In public communication contexts, such as when a company announces the proposal for an important organizational change, argumentation typically involves multiple audiences, rather than a single and homogenous group, let alone an individual interlocutor. In such cases, an exhaustive and precise characterization of the audience structure is crucial both for the arguer, who needs to design an effective argumentative strategy, and for the external analyst, who aims at reconstructing such a strategic discourse. While the peculiar relevance of multiple audience is (...) often emphasized in the argumentation literature and in rhetorical studies, proposals for modelling multi-audience argumentative situations remain scarce and unsystematic. To address this gap, we propose an analytical framework which integrates three conceptual constructs: Rigotti and Rocci’s notion of communicative activity type, understood as the implementation of an interaction scheme into a piece of institutional reality, named interaction field; the stakeholder concept, originally developed in strategic management and public relations studies to refer to any actor who affects and/or is affected by the organizational actions and who, accordingly, carries an interest in them; the concept of participant role as it emerges from Goffman’s theory of conversation analysis and related linguistic and media studies. From this integration, we derive the notion of text stakeholder for referring to any organizational actor whose interest becomes an argumentative issue which the organizational text must account for in order to effectively achieve its communicative aim. The text stakeholder notion enables a more comprehensive reconstruction and characterization of multiple audience by eliciting the relevant participants staged in a text and identifying, for each of them, the interactional role they have, the peculiar interest they bear and the related argumentative issue they create. Considering as an illustrative case the defense document issued by a corporation against a hostile takeover attempt made by another corporation, we show how this framework can support the analysis of strategic maneuvering by better defining the audience demand and, so, better explaining how real arguers design and adapt their topical and presentational choices. (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)

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)

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)

Bogen and Woodward characterized data as embedded in the context in which they are produced (‘local’) and claims about phenomena as retaining their significance beyond that context (‘nonlocal’). This view does not fit sciences such as biology, which successfully disseminate data via packaging processes that include appropriate labels, vehicles, and human interventions. These processes enhance the evidential scope of data and ensure that claims about phenomena are understood in the same way across research communities. I conclude that the degree of (...) locality of both data and claims about phenomena varies depending on the packaging used to make them travel and on the research setting in which they are used. †To contact the author, please write to: ESRC Centre for Genomics in Society, University of Exeter, Byrne House, St. Germans Road, EX4 4PJ Exeter, United Kingdom; e‐mail: s.leonelli@exeter.ac.uk. (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)

The healing power of just forgiveness, without excusing injustice. Justice is closely related to forgiveness and the extent of the injustice gap experienced depends on how much or how little personal justice a wounded person desires. The experience of forgiveness includes two diverse forms of forgiveness: decisional and emotional forgiveness. Decisional forgiveness is controlling humans’ behavioural intentions, while emotional forgiveness replaces negative, unforgiving emotions with positive, other-orientated emotions. A victim may make a decision to forgive, but never feels emotional peace (...) about the decision to forgive. Both decisional and emotional forgiveness are experienced internally within a wounded person and depends on the social context of the transgression and the response to it. Justice can narrow the injustice gap, but rarely closes it, while forgiveness can heal the pain within the injustice gap. The sense of desired justice is to some degree justifiable, but by granting decisional forgiveness and experiencing emotional forgiveness a wounded person can slow down if not stop ruminating vengeful thoughts. Christians can forgive transgression and wrongdoing because they are responding in gratitude to God’s mercy, loving-kindness and forgiveness through Jesus’ death on the cross. God guides Christian believers through the example of Jesus’s humility to forgive wrongdoing and ultimately grow spiritually when Jesus requires decisional forgiveness and desires emotional forgiveness between victim and offender. Forgiveness is based on God’s forgiveness, while humans tend to both forgive and also pursue justice without excusing injustice. Humans are in their own power incapable of justly forgiving transgression, but God can guide people through the Holy Spirit to just forgiveness. (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)

In Infinity and the Mind, Rudy Rucker leads an excursion to that stretch of the universe he calls the "Mindscape," where he explores infinity in all its forms: potential and actual, mathematical and physical, theological and mundane. Here Rucker acquaints us with Gödel's rotating universe, in which it is theoretically possible to travel into the past, and explains an interpretation of quantum mechanics in which billions of parallel worlds are produced every microsecond. It is in the realm of infinity, (...) he maintains, that mathematics, science, and logic merge with the fantastic. By closely examining the paradoxes that arise from this merging, we can learn a great deal about the human mind, its powers, and its limitations. Using cartoons, puzzles, and quotations to enliven his text, Rucker guides us through such topics as the paradoxes of set theory, the possibilities of physical infinities, and the results of Gödel's incompleteness theorems. His personal encounters with Gödel the mathematician and philosopher provide a rare glimpse at genius and reveal what very few mathematicians have dared to admit: the transcendent implications of Platonic realism. (shrink)

An encyclopedia article on the epistemic or knowledge condition for moral responsibility, written for the SEP.

