Projects
Using big data to strengthen the evidence about effects of prescribing and deprescribing of medications in older people with limited life- expectancy Vrije Universiteit Brussel
Medications are beneficial and needed to treat symptoms and
diseases, but some medications have questionable benefits at the end of life. These medications with questionable benefits are suitable for deprescribing. Deprescribing means stopping or tapering a medication.
Up to now, we do not know the effects of changes in medication use (e.g. deprescribing ...
Predictive Modelling and Big Data Analytics for Risk Management KU Leuven
We will be working on developing new analytical tools as well as models for accurate risk monitoring and subsequently for prediction. Grounded on the advances in data science (big data, alternative data) and financial technology, the target applications of the research project will cover industry-wide practices pertaining to the credit risk, systemic (cyber) risk, and global market risk that financial institutions are heavily exposed, ...
Clinical image quality targets in dental cone-beam CT, set and controlled with anthropomorphic test objects, virtual observers, and big data KU Leuven
Tensor decompositions for multi-modal Big Data analytics KU Leuven
Tensor decompositions that generalize low-rank matrix decompositions to multi-modal data are gaining importance in several fields, such as machine learning, neuroscience, scientific computing, and signal processing. I propose a 4-step framework for Multimodal Exploratory Analysis of Data: first, the large-scale data is compressed; second, a suitable generalized additive tensor decomposition is constructed from the compressed tensor via ...
A quantitative analysis of the variation and socio-spatial inequality in (intra-)urban human mobility using big data KU Leuven
Our view on the city has changed from looking at the city as a mechanical structure that can be rationally planned and artificially changed to seeing the city as a dynamic urban system that continuously responds to both internal and external changes. Some of these changes arise ‘naturally’, while others are brought on by deliberate planning, design, or policy interventions aimed at changing aspects of our human behavior within these urban ...
BYTE: Big data roadmap and cross-disciplinarY community for addressing socieTal Externalities Vrije Universiteit Brussel
Understanding Insurance in the Era of Big Data and Personalization of Risk KU Leuven
The Ivory Tower can't keep ignoring Tech" (O'Neill, 2017). This New York Times op-ed calling for interdisciplinary research on the accountability of big data and machine learning could not be more timely. As in many other domains of social life, hypes and fears on the ‘disruptive’ potential of big data in insurance abound. The use of fine-grained data and machine learning in insurance can result in the ‘personalization of risk’, posing ...
A formal approach to querying big data Hasselt University
The implementation of big data policing in the infrastructure of security services: towards an industrial Proof of Concept Ghent University
Prof Dr Wim Hardyns has conducted pioneering research into the use of big data and predictive analytics within the fields of security, making him one of Europe's foremost experts on big data policing. As evidence of his expertise, a big data policing model (a statistical script) has been built from scratch as part of different academic research projects into big data policing. This script includes data input pipelines, pre-processing, and ...