The phylogenetic data are inconsistent with the hypothesis that REM sleep duration is correlated with learning or learning ability. Humans do not have uniquely high amounts of REM sleep. The platypus, marsupials, and other mammals not generally thought to have extraordinary learning abilities have the largest amounts of REM sleep. The whales and dolphins (cetaceans) have the lowest amounts of REM sleep and may go without REM sleep for extended periods of time, despite their prodigious learning abilities. Vertes & (...) Eastman]. (shrink)

This article explores how the diversity of board resources and the number of women on boards affect firms' corporate social responsibility (CSR) ratings, and how, in turn, CSR influences corporate reputation. In addition, this article examines whether CSR ratings mediate the relationships among board resource diversity, gender composition, and corporate reputation. The OLS regression results using lagged data for independent and control variables were statistically significant for the gender composition hypotheses, but not for the resource diversitybased hypotheses. CSR ratings (...) had a positive impact on reputation and mediated the relationship between the number of women on the board and corporate reputation. (shrink)

The differentiation of male and female characteristics in vertebrates and insects has long been thought to proceed via different mechanisms. Traditionally, vertebrate sexual development was thought to occur in two phases: a primary and a secondary phase, the primary phase involving the differentiation of the gonads, and the secondary phase involving the differentiation of other sexual traits via the influence of sex hormones secreted by the gonads. In contrast, insect sexual development was thought to depend exclusively on cell‐autonomous expression of (...) sex‐specific genes. Recently, however, new evidence indicates that both vertebrates and insects rely on sex hormones as well as cell‐autonomous mechanisms to develop sexual traits. Collectively, these new data challenge the traditional vertebrate definitions of primary and secondary sexual development, call for a redefinition of these terms, and indicate the need for research aimed at explaining the relative dependence on cell‐autonomous versus hormonally guided sexual development in animals. (shrink)

In Australia research projects proposing the use of linked data require approval by a Human Research Ethics Committee . A sound evaluation of the ethical issues involved requires understanding of the basic mechanics of data linkage, the associated benefits and risks, and the legal context in which it occurs. The rapidly increasing number of research projects utilising linked data in Australia has led to an urgent need for enhanced capacity of HRECs to review research applications involving this (...) emerging research methodology. The training described in this article was designed to respond to an identified need among the data linkage units in the Australian Population Health Research Network and HREC members in Australia. (shrink)

The negative impact of adverse experiences in childhood on neurodevelopment is well documented. Less attention however has been given to the impact of variations in “normative” parenting behaviors. The influence of these parenting behaviors is likely to be marked during periods of rapid brain reorganization, such as late childhood. The aim of the current study was to investigate associations between normative parenting behaviors and the development of structural brain networks across late childhood. Data were collected from a longitudinal sample (...) of 114 mother-child dyads (54% female children,Mage 8.41 years, SD = 0.32 years), recruited from low socioeconomic areas of Melbourne, Australia. At the first assessment parenting behaviors were coded from two lab-based interaction tasks and structural magnetic resonance imaging (MRI) scans of the children were performed. At the second assessment, approximately 18 months later (Mage 9.97 years, SD = 0.37 years) MRI scans were repeated. Cortical thickness (CT) was extracted from T1-weighted images using FreeSurfer. Structural covariance (SC) networks were constructed from partial correlations of CT estimates between brain regions and estimates of network efficiency and modularity were obtained for each time point. The change in these network measures, from Time 1 to Time 2, was also calculated. At Time 2, less positive maternal affective behavior was associated with higher modularity (more segregated networks), while negative maternal affective behavior was not related. No support was found for an association between local or global efficacy and maternal affective behaviors at Time 2. Similarly, no support was demonstrated for associations between maternal affective behaviors and change in network efficiency and modularity, from Time 1 to Time 2. These results indicate that normative variations in parenting may influence the development of structural brain networks in late childhood and extend current knowledge about environmental influences on structural connectivity in a developmental context. (shrink)

Robust techniques critically improve bearing-only target localization when the relevant measurements are being corrupted by impulsive noise. Resistance to isolated gross errors refers to the conventional least absolute residual method, and its estimate can be determined by linear programming when pseudolinear equations are set. The LAR approach, however, cannot reduce the bias attributed to the correlation between system matrices and noise vectors. In the present study, perturbations are introduced into the elements of the system matrix and the data (...) vector simultaneously, and the total optimization problem is formulated based on least absolute deviations. Subsequently, an equivalent form of total least absolute residuals is obtained, and an algorithm is developed to calculate the robust estimate by dual ascent algorithms. Moreover, the performance of the proposed method is verified through the numerical simulations by using two types of localization geometries, i.e., random and linear. As revealed from the results, the TLAR algorithm is capable of exhibiting significantly higher localization accuracy as compared with the LAR method. (shrink)

