The COVID-19 pandemic is an unprecedented event entailing long-term consequences on population health and welfare. Those who contracted the coronavirus may have suffered from both physical and mental health issues that unfold the need for tailored intervention strategies. Hence, our study aims to investigate the psychological and social consequences of COVID-19 on a sample of 86 participants, encompassing 43 patients recruited from Bari University Hospital, 19 of whom were hospitalized due to the disease. The remaining 43 were individuals not fallen (...) ill with COVID-19 to date. The investigation yielded significant gender differences in post-traumatic stress symptoms, depression, and representation of interpersonal distance, evaluated through the IES-R, the BDI-II, and the IVAS task, respectively. This pattern of results was not replicated in the control group. In general, participants who reported having experienced the most intense post-traumatic symptoms also presented a greater mood deflection and, more specifically, within the clinical group women obtained the highest scores on both scales. Women reported higher IES-R and BDI-II scores compared to men, that could indicate that women who have contracted COVID-19 are more exposed to post-traumatic and depressive symptoms. Our results also showed a significant effect of COVID-19 on IPD with a tendency of disease-experienced individuals to increase their preferred IPD from adults, children, and elderly people. Regarding gender differences in mood and proxemic behavior, a correlation between depressive symptoms and probable PTSD and a further correlation between probable PTSD and greater IPD were found in women from both clinical and control group. Overall, these findings might contribute to a better understanding of gender-based implications of the current pandemic on mental health, also leading to the development of integrated yet personalized intervention strategies. (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)

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)

Scientific realism, roughly, is the view that successful scientific theories are (at least partially or approximately) true. Is this the most reasonable stance to assume towards science? The no-miracle argument says it is: the stunning empirical success of our scientific theories is in need of an explanation, and (partial or approximate) truth seems to be the best explanation that we have at hand. The aim of this paper is to briefly reconstruct the trajectory of the success–to–truth inference, to critically analyse (...) it in its latest formulation, and to sketch a possible way to go in order to make it a safer inference. (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)

C’è una tensione all’interno del sistema di Quine: il suo realismo ci porta a credere che la realtà debba essere così come le nostre migliori teorie dicono che sia, ma i suoi assunti semantici – cioè la sua maniera di concepire le dinamiche del significare e del riferirsi ad oggetti – ci gettano in uno stato di incertezza radicale attorno a ciò che vale come oggetto delle nostre teorie. Questo libro si propone di allentare tale tensione, scandagliando il dominio di (...) questa incertezza e mettendone in luce i confini, con il fine di mostrare come la forma di realismo più consona a Quine sia un realismo che guardi non ad oggetti singolarmente denotati da termini, ma alla maniera in cui gli oggetti sono interrelati, alle strutture che in sistemi di oggetti sono realizzate. (shrink)

Beatrice Erskine Lane Suzuki (1878–1939) is mainly known for being the wife of D.T. Suzuki鈴木大拙 (1870–1966), the Japanese religious studies scholar and intellectual who promoted the popularization of Buddhism in the Western world. However, she was also an active researcher and prolific writer in the same field, boasting deep theoretical and practical knowledge of the subject and an original, brilliant interpretative style. Her research led her to appreciate and assimilate cultural values quite different from those of her Scottish and American (...) background influenced by Catholicism. The fact that she left her homeland to research an entirely different culture was what she had in common with Albert Schweitzer (1875–1965), her contemporary and eclectic intellectual and philosopher who left Alsace to engage in religious and anthropological studies in Africa. Although she dedicated numerous enthusiastic reflections to Schweitzer in her writings, those refuting Schweitzer's theories assume great relevance. In his comparison between Western and Eastern spirituality, Schweitzer fiercely attacked the latter, expressing the absolute superiority of the Christian doctrine, which he fervently supported. Lane, on the contrary, was strongly fascinated by Buddhism, and found in it a source of faith and a creed to live by. This article aims to retrace the analysis made by both authors to outline their different perspectives, despite their shared cultural background. (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)

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)

This article reconfigures Merleau-Ponty’s “Problem of Passivity” into the potential of passivity. It contributes to Claude Lefort’s strong claims that Merleau-Ponty’s Passivity course from 1954-1955 published in the volume of course notes Institution and Passivity provides an «attack against the root of modern ontology», and that the phenomenon of passivity has largely been «neglected by most philosophers». Reflected in these assertions is a 21st century perspective on Merleau-Ponty’s work, with relevance to current performative, corporeal and political reworkings of phenomenology. The (...) article's aim is to chart how Merleau-Ponty’s work on passivity, sleep and the unconscious represents a powerful critique of the Husserlian intentional model and the phenomenological concept of constitution, at the same time as opening potential for viewing consciousness as plural, culturally situated and diffracted. (shrink)

