Projects

Data Science of Digital History (D4H)  (University of Luxembourg) 

Widespread digitization of historical artifacts and the explosive growth of online sources has catapulted historians into an 'age of abundance'.  Unfortunately, historians’ traditional research methods were never developed to cope with this bounty. Making sense of 'big data of the past' requires new approaches to data, analysis, visualization, and interpretation – a project that must draw on expertise from the disciplines of both history and data science.

We have created a doctoral training unit called Deep Data Science of Digital History (D4H) for PhD students to work across scientific disciplines. The D4H project encourages collaboration between history and data science. D4H is organized in three themes: (1) Deep data & knowledge, (2) Deep analytics & learning, (3) Deep visualization & interpretation, with an overarching research theme: the notion of time in digital history. 

Colleagues working on project: Richard Albrecht, Prince Yaw Gharbin, and many more. 

More information: https://www.c2dh.uni.lu/projects/data-science-meets-digital-history-d4h 

EXPECTATION (CHISTERA) 

Personalized Explainable Artificial Intelligence for decentralized agents with heterogeneous knowledge.

Explainable AI (XAI) has recently emerged proposing a set of techniques attempting to explain machine learning (ML) models. The recipients (explainee) are intended to be humans or other intelligent virtual entities. In this project we develop explainable AI systems, that provide explanations that are personalized to the user and interactive. We use the QT robot to test whether embodied conversational agents (social robots) are more trustworthy that regular user interfaces. Explanations are tested in the food and health domain. 

Partners: University of Applied Sciences and Arts Western Switzerland, Università di Bologna, University of Luxembourg, Özyeğin University, Luxembourg Institute of Science and Technology.

Colleagues working on project: Amro Najjar, Igor Tchappi, Benoit Alcatraz

More information: https://expectation.ehealth.hevs.ch  

Previous projects

2018 – 2023 IMPACT (Tilburg University)

Develop an architecture for contract negotiation and monitoring to give users more control over their personal data. Project written with prof. dr. S. van Gulijk (Tilburg Law School). Project executed by Kartik Chawla (Tilburg School of Economics and Management, now at TNO).  Expected PhD defense: May 17, 2024. 

2014 – 2018 SATIN (NWO Topsector Logistics)

Risk assessment methods in international supply chains, based on our ideas about model-based auditing, project initiated and written with prof.dr. A. Veenstra (TUE), prof.dr. Y.H. Tan (TU Delft). This project built on our long-term collaboration with the Customs Administration.