We argue that the health sciences make causal claims on the basis of evidence both of physical mechanisms, and of probabilistic dependencies. Consequently, an analysis of causality solely in terms of physical mechanisms or solely in terms of probabilistic relationships, does not do justice to the causal claims of these sciences. Yet there seems to be a single relation of cause in these sciences - pluralism about causality will not do either. Instead, we maintain, the health sciences require a theory (...) of causality that unifies its mechanistic and probabilistic aspects. We argue that the epistemic theory of causality provides the required unification. (shrink)

In this paper we present the results of a simulation study of credence developments in groups of communicating Bayesian agents, as they update their beliefs about a given proposition p. Based on the empirical literature, one would assume that these groups of rational agents would converge on a view over time, or at least that they would not polarize. This paper presents and discusses surprising evidence that this is not true. Our simulation study shows that these groups of Bayesian agents (...) show group polarization behavior under a broad range of circumstances. This is, we think, an unexpected result, that raises deeper questions about whether the kind of polarization in question is irrational. If one accepts Bayesian agency as the hallmark of epistemic rationality, then one should infer that the polarization we find is also rational. On the other hand, if we are inclined to think that there is something epistemically irrational about group polarization, then something must be off in the model employed in our simulation study. We discuss several possible interfering factors, including how epistemic trust is defined in the model. Ultimately, we propose that the notion of Bayesian agency is missing something in general, namely the ability to respond to higher-order evidence. (shrink)

In Responsible Brains, Hirstein, Sifferd and Fagan apply the language of cognitive neuroscience to dominant understandings of criminal responsibility in criminal law theory. The Authors make a compelling case that, under such dominant understandings, criminal responsibility eventually ‘translates’ into a minimal working set of executive functions that are primarily mediated by the frontal lobes of the brain. In so arguing, the Authors seem to unquestioningly accept the law’s view of the “responsible person” as a mixture of cognitive capacities and mechanisms—thereby (...) leaving aside other fundamental aspects of individuals’ human agency. This commentary article offers a critique of the Authors’ rationalist and individualist approach. The critique can be summarized through the following claim: We humans, as responsible beings, are more than our executive functions. This claim articulates through four main points of discussion: role of emotions in moral judgments and behavior; executive functions and normative criteria for legal insanity; impact of adverse situational factors on executive functions; Authors’ account of punishment and, especially, rehabilitation. (shrink)

A shared problem across the sciences is to make sense of correlational data coming from observations and/or from experiments. Arguably, this means establishing when correlations are causal and when they are not. This is an old problem in philosophy. This paper, narrowing down the scope to quantitative causal analysis in social science, reformulates the problem in terms of the validity of statistical models. Two strategies to make sense of correlational data are presented: first, a 'structural strategy', the goal of which (...) is to model and test causal structures that explain correlational data; second, a 'manipulationist or interventionist strategy', that hinges upon the notion of invariance under intervention. It is argued that while the former can offer a solution the latter cannot. (shrink)

This book features a theoretical depiction of the Italian phenomenological tradition. It brings together the main Italian phenomenologists of the present to discuss the positions and theories of the most important Italian phenomenologists of the past. Those profiled include Antonio Banfi, Sofia Vanni Rovighi, Enzo Paci, Dino Formaggio, Giuseppe Semerari, Enzo Melandri, Paolo Bozzi, Carlo Sini, Giovanni Piana and Paolo Parrini. This collection shows not only the variety of perspectives but also the inner consistency, peculiarity and originality of the tradition. (...) Moreover, the contributors connect continental and analytical traditions, the scientific approach and existentialism. Italian phenomenology, the rise of which dates back to Antonio Banfi’s writings on Husserl in 1923, proves to be from its very beginning, a relational philosophy. It is a philosophy that is capable, precisely by means of its method, of developing actual forms of communication and exchange among the different sciences. This book will provide graduate students and researchers with unique insights into the Italian school of phenomenological thought. (shrink)

This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling. Within this framework we approach causality in terms of exogeneity in a structural conditional model based which is based on (i) congruence with background knowledge, (ii) invariance under a large variety of (...) environmental changes, and (iii) model fit. We also tackle the issue of confounding and show how latent confounders can play havoc with exogeneity. This framework avoids making untestable metaphysical claims about causal relations and yet remains useful for cognitive and action-oriented goals. (shrink)