What does it mean to drive a Cadillac? What does 'cuckoo' suggest about the bird? -- two examples explored in this investigation of the history of language signs and of what philosophers, linguists, and others have had to say about them. Rudi Keller shows how signs emerge, function, and develop in the permanent process of language change. He recombines thoughts and ideas from Plato to the present day to create a new theory of the meaning and evolution of icons and (...) symbols. By assuming no prior knowledge and by developing his argument from first principles, Rudi Keller has written a basic text which includes all the necessary features: easy style, good organization, original scholarship, and historical depth. This is a non-technical book which will interest linguists, philosophers, students of communications and cultural studies, semioticians/semanticists, sociologists, and anthropologists. (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)

This article considers the temporal dimension of data processing and use and the ways in which it affects the production and interpretation of knowledge claims. I start by distinguishing the time at which data collection, dissemination, and analysis occur from the time in which the phenomena for which data serve as evidence operate. Building on the analysis of two examples of data reuse from modeling and experimental practices in biology, I then argue that Dt affects how researchers select and interpret (...) data as evidence and identify and understand phenomena. (shrink)

Ignorance usually excuses from responsibility, unless the person is culpable for the ignorance itself. Since a lot of wrongdoing occurs in ignorance, the question of what makes ignorance culpable is central for a theory of moral responsibility. In this article I examine a prominent answer, which I call the ‘volitionalist tracing account,’ and criticize it on the grounds that it relies on an overly restrictive conception of responsibility‐relevant control. I then propose an alternative, which I call the ‘capacitarian conception of (...) control,’ and on the basis of it I advance an account of culpable ignorance that avoids the skeptical upshots of the volitionalist proposal. If correct, my account establishes three important truths: agents can be directly in control of their ignorance, they can be directly responsible for more than actions and omissions, and their moral obligations extend beyond the performance of intentional actions and omissions. (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)

Arabidopsis is currently the most popular and well-researched model organism in plant biology. This paper documents this plant's rise to scientific fame by focusing on two interrelated aspects of Arabidopsis research. One is the extent to which the material features of the plant have constrained research directions and enabled scientific achievements. The other is the crucial role played by the international community of Arabidopsis researchers in making it possible to grow, distribute and use plant specimen that embody these material features. (...) I argue that at least part of the explosive development of this research community is due to its successful standardisation and to the subsequent use of Arabidopsis specimen as material models of plants. I conclude that model organisms have a double identity as both samples of nature and artifacts representing nature. It is the resulting ambivalence in their representational value that makes them attractive research tools for biologists. (shrink)

The use of big data to investigate the spread of infectious diseases or the impact of the built environment on human wellbeing goes beyond the realm of traditional approaches to epidemiology, and includes a large variety of data objects produced by research communities with different methods and goals. This paper addresses the conditions under which researchers link, search and interpret such diverse data by focusing on “data mash-ups”—that is the linking of data from epidemiology, biomedicine, climate and environmental science, which (...) is typically achieved by holding one or more basic parameters, such as geolocation, as invariant. We argue that this strategy works best when epidemiologists interpret localisation procedures through an idiographic perspective that recognises their context-dependence and supports a critical evaluation of the epistemic value of geolocation data whenever they are used for new research purposes. Approaching invariants as strategic constructs can foster data linkage and re-use, and support carefully-targeted predictions in ways that can meaningfully inform public health. At the same time, it explicitly signals the limitations in the scope and applicability of the original datasets incorporated into big data collections, and thus the situated nature of data linkage exercises and their predictive power. (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)

Scientific classification has long been recognized as involving a specific style of reasoning and doing research, and as occasionally affecting the development of scientific theories. However, the role played by classificatory activities in generating theories has not been closely investigated within the philosophy of science. I argue that classificatory systems can themselves become a form of theory, which I call classificatory theory, when they come to formalize and express the scientific significance of the elements being classified. This is particularly evident (...) in some of the classification practices used in contemporary experimental biology, such as bio-ontologies used to classify genomic data and typologies used to classify “normal” stages of development in developmental biology. In this paper, I explore some characteristics of classificatory theories and ways in which they differ from other types of scientific theories and other components of scientific epistemology, such as models and background assumptions. (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)

This article builds upon earlier research in which the authors presented case studies focused on the design and development of two original ethical learning video games. Through this case study and a review of relevant literature, the authors explored the content creation of, and theoretical rationale for, the design and development of ethics games. Both games were geared toward an undergraduate student audience as casual learning games to be completed in a few hours of gameplay. To update and expand this (...) original work, the authors reviewed contemporary research on identity, cognition, and self in relation to video game environments as well as literature dealing more specifically with ethics and video games. From this literature base and their applied design experiences, the authors offer ten guidelines as best practices to follow for aspiring ethics game developers. (shrink)

