The task of this paper is to ground the notion of cyberethics of co-operation. The evolution of modern society has resulted in a shift from industrial society towards informational capitalism. This transformation is a multidimensional shift that affects all aspects of society. Hence also the ethical system of society is penetrated by the emergence of the knowledge society and ethical guidelines for the information age are needed. Ethical issues and conflicts in the knowledge society are connected to topics of ecological (...) and social sustainability. For information ethics and cyberethics, the sustainable design of society, social, and socio-technological systems is important. In this context the notions of sustainability and co-operation are discussed. Based on these categories, the approach of cyberethics of co-operation can be theoretically grounded. (shrink)

‘Social media’ like Facebook or Twitter have become tremendously popular in recent years. Their popularity provides new opportunities for data collection by state and private companies, which requires a critical and theoretical focus on social media surveillance. The task of this paper is to outline a theoretical framework for defining social media surveillance in the context of contemporary society, identifying its principal characteristics, and understanding its broader societal implications. Social media surveillance is a form of surveillance in which different forms (...) of sociality and individuals different social roles converge, so that surveillance becomes a monitoring of different activities in different social roles with the help of profiles that hold a complex networked multitude of data about humans. (shrink)

Social capital is frequently offered up as a variable to explain such educational outcomes as academic attainment, drop-out rates and cognitive development. Yet, despite its popularity amongst social scientists, social capital theory remains the object of some scepticism, particularly in respect of its explanatory ambitions. I provide an account of some explanatory options available to social capital theorists, focussing on the functions ascribed to social capital and on how these are used as explanatory variables in educational theory. Two of the (...) most influential writers in this field are Coleman and Bourdieu. I explore their commonalities and differences, both in respect of their writing and in respect of some of the many theorists they have influenced. I argue that social capital theorists have made substantial progress in responding to sceptically minded critics, but that significant questions remain, especially about the success of the more ambitious explanatory variants as these apply to educational outcomes—functional explanation in particular. Functional explanation, and its association with Bourdieu, is discussed in ‘Bourdieu and functional explanation’; thereafter I discuss the more modest ambition of identifying the functions associated with social capital. In ‘Coleman, intergenerational closure and educational outcomes’ I show how Coleman provides resources for revealing how social structure features in social explanation in an educational context, and in ‘Inequality, class and ethnicity’ I suggest that some of the questions raised in his account are most satisfactorily responded to by educational theorists who adopt Bourdieu’s emphasis on social class and inequality. (shrink)

Our article relocates the debate about creative labour to the terrain of peer-to-peer interneting as the paradigmatic form of nonmarket – social – production. From Yann Moulier Boutang we take the point that creative labour is immaterial; it is expressed through people connected by the internet. Drawing on two social systems thinkers, Francis Heylighen and Wolfgang Hofkirchner, we transpose this connectedness up to a conception of creative labour as a supra-individual collective intelligence. This intelligence, we argue, is one of the (...) internet’s emergent properties. We then present a model of internet development that flags the potential of digitally-evoked collective intelligence to facilitate what the Marxist philosopher George Caffentzis calls ‘postcapitalist commoning’. Yoking together systems theorizing about the internet and socialist envisioning of social transformation, we identify two sets of internet tools for coordination that can assist with the convivial reconstruction of society along the lines of peer-based production. (shrink)

Four basic problems that a theory of science has to deal with concern epistemology, structure, causality, and dynamics of science. These problems deal with the relationship of induction/deduction, actors/structures, internal/external factors, and continuity/discontinuity. Traditionally they have been solved one-sidedly. Considering science as a self-organizing system allows a more integrative approach. Science is a complex, nonlinear system that is made up of two moments: scientific actors and scientific structures. Scientific self-organization operates synchronously and diachronically. Synchronous scientific self-organization is a mutual production (...) process between scientific actors and structures. Scientific systems are self-organizing units that perform the production of theories and truths by the way of a productive, circular causal duality of scientific actors and scientific structures. Science is a dynamic system where research practices produce and reproduce structures that produce and reproduce research practices. Scientific structures are medium and outcome of scientific actions. At the action level one can find a systemic hierarchy that is made up of individual researchers, research groups, scientific communities, and the overall scientific community. Scientific structures include theories, research institutions, technologies, journals, publications, science funds; norms, values, and rules of scientific conduct. The main scientific practices can be categorized as genuinely scientific practices (innovation, dissemination, scientific interchange, funding-related activities, teaching), cultural practices (public discourse), political practices (science policy), and economic practices (action related to scientific knowledge as commodities, patents, science-industry-partnerships, sponsorship). Science is an open system that is structurally coupled to other subsystems of society, it is neither internally, nor externally determined, its development is caused by a complex interplay of internal and external factors, it is a relatively autonomous system. Systems in nature and society act as a sort of data for the scientific system, research processes establish an informational relationship between the scientific system and its environment in the sense that theories are complex, non-linear reflections of environmental processes. Due to the fact that all complex systems are informational, one can say that science produces information about information systems. Science is a 2nd order information system, it produces meta-information. Philosophy of science is a science of science, it produces information about information about information, it is a 3rd order information system. The metaphor of science as a grand hypertext refers to the self-referential character of scientific texts. A scientific text by the way of citation refers to other scientific texts, it incorporates part of the history of science, and methodologically discusses other texts. The formation of scientific knowledge can be described as a double-process of induction and deduction, abstraction and concretization, where scientific knowledge consists of both empirical knowledge and theoretical knowledge and is formed in loop that consists of two self-organization processes. The self-organization of scientific knowledge is a mutually productive relationship between experience and theory. Scientific knowledge is a unity of experience and theory. The self-organization of scientific knowledge is a dialectical cycle where signals from material reality are transformed into experienced data that is interpreted and results in hypotheses and theories which are transformed into methods and technologies that are employed in order to cause effects in material reality that can again be observed as data. In this self-organization process there is the bottom-up-emergence of theoretical knowledge and the top-down-emergence of experiences and material effects. Each scientific theory is a truth claim, but one that is based on a systematic methodology, permanent evaluation and correction, and conflict-based discourse. Hence scientific truths are not absolute truths, they are truths-in-question, truths-in-discourse, and truths-in-conflict, and truths-in-development. One can distinguish formal, adequate, discursive, and practical truth of a theory. Due to the fact that the knowledge-based society is a high risk society, practical truth of science in the form of an ethically responsible science is of central importance. Diachronic self-organization of science means that dominant scientific paradigms at some point of time loose their effectiveness, paradoxes and instabilities show up, science enters crisis, a new dominant paradigm emerges. If a large gap between scientific theory and the problems posed for science by itself and by society emerges, the dominant structural patterns are increasingly questioned. This can have scientific or wider societal causes, or a combination of both. The resulting crisis is a process of creation and destruction. The whole process is one of the emergence of scientific order from noise. Variation is a permanent phenomenon of scientific evolution, but in phases of instability where the self-organization of science shifts from self-reproduction to order from noise the degree of variation and development by chance is much larger. (shrink)