This article defends a specific account of reasonableness as a virtue of liberal citizenship. I specify an account of reasonableness that I argue is more consistent with the phenomenology of intersubjective exchanges among citizens over political matters in contexts of deep disagreement. My reading requires reasonable citizens to undertake an attitude of epistemic modesty while deliberating public matters with agents who hold views different from theirs. In contrast with my view, I debate Martha Nussbaum’s and Steven Wall’s accounts of reasonableness (...) and specify why I believe that these proposals, although interesting, both require revisions. Distinguishing my account from theirs, I specify the normative relation between reasonableness and a general framework of political legitimacy that identifies citizens as ‘co-authors of democratic decisions’. Here, I argue that the liberal ideal of ascribing to each member of the constituency the status of putative epistemic authority can be properly fulfilled if coupled with a correct specification of the political ideal of mutual respect. I conclude claiming that opacity respect, a notion of respect according to which the recognition respect that is owed to individuals is expressed by the idea that we have to treat them as ‘opaque’, is the most adequate concept of political respect when dealing with interpersonal deliberations at political level in contexts of deep disagreement. (shrink)

The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant (...) Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science. (shrink)

According to Russo and Williamson (Int Stud Philos Sci 21(2):157–170, 2007, Hist Philos Life Sci 33:389–396, 2011a, Philos Sci 1(1):47–69, 2011b ), in order to establish a causal claim of the form, ‘_C_ is a cause of _E_’, one typically needs evidence that there is an underlying mechanism between _C_ and _E_ as well as evidence that _C_ makes a difference to _E_. This thesis has been used to argue that hierarchies of evidence, as championed by evidence-based movements, tend to (...) give primacy to evidence of difference making over evidence of mechanisms and are flawed because the two sorts of evidence are required and they should be treated on a par. An alternative approach gives primacy to evidence of mechanism over evidence of difference making. In this paper, we argue that this alternative approach is equally flawed, again because both sorts of evidence need to be treated on a par. As an illustration of this parity, we explain how scientists working in the ‘EnviroGenomarkers’ project constantly make use of the two evidential components in a dynamic and intertwined way. We argue that such an interplay is needed not only for causal assessment but also for policy purposes. (shrink)

In both scientific and popular circles it is often said that we are in the midst of a sixth mass extinction. Although the urgency of our present environmental crises is not in doubt, such claims of a present mass extinction are highly controversial scientifically. Our aims are, first, to get to the bottom of this scientific debate by shedding philosophical light on the many conceptual and methodological challenges involved in answering this scientific question, and, second, to offer new philosophical perspectives (...) on what the value of asking this question has been — and whether that value persists today. We show that the conceptual challenges in defining ‘mass extinction’, uncertainties in past and present diversity assessments, and data incommensurabilities undermine a straightforward answer to the question of whether we are in, or entering, a sixth mass extinction today. More broadly we argue that an excessive focus on the mass extinction framing can be misleading for present conservation efforts and may lead us to miss out on the many other valuable insights that Earth’s deep time can offer in guiding our future. (shrink)

Causal claims in biomedical contexts are ubiquitous albeit they are not always made explicit. This paper addresses the question of what causal claims mean in the context of disease. It is argued that in medical contexts causality ought to be interpreted according to the epistemic theory. The epistemic theory offers an alternative to traditional accounts that cash out causation either in terms of “difference-making” relations or in terms of mechanisms. According to the epistemic approach, causal claims tell us about which (...) inferences (e.g., diagnoses and prognoses) are appropriate, rather than about the presence of some physical causal relation analogous to distance or gravitational attraction. It is shown that the epistemic theory has important consequences for medical practice, in particular with regard to evidence-based causal assessment. (shrink)

It is widely acknowledged in the literature in social epistemology that knowledge has a social dimension: we are epistemically dependent upon one another for most of what we know. Our knowledge can be, and very often is, grounded on the epistemic achievement of somebody else. But what about epistemic aims other than knowledge? What about understanding? Prominent authors argue that understanding is not social in the same way in which knowledge is. Others can put us in the position to understand, (...) but when we understand something, this accomplishment is to be credited mainly if not entirely to us, as it is due to the successful exercise of our own cognitive abilities. In this paper, I show that the social dimension of understanding closely resembles the social dimension of knowledge. I distinguish between three different ways in which a subject can depend upon another subject for (either the acquisition or the possession of) a certain epistemic good. I then argue that all these kinds of epistemic dependence apply to knowledge and understanding alike. If I am right, understanding is not (always) an achievement to be (mainly) credited to the single epistemic agent who understands. (shrink)