How effectively communities of scientists come together and co-operate is crucial both to the quality of research outputs and to the extent to which such outputs integrate insights, data and methods from a variety of fields, laboratories and locations around the globe. This essay focuses on the ensemble of material and social conditions that makes it possible for a short-term collaboration, set up to accomplish a specific task, to give rise to relatively stable communities of researchers. We refer to these (...) distinctive features as repertoires, and investigate their development and implementation across three examples of collaborative research in the life sciences. We conclude that whether a particular project ends up fostering the emergence of a resilient research community is partly determined by the degree of attention and care devoted by researchers to material and social elements beyond the specific research questions under consideration. (shrink)

In this paper I sketch a socially situated account of responsible agency, the main tenet of which is that the powers that constitute responsible agency are themselves socially constituted. I explain in detail the constitution relation between responsibility-relevant powers and social context and provide detailed examples of how it is realized by focusing on what I call ‘expectations-generating social factors’ such as social practices, cultural scripts, social roles, socially available self-conceptions, and political and legal institutions. I then bring my account (...) to bear on the debate about the exculpatory potential of moral ignorance. I show that a prominent position in this debate – the position that denies that moral ignorance exculpates – is grounded on an individualistic and acontextualist conception of moral capacities, moral cognition, and blameworthiness, and that this conception leads those philosophers who endorse it to make a number of questionable claims regarding the ability of ordinary agents to overcome their moral ignorance and the culpability they bear for the latter. I conclude by indicating how my socially situated account addresses the issue of moral ignorance. (shrink)

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)

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)

Anders, Rudi Mathematics is objective and unambiguous, but as soon as mathematics is applied to anything in the human world, human values complicate the issues. Two apples for two people equals one apple for each person, but compassion for a starving person, or other human values, can alter the outcome.

Anders, Rudi Sometimes it is nice to do something totally unconnected to the usual bustle of life, such as a walk in the park. This time I visit a German Lutheran church in Melbourne; I have never entered it before. The exterior and interior consistently retain the traditional design. The bluestone gives it a sense of permanence - timelessness. I rarely like modern churches; mixing modern and traditional never works for me. This church is not large and has an intimate (...) feel to it. The people are all smiles. I like people, regardless of their beliefs. Family groups look like they feel at home, and visitors like me are made welcome. I sit and admire the skill of the craftsmen who attended to every detail in the church. They didn't have the modern machines we take for granted. (shrink)

This article proposes a more culturalist and variegated conception of the individual than that presented by individualization theorists. Inspired by the approach of the individual advocated by Émile Durkheim, Talcott Parsons and John Meyers, it first outlines the general script of the individual-as-actor that informs modern individualism as well as the generic characteristics that are routinely attributed to persons such as agency and free will. It subsequently reconstructs three predominant interpretations of this general script, i.e. utilitarian, moral and expressive individualism. (...) For each variant, the intellectual genesis and overall definition of the institutionalization in specific societal domains and the dominant articulations in social theory are briefly presented. With this threefold distinction, the aim is to synthesize the extensive literature on individualism and to show the sociological strengths of approaching subjectivity in terms of institutionalized scripts. (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)

Many philosophers think that a necessary condition on moral blameworthiness is that the wrongdoer can reasonably be expected to avoid the action for which she is blamed. Those who think so assume as a matter of course that the expectations at issue here are normative expectations that contrast with the non-normative or predictive expectations we form concerning the probable conduct of others, and they believe, or at least assume, that there is a clear-cut distinction between the two. In this paper (...) I put this widespread assumption under scrutiny and argue that it’s mistaken: although predictive and normative expectations are indeed distinct, there is no sharp separation between them. On the contrary, predictive expectations can have a substantial bearing on normative expectations in two related ways: they can recalibrate what is reasonable to expect of agents when responsibility attributions are at stake and they can help to uncover previously undetected excusing conditions. I illustrate my claims with the famous bystander effect from social psychology and show that it yields predictive expectations that affect normative expectations in these two ways. (shrink)