In this book I address the widely debated topic of the legitimacy of democratic decisions showing that the traditional concept of the legitimacy of political authority developed by liberal theories involves dilemmatic outcomes. In order to solve this intrinsic tension of the liberal model of legitimacy, I argue that the legitimacy of political decisions must be granted with a two steps strategy that involves both ideal and non-ideal analysis. Starting from the models developed by John Rawls and Gerald Gaus, I (...) build up my own paradigm, claiming that, pace Rawls, it is not possible to do away with an epistemic analysis of the actual circumstances of justification. I look at the epistemology of disagreement literature in order to build up an epistemic and procedural framework in which it could be shown that disagreement is not a practical obstacle that prevents participants from agreeing on virtually correct solutions; rather, it is exactly in virtue of the fact of disagreement that democracy is the best method for collective decisions. The heart of this proposal is that given certain epistemic circumstances (i.e. pervasive disagreement due to an opaque appraisal of evidence), it is possible to argue that participants within a collective decision-making setting should refer to each other as epistemic peers. This normative request inherits its value from a shared understanding of persons as being on an equal footing and capable of reasoning powers. This reading of political equality implies two related features of peerhood. One is the proceduralist tenet that equality is a non-instrumental value that should be expressed by the fact that any voice, in the political arena, should be given equal weight. The second is the idea that, assumed the fact of pluralism, citizens should be ready to share both practical and epistemic authority while publicly debating over evaluative matters. In the second part of the book I argue that democratic procedures of decision-making, in order to actually respect members of society as equal peers, and in the attempt to solve the dilemmatic outcomes of public reason models of legitimacy, should look at political agreements achieved through compromise rather than consensus. In fact, an overly idealized approach to collective-choice procedures may lose track of actual decision-making processes (lack of guidance). Moreover, seeking consensus, through the establishment of deliberative standards that some individuals or groups have less opportunities than others to fulfil may engender exclusion and inequality (lack of inclusion). Accordingly, I suggest that deliberative constraints should be loosened to include partisan and interested claims and to pursue principled compromises rather than consensual agreement. According to the model of legitimacy I defend, a normative account of democracy cannot rely on standards that could be only applied in an ideal context, otherwise this attempt will be doomed to fail in two ways: 1) delegitimizing actual democratic decision-making processes and 2) undermining the actual possibility to implement decisions reached through deliberation in real contexts. (shrink)

To deal with the question about the ethic monitoring of the Brain Interfaces Machine this article analyses the potential impact of BMI on the conditions which guarantee a status of personal identity, by re-discussing some crucial points of the philosophical debate about the human being related to the ways of improving these BMI systems. It is under discussion the matter of the autonomy of human beings related to mutual control between humans and machines in BMI systems.

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.

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)

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)

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)

Manipulationism holds that information about the results of interventions is of utmost importance for scientific practices such as causal assessment or explanation. Specifically, manipulation provides information about the stability, or invariance, of the relationship between X and Y: were we to wiggle the cause X, the effect Y would accordingly wiggle and, additionally, the relation between the two will not be disrupted. This sort of relationship between variables are called 'invariant empirical generalisations'. The paper focuses on questions about causal assessment (...) and analyses the status of manipulation. It is argued that manipulationism is trapped in a dilemma. If manipulationism is read as providing a conceptual analysis of causation, then it fails to provide a story about the methods for causal assessment. If, instead, manipulationism is read as providing a method for causal assessment, then it is at an impasse concerning causal assessment in areas where manipulations are not performed. Empirical generalisations are then reassessed, in such a way that manipulation is not taken as methodologically fundamental. The paper concludes that manipulation is the appropriate tool for some scientific contexts, but not for all. (shrink)

BackgroundThe measures taken to contain the coronavirus disease 2019 pandemic, such as the lockdown in Italy, do impact psychological health; yet, less is known about their effect on cognitive functioning. The transactional theory of stress predicts reciprocal influences between perceived stress and cognitive performance. However, the effects of a period of stress due to social isolation on spatial cognition and exploration have been little examined. The aim of the present study was to investigate the possible effects and impact of the (...) COVID-19 pandemic on spatial cognition tasks, particularly those concerning spatial exploration, and the physiological leftward bias known as pseudoneglect. A right-hemisphere asymmetry for spatial attention processes crucially contributes to pseudoneglect. Other evidence indicates a predominantly right-hemisphere activity in stressful situations. We also analyzed the effects of lockdown on coping strategies, which typically show an opposite pattern of hemispheric asymmetry, favoring the left hemisphere. If so, then pseudoneglect should increase during the lockdown and be negatively correlated with the efficacy of coping strategies.MethodsOne week before the start of the lockdown due to COVID-19 in Italy, we had collected data from a battery of behavioral tests including tasks of peri-personal spatial cognition. During the quarantine period, from late April to early May 2020, we repeated the testing sessions with a subgroup of the same participants. At both testing sessions, participants performed digitized neuropsychological tests, including a Cancellation task, Radial Arm Maze task, and Raven’s Advanced Progressive Matrices. Participants also completed a newly developed COVID-19 Student Stress Scale, based on transactional models of stress, and the Coping Orientation to Problems Experienced—New Italian Version to assess coping orientation.ResultsThe tendency to start cancelation from a left-sided item, to explore first a left-sided arm of the maze, and to choose erroneous response items on the left side of the page on Raven’s matrices increased from T1 to T2. The degree of pseudoneglect increment positively correlated with perceived stress and negatively correlated with Positive Attitude and Problem-Solving COPE-NIV subscales.ConclusionLockdown-related stress may have contributed to increase leftward bias during quarantine through a greater activation of the right hemisphere. On the other hand, pseudoneglect was decreased for better coping participants, perhaps as a consequence of a more balanced hemispheric activity in these individuals. (shrink)

