Philosophical work on values in science is held back by widespread ambiguity about how values bear on sci entific choices. Here, I disambiguate several ways in which a choice can be value-laden and show that this disambiguation has the potential to solve and dissolve philosophical problems about values in science. First, I characterize four ways in which values relate to choices: values can motivate, justify, cause, or be impacted by the choices we make. Next, I put my proposed taxonomy (...) to work, using it to clarify one version of the argument from inductive risk. The claim that non-epistemic values must play a role in scientific choices that run inductive risk makes most sense as a claim about values being needed to justify such choices. The argument from inductive risk is not unique: many philosophical arguments about values in science can be more clearly understood and assessed by paying close attention to how values and choices are related. (shrink)

The recurring claim that the construct of psychopathy is value laden often is not qualified in enough detail. The chapters in this part of the volume, instead, investigate in depth the role and significance of values in different aspects of the construct of psychopathy. Following these chapters, but also by offering a background to them, we show how certain values are involved in the characterisation of psychopathy, inform societal needs satisfied by this construct, and have a central role in (...) determining whether psychopathy is a mental disorder. Moreover, we relate this description to our criticism of the view that the entrenchment of the notion of psychopathy with values in principle renders it irreconcilable with sound psychiatric theory and practice. However, we also recognize that the value-ladenness of psychopathy leaves open other important challenges. Meeting them needs addressing interdisciplinary interrelated issues that have empirical, normative, and theoretical dimensions. (shrink)

Faced with the charge of value-ladenness in their theories, researchers in evolutionary psychology (EP) argue that their science is entirely free of values; their hypotheses only concern scientific facts, without any socio-cultural value judgments. Lynn Hankinson Nelson, a renowned feminist scholar of science, denies this. In her book and papers, Nelson finds that their hypotheses do contain evaluative components. One such example is the fear of snakes. While this fear was adaptive to the environment in the past, (...) evolutionary psychologists argue that this trait is now “maladaptive” because city-dwellers would rarely encounter snakes in their environment. However, Nelson argues that labeling this trait “maladaptive” implies that this fear is irrational since this claim cannot be understood otherwise. This paper argues that this and other arguments made by Nelson for demonstrating the value-ladenness in EP’s hypotheses have serious flaws. For instance, we argue that investigating the psychological mechanisms behind the fear and their developmental and energy costs would allow for proper interpretation of evolutionary psychologists’ claims for the maladaptive fear of snakes without any normative implication. We also maintain that some of her arguments fail to demonstrate their connection to the point at the center of the debates between EP and feminism. While Nelson may be right in stating that EP’s hypotheses have evaluative components, she does not prove their strong political or normative implications, which is central to the debate over EP. (shrink)

Evaluative claims and assumptions are ubiquitous in positive psychology. Some will deny this. But such disavowals are belied by the literature. Some will consider the presence of evaluative claims a problem and hope to root them out. But this is a mistake. If positive psychology is to live up to its raison d’être – to be the scientific study of the psychological components of human flourishing or well-being – it must make evaluative claims. Well-being consists in those things that are (...) good for us, that make life go well. Thus, one cannot investigate this topic without making claims about what is good for people and what they have reason to do. It’s time, therefore, to embrace the fact that positive psychology is value-laden. Doing so would benefit the field by allowing for more rigorous theorizing, and – perhaps counterintuitively – increasing the field’s objectivity. (shrink)

Critics have challenged agricultural scientists to address concerns for environmental quality, farm size and structure, international justice, and the health and welfare of consumers and farm labor in research planning. The goal of this research was to determine what is and what could be done to consider value-laden knowledge relevant to these concerns in research planning. Descriptions of a state agricultural experiment station and of a hierarchy of inquiry that included applied systems analysis and reductionist approaches to science revealed (...) the goal-seeking and expert-centered nature of agricultural research. Value-laden and value-free knowledge of agricultural scientists and administrators were heavily represented in broad research goals such as increased productivity and efficiency. In addition, these goals were not evaluated at the levels of inquiry typically practiced by agricultural scientists. A soft systems methodology provided a more holistic level of inquiry that could facilitate consideration of value-laden and value-free knowledge of world views more diverse than those of agricultural scientists and administrators. Scientists could function as co-learners with other participants to identify issues and to conceptualize systems that are relevant to improving research planning. Moreover, researching the practice of soft systems offers opportunities for exploring systems ideas and holistic value theory in relation to agricultural research. (shrink)