Much bioethical literature and policy guidances for big data analytics in biomedical research emphasize the importance of trust. It is essential that potential participants trust so they will allow their data to be used to further research. However, comparatively, little guidance is offered as to what trustworthy oversight mechanisms are, or how policy should support them, as data are collected, shared, and used. Generally, “trust” is not characterized well enough, or meaningfully enough, for the term to be (...) systematically applied in policy development. Yet points made in the philosophical literature on trust can help. They allow us, not only to better distinguish the different ways the term “trust” may be interpreted, but also to better determine how different approaches to trust can align with policy and governance—in what ways they may relate to key bioethical concepts and related laws, and in what ways they can help to balance individual and group interests in data sharing. This article draws from the philosophical literature on trust to identify a relationship among consent, trust, and justice. Specifically, parallels are drawn between “character-trustworthiness” and “natural justice,” a set of widely held legal safeguards intended to ensure decision-makers follow a pattern of procedural fairness which protects the rights of the individual and thereby maintains public confidence in the decision-making process. Relevance to traditional bioethical principles, established laws, and consent procedures are addressed throughout. In conclusion, policy actions are suggested. (shrink)

The relatively recent increase in empirical research conducted in business ethics has been accompanied by a growing literature which addresses its present shortcomings and continuing challenges. Particular attention has been focused on the difficulties of obtaining valid and reliable primary data. However, little or no attention has been paid to the use of secondary data. The aim of this paper is to stimulate the interest of business ethics researchers in using secondary data, either as a substitute or (...) complement for primary data, bearing in mind both the benefits and shortcomings of doing so. It is suggested that secondary data not only offer advantages in terms of cost and effort, as conventionally described in research methods books, but also that in certain cases their use may overcome some of the difficulties that particularly afflict business ethics researchers in the gathering of primary data. In order to help business ethicists respond to this call for greater consideration of the potential offered by secondary data, the wide variety of forms that such data may take is indicated and a number of themes regarding their use discussed. (shrink)

*PSA 2016, symposium on “Data in Time: Epistemology of Historical Data” organized by Sabina Leonelli, 5 November 2016* *See published version: "Radiocarbon Dating in Archaeology: Triangulation and Traceability" in Data Journeys in the Sciences (2020) - link below* Archaeologists put a premium on pressing “legacy data” into service, given the notoriously selective and destructive nature of their practices of data capture. Legacy data consist of material and records that been assembled over decades, sometimes centuries, (...) often by means and for purposes long since discredited or superseded. The primary strategies by which archaeologists put the data to work for new purposes are, I argue, secondary retrieval, recontextualization, and experimental modelling. I focus here on a particularly telling and complex example of secondary retrieval: the extraction of new data from old by means of radiocarbon dating. This is by no means a straightforward process of retrieving physical samples from legacy data to which 14C techniques can be applied that can, on their own, decisively settle chronological questions. When Libby’s post-war radiocarbon revolution got under way, it was expected to establish an absolute chronology that would render obsolete the local and relative chronologies on which archaeologists had long relied. Transformative though it has been, bringing these tools of physical dating to bear on archaeological problems has been a long, tortuous process, now described as proceeding through two subsequent radiocarbon revolutions. The second was an extended process of calibration by which 14C chronologies were corrected and refined, often against the very lines of evidence they were meant to displace. The most recent, a “pragmatic Bayesian” approach to archaeological dating, is motivated by concern that, no matter how much it is refined, radiocarbon dating cannot on its own resolve the chronological problems that archaeologists address; the challenge, its advocates argue, is to ‘fully integrate archaeological information with 14C dating in order to address archaeologically relevant timescales and episodes’. This is a genre of “robustness” reasoning that illustrates its epistemic risks as well as its appeal. As recent philosophical debate makes clear, it depends on appeals to the convergence of independent lines of evidence that may have more rhetorical than epistemic force and that may be spurious. Drawing on this philosophical literature I identify a set of conditions that must be met if these risks are to be avoided, all of which are an explicit focus of debate in cases of contestation about and reconciliation of chronologies based on legacy data. (shrink)

The contribution of Big Data to social science is not limited to data availability but includes the introduction of analytical approaches that have been developed in computer science, and in particular in machine learning. This brings about a new ‘culture’ of statistical modelling that bears considerable potential for the social scientist. This argument is illustrated with a brief discussion of model-based recursive partitioning which can bridge the theory and data-driven approach. Such a method is an example of (...) how this new approach can help revise models that work for the full dataset: it can be used for evaluating different models, a traditional weakness of the ‘traditional’ statistical approach used in social science. (shrink)

Empirical data show that members of underrepresented and historically marginalized groups in academia undertake many forms of undervalued or unnoticed labor. While the data help to identify that this labor exists, they do not provide a thick description of what the experience is like, nor do they offer a framework for understanding the different kinds of invisible labor that are being undertaken. We identify and analyze a distinct, undervalued, and invisible labor that the data have left unnamed (...) and unmeasured: ontological labor, the work required to manage one’s identity and body if either or both do not fit into academic structures, norms, and demands. We argue that ontological labor efforts should be understood as a form of labor. We then provide a characterization of ontological labor, detailing the labor as navigating one’s obligations to give and managing entitlements to take. We also highlight the ontological labor that takes place through instances of resistance, such as through complaint or refusals. (shrink)

