Edward Abel

Edward Abel is an Associate Professor in the Department of Design, Media and Educational Science at the University of Southern Denmark. His research focuses on computational approaches to decision-making, fairness, and explainability in AI systems, particularly in how these systems influence human choices. He explores technical algorithm design alongside ethical implications, emphasizing transparency and accountability. Abel holds a PhD in Computer Science and participates in external roles such as the Steering Committee of the eXplainable Artificial Intelligence Hub.

• Education: PhD in Computer Science

His research interests span computational decision-making systems, recommender systems, and the intersection of computer science with humanities disciplines. He investigates how AI can be designed to align with user needs while addressing equity and interpretability challenges. Notable contributions include studies on fairness in pandemic policy decisions and the development of the VADA architecture for data wrangling.

Abel’s work often bridges technical innovation with critical social inquiry, aiming to ensure AI systems are both effective and ethically robust. His recent projects include analyzing UK COVID-19 restrictions through dominance-based rough sets analysis and exploring diversity in music recommendation systems.

He collaborates extensively with interdisciplinary teams and has published over 30 peer-reviewed articles. His datasets, such as the UK COVID-19 restriction dataset, are widely referenced in academic research and policy discussions.