Environmental controversies are often framed as conflicts between environmentalist and antienvironmentalist positions. The underlying dimensions of ethics and justice tend to be overlooked. This article seeks to integrate insights from environmental ethics and sociological observations through a case study of a watershed conflict. A controversy emerged in the 1990s when residents of the New York City watershed filed a lawsuit to block NYC’s proposed regulations for the land surrounding the streams and reservoirs that supply NYC’s drinking water. The conflict was (...) resolved after NYC agreed to provide economic development funds to the watershed towns in exchange for accepting the regulations. An analysis of interviews with NYC watershed town supervisors reveals that the conflict was resolved because underlying competing theories of justice were addressed. This contradicts the popular narrative that an environmental conflict can be resolved when competing parties come to the realization that natural ecosystems provide valuable water-purification services. (shrink)

Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in science) have not been (...) satisfactorily addressed by proponents of the VLT, it proposes four prerequisites which any model for values in the acceptance/rejection phase of scientific inquiry should respect, coming from the fundamental requirement to distinguish between facts and values: (1) the truth of scientific knowledge must be ensured; (2) the uncertainties associated with scientific claims must be stated clearly; (3) claims accepted into the scientific corpus must be distinguished from claims taken as a basis for action. An additional prerequisite of (4) simplicity and systematicity is desirable, if the model is to be applicable. Methodological documents from international institutions and regulation agencies are used to illustrate the prerequisites. A model combining Betz’s conception (stating uncertainties associated with scientific claims) and Hansson’s corpus model (ensuring the truth of the scientific corpus and distinguishing it from other claims taken as a basis for action) is proposed. Additional prerequisites are finally suggested for future research, stemming from the requirement for philosophy of science to self-reflect on its own values: (5) any model for values in science must be descriptively and normatively relevant; and (6) its consequences must be thoroughly assessed. (shrink)

The objective of this article is to analyse the value-ladenness of technology in the context of medicine. To address this issue several characteristics of technology are investigated: i) its interventive capacity, ii) its expansiveness and iii) its influence on the concept of disease, iv) its generalising character, v) its independence of the subjective experience of the patient. By this analysis I hope to unveil the double face of technology: Technology has a Janus-face in modern medicine, and the opposite (...) of its factual face is evaluative. (shrink)

The American Journal of Bioethics, Volume 12, Issue 2, Page 20-22, February 2012.

Review of: "Straightening the ‘Value-Laden Turn’: Minimising the Influence of Values in Science".

The political engagement of scientists is not necessarily left-wing, and even when it is, it can take widely varying forms. This is illustrated by the specific character of Dutch scientific activism in the 1930s and 40s, which took shape in a society where ‘pillarized’ social divisions were more important than horizontal class structure. This paper examines how, within this context, the Delft physicist Jan Burgers developed a version of scientific politics, built on a philosophy of value-laden science.

We applaud Shen et al. (2024) for offering a framework to address how to return research results from digital phenotyping within the discipline of psychiatry. However, given the value-laden nature...

The focus of social simulation on representing the social world calls for an investigation of whether its implementations are inherently value-laden. In this article, I investigate what kind of thing implementation is in social simulation and consider the extent to which it has moral significance. When the purpose of a computational artefact is simulating human institutions, designers with different value judgements may have rational reasons for developing different implementations. I provide three arguments to show that different implementations amount (...) to taking moral stands via the artefact. First, the meaning of a social simulation is not homogeneous among its users, which indicates that simulations have high interpretive malleability. I place malleability as the condition of simulation to be a metaphorical vehicle for representing the social world, allowing for different value judgements about the institutional world that the artefact is expected to simulate. Second, simulating the social world involves distinguishing between malfunction of the artefact and representation gaps, which reflect the role of meaning in simulating the social world and how meaning may or not remain coherent among the models that constitute a single implementation. Third, social simulations are akin to Kroes’ techno-symbolic artefacts, in which the artefact’s effectiveness relative to a purpose hinges not only on the functional effectiveness of the artefact’s structure, but also on the artefact’s meaning. Meaning, not just technical function, makes implementations morally appraisable relative to a purpose. I investigate Schelling’s model of ethnic residential segregation as an example, in which different implementations amount to taking different moral stands via the artefact. (shrink)

