Organisations

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ADReM Data Lab (ADReM) University of Antwerp

Responsible
ADReM focuses on foundational research in the areas of databases, knowledge management, and data mining. Our research entails: - the design of both centralized and distributed database architectures for the scalable support of structured, semi-structured, and graph-oriented data models; - the study of formal query languages for the above data models, as well as the development of efficient processing and query-optimization techniques for ...

Data Analytics Laboratory Vrije Universiteit Brussel

Responsible

The VUB Data Analytics Laboratory develops and adapts data-analytical tools and algorithms from fields such as machine learning and artificial intelligence which fully account for the operational setting in which the resulting analytical model or decision support system will be deployed and operated. For instance, domain expertise and business requirements with respect to the application at hand need to be acknowledged, so as to ...

Statistics and Data Science KU Leuven

Responsible

The research of this unit focuses on the development of new statistical methods and techniques for data science with special attention on computational statistics, data visualisation, the development of fast algorithms and software, and the investigation of the theoretical properties of the newly developed methods.

ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics KU Leuven

The Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics (STADIUS) is an academic research center, with a research focus on mathematical engineer- ing, where mathematical tools from numerical linear and multi-linear algebra, statistics and optimization are used for applications of dynamical systems and control, signal processing, data modeling and analytics. STADIUS offers recognized expertise in diverse application ...

Data Science Institute Hasselt University

Responsible
The Data Science Institute brings together the expertise of different groups within UHasselt, and focuses its research on the following topics:
- scalable data management and wrangling
- domain knowledge analysis
- data modelling, machine learning and statistics
- data exploration - design innovation

Data lab Research Institute for Nature and Forest

Het Data lab verleent technische ondersteuning aan (EV) INBO onderzoekers voor alle data-gerelateerde aspecten, van beheer over verwerking tot publicatie. De missie van zijn teamleden is de nodige kennis, tools en documentatie aan te bieden om de datastromen op het INBO reproduceerbaar en open te maken. Dit gebeurt in grote mate projectmatig, zowel voor intern als extern gefinancierde projecten. Er wordt hiervoor ook samengewerkt met ...

Data Science Hub VITO (Flemish institute for technological research)

Data Science is the combination of modern statistics with advanced ICT technologies and exhaustive domain knowledge. We are using this to make the transition towards a more data-driven research approach. Whilst a scientific approach traditionally begins with gaining insight into the physical processes, Data Science first relies on the data to build usable products or services.

Dynamical Systems, Signal Processing and Data Analytics (STADIUS) KU Leuven

Responsible

The Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics (STADIUS) is an academic research center, with a research focus on mathematical engineer- ing, where mathematical tools from numerical linear and multi-linear algebra, statistics and optimization are used for applications of dynamical systems and control, signal processing, data modeling and analytics. STADIUS offers recognized expertise in diverse application ...

Information and Data Centre Research Institute for Nature and Forest

Three teams – Information (documents, metadata), Data (databases, applications, incl. GIS) and IT Operations (ICT infrastructures) – together form the Information and Data Centre (IDC) on biodiversity and its applications for nature conservation in Flanders. The IDC ensures professional, high-quality acquisition and storage of data, information and knowledge supplied by an active network of external and INBO researchers, and the accessibility ...

Statistics and data analysis University of Antwerp

The need to analyze data occurs in many situations. In the natural sciences, the objective is often to discover structures and underlying patterns. In medical and pharmaceutical work, one wants to determine the most effective drug or treatment. In economics and business one tries to make predictions, as accurately as possible. In computer science and engineering, huge amounts of data need to be analyzed for computer vision, data mining, and ...