Causal analysis in the social sciences takes advantage of a variety of methods and of a multi-fold source of information and evidence. This pluralistic methodology and source of information raises the question of whether we should accordingly have a pluralistic metaphysics and epistemology. This paper focuses on epistemology and argues that a pluralistic methodology and evidence don’t entail a pluralistic epistemology. It will be shown that causal models employ a single rationale of testing, based on the notion of variation. Further, (...) I shall argue that this monistic epistemology is also involved in alternative philosophical theories of causation. (shrink)

Mobile applications are increasingly regarded as important tools for an integrated strategy of infection containment in post-lockdown societies around the globe. This paper discusses a number of questions that should be addressed when assessing the ethical challenges of mobile applications for digital contact-tracing of COVID-19: Which safeguards should be designed in the technology? Who should access data? What is a legitimate role for “Big Tech” companies in the development and implementation of these systems? How should cultural and behavioural issues be (...) accounted for in the design of these apps? Should use of these apps be compulsory? What does transparency and ethical oversight mean in this context? We demonstrate that responses to these questions are complex and contingent and argue that if digital contract-tracing is used, then it should be clear that this is on a trial basis and its use should be subject to independent monitoring and evaluation. (shrink)

Is ChatGPT a good teacher? Or could it be? As understanding is widely acknowledged as one of the fundamental aims of education, the answer to these questions depends on whether ChatGPT fosters or could foster the acquisition of understanding in its users. In this paper, I tackle this issue in two steps. In the first part of the paper, I explore and analyze the set of skills and social-epistemic virtues that a teacher must exemplify to perform her job well – (...) in those contexts in which epistemic aims are at play and in which understanding plays a pivotal role. In the second part of the paper, I put my conception of good teacher to test and deal with the question whether, and to which extent, the software ChatGPT is (or could serve as, if suitably modified or fine-tuned) a good teacher for its users. I close with some final reflections that point to further directions of research. -/- . (shrink)

Journal of Social Philosophy, Volume 52, Issue 1, Page 72-91, Spring 2021.

Girls Laughters Solar Eclipse Output Solar Eclipse The programmatic ontology of our contemporary technical-information age is marked by a complicity with algorithmic architectures : new models of information processing evolving with the entropically-hiden complexities and open-ended contingencies of material evolution. Algorithms are abstractly-coordinated entities of “soft thought” sui generis. In fusing generative concreteness with abstract modelling – i. e. matter with information – - Galerie sonore – Nouvel article.

In a Mental Imagery Brain-Computer Interface the user has to perform a specific mental task that generates electroencephalography components, which can be translated in commands to control a BCI system. The development of a high-performance MI-BCI requires a long training, lasting several weeks or months, in order to improve the ability of the user to manage his/her mental tasks. This works aims to present the design of a MI-BCI combining mental imaginary and cognitive tasks for a severely motor impaired user, (...) involved in the BCI race of the Cybathlon event, a competition of people with severe motor disability. In the BCI-race, the user becomes a pilot in a virtual race game against up to three other pilots, in which each pilot has to control his/her virtual car by his/her mental tasks. We present all the procedures followed to realize an effective MI-BCI, from the user's first contact with a BCI technology to actually controlling a video-game through her EEG. We defined a multi-stage user-centered training protocol in order to successfully control a BCI, even in a stressful situation, such as that of a competition. We put a specific focus on the human aspects that influenced the long training phase of the system and the participation to the competition. (shrink)

This paper explores the implications of a Civil Economy approach to consumer ethics, by addressing the idea that Antonio Genovesi’s (1713–1769) notion of _mutual assistance_ can be understood in terms of _collective intentionality_ or _team reasoning_. I try to give reasons for this idea by a careful examination of Genovesi’s conception of social life and human agency and by reading it through the lens of team reasoning. I argue that this understanding of mutual assistance may imply broad constraints over agents’ (...) choices whenever they conflict with the good of society. Then I explore the implications of a mutual assistance approach to market ethics in a global society, where conflicting views of good and different group affiliations are possible. (shrink)

