In this article I present an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems. As a result of the spectacular expansion in scientific disciplines, the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what counts as good science. This characterisation of science as a complex system can give an (...) answer to the question why the sciences are so successful in solving growing numbers of problems and correcting their own mistakes. I utilise components of complexity theory to explain and interpret science as a complex system. I first explain the concept of complexity in ordinary language. The explanation of science as a complex system starts with a definition of the basic rules that guide the behaviour of science as a complex system. Next, I show how various sciences result through the implementation of these rules in the study of a specific aspect of reality. The explanation of the growth of science through evolutionary adaptation and learning forms the core of the article. (shrink)

This paper aims to contribute to the expanding discourse on inter- and transdisciplinarity. Referring to well-established distinctions in philosophy of science, the paper argues in favor of a plurality of four different dimensions: Interdisciplinarity with regard to objects, knowledge/theories, methods/practices, and further, problem perception/problem solving. Different philosophical thought traditions can be related to these distinguishable meanings. The philosophical framework of the four different dimensions will be illustrated by some of the most popular examples of research programs that are labeled interdisciplinary (...) : nanoresearch/nanoscience/nanotechnology, complex systems theory/chaos theory, biomimicry/bionics, and technology assessment/sustainability research. Thus, a minimal philosophy of science is required to understand and foster inter- and transdisciplinarity. (shrink)

In science policy, it is generally acknowledged that science-based problem-solving requires interdisciplinary research. For example, policy makers invest in funding programs such as Horizon 2020 that aim to stimulate interdisciplinary research. Yet the epistemological processes that lead to effective interdisciplinary research are poorly understood. This article aims at an epistemology for interdisciplinary research, in particular, IDR for solving ‘real-world’ problems. Focus is on the question why researchers experience cognitive and epistemic difficulties in conducting IDR. Based on a study of educational (...) literature it is concluded that higher-education is missing clear ideas on the epistemology of IDR, and as a consequence, on how to teach it. It is conjectured that the lack of philosophical interest in the epistemology of IDR is due to a philosophical paradigm of science, which prevents recognizing severe epistemological challenges of IDR, both in the philosophy of science as well as in science education and research. The proposed alternative philosophical paradigm entails alternative philosophical presuppositions regarding aspects such as the aim of science, the character of knowledge, the epistemic and pragmatic criteria for accepting knowledge, and the role of technological instruments. This alternative philosophical paradigm assume the production of knowledge for epistemic functions as the aim of science, and interprets ‘knowledge’ as epistemic tools that must allow for conducting epistemic tasks by epistemic agents, rather than interpreting knowledge as representations that objectively represent aspects of the world independent of the way in which it was constructed. The engineering paradigm of science involves that knowledge is indelibly shaped by how it is constructed. Additionally, the way in which scientific disciplines construct knowledge is guided by the specificities of the discipline, which can be analyzed in terms of disciplinary perspectives. This implies that knowledge and the epistemic uses of knowledge cannot be understood without at least some understanding of how the knowledge is constructed. Accordingly, scientific researchers need so-called metacognitive scaffolds to assist in analyzing and reconstructing how ‘knowledge’ is constructed and how different disciplines do this differently. In an engineering paradigm of science, these metacognitive scaffolds can also be interpreted as epistemic tools, but in this case as tools that guide, enable and constrain analyzing and articulating how knowledge is produced. In interdisciplinary research, metacognitive scaffolds assist interdisciplinary communication aiming to analyze and articulate how the discipline constructs knowledge. (shrink)

The American Antitrust Institute, a Washington, D.C. think tank, recently completed a study that concludes that competition law and policy plays little if any role in business ethics courses taught in U.S. business schools. To fill this intellectual void, this article makes a case for the development of a business ethics sub-field of antitrust ethics that is synonymous with the ethics of competitive strategy. After reviewing Paine''s Five Principles of Positive Competition and Boatright''s and Hendry''s views on the Moral Manager (...) Model and Moral Market Model, the need for ethical decision-making in a dynamic, innovative environment is explained through a Federal Trade Commission antitrust case involving the Dell Computer Corporation. The author argues that the contributions of Paine, Boatright, and Hendry provide an initial foundation for further research concerning the moral theories, principles, and rules pertaining to antitrust ethics, especially as it pertains to dynamic competition and "fair and competitive" executive behavior. (shrink)

During the past decades, research collaboration between researchers from different disciplines has become more frequent. However, there is a need to look into the generic modalities and challenges. The article explores a series of potential obstructions to cross-disciplinary collaboration of methodological and epistemological nature. Furthermore, a number of contextual, inhibiting factors are outlined. As means of overcoming the obstacles, the importance of mutual knowledge, allocation of adequate time and conducive research management is emphasised. New teams may benefit from tutoring by (...) facilitators, who can help to make problem areas explicit and negotiate solutions. Owing to the training background of the author, most of the examples are drawn from the interface between biomedicine/natural science and applied medical anthropology. However, the issues raised basically apply to all sorts of cross-disciplinary research collaboration in various combinations. (shrink)

