I argue that different argumentative practices require participants to categorize themselves in different modes. Accordingly, I distinguish four types of argumentation: _rational argumentation,_ _intergroup argumentation_, _intragroup argumentation_, and, finally, _personal argumentation_. An inescapable implication of my approach to deliberation is that deliberation presupposes the self-categorization of participants in the same ingroup. Deliberation does not require, however, the group to antecede the deliberation process, and a distinctive feature of successful public deliberation is its capacity to produce social identification with the deliberative (...) group. Thus, identity negotiation is an important part of deliberative processes. (shrink)

In this paper we present a new proposal for defining actual causation, i.e., the problem of deciding if one event caused another. We do so within the popular counterfactual tradition initiated by Lewis, which is characterised by attributing a fundamental role to counterfactual dependence. Unlike the currently prominent definitions, our approach proceeds from the ground up: we start from basic principles, and construct a definition of causation that satisfies them. We define the concepts of counterfactual dependence and production, and put (...) forward principles such that dependence is an unnecessary but sufficient condition for causation, whereas production is an insufficient but necessary condition. The resulting definition of causation is a suitable compromise between dependence and production. Every principle is introduced by means of a paradigmatic example of causation. We illustrate some of the benefits of our approach with two examples that have spelled trouble for other accounts. We make all of this formally precise using structural equations, which we extend with a timing over all events. (shrink)

The counterfactual tradition to defining actual causation has come a long way since Lewis started it off. However there are still important open problems that need to be solved. One of them is the (in)transitivity of causation. Endorsing transitivity was a major source of trouble for the approach taken by Lewis, which is why currently most approaches reject it. But transitivity has never lost its appeal, and there is a large literature devoted to understanding why this is so. Starting from (...) a survey of this work, we will develop a formal analysis of transitivity and the problems it poses for causation. This analysis provides us with a sufficient condition for causation to be transitive, a sufficient condition for dependence to be necessary for causation, and several characterisations of the transitivity of dependence. Finally, we show how this analysis leads naturally to several conditions a definition of causation should satisfy, and use those to suggest a new definition of causation. (shrink)

The foundations of analysis offered by Cauchy and Riemann were not immediately welcomed by the mathematical community. Before 1870 the foundations of mathematics were considered more or less a national affair. In this paper, Dutch ideas of rigour in analysis between 1840 and 1870 will be discussed. These ideas show that Dutch mathematicians were aware of developments abroad but preferred the concept of infinitesimals as a foundation of mathematics.

The ethical concerns regarding the successful development of an Artificial Intelligence have received a lot of attention lately. The idea is that even if we have good reason to believe that it is very unlikely, the mere possibility of an AI causing extreme human suffering is important enough to warrant serious consideration. Others look at this problem from the opposite perspective, namely that of the AI itself. Here the idea is that even if we have good reason to believe that (...) it is very unlikely, the mere possibility of humanity causing extreme suffering to an AI is important enough to warrant serious consideration. This paper starts from the observation that both concerns rely on problematic philosophical assumptions. Rather than tackling these assumptions directly, it proceeds to present an argument that if one takes these assumptions seriously, then one has a moral obligation to advocate for a ban on the development of a conscious AI. (shrink)

Pearl opened the door to formally defining actual causation using causal models. His approach rests on two strategies: first, capturing the widespread intuition that X = x causes Y = y iff X = x is a Necessary Element of a Sufficient Set for Y = y, and second, showing that his definition gives intuitive answers on a wide set of problem cases. This inspired dozens of variations of his definition of actual causation, the most prominent of which are due (...) to Halpern & Pearl. Yet all of them ignore Pearl’s first strategy, and the second strategy taken by itself is unable to deliver a consensus. This paper offers a way out by going back to the first strategy: it offers six formal definitions of causal sufficiency and two interpretations of necessity. Combining the two gives twelve new definitions of actual causation. Several interesting results about these definitions and their relation to the various Halpern & Pearl definitions are presented. Afterwards the second strategy is evaluated as well. In order to maximize neutrality, the paper relies mostly on the examples and intuitions of Halpern & Pearl. One definition comes out as being superior to all others, and is therefore suggested as a new definition of actual causation. (shrink)

Necessary and sufficient conditions ofinvariance on four-vectors under the Poincaré group E(3, 1) and its subgroups are exploited. As an example the Euclidean group in three dimensions and its subgroups are explicitly considered. Their invariant “potentials” are systematically derived.

