Past Projects

2021-2025

Description

Judicial cooperation in criminal matters and mutual recognition models in the EU still need to be fully harmonized across Member States. There is a gap between EU law and national law, as standards of protection may not have the same substantial meaning in EU law and in domestic jurisdictions. FACILEX aimed to fill this gap by tailoring legal knowledge to achieve accurate decision-making. It provided a multilevel online platform grounded on a comprehensive comparative legal analysis, focusing on the implementation of EU mutual recognition instruments in different Member States.  

Researchers

Rohan Nanda, Menno Dolman, Gijs van Dijck 

2022-2024

Description

The CLASSICA Project aims to validate AI-driven cancer classification technology for surgeons. It brings together experts in colorectal cancer, precision surgery, AI and technology, biomedical law and ethics, surgical training, and surgical guidelines. The Lab contributed legal expertise to examine issues of liability for AI-driven technologies in medicine. CLASSICA is funded by the European Union's Horizon Programme, Project No. 101057321.

 Researcher

Mindy Nunez Duffourc 

2022

Description

Inspired by the #MeToo movement, this project developed a chatbot to assist survivors of sexual harassment. The project aimed to: (1) help survivors find help by directing them to appropriate institutions, and (2) increase the incident documentation and remedy underreporting. This project approached the problem using three data science/machine learning components: harassment type identification (treated as a classification problem), spatio-temporal information extraction (treated as Named Entity Recognition problem) and dialogue with the users (treated as a slot-filling based chatbot). The initial validation of the chatbot showed great potential for further development and deployment.

Researchers

Tobias Bauer, Emre Devrim, Misha Glazunov, William Lopez Jaramillo, Balaganesh Mohan & Gerasimos Spanakis

2020-2023

Description

Flying Forward 2020 (FF2020) was a three-year collaborative research project that developed a new Urban Air Mobility (UAM) ecosystem aligned with the Digital Government Transformation (DGT) of European countries, which focused on incorporating UAM within the geospatial data infrastructure of cities. Building and incorporating all related data from UAM infrastructures and operations within the digital infrastructure of cities will allow helping society to fly forward in a safe, secure and effective way. The Lab's work package focused on transforming legislative provisions into machine-interpretable code. This project was funded by the EU H2020 R&I Programme under Grant No. 101006828.

Researchers

Gijs van Dijck, Shashank Chakravarthy, Rohan Nanda, Daniel On

2020-2023

Description

Funded by the ERASMUS+ Programme, RECOGNISE developed an interdisciplinary training curriculum on legal reasoning and cognitive science, to fill a gap in legal higher education. The project provided legal researchers, law students, legal practitioners, and other interested learners with an online handbook, video lectures, summer schools, and other online and on-campus activities on topics including heuristics and biases in adjudication, cognitive structure of legal concepts, and defeasible reasoning in law. 

Researchers

Antonia Waltermann, Jaap Hage, Rūta Liepiņa, Kody Moodley

2020-2022

Description

Suppliers of free digital content can profit from consumers' private information, implicating  EU data protection and consumer law. Further, behavioral research has demonstrated that consumers tend to overestimate the benefits and underestimate non-monetary costs of free digital content in the form of exposure to advertisements. Yet, it is still unknown how free offers influence consumer decisions from a legal perspective, i.e., decisions that involve consumer rights and privacy. FreeDigital addressed this knowledge gap. The project was funded by the Marie Skłodowska-Curie Actions within the EU's Horizon 2020 framework.

Researcher

Monika Leszczyńska

2020-2021

Description

One of the most typical applications of algorithms and big data by online sellers, is the use of profiling to personalise prices, advertisements, shopping experiences etc. to manipulate consumers and optimise sellers’ turnover. These manipulative techniques often cross the line of the prohibition of unfair commercial practices and infringe the rights of consumers. This project explored whether automated generation of persona (based on big data) can be used in combination with a mystery shopping bot, to help them in detecting these infringement by online sellers in a more efficient, less time-consuming way. The project was funded by Idea Generator (NWA-IDG), grant no. NWA.118.192.297.

Researchers

Caroline Cauffman, Pedro V. Serrano Hernandez

2020-2021

Description

Financial crimes committed across borders by companies and other entities in the EU are becoming increasingly difficult to detect and prevent. This project built a Knowledge Graph to help tell a connected story about EU corporate mobility from disconnected data sources. This project is funded by a NWO Idea Generator (NWA-IDG) (grant number NWA.1228.192.285).

Researchers

Kody Moodley, Marcus Meyer-Erdmann, Rūta Liepiņa, Pedro V. Hernández Serrano