Sociology of Science

In this article I take a critical look at the origins and sources of Bruno Latour's pluralism as it is expressed in his book AN INQUIRY INTO MODES OF EXISTENCE, and compare it to other similar projects (Wittgenstein, Feyerabend, Badiou). I consider the accusations of reductionism and of relativism, and demonstrate that Latour's «empirical metaphysics» is not an ontological reductionism but a pluralist ontology recognising the existence of a plurality of entities and of types of entities. Nor is it an (...) epistemological relativism but an ontological pluralism affirming the existence of a plurality of types of existence. These two strands, pluralist ontology and ontological pluralism, mutually reinforce each other to produce at least the outlines of a robust pluralist realism. (shrink)

WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated (...) from Wikipedia™. This paper will introduce the advantages of WikiSilo for use in the Cognitive Sciences. (shrink)

This paper constitutes a radical departure from the existing philosophical literature on models, modeling-practices, and model-based science. I argue that the various entities and practices called 'models' and 'modeling-practices' are too diverse, too context-sensitive, and serve too many scientific purposes and roles, as to allow for a general philosophical analysis. From this recognition an alternative view emerges that I shall dub model anarchism.

Trust in the scientific enterprise — in science as an institution — is arguably important to individuals’ and societies’ well-being. Although some measures of public trust in science exist, the recipients of that trust are often ambiguous between trusting individual scientists and the scientific community at large. We argue that more precision would be beneficial — specifically, targeting public trust of the scientific community at large — and describe the development and validation of such an instrument: the Scientific Community Trust (...) Index (SCTI). We show the results of initial field testing to establish instrument reliability and validity. We then demonstrate certain advantages of the SCTI against other measures of trust and deference, and present correlations between the SCTI and participant scores in two trust-in-science scenarios. Our results suggest that the SCTI is a useful and compact tool for measuring public trust in the scientific community. (shrink)

Philosophers of science and meta-scientists alike now typically model scientists’ behavior as driven by credit maximization. In this paper I argue that this modeling assumption cannot account for how scientists have a default level of trust in each other’s assertions. The normative implication of this is that science policy should not only focus on incentive reform.

Rival causal and interpretive approaches to explaining social phenomena have important ethical differences. While human actions can be explained as a result of causal mechanisms, as a meaningful choice based on reasons, or as some combination of the two, it is morally important that social scientists respect others by recognizing them as persons. Interpretive explanations directly respect their subjects in this way, while purely causal explanations do not. Yet although causal explanations are not themselves expressions of respect, they can be (...) used in respectful ways if they are incorporated into subjects’ self-directed projects. This can occur when subjects correctly understand and freely adopt researchers’ goals through a process of informed consent. It can also occur when researchers correctly understand and adopt their subject’s goals, using their research to empower those they study. (shrink)

This is a review of The Turing Guide (2017), written by Jack Copeland, Jonathan Bowen, Mark Sprevak, Robin Wilson, and others. The review includes a new sociological approach to the problem of computability in physics.

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even when they (...) negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such a risk arises when scientific claims cause cognitive or behavioral changes in the audience that contribute to the self-fulfillment of these claims. Focusing on such effects, I argue that the ethical and epistemic problem that they pose is likely to be much broader than hitherto appreciated. Moreover, it is often due to a psychological phenomenon that has been neglected in the (...) research on science communication, namely that many people tend to conform to descriptive norms, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication can produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such a strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do we need a new (...) account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

Geographic Information Science (GIS) is an interdisciplinary science aiming to detect and visually represent patterns in spatial data. GIS is used by businesses to determine where to open new stores and by conservation biologists to identify field study locations with relatively little anthropogenic influence. Products of GIS include topographic and thematic maps of the Earth’s surface, climate maps, and spatially referenced demographic graphs and charts. In addition to its social, political, and economic importance, GIS is of intrinsic philosophical interest due (...) to its methodological richness and because it is an instructive analogue to other sciences. This chapter works towards a philosophy of GIS and cartography, or PGISC. In particular, it examines practices of classifying geographic space, objects, and relations. By focusing on the use of natural kinds in data modeling and map generalization practices, I show how the making and using of kinds is contextual, fallible, plural, and purposive. (shrink)

Social science is often described as a product of 19th century Europe, and as a handmaiden to its imperial and colonial projects. However, centuries prior to the Western social science enterprise, Islamic imperial scholars developed their own ‘science of society.’ This essay provides an overview of the historical and cultural milieu in which 'Islamic' social science was born, and then charts its development over time through case studies of four seminal scholars -- al-Razi, al-Farabi, al-Biruni and Ibn Khaldun -- who (...) played pivotal roles in establishing fields that could be roughly translated as psychology, political science, anthropology and sociology. The axioms undergirding Islamic social science are subsequently explored, with particular emphasis paid to the relations between said axioms and the discursive tradition, 'Islam.' The essay concludes with an exploration of how looking to social science enterprises beyond the ‘modern’ West can clarify the purported relationships between social science and empire. (shrink)

We distinguish between two different strategies in methodology of economics. The big picture strategy, dominant in the twentieth century, ascribed to economics a unified method and evaluated this m...

