In the management of the Covid 19 crisis, digital technologies were used in a major way. This article defends the hypothesis that these technologies took the form of a “tacit social experimentation”. This article justifies this concept in three levels. The first part uses this concept to qualify the form of biopolitics that was implemented to manage the crisis. Digital technologies were used to discipline the population and, literally speaking, as instruments of knowledge of the population. Uncertainty forced experts to (...) make preliminary observations and act to produce knowledge. Second, this article shows that the use of digital technologies during the crisis was experimental in a second sense. By promoting telemedicine within a more flexible legal framework, the authorities authorised an experimental use of telemedicine without knowledge or control of its side effects. Finally, the article defends the use of the concept of “tacit social experimentation” for ethical and political purposes. For indeed, understanding the experiments carried out during the crisis begs the question of the involvement of the participants and their democratic steering. (shrink)

The article takes the renewed popularity and interest in epidemiological modelling for Covid-19 as a point of departure to ask how modelling has historically shaped epidemiological reasoning. The focus lies on a particular model, developed in the late 1920s through a collaboration of the former field-epidemiologists and medical officer, Wade Hampton Frost, and the biostatistician and population ecologist Lowell Reed. Other than former approaches to epidemic theory in mathematical formula, the Reed-Frost epidemic theory was materialised in a simple mechanical analogue: (...) a box with coloured marbles and a wooden trough. The article reconstructs how the introduction of this mechanical model has reshaped epidemiological reasoning by shifting the field from purely descriptive to analytical practices. It was not incidental that the history of this model coincided with the foundation of epidemiology as an academic discipline, as it valorised and institutionalised new theoretical contributions to the field. Through its versatility, the model shifted the field’s focus from mono-causal explanations informed by bacteriology, eugenics or sanitary perspectives towards the systematic consideration of epidemics as a set of interdependent and dynamic variables. (shrink)