This paper is concerned with monumental art in Slovakia before and after the fall of Communism in 1989. Generally, art in public spaces is important, because it influences the knowledge and feelings the people who use this space have about the past and the present, and thus influences the shared social construction of who we are as a social group. In this article we concentrate on the period of Communism and the formal and iconographic aspects that were essential to art (...) at that time. We also look at the political use of art—the ways in which explicit and implicit meanings and ideas were communicated through art to the general public. We touch also on the present situation regarding the perception of “Communist art”. In the final section we discuss the state of affairs of the last twenty years of chaotic freedom in the post-socialist era. On the one hand, since there is no real cultural politics or conception for artworks in public spaces at the level of the state many artworks simply disappear, often without public discussion, and on the other hand, some actors use their political power to build monuments that promote their private political views. (shrink)

In response to broad transformations brought about by the digitalization, globalization, and commodification of research processes, the Open Science [OS] movement aims to foster the wide dissemination, scrutiny and re-use of research components for the good of science and society. This Element examines the role played by OS principles and practices within contemporary research and how this relates to the epistemology of science. After reviewing some of the concerns that have prompted calls for more openness, I highlight how the interpretation (...) of openness as the sharing of resources, so often encountered in OS initiatives and policies, may have the unwanted effect of constraining epistemic diversity and worsening epistemic injustice, resulting in unreliable and unethical scientific knowledge. By contrast, I propose to frame openness as the effort to establish judicious connections among systems of practice, predicated on a process-oriented view of research as a tool for effective and responsible agency. (shrink)

Sabina Lovibond invites her readers to see how the "practical reason view of ethics" can survive challenges from within philosophy and from the antirationalist postmodern critique of reason. She elaborates and defends a modern practical-reason view of ethics by focusing on virtue or ideal states of character that involve sensitivity to the objective reasons circumstances bring into play. At the heart of her argument is the Aristotelian idea of the formation of character through upbringing; these ancient ideas can be made (...) contemporary if one understands them in a naturalized way. She then explores the implications that arise from the naturalization of the classical view, weaving into her theory ideas of Jacques Derrida and J. L. Austin. The book also discusses two modes of resistance to an existing ethical culture--one committed to the critical employment of shared norms of rationality, the other aspiring to a more radical attitude, grounded in hostility to the "universal." Lovibond tries to determine what may be correct in this second, admittedly paradoxical, tendency. This is a timely and valuable effort to connect the most advanced forms of thinking in the analytic tradition and in the Continental tradition, and to extend our understanding of the intimacies and resistances between these two prominent strands of contemporary philosophy. (shrink)

This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in (...) making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research. (shrink)

Sabina Alkire shows how Nobel Prize-winning economist Amartya Sen's capability approach can be coherently---and practically---put to work in poverty reduction activities so that the voices and values of the poor matter. This provides economists, philosophers, theologians, and development practitioners with a way forward that addresses both theoretical and practical challenges.

Scientific knowledge production is currently affected by the dissemination of data on an unprecedented scale. Technologies for the automated production and sharing of vast amounts of data have changed the way in which data are handled and interpreted in several scientific domains, most notably molecular biology and biomedicine. In these fields, the activity of data gathering has become increasingly technology-driven, with machines such as next generation genome sequencers and mass spectrometers generating billions of data points within hours, and with little (...) need for human supervision. Given the relative ease and low costs with which datasets can be produced (that is, once a laboratory has been able to afford .. (shrink)

What is the best way to analyse abstraction in scientific modelling? I propose to focus on abstracting as an epistemic activity, which is achieved in different ways and for different purposes depending on the actual circumstances of modelling and the features of the models in question. This is in contrast to a more conventional use of the term ‘abstract’ as an attribute of models, which I characterise as black-boxing the ways in which abstraction is performed and to which epistemological advantage. (...) I exemplify my claims through a detailed reconstruction of the practices involved in creating two types of models of the flowering plant Arabidopsisthaliana, currently the best-known model organism in plant biology. This leads me to distinguish between two types of abstraction processes: the ‘material abstracting’ required in the production of Arabidopsis specimens and the ‘intellectual abstracting’ characterising the elaboration of visual models of Arabidopsis genomics. Reflecting on the differences between these types of abstracting helps to pin down the epistemic skills and research commitments used by researchers to produce each model, thus clarifying how models are handled by researchers and with which epistemological implications. (shrink)