Thanks to advances in astronomical measurement and computer modeling, “now we know thousands of worlds” (Deacon 2020, 7). By contrast, “in 1990 all we could say was that one star, the Sun, out of hundreds of billions, definitely hosted planets” (ibid., 18). The word “definitely” does a lot of work here. Knowledge does not require, and indeed rarely attains, certainty, so we might rephrase the foregoing as “in 1990 all we could say with sufficient assurance was that one star, the (...) Sun, out of hundreds of billions, hosted planets”. Yet, long before recent breakthroughs, many suspected that other planets orbited other stars... (shrink)

The scientificity of the research should be evaluated according to the methodology used in the study. However, these are usually the research areas or the institutions that are classified as scientific or non-scientific. Because of various reasons, it may turn out that the scientific institutions are not producing science, while the “non-scientists” are doing real science. In the extreme case, the official science system is entirely corrupt, consisting of fraudsters, while the real scientists have been expelled from academic institutions. Since (...) 2016-2017, there has been much talk about the “post-truth era” and the politicians who are “denying science”. However, simultaneously, many complaints about the corruption of science appeared. The outsider cannot tell who is telling the truth as it may be the case that the science fraudsters are defending themselves and these politicians are aware of the corruption. It is also untrue that the censoring or suppression of science started from 2016-2017. Suppression of science because of political and ideological reasons was present already long ago, and during the last few years, it has been increasing. The picture is highly complicated as there are many pretenders, false accusations, etc. For example, because of political reasons, someone may be set up as a pseudoscientist, the real scientist may be expelled using political accusations, justified criticism may be labelled as political pressure, etc. There is something like an inner information war ongoing in and around science. The classical philosophy of science seems unable to handle it because every formal rule can be misapplied. Science, as a whole, may be unable to persist. (shrink)

Prepublication peer review should be abolished. We consider the effects that such a change will have on the social structure of science, paying particular attention to the changed incentive structure and the likely effects on the behaviour of individual scientists. We evaluate these changes from the perspective of epistemic consequentialism. We find that where the effects of abolishing prepublication peer review can be evaluated with a reasonable level of confidence based on presently available evidence, they are either positive or neutral. (...) We conclude that on present evidence abolishing peer review weakly dominates the status quo. (shrink)

William S. Lewis examines the contribution to philosophy of science made by Lefebvre, in the context of his membership of the French Communist Party.

Ian Hacking’s Representing and Intervening is often credited as being one of the first works to focus on the role of experimentation in philosophy of science, catalyzing a movement which is sometimes called the “philosophy of experiment” or “new experimentalism”. In the 1980s, a number of other movements and scholars also began focusing on the role of experimentation and instruments in science. Philosophical study of experimentation has thus seemed to be an invention of the 1980s whose central figure is Hacking. (...) This article aims to assess this historical claim, made by Hacking himself as well as others. It does so first by highlighting how a broader perspective on the history of philosophy reveals this invention narrative to be incorrect, since experimentation was a topic of interest for earlier philosophers. Secondly, the article evaluates a revision of this historical claim also made by some philosophers of experiment: the rediscovery narrative, which frames Hacking and others as having rediscovered the work of these earlier authors. This second narratives faces problems as well. Therefore we develop a third narrative which we call the contextualist narrative. Rather than considering experimentation in an essentialist manner as a fixed research object that is either present or not in the work of specific authors, experimentation should be addressed through a narrative that asks in what way it becomes a philosophical problem for certain authors and for what purpose. Such contextualization enables a repositioning of Hacking’s philosophy of experiment in relation to the specific debates in which he intervened, such as the realism-antirealism debate, the Science Wars and the debate on incommensurability. (shrink)