Andreas & Günther have recently proposed a difference-making definition of actual causation. In this paper I show that there exist conclusive counterexamples to their definition, by which I mean examples that are unacceptable to everyone, including AG. Concretely, I show that their definition allows c to cause e even when c is not a causal ancestor of e. I then proceed to identify their non-standard definition of causal models as the source of the problem, and argue that there is no (...) viable strategy open to AG to fixing it. I conclude that their definition of causation is damaged beyond repair. (shrink)

Although standard Machine Learning models are optimized for making predictions about observations, more and more they are used for making predictions about the results of actions. An important goal of Explainable Artificial Intelligence (XAI) is to compensate for this mismatch by offering explanations about the predictions of an ML-model which ensure that they are reliably action-guiding. As action-guiding explanations are causal explanations, the literature on this topic is starting to embrace insights from the literature on causal models. Here I take (...) a step further down this path by formally defining the causal notions of sufficient explanations and counterfactual explanations. I show how these notions relate to (and improve upon) existing work, and motivate their adequacy by illustrating how different explanations are action-guiding under different circum- stances. Moreover, this work is the first to offer a formal definition of actual causation that is founded entirely in action-guiding explanations. Although the definitions are motivated by a focus on XAI, the analysis of causal explanation and actual causation applies in general. I also touch upon the significance of this work for fairness in AI by showing how actual causation can be used to improve the idea of path-specific counterfactual fairness. (shrink)

The ethical concerns regarding the successful development of an Artificial Intelligence have received a lot of attention lately. The idea is that even if we have good reason to believe that it is very unlikely, the mere possibility of an AI causing extreme human suffering is important enough to warrant serious consideration. Others look at this problem from the opposite perspective, namely that of the AI itself. Here the idea is that even if we have good reason to believe that (...) it is very unlikely, the mere possibility of humanity causing extreme suffering to an AI is important enough to warrant serious consideration. This paper starts from the observation that both concerns rely on problematic philosophical assumptions. Rather than tackling these assumptions directly, it proceeds to present an argument that if one takes these assumptions seriously, then one has a moral obligation to advocate for a ban on the development of a conscious AI. (shrink)

Unlike nonhuman primates, thousands of bird species have articulatory capabilities that equal or surpass those of humans, and they develop their vocalizations through vocal imitation in a way that is very similar to how human infants learn to speak. An understanding of how speech mechanisms have evolved is therefore unlikely to yield key insights into how the human brain is special.

Vox pops are a frequent and growing practice in the news. However, there seems to be a general tendency in journalistic practice to be quite critical about these interviews with the ordinary man on the street. Yet, hardly any research exists about journalists’ evaluation of vox pops or that has gone further than speculating about why they are used. This study tackles these research gaps using a survey involving 253 Belgian journalists. We conclude that vox pops are used mostly by (...) audiovisual journalists, and that journalists seem to use them mostly because vox pops increase audience involvement with a news item. Generally, the journalists are quite negative about vox pops, but journalists who perceive them as involving and good public opinion tools are more positive. Against our expectations, the experience of journalists does not influence the evaluation nor the use of vox pops. (shrink)

As more and more decisions that have a significant ethical dimension are being outsourced to AI systems, it is important to have a definition of moral responsibility that can be applied to AI systems. Moral responsibility for an outcome of an agent who performs some action is commonly taken to involve both a causal condition and an epistemic condition: the action should cause the outcome, and the agent should have been aware -- in some form or other -- of the (...) possible moral consequences of their action. This paper presents a formal definition of both conditions within the framework of causal models. I compare my approach to the existing approaches of Braham and van Hees (BvH) and of Halpern and Kleiman-Weiner (HK). I then generalize my definition into a degree of responsibility. (shrink)

Causal models have proven extremely useful in offering formal representations of causal relationships between a set of variables. Yet in many situations, there are non-causal relationships among variables. For example, we may want variables LDL, HDL, and TOT that represent the level of low-density lipoprotein cholesterol, the level of lipoprotein high-density lipoprotein cholesterol, and total cholesterol level, with the relation LDL+HDL=TOT. This cannot be done in standard causal models, because we can intervene simultaneously on all three variables. The goal of (...) this paper is to extend standard causal models to allow for constraints on settings of variables. Although the extension is relatively straightforward, to make it useful we have to define a new intervention operation that disconnects a variable from a causal equation. We give examples showing the usefulness of this extension, and provide a sound and complete axiomatization for causal models with constraints. (shrink)

A Correction to this paper has been published: https://doi.org/10.1007/s10992-021-09632-6.