An influential strand in philosophy of science claims that scientific paradigms can be understood as relativized a priori frameworks. Here, Kant’s constitutive a priori principles are no longer held to establish conditions of possibility for knowledge which are unchanging and universally true, but are restricted only to a given scientific domain. Yet it is unclear how exactly a relativized a priori can be construed as both stable and dynamical, establishing foundations for current scientific claims while simultaneously making intelligible the transition (...) to a subsequent framework. In this article, I show that important resources for this problem have been overlooked in Kant’s theory of reflective judgement in the third Critique. I argue that Kant accorded the task of formulating new scientific laws to reflective judgement, which is charged with forming new ‘universals’ that guide the experience of nature. I show that this is the very task attributed to the relativized a priori: the constitution of a given conceptual framework, not of the conditions for object-reference as such. I conclude that Kant’s considered conception of science encompasses the operations of both reflective and determining judgement. Relativizations of the a priori should follow Kant’s lead. (shrink)

Community databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the (...) curators of these databases for what counts as reliable evidence, acceptable terminology, appropriate experimental set-ups and adequate materials (e.g., specimens). On the one hand, these choices are informed by the collaborative research ethos characterising most model organism communities. On the other hand, the deployment of these standards in databases reinforces this ethos and gives it concrete and precise instantiations by shaping the skills, practices, values and background knowledge required of the database users. We conclude that the increasing reliance on community databases as vehicles to circulate data is having a major impact on how researchers conduct and communicate their research, which affects how they understand the biology of model organisms and its relation to the biology of other species. (shrink)

This Element presents a philosophical exploration of the concept of the 'model organism' in contemporary biology. Thinking about model organisms enables us to examine how living organisms have been brought into the laboratory and used to gain a better understanding of biology, and to explore the research practices, commitments, and norms underlying this understanding. We contend that model organisms are key components of a distinctive way of doing research. We focus on what makes model organisms an important type of model, (...) and how the use of these models has shaped biological knowledge, including how model organisms represent, how they are used as tools for intervention, and how the representational commitments linked to their use as models affect the research practices associated with them. This title is available as Open Access on Cambridge Core. (shrink)

Is Big Data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of Big Data science does not lie in the sheer quantity of data involved, but rather in the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community and the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments (...) generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this article reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which Big Data needs to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analysing data given these developments, and the opportunities and worries associated with Big Data discourse and methods. (shrink)

This article focuses onsarcasm, for which the definitions have often been loose and confusing, integrating it into the concept ofirony. My approach is based on a large corpus of examples taken from two contemporary television-series, which help identify the wide range of linguistic processes at the core of sarcastic utterances. I present a quantitative and descriptive analysis of the main processes found in two American television-series:House M.D.andThe Big Bang Theory. The results show the intricate meanings created in sarcasm through various (...) linguistic mechanisms, such as repetition, explicitation, metonymy, metaphor, shift of focus, reasoning, and rhetorical questions. This more holistic analysis, including a broad corpus of instances and a more detailed analysis of the examples, aims to fill the unexplored gaps in more classical analyses, emphasizing the complexities and implications that can be drawn in interaction. (shrink)

I propose a framework that explicates and distinguishes the epistemic roles of data and models within empirical inquiry through consideration of their use in scientific practice. After arguing that Suppes’ characterization of data models falls short in this respect, I discuss a case of data processing within exploratory research in plant phenotyping and use it to highlight the difference between practices aimed to make data usable as evidence and practices aimed to use data to represent a specific phenomenon. I then (...) argue that whether a set of objects functions as data or models does not depend on intrinsic differences in their physical properties, level of abstraction or the degree of human intervention involved in generating them, but rather on their distinctive roles towards identifying and characterizing the targets of investigation. The paper thus proposes a characterization of data models that builds on Suppes’ attention to data practices, without however needing to posit a fixed hierarchy of data and models or a highly exclusionary definition of data models as statistical constructs. (shrink)

