Some scholars see interdisciplinarity as a special case of a broader unificationist program. They accept the unification of the sciences as a regulative ideal, and derive from this the normative justification of interdisciplinary research practices. The crucial link for this position is the notion of integration: integration increases the cohesion of concepts and practices, and more specifically of explanations, ontologies, methods and data. Interdisciplinary success then consists in the integration of fields or disciplines, and this constitutes success in the sense (...) that unification is epistemically desirable. In contrast to this account, I defend the thesis that successful interdisciplinary interaction does not necessarily imply the integration of these disciplines. I show this at the hand of two cases. In both the case of evolutionary game theory and the case of hyperbolic discounting, genuine interdisciplinary exchange took place. From both exchanges, the respective economic fields emerged substantially altered – it wasn’t just a juxtaposition of disciplines in which disciplinary identities remained unchanged. Yet in neither case did the disciplines integrate. Rather, they developed their own concepts and methods, their own explanations, own ontologies, and their own views of what proper data standards were. Furthermore, the fields that emerged from these exchanges were very successful, if measured at the hand of properties like explanatory success, increase of control, bibliometrics and grant yields. Thus, I argue, there are cases of interdisciplinary success without integration. (shrink)

Successful instances of interdisciplinary collaboration can eventually enter a process of disciplinarisation. This article analyses one of those instances: agent-based computational social science, an emerging disciplinary field articulated around the use of computational models to study social phenomena. The discussion centres on how, in knowledge transfer dynamics from traditional disciplinary areas, practitioners parsed several epistemic resources to produce new foundational disciplinary shared commitments, and how disagreements operated as a mechanism of differentiation in their production. Two parsing processes are examined to (...) illustrate this claim. The first one is the parsing of the qualitative–quantitative dualism, arguably the most important methodological disagreement in social science. The second one is the parsing of prediction, a key value in contemporary science. The analysis evidences that disagreements have fostered both external and internal dynamics of differentiation in agent-based computational social science. The former have permitted a more efficient use of epistemic resources, whereas the latter have forced practitioners to modify the foundational narrative and the agenda of the field. (shrink)

Research on interdisciplinary science has for the most part concentrated on the institutional obstacles that discourage or hamper interdisciplinary work, with the expectation that interdisciplinary interaction can be improved through institutional reform strategies such as through reform of peer review systems. However institutional obstacles are not the only ones that confront interdisciplinary work. The design of policy strategies would benefit from more detailed investigation into the particular cognitive constraints, including the methodological and conceptual barriers, which also confront attempts to work (...) across disciplinary boundaries. Lessons from cognitive science and anthropological studies of labs in sociology of science suggest that scientific practices may be very domain specific, where domain specificity is an essential aspect of science that enables researchers to solve complex problems in a cognitively manageable way. The limit or extent of domain specificity in scientific practice, and how it constrains interdisciplinary research, is not yet fully understood, which attests to an important role for philosophers of science in the study of interdisciplinary science. This paper draws upon two cases of interdisciplinary collaboration; those between ecologists and economists, and those between molecular biologists and systems biologists, to illustrate some of the cognitive barriers which have contributed to failures and difficulties of interactions between these fields. Each exemplify some aspect of domain specificity in scientific practice and show how such specificity may constrain interdisciplinary work. (shrink)

Normal science involves persistent collective application of an agreed research agenda. Anomaly can threaten normal science, but so too can “undue persistence” in that agenda by a normal science peer group. We consider how “undue persistence” might be a collective effect of the common incentive structure that individual members of the peer group typically face in relation to their careers. To understand how “undue persistence” might be ameliorated, we consider the affordances of a peer’s membership of a departmental collegium, organized (...) on a different basis than the specialist peer group and hence able to supply the individual scholar with kinds of information and critical comment that may occasion off-agenda contributions to the specialty. The idea of brokerage is borrowed from the sociology of innovation to see how a scholar’s departmental colleagues might be able to broker new ways of thinking that can assist in the avoidance of “undue persistence”. (shrink)

This thesis contextualises academic writing in EAP (English for Academic Purposes) and subjects it to an interdisciplinary (educational and philosophical) analysis in order to argue that what makes writing academic are its socio-academic practices and values, not its conventional forms. In rejecting dominant discourses that frame academic writing as a transferable skill which can be reduced to conventional forms, I show that academic writings are varied and evolve alongside changing writer agencies and textual environments. This accounts for the emergence of (...) a diverse academic writing landscape that enacts diverse socio-academic practices and that does not reduce writing to predictable static surface features. My methodology resists traditional disciplinary classifications and is in line with the reflective and interpretative approaches associated with the humanities. Rather than ‘filling a gap’ in academic writing research, I challenge writing conventions in EAP by questioning assumptions. This is because EAP is influential in shaping discourses about academic writing and, as such, it must not mislead students and practitioners about the evolving purposes, forms and possibilities for academic expression. The thesis is divided into three parts, each containing two chapters. Part 1 is concerned with explaining what academic writing is in EAP and how EAP can misrepresent it. Part 2 delves into the history of writing and literacy to tease out the ideologies shaping writing practices. Part 3 proposes a model based on philosophical theories of mind and sociology that lays the foundation for a macro theory of academic writing and a future writing pedagogy. The model re-imagines academic writing as an affordance within a non-linear, emergent and complex social open system. This system can be referred to as an organic unity and requires a shift from conceiving writing as a ‘transferable skill’. When re-imagined as an affordance, change and diversity in academic writing practices become possible. (shrink)