Do the introspectively ascertainable aspects of our moral experiences carry ontological objective purport—portraying reality as containing worldly moral properties and facts, thus supporting moral realism? Horgan and Timmons answer this question in the negative, arguing that their non-realist view, cognitivist expressivism, can accommodate the introspectively ascertainable moral phenomenology just as well as realism can—where accommodating the phenomenology means accounting for it without construing it as misleading or erroneous. If sound, this constitutes an important defense of cognitivist expressivism, undermining a central (...) attraction of realism. They thus pose a challenge to realists to identify any aspects of moral phenomenology that cannot be accommodated by expressivism and instead favor realism. I here take up that challenge, in two stages. First, I argue that cognitivist expressivism does not after all capture certain important aspects of the phenomenology of the sort of moral experience on which they focus, while realism does. This argument does not depend on claiming that the phenomenology has ontological objective purport. The claim so far is just that there is more to categorical authoritativeness than the expressivist account captures, though this leaves the door open to Kantian rationalism as well as realism. Second, I will go on to argue that although some aspects of moral phenomenology may only point to this broader range of views, others do specifically carry ontological objective purport and thus directly support realism insofar as we take the phenomenology seriously. (shrink)

Transparency and openness are broadly endorsed in energy and environmental modelling and analysis, but too little attention is given to the transparency of value-laden assumptions. Current practices for transparency focus on making model source code and data available, documenting key equations and parameter values, and ensuring replicability of results. We argue that, even when followed, these guidelines are insufficient for achieving deep transparency, in the sense that results often remain driven by implicit value-laden assumptions that are opaque to (...) other modellers and researchers, and that may not be understood by wider audiences to be controversial. This paper identifies additional best practices for achieving transparency by highlighting issues where disagreement over value judgements will persist for the foreseeable future. Recommendations for deepening transparency are developed by learning from successes and ongoing challenges represented in three case studies. We provide recommendations to accelerate the adoption of additional best practices for deepening transparency of energy and environmental modelling in policy-relevant domains, increasing stakeholder participation with non-modellers, and encouraging interdisciplinary dialogue. (shrink)

Recently clinicians have become more reliant on technologies such as artificial intelligence (AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of diseases, especially mental health disorders. These remarks, however, apply primarily to Europe, the USA, China and other technologically developed nations. Africa is yet to leverage the potential applications of AI and ML within the medical space. Sub-Saharan African countries are currently disadvantaged economically and infrastructure-wise. Yet precisely, these circumstances create significant opportunities for the deployment of (...) medical AI, which has already been deployed in some places in the continent. However, while AI and ML have come with enormous promises in Africa, there are still challenges when it comes to successfully applying AI and ML designed elsewhere within the African context, especially in diagnosing mental health disorders. We argue, in this paper, that there ought not to be a homogeneous/generic design of AI and ML used in diagnosing mental health disorders. Our claim is grounded on the premise that mental health disorders cannot be diagnosed solely on ‘factual evidence’ but on both factual evidence and value-laden judgements of what constitutes mental health disorders in sub-Saharan Africa. For ML to play a successful role in diagnosing mental health disorders in sub-Saharan African medical spaces, with a precise focus on South Africa, we allude that it ought to understand what sub-Saharan Africans consider as mental health disorders, that is, the value-laden judgements of some conditions. (shrink)

Disagreement in philosophy is all-pervasive and irresolvable. There is almost no thesis in philosophy about which philosophers agree. In contrast to most contemporary accounts of philosophical disagreement, I argue that a significant proportion of philosophical disagreements are rooted in differences regarding values. A second thesis that I shall defend in this paper is that disagreements regarding values are not resolvable by argumentative means.

Our concept of disorder is changing. This causes problems for projects of descriptive conceptual analysis. Conceptual change means that a criterion that was necessary for a condition to be a disorder at one time may cease to be necessary a relatively short time later. Nevertheless, some conceptually based claims will be fairly robust. In particular, the claim that no adequate account of disorder can appeal only to biological facts can be maintained for the foreseeable future. This is because our current (...) concept of disorder continues to be laden with ethical and political values in multiple ways. (shrink)

Marjorie Shostak's ethnography, Nisa: The Life and Words of a !Kung Woman, is analyzed as a case study of feminist social science. Three principles of feminist research are suggested as standards for evaluation. After discussion of the principles and analysis of the text, I raise a criticism of the principles as currently sketched. The entire project is framed by the question of how best to resolve conflict between researcher and participant accounts.

