Posts by Collection

activities

Awards

  • 2024: Best Full Conference Paper, runner-up, RecSys, Bari, Italy
  • 2023: Best Student Paper Nominee, UMAP, Limassol, Cyprus
  • 2023: ‘Pluim’: Teaching Award in recognition of distinguished teaching, Ontwerpen van Interactieve Systemen, 2022-2023, Utrecht University

Grants

  • 2025: Travel Grant Awardee, Aspasia Travel Fund to visit RecSys, 2025, Prague, Czech Republic
  • 2023: Travel Grant Awardee, ISMIR 2023, Milan, Italy
  • 2023: ACM Student Travel Grant Awardee, UMAP 2023, Limassol, Cyprus
  • 2023: Travel Grant Awardee, RecSys Summer School 2023, Copenhagen, Denmark

Organization

  • 2024-Present: Co-Chair, Women in RecSys (RecSys committee)
  • 2023-Present: Co-Organizer, Fairness, Accountability and Transparency in Recommender Systems (FAccTRec) Workshop @ RecSys
  • 2023-Present: Committee Member, Utrecht University Informatics Research Advisory Committee (IRAC)
  • 2023-Present: Member, Open Science Community Utrecht (OSCU)
  • 2022-2025: Co-chair, Human-Centred Computing group meeting, Utrecht University
  • 2021-2022: Co-Lead, Preparation Committee ICS PhD Council, Utrecht University
  • 2020-2021: Secretary & Co-Founder, Textkernel Works Council
  • 2019-2021: Metrics Circle Lead, Textkernel

Peer Review

  • 2025: Reviewer, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), ACM
  • 2025: Reviewer, User Modeling and User-Adapted Interaction (UMUAI), Springer
  • 2025: Program Committee, 19th ACM Conference on Recommender Systems (RecSys)
  • 2025: Program Committee, 33rd ACM International Conference on User Modeling, Adaptation and Personalization (UMAP)
  • 2025: Program Committee, 26th International Society for Music Information Retrieval Conference (ISMIR)
  • 2025: Program Committee, 3rd Workshop on Human-Centric Music Information Research (HCMIR23) @ ISMIR
  • 2024: Reviewer, Transactions on Recommender Systems (TORS), ACM
  • 2024: Reviewer, User Modeling and User-Adapted Interaction (UMUAI), Springer
  • 2024: Program Committee, 18th ACM Conference on Recommender Systems (RecSys)
  • 2024: Program Committee, First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood) @ RecSys
  • 2023: Reviewer, Transactions on Recommender Systems (TORS), ACM
  • 2023: Reviewer, User Modeling and User-Adapted Interaction (UMUAI), Springer
  • 2023: Program Committee, 2nd Workshop on Human-Centric Music Information Research (HCMIR23) @ ISMIR

Service

  • 2023: Expert Consultant for Expo New Urban City Lab, Ethical Data Center @ Fontys Academy for the Creative Economy, Tilburg, The Netherlands
  • 2023: Student Volunteer (on-site), RecSys, Singapore, Singapore
  • 2023: Student Volunteer (on-site), UMAP, Limassol, Cyprus
  • 2022: Student Volunteer (on-site), RecSys, Seattle, United States
  • 2021: Student Volunteer (online), RecSys, Amsterdam, The Netherlands

blogs

portfolio

publications

Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms

Full Conference Paper, 2023

Recommended citation: Dinnissen, K. & Bauer, C. (2023). Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms. In Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP `23), June 26-29, 2023, Limassol, Cyprus. New York, NY, USA: Association for Computing Machinery, 12 pages. https://doi.org/10.1145/3565472.3592960

Looking at the FAccTs: Exploring Music Industry Professionals’ Perspectives on Music Streaming Services and Recommendations

Full Conference Paper, 2023

Recommended citation: Dinnissen, K., Saccardi, I., Vredenborg, M. & Bauer, C. (2023). Looking at the FAccTs: Exploring Music Industry Professionals’ Perspectives on Music Streaming Services and Recommendations. In Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter (CHIGreece `23), September 27-28, 2023, Athens, Greece. New York, NY, USA: Association for Computing Machinery, 1-5. https://doi.org/10.1145/3609987.3610011

How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems

Full Conference Paper, 2023

Recommended citation: Dinnissen, K. & Bauer, C. (2023). How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems. In Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR `23), November 5-9, 2023, Milan, Italy. 1-10. https://dspace.library.uu.nl/bitstream/handle/1874/432127/2023_ISMIR_Dinnissen_Bauer.pdf

talks

teaching

Men, Society and ICT

Information Sciences 1st year bachelor course, Utrecht University, 2021

Involved in the course in ‘21/’22 (click for list of tasks)

Information exchange

Information Sciences 1st year bachelor course, Utrecht University, 2021

Involved in the course in ‘21/’22 (click for list of tasks)

Design of interactive systems

Information Sciences 1st year bachelor course, Utrecht University, 2024

Involved in the course in ‘21/’22, ‘22/’23, and ‘23/’24 (click for list of tasks)

Adaptive Interactive Systems

Human Computer Interaction / Business Informatics master course, Utrecht University, 2024

Involved in the course in ‘22/’23, ‘23/’24, and ‘24/’25 (click for list of tasks)

Computer Science Bachelor Honors project supervision

Supervision, Utrecht University, 2024

Co-supervising a Computer Science bachelor’s honors project with Hanna Hauptmann. From October 2024 until June 2025, a group of three students built a controllable interface for music recommendation and listening.

Sound & Music Technology

Game and Media Technology master course, Utrecht University, 2024

Involved in the course in ‘23/’24 and ‘24/’25 (click for list of tasks)

Human Computer Interaction Master Thesis Supervision

Supervision, Utrecht University, 2025

  • 2025-Present: TBA, Simon Menke
  • 2024-2025: (De)Composing the Algorithm: Explaining Music Recommender Systems to Artists for Understanding, Transparency, and Empowerment, Zuzanna Michalewicz
  • 2023-2024: Mitigating Popularity Bias in Music Recommender Systems: Effects on Fair Exposure, User Perception, and Motivation for Exploration, Robin Ungruh