Applications of Science

The aptly called “simulation hypothesis” is the latest version of the historical skeptical philosophical speculation. The simulation hypothesis in its contemporary form is tied to sense inputs from sources (typically technologically based) other than external objects in the immediate environment. Let’s explore this: so why might some people take the modern-day philosophical simulation hypothesis seriously, and others think it is a bunch of covfefe? A wide-ranging consideration of the belief that we are living in a simulated world. Considers both philosophical (...) and psychological aspects of such belief. An annotated reference list is provided for those interested in pursuing the topic in more detail. (shrink)

On the surface, developing a social psychology of science seems compelling as a way to understand how individual social cognition – in aggregate – contributes towards individual and group behavior within scientific communities (Kitcher, 2002). However, in cases where the functional input-output profile of psychological processes cannot be mapped directly onto the observed behavior of working scientists, it becomes clear that the relationship between psychological claims and normative philosophy of science should be refined. For example, a robust body of social (...) psychological research demonstrates implicit gender bias in the evaluation of others (e.g., Steinpreis, Anders, & Ritzke, 1999). Many expected implicit bias to be a major cause of women’s underrepresentation in math intensive fields of science; however, quantitative sociological research of hiring and manuscript and grant evaluation has discovered no gender disparity in outcomes (Ceci & Williams, 2011). Why might this be so? This paper will discuss methodological challenges that go beyond classic problems of external validity in extrapolating psychological effects and explanations to scientific communities. These problems include more complex external validity issues raised by the introduction of multi-process models of cognition (e.g., implicit versus explicit social cognition) as well as the reflexive role that folk and experimental theories of social psychology play in guiding the behavior of scientists at the individual and community level. (shrink)

Review of David Ludwig, Inkeri Koskinen, Zinhle Mncube, Luana Poliseli, and Luis Reyes-Galindo, eds. Global Epistemologies and Philosophies of Science. Routledge, 2021, pp.i-xviii+319.

To identify and conceptualize research problems in science, philosophers and often scientists rely on classical accounts of problems that focus on intellectual problems defined in relation to theories. Recently, philosophers have begun to study the structures and functions of research problems not defined in relation to theories. Furthermore, scientists have long pursued research problems often labeled as practical or applied. As yet, no account of problems specifies the description of both so-called intellectual problems and so-called applied problems. This article proposes (...) a new conceptual framework of problems that accounts both for intellectual aspects of problems and for their practical or applied aspects. I illustrate the account with an example of a recent research project from evolutionary biology, and I indicate further routes by that to develop the account, especially in connection to empirical studies of science. (shrink)

This volume considers forms of information manipulation and restriction in contemporary society, paying special attention to contemporary paternalistic practices in big data and scientific research, as the way in which the flow of information or knowledge might be curtailed by the manipulations of a small body of experts or algorithms.

This discussion centers on two desiderata: the role of measurement in information-gathering and physical interaction in scientific practice. By taking inspiration from van Fraassen’s view, we present a methodological account of perspectival measurement that addresses empirical practice where there is complex intervention, disagreeing results, and limited theory. The specific aim of our account is to provide a methodological prescription for developing measurement processes in the context of limited theory. The account should be useful to philosophers of science, who are interested (...) in the intersection between representation and intervention; scientists, who are interested in methodological suggestions for theory-development and reliability; and interdisciplinary researchers, who are interested in the intersections between the pandemic, built environments, and social processes. We apply the process-view of measurement to COVID-19, specifically, measuring replication in the SARS-CoV-2 virus. The aim is to show that our account tracks key elements—manipulation/intervention, independence, invariance, and theory-development—by organizing unfolding measurement processes. Additionally, we use our account to make prescriptive suggestions for measurement practice in the COVID-19 context by discussing the need to broaden measurement perspective on interaction, manipulation, and production. (shrink)

This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry (...) bias does not only threaten existing conventions but may impede their empirically warranted improvement if they align with industry preferences. My empiricist account of standards of inductive risk avoids such a problem by asserting that conventional justification can be pragmatically warranted but has, in principle, only a provisional status. Methodological conventions, therefore, should not only be defended from preference-based infringements on their coordinative function but ought to be subjected to empirical criticism. (shrink)