Ian Hacking instigated a revolution in 20th century philosophy of science by putting experiments (“interventions”) at the top of a philosophical agenda that historically had focused nearly exclusively on representations (“theories”). In this paper, I focus on a set of conceptual tools Hacking (1992) put forward to understand how laboratory sciences become stable and to explain what such stability meant for the prospects of unity of science and kind discovery in experimental science. I first use Hacking’s tools to understand sources (...) of instability and disunity in rodent behavioral neuroscience. I then use them to understand recent grass-roots collaborative open science initiatives aimed at establishing stability in this research area and tease out some implications for unity of science and kind creation and discovery in cognitive neuroscience. -/- . (shrink)

A pesar de que Bruno Latour es considerado iniciador de un área académica denominada estudios de la ciencia, no se ha destacado lo suficiente que sus textos constituyen fundamentalmente una teoría metafísica cuya tesis central –mantenida a lo largo de la mayor parte de su obra- es que no hay una diferencia real entre “palabra y mundo”, entre un enunciado que se refiere a un hecho y ese mismo hecho, sino una serie de relaciones o “redes” (que denomina “fluido”, “la (...) masa de las transformaciones” o “referencia circulante”) donde ocurren estabilizaciones transitorias. En tanto niega que entidades y estados de cosas efectivos existan independientemente, ya no de que una conciencia piense en ellos, sino de las afirmaciones que hay en la cultura sobre su existencia, este enfoque es una variante, de carácter semántico y social, de lo que la filosofía moderna denominó idealismo metafísico. Pero tanto el problema metafísico de la existencia como el de la existencia independientemente de algo se enfrentan con la dificultad semántica de que ningún argumento descriptivo puede dejar de aludir a sus referentes, por lo que ninguno puede probar que exista algo independientemente del lenguaje, sino sólo suponerlo al adoptar una ontología. (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 concluding chapter of _Techno-Fixers: Origins and Implications of Technological Faith_ examines the widespread overconfidence in present-day and proposed 'technological fixes', and provides guidelines - social, ethical and technical - for soberly assessing candidate technological solutions for societal problems.

This chapter explores properties that bind individuals, knowledge, and communities, together. Section ‎‎1 introduces Hardwig’s argument from trust in others’ testimonies as entailing that trust is the glue ‎that binds individuals into communities. Section 2 asks “what grounds trust?” by exploring assessment ‎of collaborators’ explanatory responsiveness, formal indicators such as affiliation and credibility, ‎appreciation of peers’ tacit knowledge, game-theoretical considerations, and the role moral character ‎of peers, social biases, and social values play in grounding trust. Section 3 deals with establishing (...) ‎reliability standards for formation and breaching of trust. Different epistemic considerations and their ‎underpinning of inductive risks are examined through various communication routes within a ‎discipline, between disciplines, and to the public. Section 4 examines whether a collective entity can ‎be trusted over and above trust that is given to its individual members. Section 5 deals with the roles ‎technological artifacts play in distributed research and collective knowledge. It presents the common ‎view in which genuine trust cannot, in principle, be accorded to artifacts, so as an opposite view. We ‎show that what counts as a genuine object of trust is relevant to debates about the boundaries of ‎collective agency and as a criterion for extended cognitive systems.‎. (shrink)

In the last decades, many changes have occurred in scientific publishing, including online publication, data repositories, file formats and standards. The role played by computers in this process rekindled the argument on forms of technical determinism. This paper addresses this old debate by exploring the case of publishing processes in prehistoric archaeology during the second part of the twentieth century, prior to the wide-scale adoption of computers. It investigates the case of a collective and international attempt to standardize the typological (...) analysis of prehistoric lithic objects, coined typologie analytique by Georges Laplace and developed by a group of French, Italian, and Spanish researchers. The aim of this paper is to: 1) present a general bibliometric scenario of prehistoric archaeology publishing in continental Europe; 2) report on the little-known typologie analytique method in archaeology, using publications, archives, and interviews; 3) show how the publication of scientific production was shaped by social (editorial policies, support networks) and material (typography features and publication formats) constraints; and 4) highlight how actors founded resources to control and counterbalance these effects, namely by changing and improving publishing formats. (shrink)

To believe that every single scientist ought to be individually engaged in ethical thinking in order for science to be responsible at a collective level may be too demanding, if not plainly unrealistic. In fact, ethical labor is typically distributed across different kinds of scientists within the scientific community. Based on the empirical data collected within the Horizon 2020 ‘RRI-Practice’ project, we propose a classification of the members of the scientific community depending on their engagement in this collective activity. Our (...) classification offers, on the one hand, a model of how the ethical aspects of science are taken into consideration by scientists and, on the other, some indications on how to institutionalize ethics in science. (shrink)

