The deep and lasting changes to human behaviour that are required to address the global environmental crisis necessitate profound shifts in moral foundations. They amount to a change in what individuals and societies conceive of as progress. This imperative raises important questions about the justification, ends, and means of large-scale changes in people’s ethics. In this essay I will focus on the ends—the direction of moral change as prescribed by the goal of sustainable human flourishing. I shall present a meta-ethical (...) critique of anthropocentrism and propose that only an ecocentric ethic can support the sustainable flourishing of humanity. This proposition does not necessarily contradict itself. My claim will be that the values subsumed under the broad concept of anthropocentrism are categorically counterproductive, informing an undesirable concept of “progress”. I support this claim with two lines of argument. On the one hand, the end values of anthropocentrism are shallow and the “flourishing of humanity” is ill-defined. The conceptual constraints of anthropocentrism itself preclude a more concise definition which would take into account the utter dependence of the flourishing of humanity on the health of ecological support structures. On the other hand, pursuing the values that inform the actions of anthropocentrists (which may be identical with the “flourishing of humanity”) leads to unintended and undesirable outcomes, even from the view of the anthropocentrist herself. Those problems are not encountered with an ecocentric ethic, and the conceptual steps necessary to adopt it are not insurmountable. (shrink)

Richard Levins has advocated the scientific merits of qualitative modeling throughout his career. He believed an excessive and uncritical focus on emulating the models used by physicists and maximizing quantitative precision was hindering biological theorizing in particular. Greater emphasis on qualitative properties of modeled systems would help counteract this tendency, and Levins subsequently developed one method of qualitative modeling, loop analysis, to study a wide variety of biological phenomena. Qualitative modeling has been criticized for being conceptually and methodologically problematic. As (...) a clear example of a qualitative modeling method, loop analysis shows this criticism is indefensible. The method has, however, some serious limitations. This paper describes loop analysis, its limitations, and attempts to clarify the differences between quantitative and qualitative modeling, in content and objective. Loop analysis is but one of numerous types of qualitative analysis, so its limitations do not detract from the currently underappreciated and underdeveloped role qualitative modeling could have within science. (shrink)