Democracy hinges on the personal and civic decision-making capabilities of publics. In our increasingly technoscientific world, being well-informed requires an understanding of science. Despite acknowledging public understanding of science as an important part of being well-informed, publics’ engagement with science remains limited. I argue that part of publics’ disengagement with science is because information transmitted about science, like science itself, has been decontextualized. Though there are many ways to decontextualize information, obscuring values in science is a popular means of doing (...) so. Due to the ubiquitous nature of values, science misrepresented as ‘value-free’ will be the focus of my decontextualization critique. Epistemic values and non-epistemic values are the sorts of values that have been misrepresented by views like the value-free ideal. The VFI is the idea that non-epistemic values should not play a role in the evaluation of evidence and has been heavily criticized on practical and normative grounds. This has led to alternatives to the VFI being proposed, including ways for non-epistemic values to be included in the evaluation of evidence. In a yet to be explored implication of the VFI, I argue that models of science education and communication that accommodate the VFI have been popularized as a way to reinforce decontextualization. These models describe science and publics with only a minimal account of values, leading me to challenge them on practical and normative grounds since communicating science as ‘value-free’ is misrepresentative, and from a normative perspective undesirable, especially as including values can help engage publics. In response, I advocate for value-conscious descriptions of science instead. To catalyze this contextualization, I introduce key aspects for understanding values in science and call them the ‘KAUVIS’. By using a basis of transparency between scientists and publics, the KAUVIS provides a means to describe how values interact with science without dictating which values are the correct ones. The KAUVIS includes descriptions of the roles values take on, how values relate to the goals of research, and considers epistemic and ethical values. Hence, the KAUVIS can more accurately represent science than the VFI, and in so doing, contextualizes information about science in relation to research goals and social needs, making science more engaging. By developing the KAUVIS to describe values, I also show that traditional information transmission models are maladapted to conveying the true value- laden nature of science. As a consequence, I examine more value-conscious communication models which I show to be enhanced by the descriptive detail of the KAUVIS. However, unveiling the inner workings of values in science may also have negative consequences for how publics interpret and engage with science. After all, exposing values in science can lead to further dispute about science. Hence, the KAUVIS opens up questions like, what is lost by divulging values in science? My initiatory examination of the drawbacks of being explicit about values will uncover that even though there is a risk that publics may reject scientific claims, an understanding of values in science is desirable for decision-making and deliberation. In other words, a description of values can serve to clarify how they are being used, and help define what it is we are in disagreement about. Thus, by more accurately representing science and values, we might strengthen democracy by better providing publics the contextualized information they need for science to be of service. (shrink)

ABSTRACTBehavioral policies, such as nudges and boosts, are gaining prominence. Such policies are advertised as evidential public policies. Yet, they have significant evidential problems. I analyze an important example of behavioral policy, so-called Incentivized Smoking Cessation Policies. I focus on their evaluation with respect to health inequities. I demonstrate that the evaluations of Incentivized Smoking Cessation Policies can be characterized by a plurality of researchers making use of different kinds of evidence gathering methods. I argue that the evaluation of Incentivized (...) Smoking Cessation Policies’ impact on health inequities can best be accomplished by integrating different evidence gathering methods. More generally, pluralism of evidence gathering methods adds another consideration to the debate about evidential requirements of behavioral policy assessment. (shrink)

After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape how science gets pursued, and that (...) attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

Science makes a substantial contribution to the economy of developing countries such as Vietnam and its costs must be put into perspective, argues Quan-Hoang Vuong.

In debates about animal sentience, the precautionary principle is often invoked. The idea is that when the evidence of sentience is inconclusive, we should “give the animal the benefit of the doubt” or “err on the side of caution” in formulating animal protection legislation. Yet there remains confusion as to whether it is appropriate to apply the precautionary principle in this context, and, if so, what “applying the precautionary principle” means in practice regarding the burden of proof for animal sentience. (...) Here I construct a version of the precautionary principle tailored to the question of animal sentience together with a practical framework for implementing it. I explain and defend the key features of this framework, argue that it is well-aligned with current practice in animal welfare science, and consider and reject a number of influential counterarguments to the use of precautionary reasoning in this area. (shrink)

This book brings together eleven case studies of inductive risk-the chance that scientific inference is incorrect-that range over a wide variety of scientific contexts and fields. The chapters are designed to illustrate the pervasiveness of inductive risk, assist scientists and policymakers in responding to it, and productively move theoretical discussions of the topic forward.