This pre-registered replication study explores the impact of perceived cuteness on the evolution of cultural artifacts, testing whether neotenic traits – eye size, forehead height, and head roundness – have increased in teddy bears over time. In previous research, Hinde & Barden (1980) found an increase in teddy bear neoteny while Gould (1985) found that Mickey Mouse’s features became more neotenic with time. However, both studies lacked statistical power (15 teddy bears and 3 Mickey Mouse drawings). We collected data (...) from eight major teddy bear manufacturers over nine decades (N = 250; 1900–1980). We found that the forehead height of teddy bears significantly increased over time. Conversely, our prediction that heads became rounder and eyes became bigger were not supported. We outline four key methodological limitations that future research should address to deepen our understanding of the cultural evolution of cuteness and of cultural artifacts more broadly – i.e., sampling bias, metadata inaccuracy, categorization ambiguity, and function ambiguity. (shrink)

The practice of modern craniomaxillofacial surgery has been defined by emergent technologies allowing for the acquisition, storage, utilization, and transfer of massive amounts of sensitive and identifiable patient data. This alone has thrust providers into an unlikely and unprecedented role as the stewards of vast databases of digital information. This data powers the potent surgical tool of virtual surgical planning, a method by which craniomaxillofacial surgeons plan and simulate procedural outcomes in a digital environment. Further complicating this new (...) terrain is the involvement of third‐party contractors—a necessary presence in bringing raw data to bear in the office, virtual space, and operating room. The individual privileges and responsibilities of patients, providers, and vendors towards data are situated within the most recent U.S. court rulings and regulations. This paper offers guidance for overseeing the safe and responsible transfer to third‐party contractors, and provides suggestions for negotiating the trinary relationship between physicians, their patients, and the vendors offering this transformative technology. (shrink)

This article focuses upon defamation law in Australia and its struggles to adjust to the digital landscape, to illustrate the broader challenges involved in the governance and regulation of data associations. In many instances, online publication will be treated by the courts in a similar fashion to traditional forms of publication. What is more contentious is the question of who, if anyone, should bear the responsibility for digital forms of defamatory publication which result not from an individual author’s activity (...) online but rather from algorithmic associations. This article seeks, in part, to analyse this question, by reference to the Australian case law and associated scholarship regarding search engine liability. Reflecting on the tensions involved here offers us a fresh perspective on defamation law through the conceptual lens of data associations. Here the focus of the article shifts to explore some wider questions posed for defamation law by big data. Defamation law may come to play a significant role in emerging frameworks for algorithmic accountability, but these developments also call into question many of its traditional concepts and assumptions. It may be time to think differently about defamation and to consider its interrelationship with privacy, speech and data protection more fully. As a result, I conclude that the courts and policymakers need to engage more deeply and explicitly with the rationale for the protection of reputation and that more thought needs to be given to changing conceptions of reputation in the context of data associations. (shrink)

What could a social-justice oriented, feminist data studies look like? The current datalogical turn foregrounds the digital datafication of everyday life, increasing algorithmic processing and data as an emergent regime of power/knowledge. Scholars celebrate the politics of big data knowledge production for its omnipotent objectivity or dismiss it outright as data fundamentalism that may lead to methodological genocide. In this feminist and postcolonial intervention into gender-, race- and geography-blind ‘big data’ ideologies, I call for ethical, (...) anti-oppressive digital data-driven research in the social sciences and humanities. I argue that a reflexive data scholarship can emerge from the reintegration of feminist and postcolonial science studies and ethics of care ideals. Although it is not a panacea for all ails of data mining, I offer a road map for an alternative data-analysis practice that is more power-sensitive and accountable. By incorporating a people-centric and context-aware perspective that acknowledges relationships of dependency, reflects on temptations, and scrutinises benefits and harm, an ‘asymmetrically reciprocal’ (Young, 1997) research encounter may be achieved. I bring this perspective to bear on experiences of a two-year research project with eighty-four young Londoners on digital identities and living in a highly diverse city. I align awareness of uneven relations of power and knowledge with the messy relation of dependency between human and non-human actors in data analysis. This framework productively recognises that digital data cannot be expected to speak for itself, that data do not emerge from a vacuum, and that isolated data patterns cannot be the end-goal of a situated and reflexive research endeavor. Data-driven research, in turn, shows the urgency for renewed feminist ethical reflection on how digital mediation impacts upon responsibility, intersectional power relations, human subjectivity and the autonomy of research participants over their own data. (shrink)

Experimental philosophy of religion is the project of taking the tools and resources of the human sciences—especially psychology and cognitive science—and bringing them to bear on issues within philosophy of religion toward explicit philosophical ends. This paper introduces readers to experimental philosophy of religion. §1 explores the contours of experimental philosophy of religion by contrasting it with a few related fields: the psychology of religion and cognitive science of religion, on the one hand, and natural theology, on the other. §2 (...) offers a brief history of experimental philosophy of religion. The goal in this section is to highlight the ancient pedigree of this emerging area of research; as the contemporary experimental philosophy of religion literature expands and proliferates, it’s important to remember that this field has deep historical roots. Then, §3 focuses on the following questions: Why should we care about experimental philosophy of religion? And why is it needed? (shrink)

