The goal of this cross-disciplinary collaboration is to design and implement a novel data management and analytics framework for medical data sources. The focus is on explainable machine learning methods as well as on legal and ethical aspects of the predictive models.

This project aims to make AI fair, transparent, and just, ensuring it benefits everyone in society. By addressing biases in healthcare and education, we’re working to build AI systems that serve society equitably and responsibly.

Research project within DDLS and WASP-HS which aim to investigate how the implementation of AI can be promoted in healthcare, and what ethical and legal aspects such implementation should take into account.

What are the regulatory challenges when designing new systems for waste management? The topic will be explored in this research project. Our aim is to expand the understanding of interactions between environmental sustainability, local regulations and digital innovation.