La vida en el laboratorio. La construcción social de los hechos científicos (Latour y Woolgar, 1979) sostiene que los hechos y las entidades cuya existencia ha sido establecida por la ciencia no son descubrimientos sino “construcciones sociales” llevadas a cabo por los científicos mediante “versiones” o “explicaciones ordenadas” al establecer acuerdos (“cierres de controversias”). Se sostiene, siguiendo la terminología de la filosofía de la ciencia actual, que este argumento es una forma de antirrealismo científico lingüístico, tesis sustentada también por autores (...) como Richad Rorty, Nelson Goodman, Thomas Kuhn y Ludwik Fleck, que es inconsistente y que confunde niveles de lenguaje, porque al referirse metalingüísticamente a las teorías, “versiones” o descripciones científicas no diferencia entre cosas metafísicamente diferentes: la existencia (o la inexistencia) de una entidad o un hecho, y la creencia compartida o la descripción de la existencia (o la inexistencia) de esa entidad o ese hecho. Ello lo lleva a cometer el error categorial de atribuir características del lenguaje (como la de explicar o la de ser usado) a cosas que no son lingüísticas (como la naturaleza o un hecho). Si bien tanto la versión de Latour y Woolgar como las demás no diferencian entre que un conjunto de personas crean que existe lo que la ciencia afirma y las propias afirmaciones de la ciencia sobre lo que existe, ambas cosas ocurren en la realidad social, por lo que el argumento constructivista –tal como el de Goodman de que una constelación ha sido creada mediante una versión, el de Kuhn de que “los conceptos” “conforman el mundo al que se aplican” o el de que los hechos y las teorías no son categóricamente separables, el de Fleck de que la sífilis no existe independientemente de las representaciones lingüísticas de la medicina o el de Rorty de que el color de la piel de un dinosaurio depende de la descripción científica sobre él, por ejemplo-, en la medida en que niega la existencia independiente de esos hechos y entidades no es más que una forma actual de lo que se llamó idealismo metafísico, en la que no se considera como entidad primitiva las “ideas” o estados de conciencia sino hechos de sociedad humana como las afirmaciones y los significados científicos y las creencias que generan en las personas. (shrink)

In domains like stock brokerage, clinical psychiatry, and long‐term political forecasting, experts generally fail to outperform novices. Empirical researchers agree on why this is: experts must receive direct or environmental learning feedback during training to develop reliable expertise, and these domains are deficient in this type of feedback. A growing number of philosophers resource this consensus view to argue that, given the absence of direct or environmental philosophical feedback, we should not give the philosophical intuitions or theories of expert philosophers (...) greater credence than those of novice philosophers. This article has three objectives. The first is to explore several overlooked issues concerning the strategy of generalizing from empirical studies of non‐philosophical expertise to the epistemic status of philosophical expertise. The second is to explain why empirical research into a causal relationship between direct learning feedback and enhanced expert performance does not provide good grounds for abandoning a default optimism about the epistemic superiority of expert philosophical theories. The third is to sketch a positive characterization of learning feedback that addresses developmental concerns made salient by the empirical literature on expert performance for specifically theory‐driven or “armchair” domains like philosophy. (shrink)

There is a commonly made distinction between two types of scientists: risk-taking, trailblazing mavericks and detail-oriented followers. A number of recent papers have discussed the question what a desirable mixture of mavericks and followers looks like. Answering this question is most useful if a scientific community can be steered toward such a desirable mixture. One attractive route is through credit incentives: manipulating rewards so that reward-seeking scientists are likely to form the desired mixture of their own accord. Here I argue (...) that this idea is less straightforward than it may seem. Interpreting mavericks as scientists who prioritize rewards over speed and risk, I show in a deliberatively simple model that there is a fixed mixture which is not particularly likely to be desirable and which credit incentives cannot alter. I consider a way around this result, but this has some major drawbacks. I conclude that credit incentives are not as promising a way to create a desirable mixture of mavericks and followers as one might have thought. (shrink)

This paper offers a new angle on the common idea that the process of science does not support epistemic diversity. Under minimal assumptions on the nature of journal editing, we prove that editorial procedures, even when impartial in themselves, disadvantage less prominent research programs. This purely statistical bias in article selection further skews existing differences in the success rate and hence attractiveness of research programs, and exacerbates the reputation difference between the programs. After a discussion of the modeling assumptions, the (...) paper ends with a number of recommendations that may help promote scientific diversity through editorial decision making. (shrink)

In response to Anderson and Arzyutov’s paper, I argue that ambiguities in the Russian social-scientific concept of “etnos” reveal its place in what I call a “field style” for thinking and doing science. Tolerance for ambiguity is, I suggest, a methodological strength of the field sciences. I support these reflections by also addressing the etnos concept’s origins in the complex history of Ukrainian nationalism.

