- This event has passed.
Arnaud Pocheville (University of Sydney, Australia), An Introduction to Measuring Causal Specificity
6 April 2018 | 14 h 30 min - 16 h 00 min
Several authors have argued that causes differ in the degree to which they are ‘specific’ to their effects. Woodward has used this idea to enrich his influential interventionist the- ory of causal explanation. Here we propose a way to measure causal specificity using tools from information theory. We show that the specificity of a causal variable is not well de- fined without a probability distribution over the states of that variable. We demonstrate the tractability and interest of our proposed measure by measuring the specificity of coding DNA and other factors in a simple model of the production of mRNA.
Based on: Paul E. Griffiths, Arnaud Pocheville, Brett Calcott, Karola Stotz, Hyunju Kim, and Rob Knight, Measuring Causal Specificity, Philosophy of Science (2015).
Full text available
Details on Arnaud Pocheville’s research
Ann-Sophie Barwich (Indiana University Bloomington, USA), The Limits of Current Machine Learning Models in Olfaction13 October | 17 h 00 min - 18 h 30 min
Maya J. Goldenberg (University of Guelph, Canada), A War on Science? Rethinking Vaccine Hesitancy and Refusal19 October | 17 h 30 min - 19 h 00 min