The punishment of social misconduct is a powerful mechanism for stabilizing high levels of cooperation among unrelated individuals. It is regularly assumed that humans have a universal disposition to punish social norm violators, which is sometimes labelled “universal structure of human morality” or “pure aversion to social betrayal”. Here we present evidence that, contrary to this hypothesis, the propensity to punish a moral norm violator varies among participants with different career trajectories. In anonymous real-life conditions, future teachers punished a talented (...) but immoral young violinist: they voted against her in an important music competition when they had been informed of her previous blatant misconduct toward fellow violin students. In contrast, future police officers and high school students did not punish. This variation among socio-professional categories indicates that the punishment of norm violators is not entirely explained by an aversion to social betrayal. We suggest that context specificity plays an important role in normative behaviour; people seem inclined to enforce social norms only in situations that are familiar, relevant for their social category, and possibly strategically advantageous. (shrink)

The expression ‘a university without research is a dignified high school’ is becoming a both local and global concern in the academia. The purpose of this paper is to assess the extent to which collaborative research methodologies can enhance integration of faculties of arts and humanities in the universities in Malawi for knowledge development and transfer. It has been argued over and over that universities are spotlighted by their outstanding work in research, developing and sharing ideas, new inventions and creativity (...) within the spectrum of partnership development. While striving for partnership through collaborative research approaches, research activities still remain an area of concern in institutions that offer diverse tertiary education in Malawi. The question of how can these institutions or faculties engage each other in collaborative research methodologies in the quest of knowledge development and transfer remains crucial and relevant The study analyzed strengths, weaknesses, threats and opportunities of the existing research methods in Arts and Humanities and how the two disciplines can create a space for amalgamation so that research findings can benefit both disciplines. The study reveals that collaboration in various disciplines is a challenge owing to variations of conceptual analyses and the deficiency of technical no-how of both teaching staff and students as well as tools for data collection and analysis as may be emphasized in each of the areas of study; Arts and Humanities. Furthermore, while other institutions of higher learning have research ethics committees for checks and balances as a collaborative tool, some institutions do not know that this committee plays a crucial role in the field of research. Within this backdrop, there is need to develop research collaborations within an institution or with other institutions of higher learning that have a well-defined research profile for mutual benefits as far as collaborative research methodologies are concerned. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

Durch genomweite Analysen werden vielfältige gesundheitsrelevante Informationen über eine Person gewonnen. Solche Informationen können die Behandlung von Krankheiten verbessern. Sie ermöglichen aber auch Vorhersagen, ob eine Person und deren Verwandte in Zukunft möglicherweise erkranken werden. Der neuartige Charakter des Informationseingriffs und sein prädiktive Potential bedürfen der ethischen, juristischen und ökonomischen Reflexion, damit diese Technologie zum Wohl der Patienten, der Familienangehörigen und der Solidargemeinschaft eingesetzt werden kann. Die vorliegende Schrift leistet mit ihren interdisziplinären, vom BMBF finanzierten Analysen dazu einen Beitrag. Grundlagen (...) für einen ethisch und juristisch verantwortbaren Einsatz der Genomsequenzierung zu medizinischen Zwecken werden erörtert und Eckpunkte für Kostenanalysen sowie Elemente einer “Guten klinischen Praxis” präsentiert. (shrink)

In this paper I criticise Axel Honneth's reactualization of reification as a concept in critical theory in his 2005 Tanner Lectures and argue that he ultimately fails on his own terms. His account is based on two premises: (1) reification is to be taken literally rather than metaphorically, and (2) it is not conceived of as a moral injury but as a social pathology. Honneth concludes that reification is “forgetfulness of recognition”, more specifically, of antecedent recognition, an emphatic and (...) engaged relationship with oneself, others and the world, which precedes any more concrete relationship both genetically and categorially. I argue against this conception of reification on two grounds. (1) The two premises of Honneth's account cannot be squared with one another. It is not possible to literally take a person as a thing without this being a recognisable moral injury, and, therefore, I suggest that there are no cases of literal reification. (2) Honneth's account is essentially ahistorical, because it is based on an anthropological model of recognition that tacitly equates reification with autism. In conclusion, I suggest that any successful account of reification must (i) take reification metaphorically and (ii) offer a social-historical account of the origin(s) of reification. (shrink)

Nietzsche and Shaw are famous and infamous: famous for their innovative and influential forms of writing, but infamous for their apparent support of totalitarianism and Nazism. However, while it has long been shown that Nietzsche’s provocative language about “breeding” and “masters and slaves” was intended to enhance culture through competition, it is still an open question how and when Shaw supported biological eugenics. Via Nietzsche’s “philosophical breeding,” this article presents a new reading of Shaw’s Man and Superman: on the one (...) hand, it contrasts Nietzsche’s philosophical Übermensch with Shaw’s eugenic Superman; and on the other hand, it connects Nietzsche’s agonistic enhancement of culture with Shaw’s philosophical reflections in “Don Juan in Hell.” In contrast to Tanner’s support of eugenic breeding in his Revolutionist’s Handbook, Shaw’s Don Juan remarkably resembles Nietzsche’s notion of “philosophical breeding” toward a more competent, truthful, and autonomous orientation that is needed in increasingly complex global politics. (shrink)

Le big data peut générer, par inférences, de nouvelles connaissances et perspectives. Le paradigme qui résulte de l'utilisation du big data crée de nouvelles opportunités. L'une des principales préoccupations dans le cas du big data est que les scientifiques des données ont tendance à travailler avec des données sur des sujets qu'ils ne connaissent pas et n'ont jamais été en contact, étant éloignés du produit final de leur activité (l'application des analyses). Une étude récente (Tanner 2014) indique que cela (...) peut être la raison d'un phénomène connu sous le nom d'aliénation numérique. DOI: 10.13140/RG.2.2.34700.54409. (shrink)

In this short essay, I report results from a representative national dataset from the Cooperative Institutional Research Program that shows that significantly more men than women intend to major in philosophy at the high-school and pre-university level. This lends credence to pre-university effects hypotheses of women's underrepresentation in philosophy and successfully replicates a smaller analysis performed by Cheshire Calhoun at Colby College in 2009. I also defend my analysis against an objection that claims that intention to major is not (...) a good predictor of final major selection. Finally, I argue that this new analysis should lead to further investment in university-level diversity programs. (shrink)

Philosophical inquiries into morality are as old as philosophy, but it may turn out that morality itself is much, much older than that. At least, that is the main thesis of prima- tologist Frans De Waal, who in this short book based on his Tanner Lectures at Princeton, elaborates on what biologists have been hinting at since Darwin’s (1871) book The Descent of Man and Hamilton’s (1963) studies on the evolution of altruism: morality is yet another allegedly human characteristic (...) that turns out to be built over evolutionary time by natural. (shrink)