In this article I ask two questions prompted by the phenomenon of ‘politically patterned’ climate change denial. First, can an individual's political commitments provide her with good reasons not to defer to cognitive experts’ testimony? Building on work in philosophy of science on inductive risk, I argue they can. Second, can an individual's political commitments provide her with good reasons not to defer to the Intergovernmental Panel on Climate Change's testimony? I argue that they cannot, because of the high epistemic (...) standards which govern that body's assertions. The conclusion discusses the theoretical and practical implications of my arguments. (shrink)

Forensic science and its influence on policing and the criminal justice system have increased since the beginning of the twentieth century. While the philosophies of the forensic science pioneers remain the pillar of modern practice, rapid advances in technology and the underpinning sciences have seen an explosion in the number of disciplines and tools. Consequently, the way in which we exploit and interpret the remnant of criminal activity are adapting to this changing environment. In order to best exploit the trace, (...) an interdisciplinary approach to both research and investigation is required. In this paper, nine postdoctoral research fellows from a multidisciplinary team discuss their vision for the future of forensic science at the crime scene, in the laboratory and beyond. This paper does not pretend to be exhaustive of all fields of forensic science, but describes a portion of the postdoctoral fellows’ interests and skills. (shrink)

Complex environmental problems require well-researched policies that integrate knowledge from both the natural and social sciences. Epistemic differences can impede interdisciplinary collaboration, as shown by debates between conservation biologists and anthropologists who are working to preserve biological diversity and support economic development in central Africa. Disciplinary differences with regard to 1) facts, 2) rigor, 3) causal explanation, and 4) research goals reinforce each other, such that early decisions about how to define concepts or which methods to adopt may tilt research (...) design and data interpretation toward one discipline’s epistemological framework. If one of the contributing fields imposes a solution to an epistemic problem, this sets the stage for what I call disciplinary capture. Avoiding disciplinary capture requires clear communication between collaborators, but beyond this it also requires that collaborators craft research questions and innovate research designs which are different from the inherited epistemological frameworks of contributing disciplines. (shrink)

In contemporary histories of psychology, William Moulton Marston is remembered for helping develop the lie detector test. He is better remembered in the history of popular culture for creating the comic book superhero Wonder Woman. In his time, however, he contributed to psychological research in deception, basic emotions, abnormal psychology, sexuality, and consciousness. He was also a radical feminist with connections to women's rights movements. Marston's work is an instructive case for philosophers of science on the relation between science and (...) values. Although Marston's case provides further evidence of the role that feminist values can play in scientific work, it also poses challenges to philosophical accounts of value-laden science. Marston's work exemplifies standard views about feminist value-laden research in that his feminist values help him both to criticize the research of others and create novel psychological concepts and research techniques. His scientific work includes an account of the nature of psycho-emotional health that leads to normative conclusions for individual values and conduct and for society and culture, a direction of influence that is relatively under-theorized in the literature. To understand and evaluate Marston's work requires an approach that treats science and values as mutually influencing; it also requires that we understand the relationship between science advising and political advocacy in value-laden science. (shrink)

The paper uses two historical examples, public health (1840-1880) and town planning (1945-1975) in Britain, to analyse the challenges faced by goal-driven research, an increasingly important trend in science policy, as exemplified by the prominence of calls for addressing Grand Challenges. Two key points are argued. (1) Given that the aim of research addressing social or global problems is to contribute to improving things, this research should include all the steps necessary to bring science and technology to fruition. This need (...) is captured by the idea of practical integration, which brings this type of research under the umbrella of collective practical reason rather than under the aegis of science. Achieving practical integration is difficult for many reasons: the complexity of social needs, the plurality of values at stake, the limitation of our knowledge, the elusive nature of the skills needed to deal with uncertainty, incomplete information and asymmetries of power. Nevertheless, drawing from the lessons of the case studies, it is argued that (2) practical integration needs a proper balance between values, institutions and knowledge: i.e. a combination of mutual support and mutual limitation. Pursuing such a balance provides a flexible strategy for approximating practical integration. (shrink)