We show that if among the tested hypotheses the number of true hypotheses is not equal to the number of false hypotheses, then Neyman-Pearson theory of testing hypotheses does not warrant minimal epistemic reliability. We also argue that N-P does not protect from the possible negative effects of the pragmatic value-laden unequal setting of error probabilities on N-P’s epistemic reliability. Most importantly, we argue that in the case of a negative impact no methodological adjustment is available to neutralize it, (...) so in such cases the discussed pragmatic-value-ladenness of N-P inevitably compromises the goal of attaining truth. (shrink)

Quantitative researchers often discuss research ethics as if specific ethical problems can be reduced to abstract normative logics (e.g., virtue ethics, utilitarianism, deontology). Such approaches overlook how values are embedded in every aspect of quantitative methods, including ‘observations,’ ‘facts,’ and notions of ‘objectivity.’ We describe how quantitative research practices, concepts, discourses, and their objects/subjects of study have always been value-laden, from the invention of statistics and probability in the 1600s to their subsequent adoption as a logic made to appear (...) as if it exists prior to, and separate from, ethics and values. This logic, which was embraced in the Academy of Management from the 1960s, casts management researchers as ethical agents who ought to know about a reality conceptualized as naturally existing in the image of statistics and probability (replete with ‘constructs’), while overlooking that S&P logic and practices, which researchers made for themselves, have an appreciable role in making the world appear this way. We introduce a different way to conceptualize reality and ethics, wherein the process of scientific inquiry itself requires an examination of its own practices and commitments. Instead of resorting to decontextualized notions of ‘rigor’ and its ‘best practices,’ quantitative researchers can adopt more purposeful ways to reason about the ethics and relevance of their methods and their science. We end by considering implications for addressing ‘post truth’ and ‘alternative facts’ problems as collective concerns, wherein it is actually the pluralistic nature of description that makes defending a collectively valuable version of reality so important and urgent. (shrink)

In this work, we explore the epistemic import of the value-ladenness of Neyman-Pearson’s Theory of Testing Hypotheses by reconstructing and extending Daniel Steel’s argument for the legitimate influence of pragmatic values on scientific inference. We focus on how to properly understand N-P’s pragmatic value-ladenness and the epistemic reliability of N-P. We develop an account of the twofold influence of pragmatic values on N-P’s epistemic reliability and replicability. We refer to these two distinguished aspects as “direct” and (...) “indirect”. We discuss the replicability of experiments in terms of the indirect aspect and the replicability of outcomes in terms of the direct aspect. We argue that the influence of pragmatic values is beneficial to N-P’s epistemic reliability and replicability indirectly. We show that while the direct influence of pragmatic values can be beneficial, its negative effects on reliability and replicability are also unavoidable in some cases, with the direct and indirect aspects possibly being incongruent. (shrink)

My intention is to cast light on the characteristics of epistemic or fundamental research (in contrast to application-oriented research). I contrast a Baconian notion of objectivity, expressing a correspondence of the views of scientists to the facts, with a pluralist notion, involving a critical debate between conflicting approaches. These conflicts include substantive hypotheses or theories but extend to values as well. I claim that a plurality of epistemic values serves to accomplish a non-Baconian form of objectivity that is apt to (...) preserve most of the intuitions tied to the objectivity of science. For instance, pluralism is the only way to cope with the challenge of preference bias. Furthermore, the plurality of epistemic values cannot be substantially reduced by exploring the empirical success of scientific theories distinguished in light of particular such values. However, in addition to pluralism at the level of theories and value-commitments alike, scientific research is also characterized by a joint striving for consensus which I trace back to a shared epistemic attitude. This attitude manifests itself, e.g., in the willingness of scientists to subject their claims to empirical scrutiny and to respect rational argument. This shared epistemic attitude is embodied in rules adopted by the scientific community concerning general principles of dealing with knowledge claims. My contention is that pluralism and consensus formation can be brought into harmony by placing them at different levels of consideration: at the level of scientific reasoning and at the level of social conventions regarding how to deal with claims put forward within the scientific community. (shrink)