The concept of the subject relies on humanist presuppositions. Regardless of whether purported to be decentred and posthumanist, the subject conceived in poststructuralist and philosophical terms remains anthropocentric and anthropomorphic. There is something irrecuperably Cartesian in the poststructuralist idea of the subject. Physicality, both bodily and that of the materiality of the machinic prosthesis, is barred from the constitution of the Self, as the real is barred but also foreclosed to it. The subject, therefore, is yet another philosophical phantasm, which (...) in its material actuality is determined as an instance of the signifying automaton. I argue that the “posthumanist” self, if conceived in Marxian and non-philosophical terms, ought to be viewed as the radical dyad of the signifying automaton and the real. It renders Haraway’s notion of the Cyborg more radical and unravels its inhumanity rather than posthumanity. (shrink)

This article focuses on two developments in nineteenth-century (philosophy of) social science: Moritz Lazarus’s and Heymann Steinthal’s Völkerpsychologie and Georg Simmel’s early sociology of knowledge. The article defends the following theses. First, Lazarus and Steinthal wavered between a “strong” and a “weak” program for Völkerpsychologie. Ingredients for the strong program included methodological neutrality and symmetry; causal explanation of beliefs based on causal laws; a focus on groups, interests, tradition, culture, or materiality; determinism; and a self-referential model of social institutions. Second, (...) elements of the weak program were the blurring of explanatory and normative interests, an emphasis on freedom of the will, and antirelativism and antimaterialism. Third, later research projects keeping the label “Völkerpsychologie” followed the weak program. Fourth, in the 1880s and 1890s, Simmel tried to build on some of the elements of the strong program. Finally, and fifth, part of the explanation for why Simmel did not succeed in his attempt had to do with the social-political situation of German academia around 1900. (shrink)

What is philosophy of science? Numerous manuals, anthologies or essays provide carefully reconstructed vantage points on the discipline that have been gained through expert and piecemeal historical analyses. In this paper, we address the question from a complementary perspective: we target the content of one major journal of the field—Philosophy of Science—and apply unsupervised text-mining methods to its complete corpus, from its start in 1934 until 2015. By running topic-modeling algorithms over the full-text corpus, we identified 126 key research topics (...) that span across 82 years. We also tracked their evolution and fluctuating significance over time in the journal articles. Our results concur with and document known and lesser-known episodes of the philosophy of science, including the rise and fall of logic and language-related topics, the relative stability of a metaphysical and ontological questioning (space and time, causation, natural kinds, realism), the significance of epistemological issues about the nature of scientific knowledge as well as the rise of a recent philosophy of biology and other trends. These analyses exemplify how computational text-mining methods can be used to provide an empirical large-scale and data-driven perspective on the history of philosophy of science that is complementary to other current historical approaches. (shrink)

In this chapter, the focus is on robotics development and its ethical implications, especially on some particular applications or interaction principles. In recent years, such developments have happened very quickly, based on the advances achieved in the last few decades in industrial robotics. The technological developments in manufacturing, with the implementation of Industry 4.0 strategies in most industrialized countries, and the dissemination of production strategies into services and health sectors, enabled robotics to develop in a variety of new directions. Policy (...) making and ethical awareness addressed these issues using socio-economic knowledge and also in an effort to solve some of the application problems raised in a range of different circumstances and sectoral environments. (shrink)

The modern concept of ideology was established by the liberal politician and philosopher Destutt de Tracy, with the objective of creating an all-embracing and general science of ideas, which followed the sensualist and empiricist trend initiated by Locke that culminated in the positivism of Comte. Natural selection and immunity are two key concepts in the history of biology that were strongly based on the Malthusian concept of struggle for existence. This concept wrongly assumed that population grew faster than the means (...) of existence. This “natural” law contained implicitly the idea that the poor and least gifted would not survive. This idea led to the progressive development of the concept of natural selection, whose definitive version was given by Darwin. Mechnikov took the concepts of struggle for existence and natural selection and conceived infectious diseases as a struggle between a host and its invader, the so-called phagocytosis theory. This theory created the necessity to possess mechanisms to discriminate between the own and the foreign, and led to the conception of the immune self. These concepts were not developed from ideas coming from perceptions or sensations, but from ideas coming from their values: individual interest, inevitable inequality, property, utility and profit. Values are ideals that constitute an ideological matrix which exerts a numinous activity and influence the development of our future actions. In consequence, science and its practice cannot avoid and ignore the values that drive them and impulse them towards certain directions. (shrink)

