The communist norm requires that scientists widely share the results of their work. Where did this norm come from, and how does it persist? Michael Strevens provides a partial answer to these questions by showing that scientists should be willing to sign a social contract that mandates sharing. However, he also argues that it is not in an individual credit-maximizing scientist's interest to follow this norm. I argue against Strevens that individual scientists can rationally conform to the communist norm, even (...) in the absence of a social contract or other ways of socially enforcing the norm, by proving results to this effect in a game-theoretic model. This shows that the incentives provided to scientists through the priority rule are sufficient to explain both the origins and the persistence of the communist norm, adding to previous results emphasizing the benefits of the incentive structure created by the priority rule. (shrink)

What differentiates scientific research from non-scientific inquiry? Philosophers addressing this question have typically been inspired by the exalted social place and intellectual achievements of science. They have hence tended to point to some epistemic virtue or methodological feature of science that sets it apart. Our discussion on the other hand is motivated by the case of commercial research, which we argue is distinct from (and often epistemically inferior to) academic research. We consider a deflationary view in which science refers to (...) whatever is regarded as epistemically successful, but find that this does not leave room for the important notion of scientific error and fails to capture distinctive social elements of science. This leads us to the view that a demarcation criterion should be a widely upheld social norm without immediate epistemic connotations. Our tentative answer is the communist norm, which calls on scientists to share their work widely for public scrutiny and evaluation. (shrink)

Research programs regularly compete to achieve the same goal, such as the discovery of the structure of DNA or the construction of a TEA laser. The more the competing programs share information, the faster the goal is likely to be reached, to society's benefit. But the "priority rule"—the scientific norm mandating that the first program to reach the goal in question receive all the credit for the achievement—provides a powerful disincentive for programs to share information. How, then, is the clash (...) between social and self interest resolved in scientific practice? This paper investigates what Robert Merton called science's "communist" norm, which mandates universal sharing of knowledge, and uses mathematical models of discovery to argue that a communist regime may be on the whole advantageous and fair to all parties, and so might be implemented by a social contract that all scientists would be willing to sign. (shrink)

Indigenous peoples are disproportionally vulnerable to climate change. At the same time, they possess valuable knowledge for fair and sustainable climate adaptation planning and policymaking. Yet Indigenous peoples and knowledges are often excluded from or underrepresented within adaptation plans and policies. In this paper we ask whether the concept of epistemic injustice can be applied to the context of climate adaptation and the underrepresentation of Indigenous knowledges within adaptation policies and strategies. In recent years, the concept of epistemic injustice has (...) gained prominence, indicating that someone has been unfairly discriminated against in their capacity as a knower. We argue that many climate adaptation policies are epistemically unjust towards Indigenous peoples because of the underrepresentation of Indigenous knowledges by showing how the case of Indigenous knowledges in climate adaptation planning and policy satisfies five conditions of epistemic injustice. We further consider what challenges there are to integrating local and Indigenous knowledges within development in general, and climate adaptation strategies in particular and how these can be addressed. Whether the lack of Indigenous knowledges in climate adaptation policies constitutes an epistemic injustice matters because an injustice denotes an unfair advantage to one group – whether by design or default – that ought to be remedied and redressed. (shrink)

Breaches of research integrity have gained considerable attention due to high-profile scandals involving questionable research practices by reputable scientists. These practices include plagiarism, manipulation of authorship, biased presentation of findings and misleading reports of significance. To combat such practices, policymakers tend to rely on top-down measures, mandatory ethics training and stricter regulation, despite limited evidence of their effectiveness. In this study, we investigate the occurrence and underlying factors of questionable research practices (QRPs) through an original survey of 3,005 social and (...) medical researchers at Swedish universities. By comparing the role of the organizational culture, researchers´ norms and counter norms, and individual motivation, the study reveals that the counter norm of Biasedness—the opposite of universalism and skepticism—is the overall most important factor. Thus, Biasedness was related to 40–60% of the prevalence of the questionable practices. The analysis also reveals the contradictory impact of other elements in the organizational environment. Internal competition was positively associated with QRP prevalence, while group-level ethics discussions consistently displayed a negative association with such practices. Furthermore, in the present study items covering ethics training and policies have only a marginal impact on the prevalence of these practices. The organizational climate and normative environment have a far greater influence. Based on these findings, it is suggested that academic leaders should prioritize the creation and maintenance of an open and unbiased research environment, foster a collaborative and collegial climate, and promote bottom-up ethics discussions within and between research groups. (shrink)