Critical psychiatry has recently echoed Szasz’s longstanding concerns about medical understandings of mental distress. According to Szaszianism, the analogy between mental and somatic disorders is illegitimate because the former presuppose psychosocial and ethical norms, whereas the latter merely involve deviations from natural ones. So-called “having-it-both-ways” views have contested that social norms and values play a role in _both_ mental and somatic healthcare, thus rejecting that the influence of socio-normative considerations in mental healthcare compromises the analogy between mental and somatic disorders. (...) This paper has two goals. Firstly, I argue that having-it-both-ways views fail to provide a compelling answer to Szasz’s challenge. The reason is that what is essential to Szasz’s argument is not that mental disorder attributions involve value judgements, but that mental attributions _in general_ do. Mental disorders are thus doubly value-laden and, _qua_ mental, only metaphorically possible. To illustrate this, I construe Szasz’s view and Fulford’s having-it-both-ways approach as endorsing two different kinds of expressivism about mental disorders, pointing out their different implications for the analysis of delusions. Secondly, I argue, against Szaszianism, that Szasz’s rejection of the analogy is relatively irrelevant for discussions about the appropriateness of medicalizing mental distress. Specifically, I draw from socio-normative approaches to the psychopathology/social deviance distinction and mad and neurodiversity literature to argue that a) it is still possible to distinguish social deviance from psychopathology once we reject the analogy; and b) that _both_ medicalizing and normalizing attitudes to mental distress can harmfully wrong people from relevant collectives. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with Kuhn a number (...) of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)

Consider any choice that affects some social policy. A decision that considers evidence will, at its heart, contain some kind of explicit or implicit “because” statement: “We are doing X because the evidence says Y.” But can evidence ever truly speak for itself, in the sense of being reducible to objective utterances that are either correct or in need of correction? Before answering, consider what you'd prefer. Would you rather receive evidence that was free of any value judgments imposed (...) by human actors, that was laden with value judgments that you agree with, or laden with value judgments that you disagree with? The central assertion of this essay is that, throughout policy analysis but especially in assessments of the costs and benefits of regulating versus encouraging new technologies (cost‐benefit analysis, or CBA), the first possibility above is a mirage, and the second and third are self‐contradictory. Instead, we are overwhelmingly confronted with a fourth possibility: we receive evidence that appears to be (or is deliberately touted as) value neutral but is suffused with hidden value judgments.In the second part of this essay, entitled “A Guided Tour through Inevitable Value Judgments,” I identify in a systematic way approximately sixty‐five value judgments that are routinely (in some cases, invariably) made in CBA, but that are kept hidden. For each judgment, I discuss its genesis as it is most commonly invoked in CBA, explain how it is hidden in plain sight, and offer one or more value judgments that could be made instead of or in addition to the conventional one. The alternative judgments highlight the width of the spectrum of reasonable conclusions an analyst could reach merely by substituting other judgments for the ones currently embedded.Bringing hidden value judgments to light is doubly valuable. First, it allows discussion to ensue on a level playing field; instead of conclusory statements about what the evidence says, transparency permits statements taking the form of “when channeled through these value judgments, the evidence says this.” Perhaps more importantly, transparency about value judgments permits participants in the discussions to offer interpretations of evidence contingent on there being different value judgments chosen at one or more points in the analysis, interpretations that may suggest that alternative course(s) of action are preferable to the one being championed. (shrink)

The relation between conservation science and taxonomy is typically seen as a simple dependency of the former on the latter. This dependency is assumed to be strictly one-way to avoid normative concerns from conservation science inappropriately affecting the descriptive discipline of taxonomy. In this paper, I argue against this widely assumed standard view on the relation between these two disciplines by highlighting two important roles for conservation scientists in scientific decisions that are part of the internal stages of taxonomy. I (...) show that these roles imply that the two disciplines should be interdependent and that value-judgments should play a substantial role in both. (shrink)

Nietzsche writes a preface to _The Gay Science_ in 1886, four years after its first four books were in print. In this address, he explains that he has _been ill_ and is _in recovery_. He diagnoses himself as having suffered from “romanticism.” Nietzsche warns that he will henceforth vent his malice on the sort of lyrical romantic sentimentalism from which he suffered. Nietzsche then undertakes to write an additional fifth book to the corpus, which he added in 1887—a year after (...) the above-referenced preface, thereby providing a _new_ end in departure from his previous romantic excursions of the initial four books of _GS_. I wish to trace how these claims—of illness and convalescence are related to what I argue is a major philosophical turn in Nietzsche’s thinking on the nature of reality and how reality matters to us—as value. In this essay, I will locate Nietzsche’s turn. To do so, I explain (1) what Nietzsche describes as “romantic pessimism,” that is, an epistemological dualism (i.e., assertion of an irresolvable appearance versus reality distinction). I will first explain and then show how Nietzsche suffers from this illness in the early books of _GS_, using textual examples to demonstrate his epistemological presuppositions and romantic-pessimistic preferences (which manifest as a defiant claim that fictions are preferred to reality, thereby still crediting an appearance-reality distinction); (2) how by his later book five of _GS_ Nietzsche plays a different tune by which prior dualisms dissolve in his affirmation of a co-implication of fiction and truth, such that (a) neither are wholly separate from the other, and (b) it becomes difficult if not impossible to distinguish between them. (shrink)