As autonomous systems rapidly become ubiquitous, there is a growing need for a legal and regulatory framework to address when and how such a system harms someone. There have been several attempts within the philosophy literature to define harm, but none of them has proven capable of dealing with with the many examples that have been presented, leading some to suggest that the notion of harm should be abandoned and "replaced by more well-behaved notions". As harm is generally something that (...) is caused, most of these definitions have involved causality at some level. Yet surprisingly, none of them makes use of causal models and the definitions of actual causality that they can express. In this paper we formally define a qualitative notion of harm that uses causal models and is based on a well-known definition of actual causality (Halpern, 2016). The key novelty of our definition is that it is based on contrastive causation and uses a default utility to which the utility of actual outcomes is compared. We show that our definition is able to handle the examples from the literature, and illustrate its importance for reasoning about situations involving autonomous systems. (shrink)

The Belgian Auditor's Office is not competent to judge good management. Parliamentary initiatives have been taken to extend its competence towards an efficiency, effectiveness and economy control. Up till 1985 the Belgian budget was drawn up according toa classification system with insufficient regard for the application ofmanagement objectives to budgetary allocation. Based on notions originating from the P.P.B.S. system the budget is drawn up now by programmes assigned to organisation divisions. In the future the parliamentary budget procedure could be transformed (...) into a ratification of the General Budget of Expenses and a supervision of the execution of the departmental budgets. The General Budget will contain the programmes. A similar system offers the external controller a better management and control instrument.An efficiency control exists in various farms in Germany, Great-Britain, Ireland, the Netherlands, France, Spain and Canada. The European Auditor's Office evaluates good financial management too. (shrink)

We consider a sequence of successively more restrictive definitions of abstraction for causal models, starting with a notion introduced by Rubenstein et al. (2017) called exact transformation that applies to probabilistic causal models, moving to a notion of uniform transformation that applies to deterministic causal models and does not allow differences to be hidden by the "right" choice of distribution, and then to abstraction, where the interventions of interest are determined by the map from low-level states to high-level states, and (...) strong abstraction, which takes more seriously all potential interventions in a model, not just the allowed interventions. We show that procedures for combining micro-variables into macro-variables are instances of our notion of strong abstraction, as are all the examples considered by Rubenstein et al. (shrink)

"Eva Besnyö was not only an exceptionally gifted photographer but was also politically active during her lifetime: she acquired her photographic skills in the studio of József Pécsi in Budapest, became aware of the aesthetics of modern photography in the early 1930s in Berlin and became a respected master photographer in Amsterdam. Eva Besnyö's life and work were not only influenced by Modernism the arts but also by the dramatic political movements and events of 20th century Europe such as Fascism, (...) National Socialism, immigration and persecution. By the time the Hungarian-Jewish photographer arrived Berlin in 1930, she had made the two most momentous decisions of life: to make photography her profession and to leave Fascist Hungary forever. Modern art was a passion for her. She produced true masterpieces with her Rolleiflex during her expeditions around Berlin. When Besnyö immigrated to Amsterdam in 1932, she was one of the outstanding representatives of "New Photography" together with László Moholy-Nagy and Erwin Blumenfeld: her portraits, architectural views and landscapes have retained their intensity to this day. She worked as a photographer until the 1980s, and among her other roles as a chronicler of the "Dolle Mina" feminist movement. In the 1990s she won prestigious awards Germany and The Netherlands for her outstanding body of work."--Publisher's website. (shrink)

The aim of this paper is to offer the first systematic exploration and definition of equivalent causal models in the context where both models are not made up of the same variables. The idea is that two models are equivalent when they agree on all "essential" causal information that can be expressed using their common variables. I do so by focussing on the two main features of causal models, namely their structural relations and their functional relations. In particular, I define (...) several relations of causal ancestry and several relations of causal sufficiency, and require that the most general of these relations are preserved across equivalent models. (shrink)

