Evo-Devo exhibits a plurality of scientific “cultures” of practice and theory. When are the cultures acting—individually or collectively—in ways that actually move research forward, empirically, theoretically, and ethically? When do they become imperialistic, in the sense of excluding and subordinating other cultures? This chapter identifies six cultures – three /styles/ (mathematical modeling, mechanism, and history) and three /paradigms/ (adaptationism, structuralism, and cladism). The key assumptions standing behind, under, or within each of these cultures are explored. Characterizing the internal structure of (...) the cultures is necessary for understanding how they collaborate or compete, and how they are fragmented or integrated, in the rich interdisciplinary /trading zone/ (Galison 1997) of Evo-Devo. Evo-Devo is an important example of how science can progress through a radical plurality of perspectives and cultures. (shrink)

After an initial discussion of the character of interdisciplinary linkages between complex disciplines, I consider an area with confluences of many diverse disciplines—the study of cultural evolution. This must embrace not only the traditional biological sciences, but also the multiple often warring disciplines of the human sciences. This interdisciplinary articulation is in its early stages compared, e.g., to that of evolutionary biology or evolutionary developmental biology, and I try to lay out major axes along which its articulation should plausibly occur, (...) given the relevant causal processes acting at different levels. One cannot have an adequate account of cultural evolution without recognizing a central role for cognitive and social development and the social and cultural organizations and institutions and artifactual tools and infrastructure that support and structure these developmental processes. These induce a population structure that mediates the transmission, expression, and elaboration of culture, and in particular the different ways in which they scaffold learning and the development and articulation of complex skills. I consider how these elements should articulate the disciplines that tend to focus separately on them. Intentions and the market are not explicitly included in this account, and I consider ways in which these perspectives might enter. (shrink)

This is the first of two articles in which I reflect on “generalized Darwinism” as currently discussed in evolutionary economics. I approach evolutionary economics by the roundabouts of evolutionary epistemology and the philosophy of biology, and contrast evolutionary economists’ cautious generalizations of Darwinism with “imperialistic” proposals to unify the behavioral sciences. I then discuss the continued resistance to biological ideas in the social sciences, focusing on the issues of naturalism and teleology. In the companion article (Callebaut, Biol Theory 6. doi: (...) 10.1007/s13752-013-0087-1, 2011, this issue) I assess generalized Darwinism, concentrating on the roles of theory and model building, generative replication, and the relation between selection and self-organization; and I point to advances in biology that promise to be more fruitful as sources of inspiration for evolutionary economics than the project to generalize Darwinism in its current, “hardened Modern Synthesis” form. (shrink)

Robert McCauley's Why Religion Is Natural and Science Is Not provides a summary interpretive statement of the standard model in cognitive science of religion, what I have previously called the HADD + ToM + Cultural Epidemiology model, along with a more general argument comparing religious cognition to scientific thinking and a novel framework for understanding both in terms of the concept of the maturationally natural. I here follow up on some observations made in a previous paper, developing them in light (...) of McCauley's own response to my previous arguments. (shrink)

Climate policy decisions are decisions under uncertainty and are, therefore, based on a range of future climate scenarios, describing possible consequences of alternative policies. Accordingly, the methodology for setting up such a scenario range becomes pivotal in climate policy advice. The preferred methodology of the Intergovernmental Panel on Climate Change will be characterised as ,,modal verificationism"; it suffers from severe shortcomings which disqualify it for scientific policy advice. Modal falsificationism, as a more sound alternative, would radically alter the way the (...) climate scenario range is set up. Climate science's inability to find robust upper bounds for future temperature rise in line with modal falsificationism does not disprove that methodology, rather, this very fact prescribes even more drastic efforts to curb CO2 emissions than currently proposed. (shrink)