This paper situates the data privacy debate in the context of what I call the death of the data subject. My central claim is that concept of a rights-bearing data subject is being pulled in two contradictory directions at once, and that simultaneous attention to these is necessary to understand and resist the extractive practices of the data industry. Specifically, it is necessary to treat the problems facing the data subject structurally, rather than by (...) narrowly attempting to vindicate its rights. On the one hand, the data industry argues that subjects of biometric identification lack legal standing to pursue claims in court, and Facebook recently denied that that its facial recognition software recognizes faces. On the other hand, industry takes consent to terms of service and arbitration clauses to create enforceable legal subject positions, while using promises of personalization to create a phenomenological subject that is unaware of the extent to which it is being manipulated. Data subjects thus have no legal existence when it is a matter of corporate liability, but legal accountability when it is a matter of their own liability. Successful reform should address the power asymmetries between individuals and data companies that enable this structural disempowerment. (shrink)

A powerful feature of global health research is data‐sharing with regions which bear the heaviest burden of disease. It offers novel opportunities for aggregating data to address critical global health challenges in ways higher than relying on individual studies. Yet there exist important stratifiers of the capacity to share data, particularly across the Global North‐South divide. Systemic challenges that characterize sub‐Saharan Africa and disadvantage the region's scientific productivity threaten the burgeoning data‐sharing culture too. Like all endeavors (...) requiring equal commitments under unequal circumstances, a strong ethical impetus is needed to help reduce inequities and imbalances to encourage adherence. This article discusses mandatory data‐sharing in relation to peculiar challenges faced by sub‐Saharan African scientists to suggest ethical principles for rethinking and reframing solutions. We propose six principles which mirror guidelines from the Institute of Medicine and encapsulate principles from the Emanuel Framework, Nairobi Data Sharing Principles, and the COHRED guidelines. (shrink)

This article reviews some recent empirical work on lay judgments about what agents do intentionally and what they intend in various stories and explores its bearing on the philosophical project of providing a conceptual analysis of intentional action. The article is a case study of the potential bearing of empirical studies of a variety of folk concepts on philosophical efforts to analyze those concepts and vice versa. Topics examined include double effect; the influence of moral considerations on judgments (...) about what is done intentionally and about what is intended; the influence of considerations of luck, skill, and causal deviance on judgments about what agents do intentionally; what interesting properties all cases of intentional action might share; and the debate between proponents of, respectively, "the Simple View" of the connection between intentional action and intention and "the Single Phenomenon View" of that connection. A substantial body of literature is devoted to the project of analyzing intentional action [1] . In this article, I explore the bearing on that project of some recent empirical work on lay judgments about what is done intentionally and about what is intended. This article may reasonably be regarded as a case study of the potential bearing of empirical studies of a range of folk concepts on philosophical efforts to analyze those concepts and, likewise, of the potential bearing of attempted philosophical analyses of folk concepts on empirical studies of those concepts. (shrink)

Studies of consciousness have traditionally been based mainly upon the perceptual domains of consciousness. However, there is another side of consciousness, represented by various types of intrinsic conscious experiences. Even though intrinsic experiences can represent up to 50% of our conscious experiences, they are still largely neglected in conscious studies. We assume there are two reasons for this. First, the field of intrinsic conscious experiences is methodologically far more problematic than any other. Second, specific paradigms for capturing the correlates of (...) intrinsic conscious experiences are almost nonexistent. Nevertheless, we expect the intrinsic side of consciousness to soon take its place in conscious studies, but first new experimental paradigms will have to be devised, which would be of a similar design to the paradigms used in studies of perceptual consciousness. In this hypothesis and theory article, we propose such a hypothetical paradigm, presenting the exploratory data of our proof-of-concept study, discussing its use, and addressing its shortcomings and their possible remediation. (shrink)

In this paper, I critically evaluate several related, provocative claims made by proponents of data-intensive science and “Big Data” which bear on scientific methodology, especially the claim that scientists will soon no longer have any use for familiar concepts like causation and explanation. After introducing the issue, in Section 2, I elaborate on the alleged changes to scientific method that feature prominently in discussions of Big Data. In Section 3, I argue that these methodological claims are in (...) tension with a prominent account of scientific method, often called “Inference to the Best Explanation”. Later on, in Section 3, I consider an argument against IBE that will be congenial to proponents of Big Data, namely, the argument due to Roche and Sober Analysis, 73:659–668, that “explanatoriness is evidentially irrelevant.” This argument is based on Bayesianism, one of the most prominent general accounts of theory-confirmation. In Section 4, I consider some extant responses to this argument, especially that of Climenhaga Philosophy of Science, 84:359–368,. In Section 5, I argue that Roche and Sober’s argument does not show that explanatory reasoning is dispensable. In Section 6, I argue that there is good reason to think explanatory reasoning will continue to prove indispensable in scientific practice. Drawing on Cicero’s oft-neglected De Divinatione, I formulate what I call the “Ciceronian Causal-nomological Requirement”, which states, roughly, that causal-nomological knowledge is essential for relying on correlations in predictive inference. I defend a version of the CCR by appealing to the challenge of “spurious correlations,” chance correlations which we should not rely upon for predictive inference. In Section 7, I offer some concluding remarks. (shrink)