This paper discusses what it means and what it takes to integrate data in order to acquire new knowledge about biological entities and processes. Maureen O’Malley and Orkun Soyer have pointed to the scientific work involved in data integration as important and distinct from the work required by other forms of integration, such as methodological and explanatory integration, which have been more successful in captivating the attention of philosophers of science. Here I explore what data integration involves in more detail (...) and with a focus on the role of data-sharing tools, like online databases, in facilitating this process; and I point to the philosophical implications of focusing on data as a unit of analysis. I then analyse three cases of data integration in the field of plant science, each of which highlights a different mode of integration: inter-level integration, which involves data documenting different features of the same species, aims to acquire an interdisciplinary understanding of organisms as complex wholes and is exemplified by research on Arabidopsis thaliana; cross-species integration, which involves data acquired on different species, aims to understand plant biology in all its different manifestations and is exemplified by research on Miscanthus giganteus; and translational integration, which involves data acquired from sources within as well as outside academia, aims at the provision of interventions to improve human health and is exemplified by research on Phytophtora ramorum. Recognising the differences between these efforts sheds light on the dynamics and diverse outcomes of data dissemination and integrative research; and the relations between the social and institutional roles of science, the development of data-sharing infrastructures and the production of scientific knowledge. (shrink)

This paper proposes an account of scientific data that makes sense of recent debates on data-driven and ‘big data’ research, while also building on the history of data production and use particularly within biology. In this view, ‘data’ is a relational category applied to research outputs that are taken, at specific moments of inquiry, to provide evidence for knowledge claims of interest to the researchers involved. They do not have truth-value in and of themselves, nor can they be seen as (...) straightforward representations of given phenomena. Rather, they are fungible objects defined by their portability and prospective usefulness as evidence. (shrink)

This paper examines classification practices in the domain of plant data semantics, and particularly methods used to label plant traits to foster the collection, management, linkage and analysis of data about crops across locations—which crucially inform research and interventions on plants and agriculture. The efforts required to share data place in sharp relief the forms of diversity characterizing the systems used to capture the biological and environmental characteristics of plant variants: particularly the biological, cultural, scientific and semantic diversity affecting the (...) identification and description of plant traits, the methods used to generate and process data, and the goals and skills of those with relevant expertise—including farmers and breeders. Through a study of the Crop Ontology (which explicitly recognizes and negotiates diversity) and its application to cassava breeding, I argue for a process-sensitive approach to the naming of plant traits that focuses on documenting environmental processes instead of biological products. I claim that this approach can foster reliable linkage and robust re-use of plant data, while at the same time facilitating dialogue between data scientists, plant researchers, breeders, and other relevant experts in ways that crucially inform agricultural interventions. I conclude that the study of data semantics and related descriptors constitutes a productive and underexplored way to think about the epistemic import of naming traits within plant science. The effort to articulate semantic differences among plant varieties and methods of data processing can generate newly inclusive ways to develop and communicate biological knowledge. In turn, such practices have the potential to defy existing understandings of systematisation and hierarchies of expertise in biology, thus bolstering the extent to which plant science can support biodiversity and sustainable agriculture. (shrink)

A heated debate surrounds the significance of reproducibility as an indicator for research quality and reliability, with many commentators linking a "crisis of reproducibility" to the rise of fraudulent, careless and unreliable practices of knowledge production. Through the analysis of discourse and practices across research fields, I point out that reproducibility is not only interpreted in different ways, but also serves a variety of epistemic functions depending on the research at hand. Given such variation, I argue that the uncritical pursuit (...) of reproducibility as an overarching epistemic value is misleading and potentially damaging to scientific advancement. Requirements for reproducibility, however they are interpreted, are one of many available means to secure reliable research outcomes. Furthermore, there are cases where the focus on enhancing reproducibility turns out not to foster high-quality research. Scientific communities and Open Science advocates should learn from inferential reasoning from irreproducible data, and promote incentives for all researchers to explicitly and publicly discuss their methodological commitments, the ways in which they learn from mistakes and problems in everyday practice, and the strategies they use to choose which research component of any project needs to be preserved in the long term, and how. (shrink)