Philosophers of science are increasingly arguing for the importance of doing scientifically- and socially-engaged work, suggesting that we need to reduce barriers to extra-disciplinary engagement and broaden our impact. Yet, we currently lack empirical data to inform these discussions, leaving a number of important questions unanswered. How common is it for philosophers of science to engage other communities, and in what ways are they engaging? What barriers are most prevalent when it comes to broadly disseminating one’s work or collaborating with (...) others? To what extent do philosophers of science actually value an engaged approach? Our project addresses this gap in our collective knowledge by providing empirical data regarding the state of philosophy of science today. We report the results of a survey of 299 philosophers of science about their attitudes towards and experiences with engaging those outside the discipline. Our data suggest that a significant majority of philosophers of science think it is important for non-philosophers to read and make use of their work; most are engaging with communities outside the discipline; and many think philosophy of science, as a discipline, has an obligation to ensure it has a broader impact. Interestingly, however, many of these same philosophers believe engaged work is generally undervalued in the discipline. We think these findings call for cautious optimism on the part of those who value engaged work—while there seems to be more interest in engaging other communities than many assume, significant barriers still remain. (shrink)

Contemporary interdisciplinary research is often described as bringing some important changes in the structure and aims of the scientific enterprise. Sometimes, it is even characterized as a sort of Kuhnian scientific revolution. In this paper, the analogy between interdisciplinarity and scientific revolutions will be analysed. It will be suggested that the way in which interdisciplinarity is promoted looks similar to how new paradigms were described and defended in some episodes of revolutionary scientific change. However, contrary to what happens during some (...) scientific revolutions, the rhetoric with which interdisciplinarity is promoted does not seem to be accompanied by a strong agreement about what interdisciplinarity actually is. In the end, contemporary interdisciplinarity could be defined as being in a ‘pre-paradigmatic’ phase, with the very talk promoting interdisciplinarity being a possible obstacle to its maturity. (shrink)

In this chapter we explain what experimental philosophy of science is, how it relates to the philosophy of science, and STS more broadly, and what sorts of contributions is can make to ongoing research in the philosophy of science.

Responsible Research and Innovation (RRI) reflects an innovation paradigm that acknowledges that market innovations do not automatically deliver on socially desirable objectives, and requires a broad governance of knowledge coalitions of governmental bodies as well as industrial and societal actors to address market deficits. Responsible Innovation should be understood as a new paradigm for innovation which requires institutional changes in the research and innovation system and the public governance of the economy. It also requires the institutionalisation of an ethics of (...) co-responsibility as well as the introduction of new standards and certification processes for products. Dr. Dr. phil. von Schomberg will introduce Responsible Innovation against the background of 6 deficits of the (global) research and innovation system. (shrink)

The ocean terrain spanning the globe is vast and complex—far from an immense flat plain of mud. To map these depths accurately and wisely, we must understand how cartographic abstraction and generalization work both in analog cartography and digital GIS. This chapter explores abstraction practices such as selection and exaggeration with respect to mapping the oceans, showing significant continuity in such practices across cartography and contemporary GIS. The role of measurement and abstraction—as well as of political and economic power, and (...) sexual and personal bias—in these sciences is illustrated by the biographies of Marie Tharp and Bruce Heezen, whose mapping of the Mid-Atlantic Ridge precipitated a paradigm shift in geology. (shrink)

