Science,politics and regulation: The trust-based approach to the demarcation problem

Drawing on literature on values in science and a case-study of UK cancer policy, this paper argues for a novel account of the demarcation project in terms of trustworthiness. The first part of the paper addresses the relationship between science, politics and demarcation. In 2010, the UK government decided to pay more for cancer drugs than for drugs for other diseases; in 2016, this Cancer Drugs Fund was reformed so as to lower the evidential standards for approving cancer drugs, rather than paying more for them. Are these two ways of treating cancer as “special” importantly different? This paper argues that, if we the argument from inductive risk seriously, they seem equivalent. This result provides further reason to doubt the notion of demarcating science from non-science. However, the second part of the paper complicates this story, arguing that considerations of epistemic trust might give us reasons to prefer epistemic communities centred around “broadly acceptable” standards, and which are “sociologically well-ordered”, regardless of inductive risk concerns. After developing these claims through the cancer case-study, the final section suggests how these concerns might motivate novel versions of the demarcation project.     

How to make a university history of science museum: Lessons from Leeds

The historic scientific collections of well-established University Museums—the Whipple at Cambridge and the Museum of the History of Science at Oxford, for example—have long served in university teaching and as objects of research for historians. But what is involved in starting such a museum from scratch? This paper offers some reflections based on recent experiences at the University of Leeds. In a relatively short period, the Leeds project has grown from a small volunteer initiative, aimed at salvaging disparate scientific collections from all over the campus, to a centrally supported and long-term scheme to provide collections care, exhibitions, and public events, as well as material for teaching and research within history and philosophy of science. Recent work undertaken on a range of Leeds objects and collections, including a camera reportedly used to take the first X-ray diffraction photographs of DNA in the 1930s and the Mark 1 prototype of the MONIAC (Monetary National Income Automatic Computer), built and designed at Leeds in 1949 to model the flow of money through the economy, highlights the national and international significance of the University’s scientific heritage as well as the project’s ambition of providing students with on-going collections care responsibilities and object-research experience. Sketching possible futures for the Leeds project, the paper considers challenges confronting the heritage sector more broadly, and how those involved with historic scientific collections can make use of new opportunities for teaching, research, and public engagement.     

Model uncertainty and policy choice: A plea for integrated subjectivism

A question at the intersection of scientific modeling and public choice is how to deal with uncertainty about model predictions. This “high-level” uncertainty is necessarily value-laden, and thus must be treated as irreducibly subjective. Nevertheless, formal methods of uncertainty analysis should still be employed for the purpose of clarifying policy debates. I argue that such debates are best informed by models which integrate objective features (which model the world) with subjective ones (modeling the policy-maker). This integrated subjectivism is illustrated with a case study from the literature on monetary policy. The paper concludes with some morals for the use of models in determining climate policy.