Work Package 1. Developing innovative tools to tackle Network data
This work package is led by the team at Katholieke Universiteit Leuven (KUL). The group has made landmark contributions in the area of Business Analytics, such as in Credit Risk Management. With two Research & Innovation Projects, Work Package 1 addresses cutting-edge issues in Network Science, motivated by the pressing needs in the banking and the insurance industry.
Katholieke Universiteit Leuven 
Jonas Klingwort (Centraal Bureau voor de Statistiek)
Universidad de Sevilla Sebastian Santana Ruiz (Universidad de Chile)
Work Package 2. Cutting-edge modelling to enhance Interpretability
This work package is led by the team at Copenhagen Business School (CBS). This is a group with a long-standing expertise in the field of Mathematical Optimization, and a key contributor to the area of Analytics and Big Data. Work package 2 advances the state-of-the-art in the well-established field of interpretable Data Science tools, improving performance and developing novel measures of interpretability.
For more information on what our Early Stage Researchers (ESRs) have been working on in WP2, click on the names below and take a look at their video presentations:
Geographica Marcela Galvis Restrepo (Copenhagen Business School)
Duke University Jeanette Walldorf (Copenhagen Business School)
Danmarks Statistik Thomas Ian Ashley (Universidad de Sevilla)
Danmarks Statistik Cristina Molero del Río (Universidad de Sevilla)
Universidad de Sevilla Jonas Klingwort (Centraal Bureau voor de Statistiek)
Work Package 3. Addressing the challenges of Complex data arising in Industry
This work package is led by the team at University of Oxford (UOXF). This group has a world-class track record in carrying out research in Visual Analytics, is a key contributor to the development of this burgeoning area, and has an invaluable expertise in knowledge transfer activities. Work Package 3 addresses the problem of how to analyze complex data, namely event and process data that vary over time, that abound at our industrial participants.
For more information on what our Early Stage Researchers (ESRs) have been working on in WP3, click on the names below and take a look at their video presentations:
Centraal Bureau Voor de Statistiek Yu Zhang (UOXF)
Work Package 4. Innovative Extraction of knowledge by jointly addressing data processing and data analysis
This work package is led by the team at Universidad de Sevilla. This is a group with a long-standing expertise in the field of Mathematical Optimization, and a key contributor to the area of Mathematical Optimization and Supervised as well as Unsupervised Learning. Work Package 4 extracts knowledge by jointly addressing data processing and data analysis, a nascent and challenging area of research with a huge potential in terms of improved performance of Data Science tools. The knowledge extracted will be used to build scenarios to deal with data uncertainty, which is at the heart of the problems faced by our industrial participants.
For more information on what our Early Stage Researchers (ESRs) have been working on in WP4, click on the names below and take a look at their video presentations:
Danmarks Statistik María Remedios Sillero Denamiel (Universidad de Sevilla)
Danmarks Statistik Sandra Benítez-Peña (Universidad de Sevilla)