Bilime ve bilimsel bilgiye yönelik yaygın görüş, bilimin objektif bir faaliyet olduğudur. Bu görüş bilimsel bilginin elde edilmesinde, bilim insanlarının nesnel bir tavır sergilediğini ve onların sosyal faktörlerden etkilenmediğini varsaymaktadır. Yirminci yüzyılın ikinci çeyreğinde, Viyana Çevresi ve Karl Popper'ın düşünceleri ile bilimde sosyolojik ve psikolojik unsurların keşif bağlamı içerisinde görülebileceği, bilimsel kuramların ve araştırmaların gerekçelendirilmesine yönelik girişimlerin ise yalnızca nesnel, epistemik çalışmalardan oluştuğu ileri sürülmektedir. Keşif bağlamı ve gerekçelendirme bağlamı adı altında yapılan bu ayrıma ilişkin iddialar, Thomas Kuhn'un 1962 yılında (...) yayımlanmış olan 'Bilimsel Devrimlerin Yapısı' adlı kitabında vurguladığı argümanlar ile sekteye uğramaktadır. Kuhn, sosyal ve psikolojik etkenlerin her iki bağlamda da yer aldığını ifade etmekte ve bu sebeple keşif ve gerekçelendirme ayrımına karşı çıkmaktadır. Bu çerçevede makalede, Kuhn'un ulaşmış olduğu sonuçlar Güçlü Program'ın öne sürmüş olduğu argümanlar çerçevesinde desteklenerek ortaya konulmaktadır. -/- ABSTRACT That science is an objective activity is the common view towards science and scientific knowledge. This view assumes that scientists have an objective attitude isolated from social factors in the process of obtaining scientific knowledge. In the second quarter of the twentieth century, the Vienna Circle and Popper argued that sociological and psychological elements can be seen in the context of discovery and that attempts to justify scientific theories and research are merely objective, epistemic studies. The claims regarding this distinction made under the context of discovery and the context of justification are interrupted by the arguments emphasized by Kuhn in his "The Structure of Scientific Revolutions" published in 1962. Kuhn opposes the distinction between discovery and justification by stating that social and psychological factors are present in both contexts. In this respect, Kuhn's conclusions are supported by the arguments put forward by the Strong Programme. (shrink)

Bilimin ne olduğunun tespit edilmesi ve bilimi sözde bilimlerden ya da bilimsel olmayan alanlardan ayırt edecek ölçütün ne olması gerektiğine yönelik tartışma, bilim felsefesinde sınır çizme sorunu olarak ele alınmaktadır. Bu makalede, öncelikle söz konusu soruna yönelik geleneksel yaklaşımlar incelenmiş ve ardından bu yaklaşımların bilimsel toplulukların doğasına ilişkin özellikleri göz ardı ettiği ortaya konmuştur. Daha önce yapılan çalışmalar bilimi daha çok önermeler, ifadeler ya da salt epistemik bir sistem olarak ele almakta ve bilimsel akıl yürütmenin biçimi ile bilimsel kuramların özelliklerine (...) odaklanmaktadır. Bu tespit çerçevesinde, sunulan çalışmada, bilimsel bir disiplinin asgari olarak iki özellik (yapısal ve kanıta dayalı olması) üzerine kurulması gerektiği vurgulanarak, sınır çizme sorununun çözümüne yönelik önerilen alternatif ölçüt bilimin sosyal yönüne dikkat çekmektedir. Bu bakımdan, makalenin asıl ilgisi, sınır çizme sorununu alternatif bir yolla ele alabilmek amacıyla bilimin ve onun uygulayıcılarının sosyal özelliklerine yönelik tespitleri, sözde bilimin uygulayıcıları ile kıyaslayarak aktarmaktır. Makale, bir disiplinin sözde bilim olarak nitelendirilebilmesi için öncelikle o disiplinin bilimsellik iddiasında bulunması, daha sonra bilimsel topluluk tarafından sürdürülen bir araştırma geleneğine kabul edilmemiş ya da bu araştırma geleneği tarafından terk edilmiş olması gerektiği düşüncesi ile sonuçlandırılmıştır. (shrink)

The theory of science that Thomas Kuhn built in the Structure of Scientific Revolutions was considered as a hypothetical framework in this study. Since the publication of the work, many questions have arisen that call for a psychology of science. These questions are moved to another dimension through the knowledge of the decision made within Galileo Affair, which occupies an important place in modern science, fundamentally arising from an epistemic struggle and emerging out of an unscientific base rather than the (...) charge of unholiness. Abandoning the perspective which evaluates these questions within a historical process as a weak side of the Kuhnian theory of science, this study challenges the current approaches with an alternative approach. The epistemic complexity in the Kuhnian theory of science is an imperative complexity caused by human factors. From this perspective, there are potential questions for psychology of science as a field of study based on Kuhnian epistemology and it can be assumed that new problems may appear when the other epistemological questions which assumed as “answered” are reviewed in the scope of this study. The main thesis of this study is that psychology of science is possible as a valid and operationalizable research program based on Kuhnian theory of science. (shrink)

