Eymard Houdeville

Biography

Eymard Houdeville is a machine learning engineer from the Ecole Centrale Paris, and holds a master’s degree in contemporary philosophy co-habilitated by the École normale supérieure and the Ecole des hautes études en science sociale. Currently a research intern at Idemia, his work focuses on the study of new neural network architectures for computer vision. In philosophy, Eymard is interested in the philosophy of science and the epistemology of data analysis: what is the place of the principle of simplicity in experiments involving gigabytes of data? His dissertation focuses on the production of ignorance and the crisis of non-reproducibility in contemporary science: how can we explain the invasion of absurd correlations and fallacious results in contemporary science? Concerned about the social and political consequences of these new ways of knowing and therefore acting, Eymard has taken part in several popular science projects, including a European tour of hackerspaces in 2016. Eymard also holds a degree in mathematics from the Sorbonne and from Sciences Po Paris.

Conference: Does going faster really save time?

Our daily lives seem to revolve around ubiquitous accelerations. Automated transport, automatic proofreaders, search engines, notifications… We’re used to finding out the result of a crucial election in real time, or logging on so as not to miss the next live goal in a thriller. Access to information is so fast that the distance between us and events in the present seems to be fading, and the time between us and events in the near future seems to be shrinking. Digital technology even proposes to speed up our private lives by organizing romantic encounters at the click of a button! But does going faster really save us time? This is the question that six students will take time to discuss during this round table. Their aim will be to highlight the relationship between millenials and today’s fast-paced society.