18 Dec 15:00
Researchers throughout academia, industry, and government are generating data at scales and levels of complexity far beyond what could previously have been imagined. Complex data demand statistical models that are sufficiently flexible to adapt to meaningful, underlying signals, allowing scientists to discover unexpected patterns. Yet as society relies more heavily on statistical algorithms to make decisions impacting everyday life, it becomes increasingly important for a method's output to be interpretable by non-experts. This demands parsimony: that simpler explanations be favored over more complicated ones.
11 Jan 09:00
Book workshop at Maastricht University, Faculty of Law
89 Mar 11:00
This workshop is in the context of an international book project, Great Christian Jurists in the Low Countries, in the Cambridge Law and Christianity Series (Cambridge University Press).