Starting from the sixties of the past century theory change has become a main concern of philosophy of science. Two of the best known formal accounts of theory change are the post-Popperian theories of verisimilitude (PPV for short) and the AGM theory of belief change (AGM for short). In this paper, we will investigate the conceptual relations between PPV and AGM and, in particular, we will ask whether the AGM rules for theory change are effective means for approaching the truth, (...) i.e., for achieving the cognitive aim of science pointed out by PPV. First, the key ideas of PPV and AGM and their application to a particular kind of propositional theories - the so called "conjunctive propositions" - will be illustrated. Afterwards, we will prove that, as far as conjunctive propositions are concerned, AGM belief change is an effective tool for approaching the truth. (shrink)

La neutralité axiologique est souvent présentée comme une vertu professorale, ou comme une composante essentielle d'une déontologie de l'enseignement. Nous mettons cette conception de la neutralité axiologique à l'épreuve, notamment parce qu'elle ne permet pas d'expliquer 1) l'importance d'un enseignement diversifié, 2) l'importance, pour les personnes subissant une influence illégitime, d'avoir des recours institutionnels, et 3) l'importance qui devrait être accordée par l'Université à l'autonomie des étudiant-e-s. Pour ces raisons, nous proposons plutôt d'interpréter la neutralité axiologique comme une exigence institutionnelle, (...) exigence compatible avec une certaine tradition de la liberté académique. (shrink)

In 1942 Robert K. Merton tried to demonstrate the structure of the normative system of science by specifying the norms that characterized it. The norms were assigned the abbreviation CUDOs: Communism, Universalism, Disinterestedness, and Organized skepticism. Using the results of an on-line survey of climate scientists concerning the norms of science, this paper explores the climate scientists’ subscription to these norms. The data suggests that while Merton’s CUDOs remain the overall guiding moral principles, they are not fully endorsed or present (...) in the conduct of climate scientists: there is a tendency to withhold results until publication, there is the intention of maintaining property rights, there is external influence defining research and the tendency to assign the significance of authored work according to the status of the author rather than content of the paper. These are contrary to the norms of science as proposed by Robert K. Merton. (shrink)

In what follows, I will give examples of the sorts of step that can be taken towards spelling out the intuition that, after all, good models might be true. Along the way, I provide an outline of my account of models as ontologically and pragmatically constrained representations. And I emphasize the importance of examining models as functionally composed systems in which different components play different roles and only some components serve as relevant truth bearers. This disputes the standard approach that (...) proceeds by simply counting true and false elements in models in their entirety and concludes that models are false since they contain so many false elements. I call my alternative the functional decomposition approach. (shrink)

Much has been said about the need for improving the current definitions of scientific authorship, but an aspect that is often overlooked is how to formulate and communicate these definitions to ensure that they are comprehensible and useful for researchers, notably researchers active in international research consortia. In light of a rapid increase in international collaborations within natural sciences, this article uses authorship of this branch of sciences as an example and provides suggestions to improve the comprehensibility of the definitions (...) of authorship in natural sciences. It assesses whether the definition of authorship provided by the European Code of Conduct for Research Integrity can deal with current issues and problems of scientific authorship. Notably, problems that are experienced in project groups with researchers coming from multiple countries. Using theories developed by Jürgen Habermas and Robert Merton, a normative framework is developed to articulate ethical authorship in natural sciences. Accordingly, enriching the current definition of authorship with normative elements and using discipline-specific metaphors to communicate them are introduced as possible ways of improving the comprehensibility of the definition of authorship in international environments. Finally, this article provides a proposal to be considered in the future revisions of the European Code of Conduct for Research Integrity. (shrink)

Funding policies for science are usually directed at supporting technological innovations. The im-pact and success of such policies depend crucially on how science and technology are connected to each other. I propose an “interactive view” of the relationship between basic science and technol-ogy development which comprises the following four claims: First, technological change derives from science but only in part. The local models used in accounting for technologically relevant phenomena contain theoretical and non-theoretical elements alike. Second, existing technologies and rules (...) of experience constitute another major repository of technological inventions. Third, technology dynamics is only weakly coupled to progress in basic science but it is closely related to science. There is a dependence of technological change on a more fundamental understanding, to be sure, but it is of an indirect and long-term character. Fourth, progress in basic research is some-times the effect of technological change. Technological change sometimes brings about increased theoretical understanding. (shrink)