In this article I will show that the problem of embodiment goes back to the question of the mind-body split, as this has been established and discussed by the philosophical tradition. With the digital turn and the advent of ubiquitous computing the problem of embodiment has taken new forms that have led scholars to introduce the notion of a “new digital Cartesianism.” Subjectivation processes within digital culture have mostly been explained by resorting to what I will call the “E-D-R scheme,” (...) which assumes that a real detachment between the body and the mind really occurs in digital processes. Since—as I will show—this is not actually the case, I will suggest replacing this epistemological scheme with a new one, which I will call the “double-embodiment scheme,” in order to acquire a more fitting epistemological account of the underlying digital ontology. Finally, I will discuss the distinction between bodily extension and the incorporation of non-bodily objects introduced by Helena De Preester in order to show that, in the digital realm, this distinction is much more blurred and complex than she acknowledges: digital interaction requires both bodily extension and the incorporation of objects as complementary processes. (shrink)

How should probabilities be interpreted in causal models in the social and health sciences? In this paper we take a step towards answering this question by investigating the case of cancer in epidemiology and arguing that the objective Bayesian interpretation is most appropriate in this domain.

Die traditionelle Erkenntnistheorie beschäftigte sich vor allem mit drei großen Fragen. (i) Was ist Wissen? (ii) Ist Wissen möglich und in welchen Bereichen und in welchem Umfang können wir es, wenn überhaupt, erwerben? (iii) Was sind die Quellen des Wissens, und spielen womöglich einige von ihnen (etwa Wahrnehmung oder Introspektion) eine besondere Rolle für die Fundierung epistemischer Systeme? Neben der Einbeziehung sozialer Wissensquellen in die Behandlung von Frage (iii) ist in den letzten zwei Jahrzehnten auch ein weiteres Thema in den (...) Fokus erkenntnistheoretischer Debatten gerückt. Wir streben nach Wissen und versuchen, es zu erhalten und zu vermehren. Wenn wir einer Person Wissen zuschreiben, so schwingen außerdem oft Anerkennung, gar Lob oder Bewunderung mit, Einstellungen, die wir Überzeugungen, die kein Wissen sind, vielfach versagen. Nicht zuletzt die anhaltende Beschäftigung der Philosophie selbst seit Platon mit den Fragen (i) bis (iii) scheint zu zeigen, dass wir Wissen als ein wertvolles Gut betrachten. Eine weitere wichtige epistemologische Frage lautet daher (iv): Worin liegt der besondere Wert des Wissens? (shrink)

The advantage of examining causality from the perspective of modelling is thus that it puts us naturally closer to the practice of the sciences. This means being able to set up an interdisciplinary dialogue that contrasts and compares modelling practices in different fields, say economics and biology, medicine and statistics, climate change and physics. It also means that it helps philosophers looking for questions that go beyond the narrow ‘what-is-causality’ or ‘what-are-relata’ and thus puts causality right at the centre of (...) a complex crossroad: epistemology/methodology, metaphysics, politics/ethics. This special issue collects nine papers that touch upon various scientific fields, from system biology to medicine to quantum mechanics to economics, and different questions, from explanation and prediction to the role of both true and false assumptions in modelling. (shrink)

This work develops different contributions that challenge the epistemological classic notions to dividing fields of knowing in those who are susceptible of being studied and learnt and those who are not, beyond the knowledge considered as such by the Academy or by certain hegemony of knowledge. We propose some perspectives that question this dichotomy and the notion of totality as its basis, as for example, intercultural philosophy, from Raúl Fornet-Betancourt; the rupture like a function of the concept itself, analyzed by (...) Arturo Roig; the consciousness of world product of the simultaneity proposed by Alexander Von Humboldt and finally the notion of the abysmal developed by Boaventura de Sousa Santos. These perspectives contribute to think an "epistemology of the South". However, we expect here to advance from that notion to other, that is postulated as an 'anthropophagic epistemology". So some basic knowledge of the Brazilian avant-garde movement of the 1920s are developed in order to pave the way in the consolidation of this new epistemological perspective. (shrink)