The primary aim of this paper is to critically evaluate the deductive model of ethical applications, which is based on normative ethical theories like deontology and consequentialism, and to show why a number of models have failed to furnish appropriate resolutions to practical moral problems. Here, for the deductive model, I want to call it a “Linear Mechanical Model” because the basic assumption of this model is that if a normative theory is sacrosanct, then the case is as it is. (...) The conclusion derived from the case will also be correct, true and acceptable. However, traditional ethicists used to apply their ethical theories, but they did not know which moral theory was effective on the ground level of reality. The study will show readers how ethical theories are in conflict with each other in the case of euthanasia. In more precise words, “which ethical theories are said to be applied, meta-ethical or normative, or both for the resolution of ethical problems? If normative theories are said to be applied, how the application can take place when it is contrary to our experience, that (then) in a situation of moral crises, no one really applies a theory?” For that, my argument is the linear model has failed because it is rigid, often ignores the agents’ intrinsic values, and has no space to amend it, no matter how bizarre the consequence is. Its alternative is the Inductive model. For that, the paper will take three moral principles (autonomy, beneficence including maleficence, and justice) of Beauchamp & Childress. This suggests us for resolving value-laden moral problems, we should consider some steps such as a) recognising moral issues to start with; b) developing the moral imagination; c) sharpening analytical/critical skills; d) testing out disagreements; e) effecting decisions and behavior; and f) implementation, closure, and process are of vital importance, in other words, it starts with the free and informed consensus of all interested parties, but this model also has been failed because the model could not give a systematic organization to their way of resolution. Here, my argument is that the inductive model provides resolution of the practical problem but ignores what is ethically obligatory, permissible, or wrong in that situation, and there are no appropriate suggestions in the case of a moral crisis. (shrink)

Husserl holds that the theoretical sciences should be value-free, i.e., free from the values of extra-scientific practices and guided only by epistemic values such as coherence and truth. This view does not imply that to Husserl the sciences would be immune to all criticism of interests, goals, and values. On the contrary, the paper argues that Husserlian phenomenology necessarily embodies reflection on the epistemic values guiding the sciences. The argument clarifies Husserl’s position by comparing it with the pluralistic position (...) developed in feminist epistemology, according to which sciences may be guided by several competing sets of epistemic values. Further, the existence of alternative epistemic values suggests that choices among such values are social and historically conditioned. Indeed, this is how Husserl’s mature discussion in The Crisis can be understood: his examination of Galileo’s contribution in physics operates as a criticism of the unquestioned dominance of certain set of inherited epistemic values, including the values of accuracy and universal applicability. Indeed, his The Origin of Geometry endorses another set of epistemic values, most importantly that of ontological heterogeneity. Husserl’s analysis demonstrates that the choice of any set of epistemic values is influenced by historical and social factors. Moreover, Husserl argues that we can only avoid biases due to “spells of the time” by continued reflection – Besinnung, in his terms – on the role of values in science. (shrink)

Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations over (...) values is a mistake and unnecessary for avoiding the wishful thinking. Values have a deeper role to play in science. (shrink)

Attention is drawn to the threat posed by climate change to symbolically laden places, landscapes and landmarks, and suggested that, insofar as some of those sites are treated as sacred by certain populations, their disturbance may be especially problematic. Special consideration is given to the significance glacial retreat for local, nearby populations, and its importance from the point of view of climate justice and ethics is discussed. The potential value of iconic sites from the perspective of engagement and action (...) on climate change is considered. It is concluded that climate impacts on symbolically charged places in the landscape should be of significant concern, as well as interest, for policy and decision-making. (shrink)

This paper draws upon the history of scientific studies of inheritance in Mendel’s best-remembered model organism, the garden pea, as a source of two parables – one pessimistic, the other optimistic – on the challenges of data linkage in plants. The moral of the pessimistic parable, from the era of the biometrician-Mendelian controversy, is that the problem of theory-ladenness in data sets can be a major stumbling block to making new uses of old data. The moral of the optimistic (...) parable, from the long-run history of studies at the John Innes Centre of aberrant or “rogue” pea varieties, is that an excellent guarantor of the continued value of old data sets is the availability of the relevant physical materials – in the first instance, the plant seeds. (shrink)