Le rôle des mathématiques dans la formation des officiers de l’armée néerlandaise, a profondément changé pendant le premier xixe siècle avec la fondation de l’Académie militaire en 1828. Les mathématiques étaient au centre de la formation. L’Académie était un des lieux les plus importants de diffusion des connaissances mathématiques aux Pays-Bas pendant la première moitié du xixe siècle, mais elle a perdu ce rôle pendant les années 1860-1870. Dans cet article, je me propose d’examiner à la fois les programmes de (...) l’Académie et le rôle central des enseignants de mathématiques de l’Académie dans la Société Mathématique néerlandaise et dans l’Académie royale des Sciences. Par ailleurs, l’évolution des mathématiques, visible dans ces deux institutions dans les années 1850, n’a pas entraîné une adaptation des programmes au sein de l’Académie. Ainsi, à partir de 1870, l’Académie a presque complètement disparu de la vie mathématique des Pays-Bas. The role of mathematics in the education of Dutch army officers changed dramatically in the early 19th century. This shift became visible with the founding of the Dutch Royal Military Academy in 1828, which shows the role of mathematics in military education shifting toward a purely pedagogical function. This change in approach, which primarily occurred in 1860’s, affected the standing and perception of an academy once highly respected in the field of mathematics. In the present work, I examine both the curricula at the Academy and the crucial role of the Academy’s mathematics instructors in the Dutch Mathematical Society and the Royal Academy of Sciences. Importantly, these two institutions managed to successfully adapt to the changing character of mathematical sciences that occurred around 185 Mathematicians at the Royal Military Academy, however, appeared to cling to an outdated view of mathematics. Failing to update their approach ultimately caused the Academy to lose its once prominent place in the Dutch mathematical community. (shrink)

Le rôle des mathématiques dans la formation des officiers de l’armée néerlandaise, a profondément changé pendant le premier xixe siècle avec la fondation de l’Académie militaire en 1828. Les mathématiques étaient au centre de la formation. L’Académie était un des lieux les plus importants de diffusion des connaissances mathématiques aux Pays-Bas pendant la première moitié du xixe siècle, mais elle a perdu ce rôle pendant les années 1860-1870. Dans cet article, je me propose d’examiner à la fois les programmes de (...) l’Académie et le rôle central des enseignants de mathématiques de l’Académie dans la Société Mathématique néerlandaise et dans l’Académie royale des Sciences. Par ailleurs, l’évolution des mathématiques, visible dans ces deux institutions dans les années 1850, n’a pas entraîné une adaptation des programmes au sein de l’Académie. Ainsi, à partir de 1870, l’Académie a presque complètement disparu de la vie mathématique des Pays-Bas. The role of mathematics in the education of Dutch army officers changed dramatically in the early 19th century. This shift became visible with the founding of the Dutch Royal Military Academy in 1828, which shows the role of mathematics in military education shifting toward a purely pedagogical function. This change in approach, which primarily occurred in 1860’s, affected the standing and perception of an academy once highly respected in the field of mathematics. In the present work, I examine both the curricula at the Academy and the crucial role of the Academy’s mathematics instructors in the Dutch Mathematical Society and the Royal Academy of Sciences. Importantly, these two institutions managed to successfully adapt to the changing character of mathematical sciences that occurred around 185 Mathematicians at the Royal Military Academy, however, appeared to cling to an outdated view of mathematics. Failing to update their approach ultimately caused the Academy to lose its once prominent place in the Dutch mathematical community. (shrink)

Le rôle des mathématiques dans la formation des officiers de l’armée néerlandaise, a profondément changé pendant le premier xixe siècle avec la fondation de l’Académie militaire en 1828. Les mathématiques étaient au centre de la formation. L’Académie était un des lieux les plus importants de diffusion des connaissances mathématiques aux Pays-Bas pendant la première moitié du xixe siècle, mais elle a perdu ce rôle pendant les années 1860-1870. Dans cet article, je me propose d’examiner à la fois les programmes de (...) l’Académie et le rôle central des enseignants de mathématiques de l’Académie dans la Société Mathématique néerlandaise et dans l’Académie royale des Sciences. Par ailleurs, l’évolution des mathématiques, visible dans ces deux institutions dans les années 1850, n’a pas entraîné une adaptation des programmes au sein de l’Académie. Ainsi, à partir de 1870, l’Académie a presque complètement disparu de la vie mathématique des Pays-Bas. The role of mathematics in the education of Dutch army officers changed dramatically in the early 19th century. This shift became visible with the founding of the Dutch Royal Military Academy in 1828, which shows the role of mathematics in military education shifting toward a purely pedagogical function. This change in approach, which primarily occurred in 1860’s, affected the standing and perception of an academy once highly respected in the field of mathematics. In the present work, I examine both the curricula at the Academy and the crucial role of the Academy’s mathematics instructors in the Dutch Mathematical Society and the Royal Academy of Sciences. Importantly, these two institutions managed to successfully adapt to the changing character of mathematical sciences that occurred around 185 Mathematicians at the Royal Military Academy, however, appeared to cling to an outdated view of mathematics. Failing to update their approach ultimately caused the Academy to lose its once prominent place in the Dutch mathematical community. (shrink)

