Toine Bogers

Toine Bogers is an Associate Professor at the IT University of Copenhagen within the department of Data Science Networks, Data, and Society. His research focuses on recommender systems, information retrieval, and human resources technology. Key areas include multistakeholder evaluation frameworks, algorithmic fairness in recruitment, and social media-driven recommendation communities.

Research Projects

• FAIRMATCH: Investigates fairness in job recommendation systems funded by Innovation Fund Denmark (2024–2027).
• Pioneer Centre for Artificial Intelligence: Co-Investigator in a national initiative exploring AI ethics and applications (2021–2034).

Key Research Themes

Bogers explores how AI impacts human decision-making in domains like hiring, cultural heritage preservation, and casual leisure search. His work emphasizes multistakeholder evaluation methods to address ethical challenges in algorithmic systems. Recent studies analyze human recommendation communities on Reddit and the impact of large language models on known-item retrieval.

Collaborations & Datasets

Active collaborations include CHIIR (Conference on Human Information Interaction and Retrieval) and CLEF (Cross-Language Evaluation Forum). He has contributed datasets on data storytelling effects, video game re-finding behaviors, and social book search interactions, emphasizing reproducibility in IR research.

Professional Contributions

Organizes workshops such as RecSys in HR (Recommender Systems for Human Resources) and chairs the CHIIR impact assessment initiative. His work bridges academic research with practical applications in HR tech and AI governance.