Linkage (or genetic) maps are graphs, which are intended to represent the linear ordering of genes on the chromosomes. They are constructed on the basis of statistical data concerning the transmission of genes. The invention of this technique in 1913 was driven by Morgan's group's adoption of a set of hypotheses concerning the physical mechanism of heredity. These hypotheses were themselves grounded in Morgan's defense of the chromosome theory of heredity, according to which chromosomes are the physical basis of (...) genes. In this paper, I analyze the 1919 debate between William Castle and Morgan's group, about the construction of genetic maps. The official issue of the debate concerns the arrangement of genes on chromosomes. However, the disputants tend to carry out the discussions about how one should model the data in order to draw predictions concerning the transmission of genes; the debate does not bear on the data themselves, nor does it focus on the hypotheses explaining these data. The main criteria that are appealed to by the protagonists are simplicity and predictive efficacy. However, I show that both parties' assessments of the simplicity and predictive efficacy of different ways of modeling the data themselves depend on background theoretical positions. I aim at clarifying how preference for a given model and theoretical commitments articulate. (shrink)

Using embodied sociology, this article offers a virtual ethnography of ‘fat male embodiment’. Reporting and analysing qualitative data generated online, it includes a typology of big/fat male body-subjects and supportive/admiring others. These fat-friendly typifications are unpacked by referencing advocated codes of self–body relatedness, sexualities and the relevance of food. The virtual construction of acceptable, admirable or resistant masculinities is then explored under the following headings: (1) appeals to ‘real’ or ‘natural’ masculinity; (2) the admiration and eroticization of fat men’s (...) bodies; (3) transgression, fun and the carnivalesque; and (4) the pragmatics and politics of fat male embodiment. While alternative (positive) understandings of fatness are presented online, discrepancies between virtual and actual identities render stigma an ever-present possibility for those with ‘real’ fat male bodies. (shrink)

Informed consent bears significant relevance as a legal basis for the processing of personal data and health data in the current privacy, data protection and confidentiality legislations. The consent requirements find their basis in an ideal of personal autonomy. Yet, with the recent advent of the global pandemic and the increased use of eHealth applications in its wake, a more differentiated perspective with regards to this normative approach might soon gain momentum. This paper discusses the compatibility of (...) a moral duty to share data for the sake of the improvement of healthcare, research, and public health with autonomy in the field of data protection, privacy and medical confidentiality. It explores several ethical-theoretical justifications for a duty of data sharing, and then reflects on how existing privacy, data protection, and confidentiality legislations could obstruct such a duty. Consent, as currently defined in the General Data Protection Regulation – a key legislative framework providing rules on the processing of personal data and data concerning health – and in the recommendation of the Council of Europe on the protection of health-related data – explored here as soft-law – turns out not to be indispensable from various ethical perspectives, while the requirement of consent in the General Data Protection Regulation and the recommendation nonetheless curtails the full potential of a duty to share medical data. Also other legal grounds as possible alternatives for consent seem to constitute an impediment. (shrink)

This essay considers implications of formal mereologies and ontologies for medical metaphysics. Edward Fried’s extensional mereological account of the human body is taken as representative of a prominent strand in analytic metaphysics that has close affinities with medical positivism. I show why such accounts fail. First, I consider how Fried attempts to make sense of the medical case of Barney Clark, the first recipient of an artificial heart, and show that his analytic metaphysical categories do not have the right kind (...) of fit with the case. A proper medical metaphysic should involve a richer two way dialogue with medicine, and it should not just “apply” formal accounts worked out in other settings. Second, I argue that any effort to account for real wholes with extensional mereological sums requires all sorts of ad hoc, supplementary mechanisms that do the real work, and the full repertoire of these mechanisms involves inconsistencies and semantic shifts. Finally, I consider an alternative strand of work on non-extensional whole/part relations that is closer to medicine and that can deepen reflection on some core problems in bioethics, for example, associated with the determination of death when an organism ceases to function as a whole. In addition to the utility such formal ontologies have for addressing traditional problems such as the determination of death, philosophers of medicine should appreciate the increasingly influential role such formal tools are playing in the development of data system ontologies. Assumptions integral to these ontologies have far reaching implications for the way future research and practice in medicine will be conducted, and much greater critical reflection is needed on the full range of issues associated with the development and use of such medical ontologies. (shrink)

Abstract.This paper uses an evolutionary perspective to identify variables influencing compliance with moral codes about honest communication. Data on over one thousand radio conversations among lobster fishers in two harbors in Maine are compared in regard to the sharing of information. The sharing of accurate information is found to be significantly more frequent in the harbor that is more integrated by reciprocally altruistic relationships. This is consistent with the view that moral systems are systems of indirect reciprocity, but it (...) also suggests that humans have evolved to base their compliance with moral codes on cues from their social environment. (shrink)