Vox pops, interviews with ordinary people on the street, are one of the most common ways to represent public opinion in television news. Research found that they influence audience judgments more than static base-rate information such as poll results. However, little research has compared vox pops with vivified base-rate information. Most research studying vox pops assumed they are included in the news because of their apparent attractiveness and trustworthiness to audiences. Using a television news experiment comparing statistical base-rate information vivified (...) by an expert with vox pop statements, this study shows that news items containing vox pop statements are perceived as being less attractive and trustworthy than items containing the expert statement. No difference is found between the two types of public opinion information in their influence on perceived public opinion, but vox pops do influence audiences’ personal opinion more strongly. (shrink)

In this commentary, we assess the propositional approach to associative learning not only in terms of veridicality and falsifiability, but also in heuristic value. We remark that it has furthered our knowledge and understanding of human, as well as animal, associative learning. At the same time, we maintain that models developed from the association formation tradition continue to bear great heuristic value as well.

Studies of AGL have frequently used training and test stimuli that might provide multiple cues for learning, raising the question what subjects have actually learned. Using a selected subset of studies on humans and non‐human animals, Trotter et al. demonstrate how a meta‐analysis can be used to identify relevant experimental variables, providing a first step in asssessing the relative contribution of design features of grammars as well as of species‐specific effects on AGL.

We show that in the Maxwell–Lorentz theory of classical electrodynamics most initial values for fields and particles lead to an ill-defined dynamics, as they exhibit singularities or discontinuities along light-cones. This phenomenon suggests that the Maxwell equations and the Lorentz force law ought rather to be read as a system of delay differential equations, that is, differential equations that relate a function and its derivatives at different times. This mathematical reformulation, however, leads to physical and philosophical consequences for the ontological (...) status of the electromagnetic field. In particular, fields cannot be taken as independent degrees of freedom, which suggests that one should not add them to the ontology. (shrink)

While many studies from analytical sociology apply agent-based modeling to analyze the transformational mechanisms linking the micro to the macro level, we hold the view that both situational and action formation mechanisms can rather be unveiled by means of more advanced quantitative methods. By focusing on selective exposure to quality newspapers, our study has both an analytical and a substantive aim. First., our analytical aim is to amend the psychological mechanism of avoiding cognitive dissonance by social mechanisms allowing postulates on (...) how the selective exposure effect might vary by particular social groups. Second, our substantive aim is to set the ground for a longitudinal analysis of selective exposure to quality papers by placing these social mechanisms in the context of social and cultural change. By referring to hypothetical data, we illustrate which kind of (multilevel) moderator effects would have to hold if our hypotheses were true. (shrink)

A dimensional reduction algorithm is applied to an intelligent classification model with the purpose of improving the efficiency and accuracy. The proposed classification model, used to distinguish the operating mode: Hard- and Soft-Switching, is presented and an analysis of the synchronized rectified step-down converter is done. With the aim of improving the accuracy and reducing the computational cost of the model, three different methods for dimensional reduction are applied to the input dataset of the model: self-organizing maps, principal component analysis (...) and correlation matrix. The obtained results show how the number of variable is highly reduced and the performance of the classification model is boosted: the results manifest an improve in the accuracy and efficiency of the classification. (shrink)

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that (...) learning involves abstract transfer, and such transfer effects involve sequential presentation of distinct sets of causal cues. It has been demonstrated that pre-training can modulate classic causal learning phenomena such as forward and backward blocking. To account for these effects, we propose a Bayesian theory of sequential causal learning. The theory assumes that humans are able to consider and use several alternative causal generative models, each instantiating a different causal integration rule. Model selection is used to decide which integration rule to use in a given learning environment in order to infer causal knowledge from sequential data. Detailed computer simulations demonstrate that humans rely on the abstract characteristics of outcome variables to select a causal integration rule, which in turn alters causal learning in a variety of blocking and overshadowing paradigms. When the nature of the outcome variable is ambiguous, humans select the model that yields the best fit with the recent environment, and then apply it to subsequent learning tasks. Based on sequential patterns of cue-outcome co-occurrence, the theory can account for a range of phenomena in sequential causal learning, including various blocking effects, primacy effects in some experimental conditions, and apparently abstract transfer of causal knowledge. (shrink)

