Projects
Perceptions of the Seriousness of Crime Phenomena among the Public and Criminal Justice Officials: What Is Their Impact on Criminal Policy Preferences and the Impact of Evidence on Such Perceptions and Preferences? KU Leuven
Can we trust preferences estimated from happiness data? Disentangling the Gordian knot of happiness, preferences and scaling factors. University of Antwerp
Empirical analysis of household consumption and marriage decisions: a structural approach based on revealed preferences KU Leuven
We focus on the empirical analysis of household consumption through structural models of individual preferences and within-household interactions. Our specific contribution is that we integrate marriage market (matching) dynamics into the modelling of household consumption. The marriage market defines the outside options (or threat points) of (adult) household members, which indirectly impacts the intrahousehold consumption allocation (e.g. ...
How Are Policymakers Influenced by What the Public Wants? An Experimental Study of the Effect of Public Opinion on Elite Preferences and Behavior. University of Antwerp
The role of social presence on moral decision-making : realistic settings for the understanding of utilitarian and deontological preferences Ghent University
In our modern societies, moral situations often refer to saving, hurting, condemning, or sparing peers. The direction of our moral preferences (e.g. utilitarian, deontological) is inherently shaped by social norms and social context. However, current experimental research on moral cognition suffers from two main limitations. First, while a wealth of research has examined individual’s moral preferences in single settings, no research to our ...
PROPEL: Physician Reported Preferences for End-of-life Decisions: a multinational cross-sectional mixed methods study Ghent University
Mid-level visual factors to predict human aesthetic preferences for images: A deep-learning approach based on Bayesian neural networks and latent diffusion models KU Leuven
The main goal of this PhD thesis is to develop a deep-learning model to predict human aesthetic preferences for images. The starting point is the existence of a benchmark preference data set, collected in an extensive online study with large samples of images of everyday scenes and paintings and large samples of observers (collected by a PhD student in psychology, who also works on the larger project to which both PhDs belong). In the first ...
Visual factors to predict human aesthetic preferences for images: A deep-learning approach based on Fast Fourier Convolution and Vision Transformers KU Leuven
The main goal of this PhD thesis is to develop a deep-learning model to predict human aesthetic preferences for images. The starting point is the existence of a benchmark preference data set, collected in an extensive online study with large samples of images of everyday scenes and paintings and large samples of observers (collected by a PhD student in psychology, who also works on the larger project to which both PhDs belong). The ...