Current challenges to sustaining public support for health data research have directed attention to the governance of data-intensive health research networks. Accountability is hailed as an important element of trustworthy governance frameworks for data-intensive health research networks. Yet the extent to which adequate accountability regimes in data-intensive health research networks are currently realized is questionable. Current governance of data-intensive health research networks is dominated by the limitations of a drawing board approach. As a way forward, (...) we propose a stronger focus on accountability as learning to achieve accountable governance. As an important step in that direction, we provide two pathways: (1) developing an integrated structure for decision-making and (2) establishing a dialogue in ongoing deliberative processes. Suitable places for learning accountability to thrive are dedicated governing bodies as well as specialized committees, panels or boards which bear and guide the development of governance in data-intensive health research networks. A continuous accountability process which comprises learning and interaction accommodates the diversity of expectations, responsibilities and tasks in data-intensive health research networks to achieve responsible and effective governance. (shrink)

Amidst the climate of crisis surrounding the rise in opioid-related overdose in the USA, early in 2019, Google and Deloitte launched ‘Opioid360’. Here came a platform combining browser histories, credit, insurance, social media, and traditional survey data to sell the service of risk calculation in population health. Opioid360's approach to automating risk calculation not only promised to identify persons ‘at risk’ of opioid dependence, but also paved the way for broader applications anticipating common chronic diseases and coordinating logistical operations (...) involved in pandemic response. Beginning with this experimental platform, this paper develops an analysis of the Big Data mode of risk calculation - an epistemological and political shift that involves technology companies, investors, insurers, governments, and public health institutions. The analysis focuses on the re-emergence of ‘social determinants of health’ in the rhetoric accompanying novel analytic platforms that estimate, calculate, and compute individual health risks. While the treatment of SDOH has always been a site of political contestation within the discipline of public health, powerful interests are crystallising around the concept and instrumentalising it in platforms that sell algorithmic prediction. Silicon Valley's breed of asset-oriented technoscience appears not only to be amplifying the behaviouralist elements of public health. Among the stakes of the Big Data mode is the paradoxical retreat from changing social conditions that contribute to the prevalence of health and illness in populations; and instead, the promotion of an apparatus for pricing and exchanging individual risk or excluding from services those who bear risk most acutely. (shrink)

Engaging citizens with digital technology to co-create data, information and knowledge has widely become an important strategy for informing the policy response to COVID-19 and the ‘infodemic’ of misinformation in cyberspace. This move towards digital citizen participation aligns well with the United Nations’ agenda to encourage the use of digital tools to enable data-driven, direct democracy. From data capture to information generation, and knowledge co-creation, every stage of the data lifecycle bears important considerations to inform policy (...) and practice. Drawing on evidence of participatory policy and practice during COVID-19, we outline a framework for citizen ‘e-participation’ in knowledge co-creation across every stage of the policy cycle. We explore how coupling the generation of information with that of social capital can provide opportunities to collectively build trust in institutions, accelerate recovery and facilitate the ‘e-society’. We outline the key aspects of realising this vision of data-driven direct democracy by discussing several examples. Sustaining participatory knowledge co-creation beyond COVID-19 requires that local organisations and institutions incorporate adaptive learning mechanisms into their operational and governance structures, their integrated service models, as well as employing emerging social innovations. (shrink)

In this set of contributions to the Kennedy Institute of Ethics Journal celebrating the significant work and contributions of LeRoy Walters, we aim to bring new perspectives to topics that Dr. Walters helped to pioneer and continue his tradition of bringing moral insights and arguments to bear on the development of practical public and professional policies. Dr. Walters is well known for his invaluable service as member and chair of the Recombinant DNA Advisory Committee at the National Institutes of Health. (...) He also made major contributions to a variety of other committees responsible for the oversight of research and science, and to the development and implementation of influential... (shrink)

Assessment practices have come to dominate much of formalized education, especially within the United States. Currently, learning analytics (la) and educational data mining (edm) are purported by many educational companies and institutions to successfully improve learning through what are often considered as objective collection, classification, and analysis of educational data. Enthusiasm about big data in education has contributed to the naturalization of datafication within the field. Educational data is regarded as a natural resource that exists ‘out (...) there’ to be mined by edm and refined by la. Once refined, it is thought to bear the truth of educational assessment that leads to successful learning outcomes. (shrink)

Prelog’s model was one of the first empirical models to explain the stereoselectivity of the Grignard reactions of 2-oxocarboxylic acid esters bearing a chiral alcohol. Prelog constructed his model based on some assumptions regarding the conformation of chiral 2-oxocarboxylic acid esters to explain the relationship in configuration between the chiral alcohol starting materials and the 2-hydroxycarboxylic acid products. Construction of the model involves four steps: (1) mentally analyzing the reactants to identify the basic stereochemical structures, (2) assuming the conformations (...) of the chiral alcohol moiety as the main reasons for stereoselectivity, (3) modeling the transition states to explain the relationship in configuration between the chiral alcohols and 2-hydroxycarboxylic acids, and (4) validating the evidence to revise the model. The process of constructing this historically pivotal model may have implications for science education, especially for developing theories from extensive data. The four steps from the Prelog’s model were compared with the models for boiling points of hydrocarbons and solubility of amino acids. (shrink)