We discuss the no-go theorem of Frauchiger and Renner based on an "extended Wigner's friend" thought experiment which is supposed to show that any single-world interpretation of quantum mechanics leads to inconsistent predictions if it is applicable on all scales. We show that no such inconsistency occurs if one considers a complete description of the physical situation. We then discuss implications of the thought experiment that have not been clearly addressed in the original paper, including a tension between relativity and (...) nonlocal effects predicted by quantum mechanics. Our discussion applies in particular to Bohmian mechanics. (shrink)

This article traces the trajectory of Heidegger’s thinking about technology over the course of what is considered to be his early, middle, and late periods. Over the course of the years, Heidegger’s concerns moved from somewhat conventional concerns over the consumerism technology entails, and the damage it causes to the environment, to the more complex position that technicity distorts human nature with an accompanying loss of meaning. The real danger, he said, is not the destruction of nature or culture, nor (...) selfindulgent consumerism, but a new totalizing style of practices that would restrict our openness to people and things by driving out all other styles of practice that enable us to be receptive to realty. (shrink)

Generalising what is learned about one stimulus to other but perceptually related stimuli is a basic behavioural phenomenon. We evaluated whether a rule learning mechanism may serve to explain such generalisation. To this end, we assessed whether inference rules communicated through verbal instructions affect generalisation. Expectancy ratings, but not valence ratings, proved sensitive to this manipulation. In addition to revealing a role for inference rules in generalisation, our study has clinical implications as well. More specifically, we argue that targeting inference (...) rules might prove to be an effective strategy to affect the excessive generalisation that is often observed in psychopathology. (shrink)

It can be challenging to introduce the philosophy of social science (PoS) to students in the social sciences. Noting the lack of literature providing guidance to the prospective PoS teacher, this paper outlines several pieces of advice on how to engage social science undergraduates in the subject. This advice centres on showing the relevance of the PoS in academia and beyond, reducing complexity and presenting only a few contending PoS perspectives. It is also proposed to use textbooks with caution or (...) avoiding them altogether, illustrating how PoS assumptions are embedded in contemporary social research and showing the connection between the PoS on one hand and research questions, methods, and theory on the other. Finally, the importance of showing students how they can make use of the PoS in their own work and teaching the subject in a ‘hands on’ manner is emphasized. (shrink)

Thousands of youth suffering from acquired brain injury or other early-life neurological disease live, mature, and learn with only limited communication and interaction with their world. Such cognitively capable children are ideal candidates for brain-computer interfaces. While BCI systems are rapidly evolving, a fundamental gap exists between technological innovators and the patients and families who stand to benefit. Forays into translating BCI systems to children in recent years have revealed that kids can learn to operate simple BCI with proficiency akin (...) to adults. BCI could bring significant boons to the lives of many children with severe physical impairment, supporting their complex physical and social needs. However, children have been neglected in BCI research and a collaborative BCI research community is required to unite and push pediatric BCI development forward. To this end, the pediatric BCI Canada collaborative network was formed, under a unified goal to cooperatively drive forward pediatric BCI innovation and impact. This article reflects on the topics and discussions raised in the foundational BCI-CAN meeting held in Toronto, ON, Canada in November 2019 and suggests the next steps required to see BCI impact the lives of children with severe neurological disease and their families. (shrink)

Social network analysis (SNA) is an increasingly popular approach that provides researchers with highly developed tools to map and analyze complexes of social relations. Although a number of network scholars have explicated the assumptions that underpin SNA, the approach has yet to be discussed in relation to established philosophies of science. This article argues that there is a tension between applied and methods-oriented SNA studies, on the one hand, and those addressing the social-theoretical nature and implications of networks, on the (...) other. The former, in many cases, exhibits positivist tendencies, whereas the latter incorporate a number of assumptions that are directly compatible with core critical realist views on the nature of social reality and knowledge. This article suggests that SNA may be detached from positivist social science and come to constitute a valuable instrument in the critical realist toolbox. (shrink)