Thomas Tombal

Thomas Tombal
University of Namur | FUNDP · Research Center on IT and Law (CRID)

About

9
Publications
885
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27
Citations

Publications

Publications (9)
Article
Full-text available
Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but the c...
Article
Full-text available
The European Commission announced in its Data Strategy (2020) its intentions to propose an enabling legislative framework for the governance of common European data spaces, to review and operationalise data portability, to prioritise standardisation activities and foster data interoperability and to clarify usage rights for co-generated IoT data. T...
Article
Traditionally, according to EU competition law, if an undertaking holding a dominant position refuses to grant access to its data to another undertaking, this could potentially lead to an abuse precluded by Art. 102 TFEU. However, the scope of this provision is limited as it only applies to dominant undertakings. Yet, powerful data holders that do...
Conference Paper
Full-text available
Developing innovative and flexible public e-services, capable of adapting to the citizens' changing needs, has become crucial for public administrations. To help them with these challenges, the FLEXPUB research project aims at developing a federal Strategy for the implementation of flexible and innovative geographical public e-services. In order to...

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Projects

Projects (2)
Project
DIGI4FED aims to understand how big data can be used in the Belgian federal administration system to enable better public service provision through new technologies such as artificial intelligence and blockchain. By focusing on the technical, moral, legal and organisational conditions within the internal and external federal decision-making processes, DIGI4FED aims to develop a governance design that serves the administrative and public service processes of the Belgian federal government and makes full use of the potential offered by big data and its application via artificial intelligence and blockchain technology. The DIGI4FED research project receives funding from the Belgian Federal Science Policy Office - BELSPO, via contract [B2/191/P3/DIGI4FED].
Project
The main objectives of FLEXPUB are to develop a federal strategy for flexible public geospatial e-services in Belgium and a blueprint for enabling flexibility and innovation in the public sector. The sub-objectives of FLEXPUB are the following: - to provide an overview of status of the management of geospatial e-services at the federal government, and to value key processes (projects) dealing with this type of services; - to determine the key requirements for future e-service delivery of the federal government; - to identify the key enablers to achieve the changing e-service delivery requirements; - to validate the identified enablers by analysing case studies; - to set up a strategy for flexible public geospatial e-services; - to write a blueprint for adaptive and innovative government;