Background. The increased number of clinical trials taking place in developing countries and the complexity of trial protocols mandate that local ethics review committees reviewing them have the capacity to ensure that they are conducted to the highest ethical standards.Methods. The Kenya AIDS Vaccine Initiative Institute of Clinical Research and the Kenyan National Council for Science and Technology embarked on an exercise to enhance the capacity of ERCs in Kenya to review such protocols. This process involved conducting an audit of (...) all ERCs in the country, and performing training needs assessments to identify knowledge and capacity gaps. Information obtained was used to develop training materials for ERC members at workshops conducted in different parts of the country.Results. Five accredited and 13 non-accredited ERCs were identified. Four of the accredited ERCs were located in the capital city of Kenya, Nairobi. The most common challenges cited by participants during the needs assessments were excess workload, and a lack of co-ordination and/or communication between the ERCs. Subsequently, 140 ERC members from 17 institutions across the country were trained as follows: 36 from institutions in the western part of Kenya, 38 from institutions in the south-eastern coastal region, 38 from the eastern region and 44 from Nairobi.Conclusion. The KAVI-ICR and the NCST have developed training modules for training ERC members in Kenya and are in the process of developing a manual to train members. The Kenyan experience may be used to enhance the capacity of ERCs in the East African region. (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.

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Este texto tiene por objetivo investigar los orígenes del movimiento ideológico anarco-feminista en el Río de la Plata, examinando las circunstancias históricas que propiciaron su surgimiento y que lo caracterizaron. Analizando sus posturas y opiniones contenidas en su principal medio impreso de difusión: el periódico La Voz de la Mujer, las bases de su pensamiento crítico, libertario y emancipatorio respecto a la condición de la mujer, contenidos en su consigna: ni dios, ni patrón, ni marido. Así como sus repercusiones en (...) las transformaciones sociales que se gestaron a finales del siglo XIX.Palabras clave: Feminismo. Anarquismo. Río de la Plata. La Voz de la Mujer. AbstractThis text aims to investigate the origins of the anarcho-feminist ideological movement in the Río de la Plata, examining the historical circumstances that led to its emergence and characterized it. Analyzing their positions and opinions contained in their main print media: the newspaper La Voz de la Mujer, the bases of their critical, libertarian and emancipatory thinking regarding the condition of the women, contained in their slogan: neither god, nor boss, nor husband. As well as its repercussions in the social transformations that took place at the end of the 19th century.Keywords: Feminism. Anarchism. Río de la Plata. La Voz de la Mujer. (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)

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)

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)

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)

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 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)

Iris Murdoch was one of the best-known philosophers and novelists of the post-war period. In this book, Sabina Lovibond explores the tangled issue of Murdoch's stance towards gender and feminism, drawing upon the evidence of her fiction, philosophy, and other public statements. As well as analysing Murdoch's own attitudes, Iris Murdoch, Gender and Philosophy is also a critical enquiry into the way we picture intellectual, and especially philosophical, activity. Appealing to the idea of a 'social imaginary' within which Murdoch's (...) work is located, Lovibond examines the sense of incongruity or dissonance that may still affect our image of a woman philosopher, even where egalitarian views officially hold sway. The first thorough exploration of Murdoch and gender, Iris Murdoch, Gender and Philosophy is a fresh contribution to debates in feminist philosophy and gender studies, and essential reading for anyone interested in Murdoch's literary and philosophical writing. (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)

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)

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)

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: [email protected]. (shrink)

Biomedical deployments of data science capitalise on vast, heterogeneous data sources. This promotes a diversified understanding of what counts as evidence for health-related interventions, beyond the strictures associated with evidence-based medicine. Focusing on COVID-19 transmission and prevention research, I consider the epistemic implications of this diversification of evidence in relation to: (1) experimental design, especially the revival of natural experiments as sources of reliable epidemiological knowledge; and (2) modelling practices, particularly the recognition of transdisciplinary expertise as crucial to developing and (...) interpreting data models. Acknowledging such shifts in evidential, experimental and modelling practices helps avoid harmful applications of data-intensive methods. (shrink)

