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.

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)

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)

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)

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)

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 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)

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 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)

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)

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)

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)

Dispositional mindfulness and emotion regulation are two psychological constructs closely interrelated, and both appear to improve with the long-term practice of mindfulness meditation. These constructs appear to be related to subcortical, prefrontal, and posterior brain areas involved in emotional processing, cognitive control, self-awareness, and mind wandering. However, no studies have yet discerned the neural basis of dispositional mindfulness that are minimally associated with emotion regulation. In the present study, we use a novel brain structural network analysis approach to study the (...) relationship between structural networks and dispositional mindfulness, measured with two different and widely used instruments [Mindfulness Attention Awareness Scale and Five Facet Mindfulness Questionnaire ], taking into account the effect of emotion regulation difficulties. We observed a number of different brain regions associated with the different scales and dimensions. The total score of FFMQ and MAAS overlap with the bilateral parahippocampal and fusiform gyri. Additionally, MAAS scores were related to the bilateral hippocampus and the FFMQ total score to the right insula and bilateral amygdala. These results indicate that, depending on the instrument used, the characteristics measured could differ and could also involve different brain systems. However, it seems that brain areas related to emotional reactivity and semantic processing are generally related to Dispositional or trait mindfulness, regardless of the instrument used. (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)

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)

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)

Open Science policies encourage researchers to disclose a wide range of outputs from their work, thus codifying openness as a specific set of research practices and guidelines that can be interpreted and applied consistently across disciplines and geographical settings. In this paper, we argue that this “one-size-fits-all” view of openness sidesteps key questions about the forms, implications, and goals of openness for research practice. We propose instead to interpret openness as a dynamic and highly situated mode of valuing the research (...) process and its outputs, which encompasses economic as well as scientific, cultural, political, ethical, and social considerations. This interpretation creates a critical space for moving beyond the economic definitions of value embedded in the contemporary biosciences landscape and Open Science policies, and examining the diversity of interests and commitments that affect research practices in the life sciences. To illustrate these claims, we use three case studies that highlight the challenges surrounding decisions about how––and how best––to make things open. These cases, drawn from ethnographic engagement with Open Science debates and semistructured interviews carried out with UK-based biologists and bioinformaticians between 2013 and 2014, show how the enactment of openness reveals judgments about what constitutes a legitimate intellectual contribution, for whom, and with what implications. (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)

Dans le contexte d’une révision de l’élargissement de l’UE aux Balkans, la couverture médiatique du Monténégro, l’un des principaux acteurs de ce processus, dans la presse allemande est devenue plus présente ces dernières années. Cette recherche a pour but d’explorer les représentations du Monténégro dans quatre journaux allemands de premier plan. La contribution propose une approche d’analyse de données textuelles appliquée à un corpus composé d’articles consacrés au Monténégro entre 2016 et 2023. Grâce à des méthodes statistiques de texte telles (...) que le z-score et les calculs de cooccurrences, l’article explore l’interaction complexe des facteurs sociopolitiques, historiques et internationaux qui influencent l’image du pays dans la presse allemande. Les résultats révèlent des variations significatives dans les perspectives et les niveaux de représentation entre les journaux, ce qui est révélateur de leur position idéologique. Malgré sa taille géographique relativement modeste, le Monténégro suscite un niveau d’attention modéré dans ces journaux allemands, comme le montrent les marqueurs linguistiques identifiés par l’analyse statistique. En tant qu’étude pionnière, cet article contribue à une meilleure compréhension de la manière dont l’image et la perception de pays comme le Monténégro sont façonnées dans les contextes de la presse étrangère. (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)

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)

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)

Risky decision-making is highly influenced by emotions and can lead to fatal consequences. Attempts to reduce risk-taking include the use of mindfulness-based interventions, which have shown promising results for both emotion regulation and risk-taking. However, it is still unclear whether improved emotion regulation is the mechanism responsible for reduced risk-taking. In the present study, we explore the effect of a 5-week MBI on risky driving in a group of repeat traffic offenders by comparing them with non-repeat offenders and repeat offenders (...) without training. We evaluated the driving behavior of the participants through a driving simulation, and self-reported emotion regulation, both before and after the intervention. At baseline, poor emotion regulation was related to a more unstable driving behavior, and speeding. The group that received mindfulness training showed improved performance during risky driving situations and had fewer accidents, although their overall driving behavior remained largely unchanged. The observed trend toward improved emotion regulation was not significant. We discuss whether other effects of MBI – such as self-regulation of attention – could underlie the observed reduction in risky driving in the initial stages. Nonetheless, our findings still confirm the close relationship between emotion regulation skills and risky driving. (shrink)

