We develop a model for point processes on the real line, where the intensity can be locally unbounded without inducing an explosion. In contrast to an orderly point process, for which the probability of observing more than one event over a short time interval is negligible, the bursting...

A review of the basic theory of optimal open-source software contributions points to three key factors affecting supply: non-pecuniary benefits, future expected monetary returns, and open-source licence type. This paper argues that existing large-scale software developer surveys are inadequate...

Statistics data are the result of a complex scientific research process. Based on rigorous procedures, statistical research offers a bigger quantity of data from various domains, to specialists and wide public. This considerable quantity of statistics data illustrate on the one hand an extension...

I argue that economists have reasons internal to the way that evidence works in the sciences to re-discover the importance of the history of their own discipline. For it is a constitutive element of science - here conceived as an ongoing research practice (as opposed to as an explanatory...

In this essay, written for a symposium on surveillance for the University of Chicago Law Review, I examine some common difficulties in the way that liberty is balanced against security in the context of data mining. Countless discussions about the trade-offs between security and liberty begin by...

This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the timing of decisions is endogenous: professional chess. Move-by-move data provide exceptionally detailed and precise...

Game-theoretic trees vary in complexity. To rank trees by their complexity, this paper relies on the subjects' behavior to empirically derive a measure of tree complexity. Data comes from the mobile app Blues and Reds, designed specifically to conduct experiments. The sample consists of 6,637...

Does machine learning and AI ensure that social biases thrive ? This paper aims to analyse this issue. Indeed, as algorithms are informed by data, if these are corrupted, from a social bias perspective, good machine learning algorithms would learn from the data provided and reverberate the...

This paper presents novel evidence for the prevalence of deviations from rational behavior in human decision making – and for the corresponding causes and consequences. The analysis is based on move-by-move data from chess tournaments and an identification strategy that compares behavior of...