New sciences born or developed in the 20th century (information, materials, life science) are based on forms of complementarity that differ from the past. The paper discusses cognitive, or disciplinary, institutional, and technical complementarity. It argues that new sciences apply a reductionist explanatory strategy to complex multi-layered systems. In doing so the reductionist promise is falsified, generating the need for multi-level kinds of explanation (e.g. in post-genomic molecular biology), new forms of complementarity between scientific and non-scientific organizations, and new forms (...) of experimental and informational facilities. The paper develops the argument in theoretical terms, comparing it with the STS literature, and offers preliminary evidence based on the experience of Networks of Excellence. (shrink)

In science policy, it is generally acknowledged that science-based problem-solving requires interdisciplinary research. For example, policy makers invest in funding programs such as Horizon 2020 that aim to stimulate interdisciplinary research. Yet the epistemological processes that lead to effective interdisciplinary research are poorly understood. This article aims at an epistemology for interdisciplinary research, in particular, IDR for solving ‘real-world’ problems. Focus is on the question why researchers experience cognitive and epistemic difficulties in conducting IDR. Based on a study of educational (...) literature it is concluded that higher-education is missing clear ideas on the epistemology of IDR, and as a consequence, on how to teach it. It is conjectured that the lack of philosophical interest in the epistemology of IDR is due to a philosophical paradigm of science, which prevents recognizing severe epistemological challenges of IDR, both in the philosophy of science as well as in science education and research. The proposed alternative philosophical paradigm entails alternative philosophical presuppositions regarding aspects such as the aim of science, the character of knowledge, the epistemic and pragmatic criteria for accepting knowledge, and the role of technological instruments. This alternative philosophical paradigm assume the production of knowledge for epistemic functions as the aim of science, and interprets ‘knowledge’ as epistemic tools that must allow for conducting epistemic tasks by epistemic agents, rather than interpreting knowledge as representations that objectively represent aspects of the world independent of the way in which it was constructed. The engineering paradigm of science involves that knowledge is indelibly shaped by how it is constructed. Additionally, the way in which scientific disciplines construct knowledge is guided by the specificities of the discipline, which can be analyzed in terms of disciplinary perspectives. This implies that knowledge and the epistemic uses of knowledge cannot be understood without at least some understanding of how the knowledge is constructed. Accordingly, scientific researchers need so-called metacognitive scaffolds to assist in analyzing and reconstructing how ‘knowledge’ is constructed and how different disciplines do this differently. In an engineering paradigm of science, these metacognitive scaffolds can also be interpreted as epistemic tools, but in this case as tools that guide, enable and constrain analyzing and articulating how knowledge is produced. In interdisciplinary research, metacognitive scaffolds assist interdisciplinary communication aiming to analyze and articulate how the discipline constructs knowledge. (shrink)

Among others, the term problem plays a major role in the various attempts to characterize interdisciplinarity or transdisciplinarity, as used synonymously in this paper. Interdisciplinarity is regarded as problem solving among science, technology and society and as problem orientation beyond disciplinary constraints. The point of departure of this paper is that the discourse and practice of ID have problems with the problem. The objective here is to shed some light on the vague notion of problem in order to advocate a (...) specific type of interdisciplinarity: problem-oriented interdisciplinarity. The outline is as follows: Taking an ex negativo approach, I will show what problem-oriented ID does not mean. Using references to well-established distinctions in philosophy of science, I will show three other types of ID that should not be placed under the umbrella term problem-oriented ID : object-oriented ID, theory-oriented ID, and method-oriented ID. Different philosophical thought traditions can be related to these distinguishable meanings. I will then clarify the notion of problem by looking at three systematic elements: an undesired state, a desired state, and the barriers in getting from the one to the other. These three elements include three related kinds of knowledge: systems, target, and transformation knowledge. This paper elaborates further methodological and epistemological elements of problem-oriented ID. It concludes by stressing that problem-oriented ID is the most needed as well as the most challenging type of ID. (shrink)

In recent decades there has been increasing demand for and considerable efforts to conduct cross-disciplinary research. However, assessment of research quality in such endeavours still is often based on mono-disciplinary criteria and not seldom carried out by reviewers without strong cross-disciplinary experience. The authors suggest a two-pronged approach to cross-disciplinary research evaluation. One part should comprise an individual review of all the disciplines involved based on their mono-disciplinary sets of criteria. The other part should be a separate evaluation of the (...) cross-disciplinary aspects based on the review of “problem formulation”, “integration and scope of the disciplines”, “parts and the whole”, “practical managerial aspects” and “the applied aspects”. The pros and cons of implementing this approach in a stepwise manner or simultaneously is discussed. It is suggested that funding agencies develop more fair sets of review procedures for cross-disciplinary research and show willingness to allocate extra funds and time to such forms of research that sometimes are regarded as relatively more “risky” than conventional mono-disciplinary types. (shrink)

The article addresses the issue of dynamics of science, in particular of new sciences born in twentieth century and developed after the Second World War (information science, materials science, life science). The article develops the notion of search regime as an abstract characterization of dynamic patterns, based on three dimensions: the rate of growth, the degree of internal diversity of science and the associated dynamics (convergent vs. proliferating), and the nature of complementarity. The article offers a conceptual discussion for the (...) argument that new sciences follow a different pattern than established sciences and presents preliminary evidence drawn from original data in particle physics, computer science and nanoscience. (shrink)