Based on a study of the oil and gas industry, this article examines how physical impacts of climate change become events that firms notice and interpret in a way that leads to an active response to adapt to these impacts. Theoretically, the study draws on the attention-based view to highlight the potential biases that might occur as a consequence of firms’ preconceptions as well as organizational structure and context. In the empirical analysis, the article derives a model that explains the (...) influence of the attentional process on how awareness and perceived vulnerability lead firms to adopt either routine or non-routine measures to adapt to climate change. The article also explores the relevant underlying factors of awareness and perceived vulnerability. The findings suggest that how firms channel attention to climate events has a distinctive influence on the measures firms take to cope with physical impacts. The article concludes with implications for research, management practice, and policy makers. (shrink)

This book systematically addresses the issue of assessing the normative nature of visions of emerging technologies in an epistemologically robust way. In the context of democratic governance of emerging technologies, not only it is important to reflect on technologies' moral significance, but also to address their emerging and future oriented character. The book proposes an original approach to deal with the issue of "plausible" ethical evaluation of new technologies. Taking its start from current debates about Technology Assessment, the proposed solution (...) emerges as a combination of theoretical and methodological insights from the fields of Philosophy of Technology, Science and Technology Studies and a normative justification based on pragmatist ethics. The book's main contribution is to engage a diverse and interdisciplinary audience (ethicists, philosophers, social scientists, technology assessment researchers and practitioners) in a reflection concerning the epistemological challenges that are associated to the endeavour of appraising the moral significance of emerging technologies in the attempt of democratically governing them. It brings together concepts and methodologies from different disciplines and shows their synergy in applying them to two specific case studies of emerging biomedical technologies. (shrink)

This book investigates the unresolved issue of democratic legitimacy in contexts of pervasive disagreement and contributes to this debate by defending a relational version of political liberalism that rests on the ideal of co-authorship. According to this proposal, democratic legitimacy depends upon establishing appropriate interactions among citizens who ought to ascribe to one another the status of putative practical and epistemic authorities. To support this relational reading of political liberalism, the book proposes a revised account of the civic virtue of (...) reasonableness along with an investigation of the epistemic-specific dimension of political equality. By engaging with political epistemology and social theory, this book explores ways to address inherent tensions within the liberal paradigm, using the following strategies of addressing these tensions: first, it defends a twofold model of legitimacy that distinguishes the goals, methodologies, and justificatory tasks of both ideal and nonideal phases of the two-level justificatory framework; second, it contends that democratic legitimacy requires an engaged and contextual critical appraisal of the injustices that characterize our daily social lives, illustrating how structural forms of injustice represent a profound betrayal of the liberal ideal of democratic legitimacy. (shrink)

This paper examines one aspect of the legacy of the Value-Free Ideal in conservation science: the view that measurements and metrics are value-free epistemic tools detached from ideological, ethical, social, and, generally, non-epistemic considerations. Contrary to this view, I will argue that traditional measurement practices entrenched in conservation are in fact permeated with non-epistemic values. I challenge the received view by revealing three non-epistemic assumptions underlying traditional metrics: (1) a human-environment demarcation, (2) the desirability of a people-free landscape, and (3) (...) the exclusion of cultural diversity from biodiversity. I also draw a connection between arguments for retaining traditional metrics to “scientific colonialism,” exemplified by a fortress conservation model. I conclude by advocating for abandoning the myth of the intrinsic value-freedom of measurement practices and embracing metrics aligned with societal and scientific goals. (shrink)

ABSTRACT The article critically discusses Rahel Jaeggi’s recent philosophical contribution to a critical theory of capitalism. The first part reconstructs Jaeggi’s account of Lebensform, life-form, that builds up the main ontological framework for addressing and problematizing capitalism intended not as an economic system but as a social whole. The second part focuses on the three different theoretical strategies that Jaeggi puts forward to detect and deal with capitalism’s immanent flaws. The third and last part problematizes the metaphysical assumptions and implications (...) of Jaeggi’s understanding of life-form and outlines a more dialectical, or “transactional” notion of form of life, which is inspired by Dewey’s non-reductionist naturalist method of inquiry. The overall aim is to strengthen the philosophical critique of the capitalist form of life. (shrink)