In 2008, Dutch anti-Islam Member of Parliament Geert Wilders produced a short video called Fitna to visualize his argument that Islam is a dangerous religion. Thousands of men and women across the globe uploaded their own videos to YouTube to criticize or support the film. In this article, we look at these alternative videos from a feminist perspective, contrasting the gender portrayal and narratives in Fitna with those in the alternative videos. We contend that Fitna expressed an extremist Orientalist discourse, (...) in which women are presented as the current and future victims of the oppression of Muslim men and Islam. In contrast, the YouTube videos give voice to women themselves who come from across the globe, are relatively young and often active Muslims. Second, they express different view points in generically new ways, criticizing and ridiculing Wilders or producing serious and committed explanations of their own understanding of Islam. Third, although relatively few women appeared in the videos, those that did speak for themselves, not only take on Wilders, but also claim their right to speak within Islam. We propose to understand these videos as acts of citizenships through which women constitute themselves as global citizens, in some cases by engaging in ‘deliberation’ as it is understood in feminist political theory, in other cases by taking a ‘voice’ that can be responded to. (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)

The Opera of the National Theater in Belgrade was founded in 1920, but it is well known that opera performances were held long before its official opening. Despite the fact that this is the sole opera house in Belgrade, as well as the fact that it did not face any strong audience fluctuation, it is unusual that no one ever tried to investigate and profile its audience. During the last decades we were witnessing the popularization of the opera via various (...) medias, as well as development and extention of the music industry, which surely changed its social status. The aim of the investigation that is going to be presented is to discover if this social life of opera changed its audience and does it still consists of - according to stereotypes - elderly, high educated individuals of certain professions and high material standards, i.e. at which level the opera is present in the private and public sphere of their lives. Opera Narodnog pozorista u Beogradu osnovana je 1920. godine, ali je poznato da su operske predstave izvodjene i pre njenog zvanicnog osnivanja. Iako u radu nije nailazila na vecu fluktuaciju publike, a i dalje predstavlja jedinu opersku kucu u Beogradu, do sada nije bilo pokusaja da se naucno istrazi i profilise njena publika. Poslednjih decenija svedoci smo sve vece popularizacije operske muzike putem razlicitih medija, te razvijanjem i sirenjem muzicke industrije, sto dovodi i do promene njenog socijalnog statusa. Cilj ovog dela istrazivanja jeste da sazna da li je izmenjeni socijalni zivot opere izmenio i njenu publiku, da li nju - prema ustaljenim shvatanjima - i dalje pretezno cine visokoobrazovani, stariji pojedinci odredjenih zanimanja i visokog materijalnog standarda, odnosno koliko je opera zaista prisutna u privatnoj i javnoj sferi njihovih zivota. (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)

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)

"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).

How should actions to redress absolute human deprivation be framed? Current international coordinated actions on absolute poverty are framed by human rights or by goals such as the Millennium Development Goals. But appropriate, effective and sustained responses to needs require localized participation in the definition of those rights/goals/needs and in measures taken to redress them. Human rights or the MDGs do not seem necessarily to require such processes. For this reason some argue that no universal framework can describe economic, social, (...) or cultural rights. Yet to address absolute poverty purely from the local perspective still requires the identification and prioritization of capabilities or needs, and often requires actions by greater-than-local institutions, so in practical terms a framework is not rejected without cost. This paper argues that the identification and prioritisation of rights or MDGs can and should be done at an international level, but that they might be framed as capabilities, and that far greater attention need be given to the iterative specification of these rights, and to the ongoing protection of certain agency freedoms. The paper explores how Wiggins’ account of need can fruitfully inform the specification of needs claims. It also draws significantly on Sen’s work to identify the intrinsic importance of process and opportunity freedoms, and to identify how these can relate to universal priorities. (shrink)

Sabina Lovibond; XII*—True and False Pleasures, Proceedings of the Aristotelian Society, Volume 90, Issue 1, 1 June 1990, Pages 213–230, https://doi.org/10.1093.