Daria Jadreškić

In this paper, we use the case of the COVID-19 pandemic in Europe to address the question of what kind of knowledge we should incorporate into public health policy. We show that policy-making during the COVID-19 pandemic has been biomedicine-centric in that its evidential basis marginalised input from non-biomedical disciplines. We then argue that in particular the social sciences could contribute essential expertise and evidence to public health policy in times of biomedical emergencies and that we should thus strive for a tighter integration of the social sciences in future evidence-based policy-making. This demand faces challenges on different levels, which we identify and discuss as potential inhibitors for a more pluralistic evidential basis.

In this commentary, I propose a framework for thinking about data quality in the context of scientific research. I start by analyzing conceptualizations of quality as a property of information, evidence and data and reviewing research in the philosophy of information, the philosophy of science and the philosophy of biomedicine. I identify a push for purpose dependency as one of the main results of this review. On this basis, I present a contextual approach to data quality in scientific research, whereby the quality of a dataset is dependent on the context of use of the dataset as much as the dataset itself. I exemplify the approach by discussing current critiques and debates of scientific quality, thus showcasing how data quality can be approached contextually.

I argue that we need to distinguish between three concepts of actual causation: total, path-changing, and contributing actual causation. I provide two lines of argument in support of this account. First, I address three thought experiments that have been troublesome for unified accounts of actual causation, and I show that my account provides a better explanation of corresponding causal intuitions. Second, I provide a functional argument: if we assume that a key purpose of causal concepts is to guide agency, we are better off making a distinction between three concepts of actual causation.

In the near future we may be able to manipulate human embryos through genetic intervention. Jürgen Habermas has argued against the development of technologies which could make such intervention possible. His argument has received widespread criticism among bioethicists. These critics argue that Habermas's argument relies on implausible assumptions about human nature. Moreover, they challenge Habermas's claim that genetic intervention adds something new to intergenerational relationships pointing out that parents have already strong control over their children through education. In this paper a new approach to Habermas's theory is suggested which makes clear that he has a strong point against genetic intervention. A more charitable reading of Habermas with respect to his assumptions concerning human nature is presented. Moreover, Habermas's assumption concerning the power of genetic controlling is evaluated. By means of a close comparison of genetic and educational control it is shown that Habermas's argument relies on much weaker assumptions than generally understood.