The paper examines definitions of ‘cause’ in the epidemiological literature. Those definitions all describe causes as factors that make a difference to the distribution of disease or to individual health status. In the philosophical jargon, causes in epidemiology are difference-makers. Two claims are defended. First, it is argued that those definitions underpin an epistemology and a methodology that hinge upon the notion of variation, contra the dominant Humean paradigm according to which we infer causality from regularity. Second, despite the fact (...) that causes be defined in terms of ‘difference-making’, this cannot fixes the causal metaphysics. Causality in epidemiology ought to be interpreted according to the epistemic theory. In this approach relations are deemed causal depending on the evidence and on the available methods. Indeed, evidence to establish causal claims requires difference-making considerations; furthermore, those definitions of cause reflect the ‘variational’ epistemology and methodology of epidemiology. (shrink)

Can we gain understanding from testifiers who themselves fail to understand? At first glance, this looks counterintuitive. How could a hearer who has no understanding or very poor understanding of a certain subject matter non-accidentally extract items of information relevant to understanding from a speaker’s testimony if the speaker does not understand what she is talking about? This paper shows that, when there are theories or representational devices working as mediators, speakers can intentionally generate understanding in their hearers by engaging (...) in relevant speech acts without understanding the topic of these speech acts themselves. More specifically, I argue that testifiers can intentionally elicit understanding of empirical phenomena in their hearers even if they themselves lack such understanding – granted that they properly understood the epistemic mediators involved. (shrink)

The notion of ‘causal web’ emerged in the epidemiological literature in the early Sixties and had to wait until the Nineties for a thorough critical appraisal. Famously, Nancy Krieger argued that such a notion isn’t helpful unless we specify what kind of spiders create the webs. This means, according to Krieger, (i) that the role of the spiders is to provide an explanation of the yarns of the web and (ii) that the sought spiders have to be biological and social. (...) This paper contributes to the development of the notion of causal web, elaborating on the two following points: (i) to catch the spiders we need multi-fold evidence—specifically, mechanistic and difference-making—and (ii) for the eco-social to be explanatory, the web has to be mechanistic in a sense to be specified. (shrink)

Causal assessment is the problem of establishing whether a relation between (variable) X and (variable) Y is causal. This problem, to be sure, is widespread across the sciences. According to accredited positions in the philosophy of causality and in social science methodology, invariance under intervention provides the most reliable test to decide whether X causes Y. This account of invariance (under intervention) has been criticised, among other reasons, because it makes manipulations on the putative causal factor fundamental for the causal (...) methodology; consequently, the argument goes, the account is ill-suited to those contexts where manipulations are not performed, for instance, the social sciences. The article aims to extend the account of invariance (under intervention), in a way that manipulations on the putative causal factors are not methodologically fundamental, and yet invariance remains key for causal assessment both in experimental and non-experimental contexts. (shrink)

My aim in this article is to investigate the epistemic dimension of reasonableness. In the last decades, the concept of reasonableness has been deeply analysed, and yet, I maintain that a strictly epistemic analysis of reasonableness is still lacking. The goal of this article is to clarify which epistemic features characterize reasonableness as one of the fundamental virtues in the political domain. In order to justify political liberalism through a public justification that averts the risk of falling into a dilemma, (...) it is important to establish in advance which are the epistemic constraints that should be respected. My proposal is that a moderate approach in moral epistemology expresses the best scheme available to us – as moral agents constrained by the limit of our rationality – for establishing a normatively binding, and yet realistic, procedure of justification for political institutions and practices. (shrink)

Estimating whether the Earth’s biota is in the middle of a crisis relies heavily on comparisons between present and past data about biodiversity or biodiversity surrogates. Although the past is a crucial source of information to assess the severity of the current biodiversity crisis, substantive conceptual and methodological questions remain about how paleodiversity and biodiversity are to be properly compared. I argue that to justify claims of a current biodiversity crisis is harder than it appears. More precisely, I claim that (...) paleodiversity measurements are incommensurable with contemporary measurements, given the different ways that biodiversity is conceptualized and operationalized. I conclude by proposing three possible ways of overcoming this incommensurability problem. (shrink)