This collection addresses two different audiences: 1) historians and philosophers of the life sciences reflecting on collaborations across disciplines, especially as regards defining and addressing Grand Challenges; 2) researchers and other stakeholders involved in cross-disciplinary collaborations aimed at tackling Grand Challenges in the life and medical sciences. The essays collected here offer ideas and resources both for the study and for the practice of goal-driven cross-disciplinary research in the life and medical sciences. We organise this introduction in three sections. The (...) first section provides some background and context. The second motivates our take on this topic and then outlines the central ideas of each paper. The third section highlights the specificity and significance of this approach by considering: a) how this collection departs from existing literature on inter- and trans-disciplinarity, b) what is characteristic about this approach, and c) what role this suggests for the history and philosophy of the life sciences in addressing Grand Challenges. (shrink)

The importance of science for guiding policy decisions has been an increasingly central feature of policy-making for much of the past century. But which science we have available to us and what counts as adequate science for policy-making shapes substantially the specific impact science has on policy decisions. Policy influences which science we pursue and how we pursue it in practice, as well as how science ultimately informs policy. Values inform our choices in these areas, as values shape the research (...) agendas scientists pursue, the issues debated as we decide on policy, and what counts as sufficient warrant in any given case. And what we value is shaped by our empirical understanding of what is, what is... (shrink)

Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the social organisation of science—Philip Kitcher’s well-ordered science—runs into a number (...) of problems. They undermine its philosophical plausibility and practical usefulness. I agree with Kitcher that arguments about the social organisation of science should recognise profound societal consequences of science. Kitcher argues that the appropriate organisation of science should therefore take into account laypersons’ values and needs when making decisions concerning research planning, evaluation and application. My criticisms show that this is not enough. Drawing on Helen Longino ideas, I argue that laypersons’ perspectives and knowledge may also be relevant when doing research. In order to show how more inclusive research practices may be possible, I discuss connections between philosophy of science and some developments in science policy, which has also recently shown considerable interest in democratic participation. I demonstrate how public participation experiments in science policy may sometimes be close enough to what the philosopher would recommend. Their analysis can thus be helpful for understanding how societal developments may provide opportunities for the involvement of laypersons in science and what factors may endanger its success. I conclude that a way to pursue a more socially relevant philosophy of science is to focus on the points of contact and possibilities of cooperation between philosophical proposals and these public participation initiatives. (shrink)

In this paper, I show that there are important but hitherto unnoticed similarities between key figures of the Vienna Circle and early defenders of sociology of knowledge. The similarities regard their stance on potential implications of the study of science for political and societal issues. I argue that notably Otto Neurath and Karl Mannheim are concerned with proposing a genuine political philosophy of science that is remarkably different from today’s emerging interest in the relation between science and society in philosophy (...) of science. (shrink)

Im Herbst des Jahres 20– breiten sich Gerüchte aus, dass am Genfer Kernforschungszentrum CERN, den gegenteiligen Versicherungen führender Teilchenphysiker zum Trotz, stabile schwarze Löcher erzeugt wurden. Daraufhin kommt es vielerorts zu Plünderungen. Auch vermelden zahlreiche Firmen und öffentliche Arbeitgeber, dass ein erheblicher Anteil der Belegschaft nicht am Arbeitsplatz erschienen ist. Rund um den Globus fragen sich Menschen ob der Hiobsbotschaften aus Genf: Steht nun der Weltuntergang tatsächlich kurz bevor? In der Sendung „Kontrovers“ im Deutschlandfunk diskutieren ein Teilchenphysiker, eine Juristin, ein (...) Wissenschaftsjournalist und ein Philosoph diese Ereignisse. Wir freuen uns, hier einen Mitschnitt der Sendung vorab veröffentlichen zu können. (shrink)

Despite the impressive amount of financial resources invested in carrying out large-scale brain simulations, it is controversial what the payoffs are of pursuing this project. The present paper argues that in some cases, from designing, building, and running a large-scale neural simulation, scientists acquire useful knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. What this means, why it is not a trivial lesson, and how it advances the literature on (...) the epistemology of computer simulation are the three preoccupations addressed by the paper. (shrink)