The objective of this essay is to forge a more explicit link between the “visual turn” and the “practice turn” in entrepreneurship research. Specifically, we explore three key aspects of mobilizing visual methods for studying entrepreneurship-as-practice, i.e., data sources, collection strategies, and analytical perspectives, highlighting the important theoretical and empirical promises that visual methods hold for said research. This essay bears implications for researchers and educators working at the intersection of entrepreneurship research, the practice theory, and visual methods.

Book description: * G. E. Moore is a key figure in analytic philosophy * Sixteen specially written essays reflect the current resurgence of interest in Moore 's work * Superb international line-up of contributors * A valuable resource for anyone working in epistemology or ethics These sixteen original essays, whose authors include some of the world's leading philosophers, examine themes from the work of the Cambridge philosopher G. E. Moore, and demonstrate his considerable continuing influence on philosophical debate. Part I (...) bears on epistemological topics, such as scepticism about the external world, the significance of common sense, and theories of perception. Part II is devoted to themes in ethics, such as Moore 's open question argument, his non-naturalism, utilitarianism, and his notion of organic unities. (shrink)

As advances in medicine continue to develop, questions of how medical research impacts human rights continue to be raised. Research on medical products depends on study participants’ who are willing to donate their time, effort, and willingly take on the inherent risk of trial research. Testing of new products (prescription medicine and medical devices) is always unpredictable. Even higher degrees of unpredictability are always associated with those products having new mechanisms of action. ‘Unpredictability’ refers to:The inability to estimate four aspects (...) of risk related to a newly designed product with a new mechanism of action:More work needs to be done across academic boundaries concerning citizens’ rights to receive full information about new medical products. The important tasks of clarifying and communicating the levels of unpredictability of a medical product lie in three areas: (i) consent and informed consent in patient care; (ii) consent and informed consent in research on humans; and (iii) information provided to consumers, physicians, and researchers by product manufacturers. The right to full and open disclosure of risk information regarding medical products affects citizens in three different positions: (i) as study participants bearing the risks of new medical products; (ii) as patients who are asked to consider these products as treatment in their medical care; and (iii) as consumers who may receive less than full disclosures about medical products from product manufacturers. To achieve this goal of full and open disclosure of product risks, society must focus on the obligations of product manufacturers to provide this type of disclosure about their medical products. I will argue that citizens are owed these rights because citizens are the study participants who bear the risks related to medical product testing. (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)

The last two decades have seen a rising interest in (a) the notion of a scientific phenomenon as distinct from theories and data, and (b) the intricacies of experimentally producing and stabilizing phenomena. This paper develops an analysis of the stabilization of phenomena that integrates two aspects that have largely been treated separately in the literature: one concerns the skills required for empirical work; the other concerns the strategies by which claims about phenomena are validated. I argue that in (...) order to make sense of the process of stabilization, we need to distinguish between two types of phenomena: phenomena as patterns in the data ( surface regularities ) and phenomena as underlying (or hidden ) regularities. I show that the epistemic relationships that data bear to each of these types of phenomena are different: Data patterns are instantiated by individual data, whereas underlying regularities are indicated by individual data, insofar as they instantiate a data pattern. Drawing on an example from memory research, I argue that neither of these two kinds of phenomenon can be stabilized in isolation. I conclude that what is stabilized when phenomena are stabilized is the fit between surface regularities and hidden regularities. (shrink)

Weighing the benefit of the blessing of a child against the potential abuses of a surrogate mother, Jewish law should permit a woman to serve as a surrogate, whether as an ovum surrogate or a gestational surrogate. Because it is a last resort solution to a couple's infertility, payment to a surrogate should be permitted. In discussing the ethics of surrogacy, it is essential to go beyond theoretical concerns and to examine the actual data concerning this new form of (...) procreation. Past precedents do not necessarily apply because of the novel split between genetics and gestation and the addition of intent. (shrink)

Imagery has played an important, albeit controversial, role in the study of memory psychophysics. In this commentary we critically examine the available data bearing on whether pictorial based depictions of remembered perceptual events are activated and scanned in each of a number of different psychophysical tasks.

