Publicaties
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Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project) : study design and rationale Universiteit Gent
Background Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data. Unfortunately, those data are fragmented in silos with different data structures or formats and cannot be used to improve understanding of the disease, monitor its progress, and generate evidence to guide prevention measures. The objective of this project is ...
Merging science education, citizen science and general population noise exposure data collection in the battle against noise pollution Universiteit Gent
Science, Technology, Engineering, Mathematics in education is commonly referred to as STEM. The last decades illustrate that our society is transferring into an ever accelerating technological environment. In parallel, the general public became an important driving force in collecting citizen science data to trigger legislative pressure and impact on policy makers to accelerate the improvement of their quality of life. That practice is currently ...
Data Science Approaches for the Analysis and Interpretation of Training Load Data of Athletes KU Leuven
Research on the analysis of real-world sports data dates back at least to 1958 (Lindsey 1959; Rubin 1958). Advances in technology have caused an explosion of the amount of sports-related data about sports. The abundance of data has attracted the interest of both the academic community and the industry. The aim of this sports analytics community is to leverage the available data to help decision makers to gain a competitive advantage (Alamar and ...
The impact of data quality filtering of opportunistic citizen science data on species distribution model performance Instituut voor Natuur- en Bosonderzoek Universiteit Gent KU Leuven
Data sharing platforms: instruments to inform and shape science policy on data sharing? KU Leuven Universiteit Gent
DATA INFRASTRUCTURES FOR COHORT STUDIES: STIMULATING DATA SHARING THROUGH INCENTIVES AND SCIENCE POLICY MEASURES KU Leuven
This PhD thesis is aimed at exploring how incentives and science policy measures could stimulate data sharing of cohort studies by researchers.