Projects
Lifetime endurance excercise to prevent coronary artery disease. A comparison with late-onset endurance training and a sedentary lifestyle University of Antwerp
Lifetime endurance excercise to prevent coronary artery disease. A comparison with late-onset endurance training and a sedentary lifestyle. University of Antwerp
Lifetime endurance exercise to prevent coronary artery disease. A comparison with late-onset endurance training and a sedentary lifestyle. KU Leuven
The aim of this project is to validate lifetime endurance exercise as a way of coronary prevention and thus provide a scientific basis for the implementation of endurance exercise programs in Flanders. We want to identify risk factors that are associated with the occurrence of side effects of endurance exercise, namely the occurrence of atrial fibrillation and manifest myocardial fibrosis. Through a better understanding of the dose-response ...
Transcending quests for 'authentic' human experience: An empirical comparison of endurance walking and running KU Leuven
Physiological, morphological and biomechanical requirelents of the musculo-skeletal system of the lower leg for top sprinters and endurance runners Ghent University
Speed and stamina put competing demands on the design of our locomotor system and several traits of the lower leg are antaginistic pairs with respect to sprinting vs endurance running. This project aims to investigate the physiological and functional anatomical characteristics of the lower leg musculo-ckeletal system that promote excellence in either sprinting or endurance running.
Physiological, morphological and biomechanical requirements of the musculo-skeletal system of the lower leg for top spinters and endurance runners. University of Antwerp
Micro insurance Ghent University
Statistical learning for innovate and inclusive insurance products in a changing risk landscape KU Leuven
Insurance is a highly data driven business, where reliance on analytics for decision making is key. Actuaries design risk transfers and require appropriate methods to model, to estimate and to predict risks. Insurers collect fine-grained, high-dimensional data, where both the presence of covariates of different types (e.g., continuous, factor, spatial) as well as the volume of the data are challenging. At the same time, the response variables ...
Risk Pooling for Peer-to-Peer Insurance KU Leuven
Peer-to-peer insurance models, that jointly incorporate the forms of centralized insurer’s underwriting and decentralized peers’ risk sharing, are emerging. Under these innovative risk sharing forms, the risk is separated into two layers: the first below-deductible part is shared within a community, and the second above- deductible loss, exceeding the community’s risk-bearing capacity, is covered by an insurer. In this project, we plan to ...