In order to enlarge the pool of knowledge available in the public domain, temporary exclusive rights are granted to innovators who are willing to fully disclose the information needed to reproduce their invention. After the 20-year patent protection period elapses, society should be able to make free use of the publicly available knowledge described in the patent document, which is deemed useful. Resistance to pesticides destroys however the usefulness of information listed in patent documents over time. The invention, here pesticides, (...) will have a decreased effectiveness once it enters the public domain. In some cases pesticides lose most of their efficacy shortly after temporary exclusive rights expire. Society’s share of the patent bargain—having new useful knowledge available in the public domain—is lost. Resistance can be slowed down, if pesticide use is limited by optimal compliance. Stimulating proper use is generally not compatible with existing market incentives for patent holders, since these have to be able to maximize profits in order to recoup research and development costs and satisfy obligations to the company’s stakeholders. Another incentive system is needed to ensure longevity of pesticides, which at the same time does not hamper future research. (shrink)

'Structural realism' is a buzzword in the scientific realism debate. Various positions with diverse motivations fall under this label. A much advertised distinction is between epistemic and ontological forms of structuralism. This paper scrutinizes the alleged dichotomy between these two 'alternatives', and criticises the considerations that have been taken to motivate the ontic variety over the epistemic. I will argue that ontological structural realism is not called for within the traditional realism debate.

Much like the trade and traits of bubbles in financial markets, similar bubbles appear on the science market. When economic bubbles burst, the drop in prices causes the crash of unsustainable investments leading to an investor confidence crisis possibly followed by a financial panic. But when bubbles appear in science, truth and reliability are the first victims. This paper explores how fashions in research funding and research management may turn science into something like a bubble economy.

Interpretation in science has gained little attention in the past because philosophers of science believed that interpretation belongs to the context of discovery or must be associated with meaning. But scientists often speak about interpretation when they report their findings. Elsewhere I have argue in favour of a pragmatic-rhetorical theory of explanation, and it is in light of this theory that I suggest we can understand interpretation in the natural sciences.

Statistical inference is often justified by long-run properties of the sampling distributions, such as the repeated sampling rationale. These are frequentist justifications of statistical inference. I argue, in line with existing philosophical literature, but against a widespread image in empirical science, that these justifications are flawed. Then I propose a novel interpretation of probability in statistics, the artefactual interpretation. I believe that this interpretation is able to bridge the gap between statistical probability calculations and rational decisions on the basis of (...) observed data. The artefactual interpretation is able to justify statistical inference without making any assumptions about probability in the material world. (shrink)

The exposure of scientific scandals and the increase of dubious research practices have generated a stream of studies on Questionable Research Practices (QRPs), such as failure to acknowledge co-authors, selective presentation of findings, or removal of data not supporting desired outcomes. In contrast to high-profile fraud cases, QRPs can be investigated using quantitative, survey-based methods. However, several design issues remain to be solved. This paper starts with a review of four problems in the QRP research: the problem of precision and (...) prevalence, the problem of social desirability bias, the problem of incomplete coverage, and the problem of controversiality, sensitivity and missing responses. Various ways to handle these problems are discussed based on a case study of the design of a large, cross-field QRP survey in the social and medical sciences in Sweden. The paper describes the key steps in the design process, including technical and cognitive testing and repeated test versions to arrive at reliable survey items on the prevalence of QRPs and hypothesized associated factors in the organizational and normative environments. Partial solutions to the four problems are assessed, unresolved issues are discussed, and tradeoffs that resist simple solutions are articulated. The paper ends with a call for systematic comparisons of survey designs and item quality to build a much-needed cumulative knowledge trajectory in the field of integrity studies. (shrink)

In this paper it is argued that the multiple realizability argument and Kripke's argument are based on schemas of identifications rather than identification. In fact, "heat = molecular motion" includes a term "molecular motion" that does not capture a natural kind, nor has a unique referent. If properly framed, this schema suits also for the type identity theory of mind. Some consequences of this point are evaluated.