As it became clear that Donald Trump had a real base of political support, even as analysts consistently underestimated his electoral prospects, they grew increasingly fascinated with the question of who was supporting him (and why). However, researchers also tend to hold strong negative opinions about Trump. Consequently, they have approached this research with uncharitable priors about the kind of person who would support him and what they would be motivated by. Research design and data analysis often seem to be (...) oriented towards reinforcing those assumptions. This essay highlights the epistemological consequences of these tendencies through a series of case studies featuring prominent and influential works that purport to explain the role of race and racism in the 2016 U.S. presidential election. It demonstrates that quality control systems, which should catch major errors, seem to be failing in systematic ways as a result of shared priors and commitments between authors, reviewers and editors – which are also held in common with the journalists and scholars citing and amplifying this work – leading to misinformation cascades. Of course, motivated reasoning, confirmation bias, prejudicial study design, and failure to address confounds are not limited to questions about Trump – however they seem to be particularly pronounced in this case due to the relative homogeneity and intensity of scholars’ views about this topic as compared to other social phenomena. “Trump studies,” therefore, provides fertile ground for exploring how social research can go awry – and the consequences of these failures -- particularly with respect to work on contentious and politically-charged topics. (shrink)

The underrepresentation of women, people of color, and especially women of color—and the corresponding overrepresentation of white men—is more pronounced in philosophy than in many of the sciences. I suggest that part of the explanation for this lies in the role played by the idealized rational self, a concept that is relatively influential in philosophy but rarely employed in the sciences. The idealized rational self models the mind as consistent, unified, rationally transcendent, and introspectively transparent. I hypothesize that acceptance of (...) the idealized rational self leads philosophers to underestimate the influence of implicit bias on their own judgments and prevents them from enacting the reforms necessary to minimize the effects of implicit bias on institutional decision-making procedures. I consider recent experiments in social psychology that suggest that an increased sense of one’s own objectivity leads to greater reliance on bias in hiring scenarios, and I hypothesize how these results might be applied to philosophers’ evaluative judgments. I discuss ways that the idealized rational self is susceptible to broader critiques of ideal theory, and I consider some of the ways that the picture functions as a tool of active ignorance and color-evasive racism. (shrink)

This paper addresses the problem of judgment aggregation in science. How should scientists decide which propositions to assert in a collaborative document? We distinguish the question of what to write in a collaborative document from the question of collective belief. We argue that recent objections to the application of the formal literature on judgment aggregation to the problem of judgment aggregation in science apply to the latter, not the former question. The formal literature has introduced various desiderata for an aggregation (...) procedure. Proposition-wise majority voting emerges as a procedure that satisfies all desiderata which represent norms of science. An interesting consequence is that not all collaborating scientists need to endorse every proposition asserted in a collaborative document. (shrink)

This book describes the state of astrobiology in Europe today and its relation to the European society at large. With contributions from authors in more than 20 countries and over 30 scientific institutions worldwide, the document illustrates the societal implications of astrobiology and the positive contribution that astrobiology can make to European society. The book has two main objectives: 1. It recommends the establishment of a European Astrobiology Institute (EAI) as an answer to a series of challenges relating to astrobiology (...) but also European research, education, and society at large. 2. It also acknowledges the societal implications of astrobiology, and thus the role of the social sciences and humanities in optimizing the positive contribution that astrobiology can make to the lives of the people of Europe and the challenges they face. (shrink)

The relationship between archaeology and other sciences has only recently become a research topic for sociologists and historians of science. From the 1950s to the present day, different approaches have been taken and the aims of research studies have changed considerably. Besides methodological textbooks, which aim at advancing archaeological knowledge, historians of archaeology have tackled this question by exploring the development of archaeology as a scientific discipline. More recently, collaborations between archaeologists and other scientists have been examined as a general (...) phenomenon regarding transfers of knowledge and power relationships between specialists, organizations, and scientific tools, where archaeology is considered as a scientific practice. Adopting a sociohistorical perspective, this entry examines the specificity of aims, facts, and procedures shared by archaeologists and other scientists regarding the crucial question of measuring time and computations. (shrink)

It is often suggested that disagreement among scientific experts is a reason not to trust those experts, even about matters on which they are in agreement. In direct opposition to this view, I argue here that the very fact that there is disagreement among experts on a given issue provides a positive reason for non-experts to trust that the experts really are justified in their attitudes towards consensus theories. I show how this line of thought can be spelled out in (...) three distinct frameworks for non-deductive reasoning: namely, Bayesian Confirmation Theory, Inference to the Best Explanation, and Inferential Robustness Analysis. (shrink)