After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape how science gets pursued, and that (...) attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

Replacing the value-free ideal (VFI) for science requires attention to the broader understanding of how science in society should function. In public spaces, science needed to project the VFI in norms for science advising, science education, and science communication. This resulted in the independent science advisor model and a focus on science literacy for science education and communication. Attending to these broader implications of the VFI which structure science and society relationships is crucial if we are to properly replace the (...) VFI with a better ideal. (shrink)

There is considerable disagreement about the epistemic value of novel predictive success, i.e. when a scientist predicts an unexpected phenomenon, experiments are conducted, and the prediction proves to be accurate. We survey the field on this question, noting both fully articulated views such as weak and strong predictivism, and more nascent views, such as pluralist reasons for the instrumental value of prediction. By examining the various reasons offered for the value of prediction across a range of inferential contexts , we (...) can see that neither weak nor strong predictivism captures all of the reasons for valuing prediction available. A third path is presented, Pluralist Instrumental Predictivism; PIP for short. (shrink)

Elijah Millgram’s book The Great Endarkenment takes philosophy to task for failing to note the kinds of creatures we are (serial hyperspecializers) and what that means for philosophy. In this commentary, I will complicate the picture he draws, while suggesting a more hopeful path forward. First, I argue that we are not actually serial hyperspecializers. Nevertheless, we are hyperspecializers, and this is the main source of the looming endarkenment. I will suggest that a proper understanding of expertise, particularly the requirement (...) that experts (at least experts whose success is not readily assessable) be required to explicate their judgments helps to mitigate the threat of siloed expertise and endarkenment. Further, I argue that grappling directly with the institutional structures that encourage narrow and isolated hyperspecialists in academia can be a way to avoid endarkenment problems. The current landscape of academia, with its valorization of narrow disciplinary expertise, is neither necessary nor sustainable. In order to change this landscape, we need to understand how current incentives construct epistemic niches, and what we might change in order to reshape the ecology of academia. (shrink)