The Thing about Thugs (2010) a novel by Tabish Khair set between London and the Indian region of Bihar, the end of 1830’s and contemporary age, reflects on the relationship regarding the transmission of knowledge and the construction of the colonial criminal. I investigate how Khair, in his neo-Victorian and postcolonial novel, recalls canonical works of Victorian Literature in which thugs, together with other spectral, haunting figures, enter British territory to tell a different version of the official stories, to change (...) the course of the events and uncover truths regarding things happened overseas, during British colonial adventures. Starting from Meadows Taylor’s Confessions of a Thug, to which the novel is strictly connected, it will be interesting to follow Khair’s itinerary across the different narratives of the Thug’s symbolic, political and social meanings in mid- and late Victorian times, from Dickens’s The Mystery of Edwin Drood to Wilkie Collins’s The Moonstone and Conan Doyle’s The Sign of Four and The Mystery of Cloomber. (shrink)

The need for fair and just AI is often related to the possibility of understanding AI itself, in other words, of turning an opaque box into a glass box, as inspectable as possible. Transparency and explainability, however, pertain to the technical domain and to philosophy of science, thus leaving the ethics and epistemology of AI largely disconnected. To remedy this, we propose an integrated approach premised on the idea that a glass-box epistemology should explicitly consider how to incorporate values and (...) other normative considerations, such as intersectoral vulnerabilities, at critical stages of the whole process from design and implementation to use and assessment. To connect ethics and epistemology of AI, we perform a double shift of focus. First, we move from trusting the output of an AI system to trusting the process that leads to the outcome. Second, we move from expert assessment to more inclusive assessment strategies, aiming to facilitate expert and non-expert assessment. Together, these two moves yield a framework usable for experts and non-experts when they inquire into relevant epistemological and ethical aspects of AI systems. We dub our framework ‘epistemology-cum-ethics’ to signal the equal importance of both aspects. We develop it from the vantage point of the designers: how to create the conditions to internalize values into the whole process of design, implementation, use, and assessment of an AI system, in which values (epistemic and non-epistemic) are explicitly considered at each stage and inspectable by every salient actor involved at any moment. (shrink)

Structural realism à-la-Worrall is the view that inasmuch as our scientific theories provide us with (partially) adequate descriptions of an objective and independent reality, they do so by shedding light on the way this reality is in itself structured, and not on the so-called nature of existing objects. This position seems to imply that there is something about reality that lies beyond our grasp. I will reconstruct and shed new light onto Worrall’s position and show that, contrary to how it (...) might appear at first sight, its allegedly negative, or pessimist stance has a positive side: by placing a constraint on our (theoretically mediated) knowledge, structural realism might tell us something relevant about the nature and functioning of our scientific understanding of the world. The paper is divided in three parts. The first part is devoted to a brief reconstruction of Worrall’s position. In the second part, I propose a new reading of the position in question by uncovering, highlighting and developing its epistemological consequences. In the last part, I investigate and scrutinize the connection between understanding and structures. The overall aim is to show how Worrall’s structural realism, especially in the reading I am proposing here, may provide us with a plausible explanation of the epistemic value of past and actual scientific theories. (shrink)

Economies - and the government institutions that support them - reflect a moral and political choice, a choice we can make and remake. Since the dawn of industrialization and democratization in the late eighteenth century, there has been a succession of political economic frameworks, reflecting changes in technology, knowledge, trade, global connections, political power, and the expansion of citizenship. The challenges of today reveal the need for a new moral political economy that recognizes the politics in political economy. It also (...) requires the redesign of our social, economic, and governing institutions based on assumptions about humans as social beings rather than narrow self-serving individualists. This Element makes some progress toward building a new moral political economy by offering both a theory of change and some principles for institutional design. (shrink)

Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disciplines, ranging from epidemiology to biology, from econometrics to physics, make use of probability and statistics to infer causal relationships. The social and health sciences analyse population-level data using statistical methods to infer average causal relations. In diagnosis of disease, probabilistic statements are based on population-level causal knowledge combined with knowledge of a particular person’s symptoms. For the physical sciences, the Salmon-Dowe account develops an (...) analysis of causation based on the notion of process and interaction. In artificial intelligence, the development of graphical methods has leant impetus to a probabilistic analysis of causality. The biological sciences use probabilistic methods to look for evolutionary causes of the state of a current species and to look for genetic causal factors. This variegated situation raises at least two fundamental philosophical issues: about the relation between causality and probability, and about the interpretation of probability in causal analysis. In this book we bring philosophers and scientists together to discuss the relation between causality and probability, and the applications of these concepts within the sciences. (shrink)