Uljana Feest

This paper revisits the debate between Harry Collins and Allan Franklin, concerning the experimenters’ regress. Focusing my attention on a case study from recent psychology (regarding experimental evidence for the existence of a Mozart Effect), I argue that Franklin is right to highlight the role of epistemological strategies in scientific practice, but that his account does not sufficiently appreciate Collins’s point about the importance of tacit knowledge in experimental practice. In turn, Collins rightly highlights the epistemic uncertainty (and skepticism) surrounding much experimental research. However, I will argue that his analysis of tacit knowledge fails to elucidate the reasons why scientists often are (and should be) skeptical of other researchers’ experimental results. I will present an analysis of tacit knowledge in experimental research that not only answers to this desideratum, but also shows how such skepticism can in fact be a vital enabling factor for the dynamic processes of experimental knowledge generation.

This paper places Husserl’s mature work, The Crisis of the European Sciences, in the context of his engagement with – and critique of – experimental psychology at the time. I begin by showing (a) that Husserl accorded psychology a crucial role in his philosophy, i.e., that of providing a scientific analysis of subjectivity, and (b) that he viewed contemporary psychology – due to its naturalism – as having failed to pursue this goal in the appropriate manner. I then provide an analysis of Husserl’s views about naturalism and scientific philosophy. Some central themes of the Crisis are traced back to Husserl’s earlier work and to his relationship with his teacher, Franz Brentano, with whom he disagreed about the status of “inner perception” as the proper scientific method for a phenomenological analysis. The paper then shows that Husserl was well aware of at least one publication about the crisis of psychology (Bühler’s 1927 book), and it teases out some aspects of the complicated relationship between Husserl and members of the Würzburg School of thought psychology: The latter had drawn on Husserl’s writings, but Husserl felt that they had misunderstood his central thesis. I conclude by placing Husserl’s work in the wider context of scientific, cultural, and political crisis-discourses at the time.

In 1932, Rudolf Carnap published his article “Psychology in a Physical Language.” The article prompted a critical response by the Gestalt psychologist Karl Duncker. The exchange is marked by mutual lack of comprehension. In this paper I will provide a contextualized explication of the exchange. I will show that Carnap’s physicalism was deeply rooted in the psychophysical tradition that also informed Gestalt psychological research. By failing to acknowledge this, Carnap missed out on the possibility to enter into a serious debate and to forge an alliance with a like-minded psychologist at the time. I conclude by suggesting that the kind of physicalism practiced by Gestalt psychologists deserves to be taken seriously by current philosophy of psychology.

This paper asks (a) how new scientific objects of research are onceptualized at a point in time when little is known about them, and (b) how those conceptualizations, in turn, figure in the process of investigating the phenomena in question. Contrasting my approach with existing notions of concepts and situating it in relation to existing discussions about the epistemology of experimentation, I propose to think of concepts as research tools. I elaborate on the conception of a tool that informs my account. Narrowing my focus to phenomena in cognitive neuropsychology, I then illustrate my thesis with the example of the concept of implicit memory. This account is based on an original reconstruction of the nature and function of operationism in psychology.

The last two decades have seen a rising interest in (a) the notion of a scientific phenomenon as distinct from theories and data, and (b) the intricacies of experimentally producing and stabilizing phenomena. This paper develops an analysis of the stabilization of phenomena that integrates two aspects that have largely been treated separately in the literature: one concerns the skills required for empirical work; the other concerns the strategies by which claims about phenomena are validated. I argue that in order to make sense of the process of stabilization, we need to distinguish between two types of phenomena: phenomena as patterns in the data ( surface regularities ) and phenomena as underlying (or hidden ) regularities. I show that the epistemic relationships that data bear to each of these types of phenomena are different: Data patterns are instantiated by individual data, whereas underlying regularities are indicated by individual data, insofar as they instantiate a data pattern. Drawing on an example from memory research, I argue that neither of these two kinds of phenomenon can be stabilized in isolation. I conclude that what is stabilized when phenomena are stabilized is the fit between surface regularities and hidden regularities