Forskningsområder

Research areas include the intersection of computer science and the humanities, with a focus on computational approaches to decision-making, recommender systems, fairness, and explainability. This work explores how intelligent systems can support and influence human choices, with attention to both the technical design of algorithms and the broader implications of their use. Key themes include developing systems that are transparent, trustworthy, and responsive to user needs, while also considering questions of equity, accountability, and interpretability. The aim is to better understand how complex data-driven systems can be designed to work effectively and ethically, drawing on both technical methods and critical perspectives. Ongoing work explores how AI is reshaping software engineering workflows and programming education, tracking paradigms across the emerging Engineering Stack