While increasing attention has been paid in recent years to the relation between Foucault’s conception of critique and Kant’s, much controversy remains over whether Foucault’s most sustained early engagement with Kant, his dissertation on Kant’s Anthropology, should be read as a wholesale rejection of Kant’s views or as the source of Foucault’s late return to ethics and critique. In this paper, I propose a new reading of the dissertation, considering it alongside 1950s-era archival materials of which I advance the first (...) scholarly appraisal. I argue that Foucault manifests a fundamental ambivalence to Kantian anthropology, rejecting it in theoretical terms while embracing its practical (‘pragmatic’) conception of the subject. Furthermore, I take these texts to collectively evidence Foucault’s attempt to situate himself within the anthropological-critical tradition rather than extricating himself from it. If we interpret Foucault to reject this tradition’s appeal to an essentialized, theoretical conception of subjectivity, what remains of anthropology is its inherent practical reflexivity in structure. Thus, I situate Foucault’s conception of ethics as one’s relation to oneself in continuity with this tradition. (shrink)

This multilevel meta-analysis examines whether emotional intelligence can be enhanced through training and identifies training effects’ determinants. We identified 24 studies containing 28 samples aiming at increasing individual-level EI among healthy adults. The results revealed a significant moderate standardized mean change between pre- and post-measurement for the main effect of EI training, and a stable pre- to follow-up effect. Additionally, the type of EI model, dimensions of the four branch model, length, and type of publication turned out to be significant (...) moderators. The results suggest that EI trainings should be considered effective interventions. (shrink)

"Scientific Research in the Era of Big Data" - this book was also published in French (Mimesis) in 2019 and in Portuguese in 2022 (FIOCRUZ editors).

I argue that Open Science as currently conceptualized and implemented does not take sufficient account of epistemic diversity within research. I use three case studies to exemplify how Open Science threatens to privilege some forms of inquiry over others, thus exasperating divides within and across systems of practice, and overlooking important sources and forms of epistemic diversity. Building on insights from pluralist philosophy, I then identify four aspects of diverse research practices that should serve as reference points for debates around (...) Open Science: (1) specificity to local conditions, (2) entrenchment within repertoires, (3) permeability to newcomers, and (4) demarcation strategies. (shrink)

Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that (...) they constitute an example of classificatory theory. This form of theorizing emerges from classification practices in conjunction with experimental know-how and expresses the knowledge underpinning the analysis and interpretation of data disseminated online. (shrink)

An introduction to an interview with Michel Foucault in 1979, which contextualizes his general stance on the Iranian uprising, as well as his conception of philosophical journalism and political spirituality, his rejection of the teleology of history, and his willingness to let historically silenced subjects speak for themselves.

This paper claims that Kant’s conception of culture provides a new means of understanding how the two parts of the Critique of Judgment fit together. Kant claims that culture is both the ‘ultimate purpose’ of nature and to be defined in terms of ‘art in general’ (of which the fine arts are a subtype). In the Critique of Teleological Judgment, culture, as the last empirically cognizable telos of nature, serves as the mediating link between nature and freedom, while in the (...) Critique of Aesthetic Judgment, the connection between art and morality passes through culture. In either case, Kant offers distinct, yet interdependent, arguments for how culture demonstrates the amenability of nature to its supersensible ground: the central question Kant claims in the Introduction that the work seeks to answer. Thus, not only does this account advance a concept essential to both parts of the work; it also demonstrates how the two parts can be conceived as complementary, with each supplementing the other to solve Kant’s central question. As such, understanding the Critique of Judgment in terms of culture enables us to see how the two parts of the work do not merely share points of similarity or common themes, but presuppose one another in order to understand how nature is amenable to freedom. (shrink)

THE PROBLEM OF THE HISTORY OF PHILOSOPHY IN THE 17TH-CENTURY ERUDITE PHILOSOPHY AND CARTESIAN RATIONALISM In the seventeenth century the comprehension of historic time refers to two ordering ideas: the declining idea of renaissance and the increasing cumulation idea. These ideas also affect the comprehension of a role which the history of philosophy is supposed to play in the system of knowledge and its historical development. The seventeenth-century conceptions of the history of philosophy are also influenced by some contemporary ideals (...) of philosophical knowledge. In the article two such ideals are presented—the erudite school and Cartesian rationalism as well as their consequences which deal with understanding of philosophical tasks of the history of philosophy. Keywords: DECLINING IDEA OF RENAISSANCE, INCREASING CUMULATION IDEA, HISTORY OF PHILOSOPHY, ERUDITE SCHOOL, CARTESIAN RATIONALISM. (shrink)

This Editorial introduces the thematic series on 'Toward a New Psychiatry: Philosophical and Ethical Issues in Classification, Diagnosis and Care' http://www.biomedcentral.com/series/newpsychiatry.