This essay offers some reflections on the recent history of the disputes about the relation between history and philosophy of science (HPS) and the merits and prospects of HPS as an intellectual endeavor. As everyone knows, the issue was hotly debated in the 1960s and 1970s. That was the hey-day of the slogan "history without philosophy of science is blind, philosophy without history of science is empty" as well as of the many variations on the theme of HPS as a (...) "marriage of convenience," "intimate relation," or "marriage for the sake of reason." There was a flurry of interest in the early 1990s, as evidenced by sections in the 1992 and 1994 issues of PSA, entitled: "Do the History of Science and the Philosophy of .. (shrink)

A methodological imperative, reproducibility, is proposed for experimental research. This is motivated by recent discussions of normative naturalism as well as the recent interest in the philosophical implications of experimental research. The role of this norm is examined in the context of the routine research procedures in a high-energy scattering experiment. The specific details of the experimental analysis of resonance production in the interaction π +P→ Pπ + π + π - π 0 at 18.5 Ge V/c are discussed in (...) light of the importance of reproducing experimental results. In this context, a more complex meaning of this norm emerges. It is suggested that this type of empirical evaluation of hypothetical imperatives should be at the core of the normative naturalist's program. (shrink)

I respond to H. M. Collins's claim (1985, 1990, 1993) that experimental inquiry cannot be objective because the only criterium experimentalists have for determining whether a technique is "working" is the production of "correct" (i.e., the expected) data. Collins claims that the "experimenters' regress," the name he gives to this data-technique circle, cannot be broken using the resources of experiment alone. I argue that the data-technique circle, can be broken even though any interpretation of the raw data produced by techniques (...) is theory-dependent. However, it is possible to break this circle by eliminating dependence on even those theoretical presuppositions that are shared by an entire scientific community through the use of multiple independently theory-dependent techniques to produce robust bodies of data. Moreover, I argue, that it is the production of robust bodies of data that convinces experimentalists of the objectivity of their data interpretations. (shrink)

The question whether research techniques are producing artifacts or data is often a crucial one for scientists. The potential for artifacts results from the fact that generating data often requires numerous procedures that are often brutal, poorly understood, and very sensitive to details of the procedure. Through a case-study of the introduction of electron microscopy as a tool for studying cells, I examine how scientists judge whether new techniques are introducing artifacts. Three factors seem to be most salient in their (...) judgments: determinateness of the results, consilience of different procedures, and ability of the results to fit into emerging theories. (shrink)

The use of multiple means of determination to “triangulate” on the existence and character of a common phenomenon, object, or result has had a long tradition in science but has seldom been a matter of primary focus. As with many traditions, it is traceable to Aristotle, who valued having multiple explanations of a phenomenon, and it may also be involved in his distinction between special objects of sense and common sensibles. It is implicit though not emphasized in the distinction between (...) primary and secondary qualities from Galileo onward. It is arguably one of several conceptions involved in Whewell’s method of the “consilience of inductions” (Laudan 1971) and is to be found in several places in Peirce. (From M. Brewer and B. Collins, eds., (1981); Scientific Inquiry in the Social Sciences (a festschrift for Donald T. Campbell), San Francisco: Jossey-Bass, pp. 123–162.). (shrink)

Starting with some illustrative examples, I develop a systematic account of a specific type of experimentation--an experimentation which is not, as in the "standard view", driven by specific theories. It is typically practiced in periods in which no theory or--even more fundamentally--no conceptual framework is readily available. I call it exploratory experimentation and I explicate its systematic guidelines. From the historical examples I argue furthermore that exploratory experimentation may have an immense, but hitherto widely neglected, epistemic significance.

Based on the historical case of galvanic experimentation in Germany, I identify five types of experimentation which explored and shaped the new phenomenon rather than tested theoretical predictions. Verification evaluated initial reports of Galvani's phenomenon. Simplification reduced the experimental protocol to the fewest and most basic steps. Optimization found experimental conditions that magnified the observed effect. Exploration tested a wide variety of metals, animals or configurations. Application modified the experiment to address unresolved related problems. Attempts to derive laws of the (...) phenomenon or establish its underlying causes were unsuccessful primarily due to the great variability of the experimental results. (shrink)