A great part of human genetics research is carried out collecting data and building large databases of biological samples that are in a non-anonymous format. These constitute a valuable resource for future research. The construction of such databases and tissue banks facilitates important scientific progress. However, biobanks have been recognized as ethically problematic because they contain thousands of data that could expose individuals and populations to discrimination, stigmatization and psychological stress if misused. Informed consent is regarded as a cornerstone in (...) the protection of personal autonomy in research involving human subjects. Yet in recent years this fundamental concept has been overwhelmed by the genomic revolution. From a general overview of international literature, it seems evident that informed consent issues have come into sharp focus, in particular in relation to the twin issues of time extension (blanket versus specific/repeated consent) and personal extension (group consent). After an introduction on obtaining informed consent in the context of genetic research, this paper addresses the apparent lack of a single, universal model of obtaining informed consent among populations involved in genetic research and it argues for the need to develop an ethical framework tailored to the specific features of each project. In order to support this theory of contextualizing, the case of a private biotechnology company, SharDNA is presented. The present paper explores the management of its biobank, developed from a genetic research project carried out on isolated populations living on the Italian island of Sardinia. In particular, the paper highlights how the company is tackling the problem of informed consent and other ethical requirements for genetic research, such as the respect of individual privacy, the population approach and the existing Italian legal regulatory framework. (shrink)

Cet article propose de penser la question du genre à l’époque des Indépendances dans l’Amérique espagnole à la lumière de la question de la race. En raison de la forte relation entre race et genre à cette époque, souvent témoignée par les contemporains eux-mêmes, on s’appuiera sur les travaux récents sur les descendants des Africains pour montrer les moyens utilisés par les femmes pour réclamer leurs droits et transformer leur position dans la société. Si les femmes étaient en principe exclues (...) des droits de citoyenneté en raison de leur dépendance vis-à-vis du pater familias, elles utilisèrent cependant les nouveaux principes constitutionnels et les espaces de manœuvre laissés par les systèmes juridiques pour entamer des actions et revendiquer leurs droits. (shrink)

Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...) many assumptions about Big Data that permeate contemporary literature on information and society by locating instances where Big Data may be naively taken to denote objective and transparent informational entities. In this introduction to the Big Data & Society CDS special theme, we briefly describe CDS work, its orientations, and principles. (shrink)

Background Community involvement in research has been advocated by researchers, communities, regulatory agencies, and funders with the aim of reinforcing subjects’ protection and improving research efficiency. Community involvement also has the potential to improve dissemination, uptake, and implementation of research findings. The fields of community based participatory research conducted with indigenous populations and of participatory action research offer a large base of experience in community involvement in research. Rules on involving the population affected when conducting research have been established in (...) these fields. But what is the role of community engagement in clinical research and observational studies conducted in biomedical research outside of these specific areas? Main body of the abstract More than 20 years ago, in the field of HIV medicine, regulatory bodies and funding agencies recommended the constitution of a formal organism, the Community Advisory Board, as part of the study requirements for HIV trials. More recently, CABs have been adopted and used in other fields of medical research, such as malaria. CABs are not without limitations, however, and there is little research on the effectiveness of their use in achieving community protection and participation. Nevertheless, CABs could be a model to import into clinical trials and observational research where no alternative model of community representation is currently being used. Conclusions Allocating more resources to training and shifting more power to community representatives could be part of the solution to current CAB limitations. However, for researchers to be able to apply these recommendations on community involvement, certain conditions need to be met. In particular, funding agencies need to recognize the human and financial resources required for serious community involvement, and the academic environment needs to take community involvement into account when appraising, mentoring, and training researchers. (shrink)

Technologies have always been bearers of profound changes in science, society, and any other aspect of life. The latest technological revolution—the digital revolution—is no exception in this respect. This paper presents the revolution brought about by digital technologies through the lenses of a specific approach: the philosophy of information. It is argued that the adoption of an informational approach helps avoiding utopian or dystopian approaches to technology, both expressions of technological determinism. Such an approach provides a conceptual framework able to (...) address the ethical challenges that digital technologies pose, without getting stuck in the dichotomous thinking of technological determinism, and to bring together ethics, ontology, and epistemology into a coherent account. (shrink)

Mobile health is rapidly being implemented and changing our ways of doing, understanding and organising healthcare. mHealth includes wearable devices as well as apps that track fitness, offer wellness programmes or provide tools to manage chronic conditions. According to industry and policy makers, these systems offer efficient and cost-effective solutions for disease prevention and self-management. While this development raises many ethically relevant questions, so far mHealth has received only little attention in medical ethics. This paper provides an overview of bioethical (...) issues raised by mHealth and aims to draw scholarly attention to the ethical significance of its promises and challenges. We show that the overly positive promises of mHealth need to be nuanced and their desirability critically assessed. Finally, we offer suggestions to bioethicists to engage with this emerging trend in healthcare to develop mHealth to its best potential in a morally sound way. (shrink)