Além de responder à pergunta título, pretende-se também apresentar as linhas gerais de um caminho que vem sendo proposto por alguns pensadores sobre de que modo a ciência poderia se modificar de modo a que pudéssemos utilizá-la para resolver nossos principais problemas. Para tanto iniciaremos explicitando o que consideramos as características mais fundamentais da racionalidade científica hegemônica, a saber: o atomismo e o método axiomático. Em seguida, apresentamos alguns conhecidos problemas das ciências, evidenciando suas relações com estas características fundamentais. Tais (...) problemas são tanto epistemológicos e metodológicos, internos ao próprio conhecimento, quanto éticos, relacionados às suas consequências. Em seguida, indicamos como a forte interconexão destes dois tipos de problemas pode ser compreendida quando entendemos a ciência de modo instrumental como uma resposta ao interesse de previsão para manipulação e controle. Por fim, partindo do reconhecimento do caráter contingente e socialmente construído do conhecimento científico, inclusive de suas características fundamentais, respondemos à questão título e apontamos, ainda de modo incipiente, algumas possibilidades de modificações metodológicas que têm sido propostas nos últimos anos. Em especial, apresentamos as que foram rotuladas de complexidade e a transdisciplinaridade, indicando algumas questões e possíveis linhas de pesquisa que estas abordagens suscitam. (shrink)

While it is widely acknowledged that science is not “free” of non-epistemic values, there is disagreement about the roles that values can appropriately play. Several have argued that non-epistemic values can play important roles in modeling decisions, particularly in addressing uncertainties ; Risbey 2007; Biddle and Winsberg 2010; Winsberg : 111-137, 2012); van der Sluijs 359-389, 2012). On the other hand, such values can lead to bias ; Bray ; Oreskes and Conway 2010). Thus, it is important to identify when (...) it is legitimate to appeal to non-epistemic values in modeling decisions. An approach is defended here whereby such value judgments are legitimate when they promote democratically endorsed epistemological and social aims of research. This framework accounts for why it is legitimate to appeal to non-epistemic values in a range of modeling decisions, while addressing concerns that the presence of such values will lead to bias or give scientists disproportionate power in deciding what values ought to be endorsed. (shrink)

In recent years, the argument from inductive risk against value free science has enjoyed a revival. This paper investigates and clarifies this argument through means of a case-study: neonicitinoid research. Sect. 1 argues that the argument from inductive risk is best conceptualised as a claim about scientists’ communicative obligations. Sect. 2 then shows why this argument is inapplicable to “public communication”. Sect. 3 outlines non-epistemic reasons why non-epistemic values should not play a role in public communicative contexts. Sect. 4 analyses (...) the implications of these arguments both for the specific case of neonicitinoid research and for understanding the limits of the argument from inductive risk. Sect. 5 sketches the broader implications of my claims for understanding the “Value Free Ideal” for science. (shrink)

To arrive at their final evaluation of a manuscript or grant proposal, reviewers must convert a submission’s strengths and weaknesses for heterogeneous peer review criteria into a single metric of quality or merit. I identify this process of commensuration as the locus for a new kind of peer review bias. Commensuration bias illuminates how the systematic prioritization of some peer review criteria over others permits and facilitates problematic patterns of publication and funding in science. Commensuration bias also foregrounds a range (...) of structural strategies for realigning peer review practices and institutions with the aims of science. (shrink)

Scientific inquiry has led to immense explanatory and technological successes, partly as a result of the pervasiveness of scientific theories. Relativity theory, evolutionary theory, and plate tectonics were, and continue to be, wildly successful families of theories within physics, biology, and geology. Other powerful theory clusters inhabit comparatively recent disciplines such as cognitive science, climate science, molecular biology, microeconomics, and Geographic Information Science (GIS). Effective scientific theories magnify understanding, help supply legitimate explanations, and assist in formulating predictions. Moving from their (...) knowledge-producing representational functions to their interventional roles (Hacking 1983), theories are integral to building technologies used within consumer, industrial, and scientific milieus. -/- This entry explores the structure of scientific theories from the perspective of the Syntactic, Semantic, and Pragmatic Views. Each of these views answers questions such as the following in unique ways. What is the best characterization of the composition and function of scientific theory? How is theory linked with world? Which philosophical tools can and should be employed in describing and reconstructing scientific theory? Is an understanding of practice and application necessary for a comprehension of the core structure of a scientific theory? How are these three views ultimately related? (shrink)

This year’s topic is “Genomics and Philosophy of Race.” Different researchers might work on distinct subsets of the six thematic clusters below, which are neither mutually exclusive nor collectively exhaustive: (1) Concepts of ‘Race’; (2) Mathematical Modeling of Human History and Population Structure; (3) Data and Technologies of Human Genomics; (4) Biological Reality of Race; (5) Racialized Selves in a Global Context; (6) Pragmatic Consequences of ‘Race Talk’ among Biologists.