Il contributo propone alcune riflessioni maturate nel cantiere di ricerca per l’Atlante linguistico ed etnografico del Piemonte occidentale (ALEPO), lavorando dunque prima alla raccolta, poi all’elaborazione di un corpus di dati complesso e imponente, destinato a un oggetto scientifico peculiare qual è un atlante. Alla luce delle prime pubblicazioni dell’ALEPO è possibile tentare un bilancio delle scelte che hanno guidato la ricerca e iniziare a leggerne i risultati. Per quanto riguarda le prospettive di sviluppo nel trattamento e nella presentazione dei (...) dati, tra le più importanti quelle che riguardano gli etnotesti, componente importante e peculiare del corpus di materiali raccolti per l’ALEPO, che va ancora pienamente valorizzata per metterne in luce i significati etnolinguistici, sociolinguistici e testuali. (shrink)

Increases in international travel and migratory flows have enabled infectious diseases to emerge and spread more rapidly than ever before. Hence, it is increasingly easy for local infectious diseases to become global infectious diseases (GIDs). National governments must be able to react quickly and effectively to GIDs, whether naturally occurring or intentionally instigated by bioterrorism. According to the World Health Organisation, global partnerships are necessary to gather the most up-to-date information and to mobilize resources to tackle GIDs when necessary. Communicable (...) disease control also depends upon national public health laws and policies. The containment of an infectious disease typically involves detection, notification, quarantine and isolation of actual or suspected cases; the protection and monitoring of those not infected; and possibly even treatment. Some measures are clearly contentious and raise conflicts between individual and societal interests. In Europe national policies against infectious diseases are very heterogeneous. Some countries have a more communitarian approach to public health ethics, in which the interests of individual and society are more closely intertwined and interdependent, while others take a more liberal approach and give priority to individual freedoms in communicable disease control. This paper provides an overview of the different policies around communicable disease control that exist across a select number of countries across Europe. It then proposes ethical arguments to be considered in the making of public health laws, mostly concerning their effectiveness for public health protection. (shrink)

O presente texto tem por objetivo expor a tematização de J. Chasin acerca da natureza da política em Karl Marx. Segundo Chasin, a crítica marxiana à política tem caráter ontológico, permitindo conhecer o significado maior do ideário marxiano: a distinção necessária entre revolução política e emancipação humana. Tema de fundo que permeia diretamente os propósitos marxianos de revolver e transformar a anatomia da sociedade civil na direção da emancipação humana. Em outras palavras, segundo Chasin, a problemática nodal do pensamento marxiano (...) é a emancipação humana, tema, ele mesmo, decorrente imediato da própria determinação marxiana da individualidade humana: ser ativo e social, autoconstrutor de si e de sua mundaneidade, ainda que de modo contraditório e estranhado. Chasin determina, desse modo, que é na condição de raiz que a crítica ontológica à política se põe e é trabalhada por Marx, de sorte que a não compreensão do sentido real da crítica ao complexo categorial da politicidade – o poder, a política e o estado - reduz, quando não obstaculiza, o real acesso ao texto marxiano. (shrink)

How do people use information from others to solve complex problems? Prior work has addressed this question by placing people in social learning situations where the problems they were asked to solve required varying degrees of exploration. This past work uncovered important interactions between groups' connectivity and the problem's complexity: the advantage of less connected networks over more connected networks increased as exploration was increasingly required for optimally solving the problem at hand. We propose the Social Interpolation Model (SIM), an (...) agent‐based model to explore the cognitive mechanisms that can underlie exploratory behavior in groups. Through results from simulation experiments, we conclude that “exploration” may not be a single cognitive property, but rather the emergent result of three distinct behavioral and cognitive mechanisms, namely, (a) breadth of generalization, (b) quality of prior expectation, and (c) relative valuation of self‐obtained information. We formalize these mechanisms in the SIM, and explore their effects on group dynamics and success at solving different kinds of problems. Our main finding is that broad generalization and high quality of prior expectation facilitate successful search in environments where exploration is important, and hinder successful search in environments where exploitation alone is sufficient. (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)

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)

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.