

This paper explores the socio-epistemic practice of shopping for experts. I argue that expert shopping is particularly likely to occur on what Thi Nguyen calls cognitive islands. To support my argument, I focus on macroeconomics. First, I make a prima-facie case for thinking that macroeconomics is a cognitive island. Then, I argue that ordinary people are particularly likely to engage in expert shopping when it comes to macroeconomic matters. In particular, I distinguish between two kinds of expert shopping, which I call cynical and wishful, and introduce the notion of assisted expert shopping, which occurs when people or organizations shop for experts on behalf of other people. I argue that assisted expert shopping can sometime result in what I call a propagandistic use of expertise. Finally, I critically examine some possible reasons for optimism and find them wanting. I conclude by suggesting that that much of what I said about shopping for macroeconomic experts might also apply mutatis mutandis to other policy-relevant domains of expertise.

Accounts of scientific explanation disagree about what’s required for a cause, law, or other fact to be a reason why an event occurs. In short, they disagree about the conditions for explanatory relevance. Nonetheless, most accounts presuppose that claims about explanatory relevance play a descriptive role in tracking reality. By rejecting the need for this descriptivist assumption, I develop an expressivist account of explanatory relevance and explanation: to judge that an answer is explanatory is to express an attitude of _being for being satisfied by that answer_. I show how expressivism vindicates ordinary scientific discourse about explanation, including claims about the objectivity and mind-independence of explanations. By avoiding commitment to ontic relevance relations, I rehabilitate an irrealist conception of explanation.

Our concern in this paper lies with a common argument from racial discrimination to realism about races: some people are discriminated against for being members of a particular race (i.e., racial discrimination exists), so some people must be members of that race (i.e., races exist). Error theorists have long responded that we can explain racial discrimination in terms of racial attitudes alone, so we need not explain it in terms of race itself. But to date there has been little detailed discussion of whether it is better to explain racial discrimination in terms of race or in terms of racial attitudes alone. Our goal is to offer a novel and detailed argument in defense of explaining racial discrimination in terms of racial attitudes alone, by attending to the neglected phenomenon of misperception discrimination, which involves differential treatment due to misperceived race. We argue that the discriminatory action in misperception cases must be explained in the same way as cases where (according to the realist) the victim’s race is accurately perceived. Thus, the victim’s actual race cannot provide the best explanation. The main upshot of our argument is that explanatory arguments from racial discrimination to realism about race fail.