Do academics who commercialize their inventions have a different professional character than those who do not? The author conducted a nationwide survey in Hungary including 1,562 academics of hard sciences from 14 universities. According to the cluster analysis based on their participation in research commercialization, university scholars can be divided into three distinct groups: ‘traditional faculty’, ‘market-oriented faculty’, and ‘academic entrepreneurs’. Traditional faculty members typically do not participate in RC, while, within the framework of the university, market-oriented academics are engaged (...) in RC the most frequently. Academic entrepreneurs, in addition to their university positions, work for spin-off firms that commercialize research findings. Multinomial logistic regressions revealed that university scientists in various engineering fields, and especially in chemical technology, as well as in biotechnology and pharmaceutics have a considerably greater potential to engage in RC, similar to scholars with industry work experience, high number of publications, and professorial rank. Discipline, work experience, scientific performance, and academic rank seem to outweigh the effect of the university and its location on RC behavior. These findings underscore the inherent diversity of the academic profession and question the necessity of implementing uniform RC policies such as the Bayh–Dole model across universities, disciplines, and segments of university scientists. (shrink)

In this essay I formulate some reflections around the theme feelings and education.1 I will outline some essential features of the research and will argue that a historical approach to the subject will contribute by adding nuance to and complementing the often one-sided and misleading discussions that have marked the debate both within and outside of academia. In a subsequent part of the text I will concretise my reasoning by discussing one specific phenomenon from the past. I have chosen the (...) example of love and will discuss the function it serves in higher education. The focus of the discussion will alternate between the Swedish context and international perspectives. (shrink)

situation in the sciences of man and show it to be fallacious. On the view to be 6 rejected, the sciences of man are undergoing the first serious attempt in history to 7 thoroughly naturalize their subject matter and thus to put an end to their separate sta- 8 tus. Progress has (on this view) been quite considerable in the disciplines in charge 9 of the individual, while in the social sciences the outcome of the process is moot: 10 the (...) naturalistic social sciences are still in their infancy, and whether they will even- 11 tually engulf or at least profoundly transform the field of social science is unclear. 12 The dichotomous conception pits two camps against one another. On the one hand, 13.. (shrink)

Graphical models are a powerful tool for causal model specification. Besides allowing for a hierarchical representation of variable interactions, they do not require any a priori specification of the functional dependence between variables. The construction of such graphs hence often relies on the mere testing of whether or not model variables are marginally or conditionally independent. The identification of causal relationships then solely requires some general assumptions on the relation between stochastic and causal independence, such as the Causal Markov Condition (...) and the Faithfulness Condition (Spirtes et al. 2000; Pearl 2000). However, a procedure would require further assumptions to hold. Namely those the independence tests themselves are based on. In continuous settings, Spirtes et al. (2000) suggest causal inference based on a very restrictive formulation of independence, that is, vanishing partial correlations. Such a measure does, however, limit the applicability of causal inference to linear systems. This constitutes a serious drawback especially for the social sciences where an a priori specification of the functional form proves difficult or at odds with linearity. In short: graphical models theoretically reduce specification uncertainty regarding functional dependence, but their implementation in practice deprives them of this virtue. In this paper we investigate how causal structures in continuous settings can be identified when both functional forms and probability distributions of the variables remain unspecified. We focus on tests exploiting the fact that if X and Y are conditionally independent given a set of variables Z, the two conditional densities f (X|Y, Z) and f (X|Z) must coincide. We start by estimating the conditional densities f(X|Y, Z) and f(X|Z) via nonparametric techniques (kernel methods). We proceed by testing if some metric expressing the distance between these very conditional densities is sufficiently close to zero. Out of several metrics available in the literature to express such distance we choose two, the Euclidean, and the Hellinger distance. We investigate in a Monte Carlo study how different tests involving either measure are able to detect statistical independence, conditioned on a small set of variables. One limitation may result from nonparametric density estimation being subject to the curse of dimensionality. As the number of variables increases, the estimated empirical density converges at a slower rate to its population value. To compensate this drawback we use a local bootstrap procedure which consists of resampling the data for each test. While local bootstrap strongly increases the computational time of the test, it succeeds in counterbalancing the curse of dimensionality. (shrink)