This chapter provides a framing for this volume by reviewing the significance and the organisational, technical and social opportunities and challenges related to plant data linkage. We review what “responsible practice” means in relation to the plant environments being documented, the infrastructures used to circulate data, the institutions involved in data governance and the communities involved in plant data work. We show how, across these domains, responsible plant data linkage involves consideration of technical, legal, ethical and conceptual dimensions, thereby: (1) (...) creating and maintaining digital infrastructures, technical standards and discussion venues focused on critical data reuse; (2) developing adequate legal and institutional frameworks that work transnationally; (3) identifying and implementing guidelines for what constitutes acceptable data use, together with systems to monitor and allocate responsibility for breaches and mistakes; and (4) considering the variety of views on what constitutes agricultural development in the first place and how plant research can sustainably, reliably and responsibly contribute to achieving food security. The production of sustainable, responsible and reliable agricultural solutions in the face of climatic and political change depends on the flourishing of transnational, interdisciplinary collaborations such as those represented in this volume. (shrink)

Metaphysics in discussion : the medieval context -- The degrees of abstraction and the metaphysical Separatio -- From physics to metaphysics : the way of Resolutio -- The transcendental focus of metaphysics -- The place of analogy in metaphysics -- From experience to transcendence -- The double challenge to metaphysics in the present-day world.

The collection and dissemination of data on human and nonhuman organisms has become a central feature of 21st-century biology and has been endorsed by funding agencies in the United States and Europe as crucial to translating biological research into therapeutic and agricultural innovation. Large molecular data sets, often referred to as “big data,” are increasingly incorporated into digital databases, many of which are freely accessible online. These data have come to be seen as resources that play a key role in (...) mediating global market exchange, thus achieving a prominent social and economic status well beyond science itself. At the same time, calls to make all such data publicly and freely available have garnered strength and visibility, most prominently in the form of the Open Data movement. I discuss these developments by considering the conditions under which data journey across the communities and institutions implicated in globalized biology and biomedicine, and what this indicates about how Internet-based communication and the use of online databases affect scientific research and its role within contemporary society. (shrink)

My title echoes Levinas' 1951 “Is ontology fundamental?” – a seminal piece that paved the way for his justly famous Totality and Infinity and Otherwise than Being. I suggest that the characteristically enthusiastic, uncritical reception of these works may not be due primarily to their originality and sheer intellectual brilliance, but rather to something in Levinas' position that deeply resonates with the spirit of our times and our preoccupation with the fate of “the Other.” My claim, however, is that accepting (...) a Levinassian ethics, in which the Other has priority over the self, comes at too high a price, for it implies definitions of otherness and selfhood that fail to address precisely the problems that prompted preoccupation with otherness in the first place. I suggest that our struggles with racism, sexism, cultural bias point to frictions in (inter-)subjectivity that are inappropriately ethicized when treated, ala Levinas, simply as examples of an unwillingness to open up to the Other. In Levinas' universe, it is impossible not to hear the Other's appeal, but I argue that this view ignores the existence of a dimension of selfhood that cannot be absorbed into intersubjectivity. A metaphysical loneliness is thus implied here that our age seems unwilling to bear, preferring to cover it up with an ethics that makes us always responsible – that is, in response, connected to the Other. I develop this criticism by analyzing what I call a non-privative notion of irresponsibility whose roots are neither ethical nor ontological. (shrink)

The interactive nature of the Internet is seen by some as a technological innovation that might boost participation in politics and civic affairs. That potential, however, is clouded by imprecise definitions of interactivity found among scholars and practitioners alike. Evaluation of state legislature Web sites found them to not be very interactive under most definitions of the term. Chief technology officers of the legislatures appear to differ as to which site features promote interactivity. The current state of these sites may (...) do more to encourage civic engagement than to promote interactivity. (shrink)

Anders, Rudi To solve a problem such as wars between nations and civil wars it is necessary to discover what causes the problem.

I examine the question of whether people are sometimes morally blameworthy for what I call ‘slips’: wrongful actions or omissions that a good-willed agent inadvertently performs due to a non-negligent failure to be aware of relevant considerations. I focus in particular on the capacitarian answer to this question, according to which possession of the requisite capacities to be aware of relevant considerations and respond appropriately explains blameworthiness for slips. I argue, however, that capacitarianism fails to show that agents have responsibility (...) level control over their slips and, consequently, fails to show that it is reasonable to expect agents to avoid this kind of wrongdoing. I conclude that people are typically not blameworthy for their slips, but only regarding the backward-looking, desert-entailing type of blame that has been at issue in this debate. I suggest that ordinary intuitions about blameworthiness for slips can be accommodated by appealing to other types of responsibility and blame. (shrink)

Western philosophy has mainly developed in accordance with the three laws of identity, noncontradiction and excluded middle, also known as “laws of thought”. Since Zen Buddhism often violates these apparently indisputable logical principles, a superficial reading may induce the idea that Zen Buddhism is a completely irrational, illogical doctrine. In this essay, I argue that Zen Buddhism is not absurd or illogical. Conversely, it relies on a different logic, which is perfectly consonant with the Buddhist view of the world.