The moral terrain of science, the full range of ethical considerations that are part of the scientific endeavor, has not been mapped. Without such a map, we cannot examine the responsibilities of scientists to see if the institutions of science are adequately constructed. This paper attempts such a map by describing four dimensions of the terrain: (1) the bases to which scientists are responsible (scientific reasoning, the scientific community, and the broader society); (2) the nature of the responsibility (general or (...) role); (3) the level of responsibility (minimum demand or ideal); and (4) who bears the responsibility (the individual or the community). Such a map will be used to elucidate the recent debate over the publication of studies concerning H5N1 flu virus. (shrink)

The ideal of value free science states that the justification of scientific findings should not be based on non-epistemic (e.g. moral or political) values. It has been criticized on the grounds that scientists have to employ moral judgements in managing inductive risks. The paper seeks to defuse this methodological critique. Allegedly value-laden decisions can be systematically avoided, it argues, by making uncertainties explicit and articulating findings carefully. Such careful uncertainty articulation, understood as a methodological strategy, is exemplified by the current (...) practice of the Intergovernmental Panel on Climate Change (IPCC). (shrink)

Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of research on bias raises questions about the existence and extent of many hypothesized forms of bias. In addition, the notion of bias is predicated on an implicit ideal that, once articulated, raises questions about the normative implications (...) of research on bias in peer review. This review provides a brief description of the function, history, and scope of peer review; articulates and critiques the conception of bias unifying research on bias in peer review; characterizes and examines the empirical, methodological, and normative claims of bias in peer review research; and assesses possible alternatives to the status quo. We close by identifying ways to expand conceptions and studies of bias to countenance the complexity of social interactions among actors involved directly and indirectly in peer review. (shrink)

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

How to characterize the relationship between science and technology has been a sensitive issue for historians of technology. This essay uses a recent and controversial piece by Paul Forman as a springboard for reexamining the concept of applied science and asks whether “applied science” remains a useful term. Scholars have often taken “applied science” to mean the subordination of technological knowledge to scientific knowledge—and thus the subordination of history of technology to history of science. This essay argues that the historical (...) moment for sensitivity on the subject of applied science has passed, that even in instances where technology can accurately be described as subordinate to science it need not follow that its history is subordinate, and that the concept can be useful in addressing issues in the history and contemporary practice of engineering education. (shrink)

Such categories as applied science and pure science can be thought of as “ideological.” They have been contested in the public sphere, exposing long-term intellectual commitments, assumptions, balances of power, and material interests. This group of essays explores the contest over applied science in Britain and the United States during the nineteenth century. The essays look at the concept in the context of a variety of neighbors, including pure science, technology, and art. They are closely related and connected to contemporary (...) historiographic debate. Jennifer Alexander links the issues raised to a recent paper by Paul Forman. Paul Lucier and Graeme Gooday deal with the debates in the last quarter of the century in the United States and Britain, respectively. Robert Bud deals with the earlier part of the nineteenth century, with an eye specifically on the variety of concepts hybridized under the heading of “applied science.” Eric Schatzberg looks at the erosion of the earlier concept of art. As a whole, the essays illuminate both long-term changes and nuanced debate and are themselves intended to provoke further reflection on science in the public sphere. (shrink)

Weighing complex sets of evidence (i.e., from multiple disciplines and often divergent in implications) is increasingly central to properly informed decision-making. Determining “where the weight of evidence lies” is essential both for making maximal use of available evidence and figuring out what to make of such evidence. Weighing evidence in this sense requires an approach that can handle a wide range of evidential sources (completeness), that can combine the evidence with rigor, and that can do so in a way other (...) experts can assess and critique (transparency). But the democratic context in need of weight-of-evidence analysis also places additional constraints on the process, including communicability of the process to the general public, the need for an approach that can be used across a broad range of contexts (scope), and timeliness of process (practicality). I will compare qualitative and quantitative approaches with respect to both traditional epistemic criteria and criteria that arise from the democratic context, and argue that a qualitative explanatory approach can best meet the criteria and elucidate how to utilize the other approaches. This should not be surprising, as the approach I argue for is the one that most closely tracks general scientific reasoning. (shrink)

