Online research in philosophy

In this paper I examine the feminist claim that non-epistemic values ought to play a role in scientific inquiry. I examine four holist arguments that non-epistemic values ought to play a role not only in the external aspects of scientific inquiry such as problem selection and the ethics of experimentation but also in its internal aspects, those that have to do with epistemic justification. In supporting their conclusion, I argue that they establish that the traditional external/internal distinction has served as a marker for more fundamental distinctions between non-epistemic and epistemic values and between the means by which each are pursued. However, I also contend that these arguments do nothing to deny these distinctions between epistemic and non-epistemic values. Maintaining these distinctions, I argue for an epistemic holism suggesting ways in which both substantive claims about non-epistemic values and reliable processes/methods for the legitimization of non-epistemic values may also be truth-conducive, thereby serving the epistemic ends of scientific inquiry.

The project of this volume is to explore how scientific values might have a positive impact on the development of civic virtues within a society. Hence, our first order of business is to get a picture of what might fall under the rubric of scientific values. As is often the case, the word science in this essay sometimes refers to the questions, claims, and arguments that scientists work with and at other times designates the institution dedicated to the production of that intellectual content. We will look at the norms that figure in both contexts.

The many meanings of integrity are distinguished. This paper focuses specifically on how the concept of integrity in the sense of firm adherence to values applies to science qua institution. The most relevant values - the epistemological values of evidence-sharing and respect for evidence - are articulated, and shown to be rooted in the character of the scientific enterprise. This paves the way for an exploration of the circumstances that presently threaten to erode commitment to these core values: an exploration illustrated by the disturbing saga of the arthritis drugs Vioxx and Celebrex. The paper concludes with an articulation of why the erosion of scientific integrity should concern us.

The presented paper substantiates the principle that values are an immanent component of science and any rational cognitive activity. This principle belongs to the European cultural tradition starting from the book of Genesis of the Old Testament, the values of certainty in the antique Greek philosophy and Francis Bacon's coincidence of knowledge and power. Values in science form complicated structures inconnection with different types of knowledge including “the knowledge that”, empirical evidence, various types of generalizations or rules, methods, directions, algorithms, “the knowledge how”, “the knowledge why” or other types of knowledge. Since the assignments of different types of values are the products of a decision-making, it is useful to distinguish many types of decision-making, especially semantic decision-making, information decision-making and decision-making with distinctly pragmatic dimensions. The values assignable to scientific activities and their results also include their social recognition, respect and prestige granted to knowledge and bearers of knowledge by society and social groups or communities. Knowledge generation and the rational and justified application of the achieved and acceptable impacts are also connected with decision-making procedures, values and criteria of social acceptance.

We argue that non-epistemic values, including moral ones, play an important role in the construction and choice of models in science and engineering. Our main claim is that non-epistemic values are not only “secondary values” that become important just in case epistemic values leave some issues open. Our point is, on the contrary, that non-epistemic values are as important as epistemic ones when engineers seek to develop the best model of a process or problem. The upshot is that models are neither value-free, nor depend exclusively on epistemic values or use non-epistemic values as tie-breakers.

Formal representations of values and norms are employed in several academic disciplines and specialties, such as economics, jurisprudence, decision theory, and social choice theory. Sven Ove Hansson closely examines such foundational issues as the values of wholes and the values of their parts, the connections between values and norms, how values can be decision-guiding and the structure of normative codes with formal precision. Models of change in both preferences and norms are offered, as well as a new method to base the logic of norms on that of preferences. Hansson has developed a unified formal representation of values and norms that reflects both their static and their dynamic properties. This formalized treatment, carried out in terms of both informal value theory and precise logical detail, will contribute to the clarification of certain issues in the basic philosophical theory of values and norms.

There are at least two different ways in which values and science can be connected. One is through the evaluation of science, and the other is through the scientific investigation of values. The evaluation of science is a non−scientific, political or ethical investigation of the practices of science. Various proposed and actual scientific practices call out for social and ethical evaluation. A few that have received recent attention are the human genome project, intelligence testing, and encryption algorithms. Such evaluations of science contrasts sharply with what I call "the science of values." This is not one science or even one unified nexus of scientific activities but a loosely defined grab bag containing all scientific investigations of matters involving values.

It is not so long ago that philosophers and scientists thought of science as an objective and value-free enterprise. But since the heyday of positivism, it has become obvious that values, norms, and standards have an indispensable role to play in science. You may even say that these values are the real issues of the philosophy of science. Whatever they are, these values constrain science at an ontological, a cognitive, a methodological, and a semantic level for the purpose of making science a rational pursuit of knowledge. I think, however, that a good place to look for them is in the rise of quantum mechanics and in the debate between Bohr and Einstein on its interpretation, not because similar cognitive values are not shaping scientific rationality elsewhere, but because they surface in the debate whenever a new revolutionary paradigm is about to take over the scene.

In addition to purely practical values, cognitive values also figure into scientific deliberations. One way of introducing cognitive values is to consider the cognitive value that accrues to the act of accepting a hypothesis. Although such values may have a role to play, such a role does not exhaust the significance of cognitive values in scientific decision-making. This paper makes a plea for consideration of epistemic value—that is, value attaching to a state of belief—and defends the notion of cognitive epistemic value against some criticisms that have been raised. A stability requirement for epistemic value functions is argued for on the basis of considerations of diachronic coherence. This stability requirement is sufficient to obtain the Value of Learning Theorem, which says that the expected utility of cost-free learning cannot be negative. This holds also for cognitive epistemic values, provided that the stability requirement is met.

The axiological question of the role of economic values in the configuration of science is analyzed here following several steps: 1) the acceptance of the presence of values in science (among them, economic values in connection with scientific progress); 2) the clarification of the realms of values in science, which gives room for an "economics of science"; 3) the analysis of economic values in the internal perspective (cognitive and methodological), which is called "economy of research"; 4) the examination of external economic values of science as social activity and in the uses and applications of science; and 5) the assessment of the possibility of an "economic axiology of science" (i.e., the articulation of economic values as a system where economic dimension of rationality should have an important task). The paper seeks an alternative vision to those already available, insofar as it is looking for new aspects of economic values, such as those involved in scientific results or outcomes, in addition to those considered in scientific aims and processes.