Using friendship studies from the perspectives of philosophy, psychology, history, classics, political science, sociology, ethology, neuroscience, semiotics and other disciplines, the volume uses the encyclopedic format to construct both a positive ontology (based on empirical evidence) of friendship, as well as discussing friendship's "negative ontology" (i.e., its uncertainties, ambivalences, unknowns, and ineffable aspects), to outline a multidisciplinary comparative approach to different philosophical models of friendship (e.g., ancient Greek, Indian, Roman, modern), and to explore the inner connection between friendship and philosophy (...) (as a way of life and a friendship with wisdom). Among the emergent categories are 1. Issues (e.g., money, mutuality, satisfaction). 2. Models (e.g., the ancient Greek, the Indian, the modern model of friendship). 3. Kinds or types of friendship (e.g., bad friends, noblest friendship, typologies). 4. Incoherence of theoretical typologies (e.g., complexity, ineffability, thisness). 5. Technical terms (e.g., bestowal, friend-shield effect, homophily). 6. Theories, accounts (e.g. Silver’s thesis, Dunbar’s number, mirror account of friendship). 7. Cases of friendships (e.g., Achilles and Patroclus, Murdoch’s friends, famous friends). 8. Philosophers on friendship (e.g., Aristotle, Kant, Weil). 9. Motifs and themes (e.g., gift, pleasure, social media). 10. Concepts (e.g., eros, presentism, tacit knowledge). 11. Proverbs (e.g., Faroese, Jamaican, Swahili proverbs). 12. Friendship studies (e.g., anthropology, history, semiotics of friendship). (shrink)

The legacy of totalitarianism thwarts discourse and practice of academic freedom in post-Soviet universities. For legacy-holders, “academic freedom” causes disorientation, irresponsibility, demoralization and inequity. They see more threats than benefits from empowering decision-makers who are non-compliant with local bureaucracy. For innovators, freedoms enhance flexibility and creativity. However, granting such freedom also reinforces value clashes on campuses and tends to intensify feelings of guilt and shame in regard to actions which show a disrespect of authority and tradition. While both legacy-holders and (...) innovators endeavour to redefine their practices and norms in their teaching, they appear to still struggle to shed their predispositions to a paternalistic and colonial philosophy of education. Presumably curative, their engagement with international networks of scholarship exposes their particular positions of vulnerabilities to that end. Both groups continue to push patriotism and cultural idiosyncrasy in order to hedge their power and status in the global marketplace of ideas. As in the past, a discourse of anti-westernization prevails, shoring up legacies of regulative thinking, indoctrination, and insularity. Progressive academics succeed primarily by taking bold steps to go above and beyond the dominant discourses and norms within their universities and policy-building communities. This article explicates why, in turn, a “surrogate academic freedom” tends to emerge as a conundrum across the post-Soviet higher education space. (shrink)

In this article I examine whether an influential theory of mechanisms proposed by Peter Machamer, Lindley Darden and Carl Craver can accommodate polygenic effects. This theory is both interesting and problematic, I will argue, because it ascribes a central role to activities. In it, activities are needed not only to constitute mechanisms but also to perform their causal role. These putative functions of activities become problematic in certain situations where several causes or elements of a mechanism contribute simultaneously, i.e. with (...) certain forms of polygenic causation. The problematic form of polygeny, polygeny 2, occurs when the polygenic contribution concerns one and the same property or aspect of the affected object. When the result of such causation is that nothing happens, the theory suggested by Machamer and his colleagues cannot be applied. More generally, it seems that, whenever polygeny 2 is involved, the Machamer approach leads to an impoverished conception of mechanism. (shrink)

According to the theory of meaning as justification, semantics is closely entangled with epistemology: knowing the meaning of an utterance amounts to knowing the justification one may offer for it. In this perspective, the theory of meaning is connected with the epistemic theory of justification, namely the theory that undergoes the more explicit attempts of naturalization. Is it possible to extend those attempts to the notion of meaning? There are many ways of naturalizing the notion of meaning, independently of its (...) links with the notion of justification. Our goal in this paper is to explore the possibility of naturalizing meaning using those very links. To this aim, we will evaluate in brief three main directions: a) the interaction between justification and discovery; b) Quine's naturalized epistemology; c) the naturalization of logic. (shrink)