Philip Kitcher argued that the freedom to pursue one's version of the good life is the main aim of Mill's argument for freedom of expression. According to Kitcher, in certain scientific fields, political and epistemological asymmetries bias research toward conclusions that threaten this most important freedom of underprivileged groups. Accordingly, Kitcher claimed that there are Millian grounds for limiting freedom of inquiry in these fields to protect the freedom of the underprivileged. -/- I explore Kitcher's argument in light of the (...) interpretation Helen Longino gave to Mill's argument. She argued that free critical dialogue in the community allows bias to be overcome, through intersubjective criticism of hypotheses and the background assumptions that frame them. I suggest that Longino's approach allows for the identification of the fundamental problems of the research programs Kitcher targeted, and for the rejection of their claims to knowledge. Thus it is possible to address Kitcher's problem without limiting freedom of speech. (shrink)

Psychometrically oriented researchers construe low inter-rater reliability measures for expert peer reviewers as damning for the practice of peer review. I argue that this perspective overlooks different forms of normatively appropriate disagreement among reviewers. Of special interest are Kuhnian questions about the extent to which variance in reviewer ratings can be accounted for by normatively appropriate disagreements about how to interpret and apply evaluative criteria within disciplines during times of normal science. Until these empirical-cum-philosophical analyses are done, it will remain (...) unclear the extent to which low inter-rater reliability measures represent reasonable disagreement rather than arbitrary differences between reviewers. (shrink)

At a time when neoliberalism and financial austerity are together encouraging academic scientists to seek market alternatives to state funding, this essay investigates why, a century ago, their predecessors explicitly rejected private enterprise and the private ownership of ideas and inventions available to them through the patent system. The early twentieth century witnessed the success of a long campaign by British scientists to persuade the state to assume responsibility for the funding of basic research : their findings would enter the (...) intellectual commons; their rewards would be primarily reputational . The essay summarizes recent research in three separate fields of British technoscience—electricity, aviation, and agricultural botany—all of which were laying claim, at this time, to a heightened commercial or military importance that raised new questions about the ownership of scientific ideas. It suggests that each of the three established an idiosyncratic relationship with the patent system or with other forms of “intellectual property,” which would both influence their emergent disciplines and affect the extent to which commercial enterprise could remain a viable funding strategy. (shrink)

WE AIM HERE to outline a theory of evidence for use. More specifically we lay foundations for a guide for the use of evidence in predicting policy effectiveness in situ, a more comprehensive guide than current standard offerings, such as the Maryland rules in criminology, the weight of evidence scheme of the International Agency for Research on Cancer (IARC), or the US ‘What Works Clearinghouse’. The guide itself is meant to be well-grounded but at the same time to give practicable (...) advice, that is, advice that can be used by policy-makers not expert in the natural and social sciences, assuming they are well-intentioned and have a reasonable but limited amount of time and resources available for searching out evidence and deliberating. (shrink)

Science studies scholars of the twenty-first century have been arguing for a reconceptualization of science based on the emergence of new values and practices. Allegedly, these new norms have come from science in the context of application. However, the argument here is that science in the context of application is a phenomenon with as long and rich a history as so-called pure or basic science. Science in the context of application only appears to be new since so little light has (...) been shined on applied science by historians and philosophers of science. This article explores the consequences of reaching back into remote history seeking science in the context of application and finds that doing so helps scholars understand present day developments, as well. Three examples of historical applied science are explored: ancient Roman engineering, Enlightenment-era navigation and surveying, and American early Republic engineering. In addition, the work of I. Bernard Cohen is examined for historiographical evidence of a narrowing account of what counts as science in the post-WWII period. (shrink)

An empirically sensitive formulation of the norms of transformative criticism must recognize that even public and shared standards of evaluation can be implemented in ways that unintentionally perpetuate and reproduce forms of social bias that are epistemically detrimental. Helen Longino’s theory can explain and redress such social bias by treating peer evaluations as hypotheses based on data and by requiring a kind of perspectival diversity that bears, not on the content of the community’s knowledge claims, but on the beliefs and (...) norms of the culture of the knowledge community itself. To illustrate how socializing cognition can bias evaluations, we focus on peer-review practices, with some discussion of peer-review practices in philosophy. Data include responses to surveys by editors from general philosophy journals, as well as analyses of reviews and editorial decisions for the 2007 Cognitive Science Society Conference. (shrink)