Morality bears on what we should forget. Some aspects of our identity are meant to be forgotten and there is a distinctive harm that accompanies the permanence of some content about us, content that prompts a duty to forget. To make the case that forgetting is an integral part of our moral duties to others, the paper proceeds as follows. In §1, I make the case that forgetting is morally evaluable and I survey three kinds of forgetting: no-trace forgetting, archival (...) forgetting, and siloing. In §2, I turn to how we practice these forms of forgetting in our everyday lives and the goods these practices facilitate by drawing on examples ranging from the expunging of juvenile arrest records to the right to privacy. In §3, I turn to how my account can help us both recognize and address a heretofore neglected source of harm caused by technology and big data. In §4, I end by addressing the concern that we lack control over forgetting and thus can't be required to forget. I argue this challenge can be answered, but there’s a harder challenge that can’t. Forgetting is under threat. To address this challenge and preserve forgetting, we must change the world. (shrink)

Indispensability arguments purport to show that empirical data provide evidence for the existence of mathematical entities. In this paper we argue that indispensability arguments fail to show that empirical data bears on the mathematical. In order to show this we attempt to clarify what it is to be mathematical , and separate the question whether abstracta in general exist from whether distinctively mathematical abstracta exist. We introduce the notion of an ‘agnostified’ empirical theory as a heuristic device for (...) clarifying the role of mathematical terminology in empirical theories. The special case of spaces is then briefly considered. (shrink)

In the norms of assertion literature there has been continued focus on a wide range of odd-sounding assertions that have been collected under the umbrella of Moore’s Paradox. Our aim in these brief remarks is not to attempt to settle the question of what makes an utterance Moorean decisively, but rather to present some new data bearing on it, and to argue that this new data is best explained by a new account of Moorean absurdity.

Data from the Kipsigis of Kenya are used to test two models for how parents invest in offspring, the Trivers-Willard and local resource competition/enhancement hypotheses. Investment is measured as age-specific survival, educational success, marital arrangements, and some components of property inheritance, permitting an evaluation of how biases persist or alter over the period of dependence. Changes through time in such biases are also examined. Despite stronger effects of wealth on the reproductive success of men than women, the survival of (...) sons and daughters is not related to parental wealth. However, a Trivers-Willard effect characterizes educational investment: poor families show a greater concern for daughters’ (vis-à-vis sons’) schooling than do rich families, a trend that has increased over time. In regard to models of local resource competition and enhancement, men’s reproductive success decreases with number of brothers and increases with number of sisters; this pattern of competition with same-sex sibs and cooperation with opposite-sex sibs is not found among women. As predicted from these observations, parents show reduced investment in sons with a large number of brothers, and increased investment in sons with a large number of sisters. By contrast, investment in daughters is entirely unaffected by number of sisters and is influenced only in subtle ways by number of brothers. Levels of investment in relation to sibship size (irrespective of siblings’ sex) are highest for younger children of large sib sets.Discussion of the results in relation to those from other studies leads to three conclusions. First, predictive models for how investment biases vary across societies must consider a broad range of socioecological factors constraining parental options and payoffs. Second, the timing of investment biases within societies will be affected by the value of children and the costs of parental investment. Third, measures of investment appropriate for between-sex and between-class comparisons need careful attention. Each of these issues is brought to bear on the question of why, in contrast to so many other parts of the world, sex preferences are so muted in Africa. (shrink)

The contribution of this work is a classification of corporate social action underlying the Social Ratings Data compiled by Kinder Lydenburg Domini Analytics, Inc. We compare extant typologies of corporate social action to the results of our exploratory factor analysis. Our findings indicate four distinct latent constructs that bear resemblance to concepts discussed in prior literature. Akey finding of our research is that positive and negative social action are both empirically and conceptually distinct constructs and should not be combined (...) in future research. Additionally, we recommend that some prior research results be reconsidered to determine whether these newly derived measures might clarify some previous findings. (shrink)

Data from published case and group studies bear on the trace deletion hypothesis. The deficit-lesion correlational literature does not support Grodzinsky's claim that lesions in and around Broca's area inevitably lead to comprehension deficits specifically related to coindexation of traces or his claim that other lesions spare this function.

One of the most impressive changes in economics and decision sciences is the emergence and fast growth of so-called “behavioral” economics and neuroeconomics. These fields raise several methodological issues, some of them being currently intensively discussed. Amongst those issues, the following is prominent : what is the epistemic relevance of non-behavioral or “cognitive” data, i.e. data which bear on cognitive processes and states involved in decision making ? F. Gul and W. Pesendorfer (2005/2008) have vigorously criticized the idea (...) that these data could be relevant for economics and decision sciences. Their criticisms became the focal point of a very active methodological literature. In this paper, we reconstruct and discuss Gul and Pesendorfer’s views and arguments. Although we are not convinced by some of them, we believe the authors hint a genuine issue : the “missing links” issue. (shrink)

Aside from adducing little data that bear on our original concerns (pervasive “audience effects” in the encoding of identifiable “disgust expressions”/lack of morally induced disgust versus moral disgust differentiation), Chapman and Anderson (2011) fail to muster a convincing body of evidence for the founding premise of their empirical endeavor—disgust is a bona fide “basic emotion” whose theoretically predicted FM pattern is a goosebump-like, metaphor-resistant readout capable of being effectively analyzed within the “expression programs” canon, leading us to reaffirm that (...) our favored alternative, the “moral disgust as a metaphor” interpretation, is as consistent with all the pertinent data (including theirs), if not more so. (shrink)