CV
Education
- PhD in Fairness in Information and Computing Sciences, Utrecht University, 2026 (expected)
- Researching fairness, bias detection, and transparency in music recommender systems
- Teaching Information Sciences courses & supervising BSc / MSc theses
- Advisors: Dr. Hanna Hauptmann, Prof. dr. ir. Judith Masthoff
- MSc in Communication and Information Studies (cum laude), Tilburg University, 2014
- Human Aspects of Information Technology
- Thesis: ‘Predicting Emotion from Sound Features’ (grade: 8,5)
- BA in Communication and Information Studies, Utrecht University, 2012
- Intercultural Communication and Communication Studies
- Minor: English Language, Literature and Culture
- Thesis: ‘The Effect of Conceptual Complexity on Fluency’
Work experience
- July 2023 - Oct 2023: Research Intern Personalization
- Tech Research @ Spotify, Amsterdam, The Netherlands
- Researching popularity bias mitigation in podcast recommendations
- Advisors: Dr. Azin Ghazimatin, Prof. Ben Carterette
- Tech Research @ Spotify, Amsterdam, The Netherlands
- May 2019 - Aug 2021: Research Engineer & Secretary of the Works Council
- R&D team @ Textkernel, Amsterdam, The Netherlands
- Software developer and computational linguist working on semantic recruitment technology
- Working on machine learning-driven products using Python, TensorFlow, Perl, SQL, Kubernetes, Docker, Gitlab, Jenkins, Elasticsearch, Grafana
- Elected as Secretary of the Works Council in January 2020
- Leader of the Metrics Circle, a group focused on facilitating data-driven approaches within the company
- Daily supervisor for a 6-month student project from the Hogeschool van Amsterdam (HvA)
- Dec 2017 - Apr 2019: Data Quality Analyst
- Jobfeed Data Quality team @ Textkernel, Amsterdam, The Netherlands
- Maintaining & improving data quality of Jobfeed, a job overview tool containing 1 billion+ jobs from 11 countries
- Developing monitoring/analysis scripts (using Python, Jobfeed API, SQL, Git, Jenkins)
- Improving and automating internal processes within team & company (automated about 1 fte)
- Evaluating quality, analyzing results, improving vacancy parsing (Python, Excel, Perl)
- Managing a team of ~10 part-time employees
- Apr 2015 - Jan 2017: Data Management Specialist
- Data Management team @ JACOBS DOUWE EGBERTS, Utrecht, The Netherlands
- Responsible for maintenance and quality of data flows concerning customer, territory and employee master data. Committed to capturing trends in these flows. Developing scripting to automatize data management processes
- Oct 2014 - Mar 2015: Intern
- Appen, Australia
- Analyzing, evaluating and improving AppenText, a crowdsourcing-driven translation platform
Professional Activities
Languages
- Dutch: Native
- English: Business fluent
- German: Intermediate
- French: Beginner
- Mandarin Chinese: Beginner
Skills
- Programming
- Python
- Perl
- R
- SQL
- VBA
- Data Science
- TensorFlow
- Pandas
- SpaCy
- Prodigy
- scikit-learn
- MS Access, Excel
- Visualisation & Metrics
- Matplotlib
- Kibana
- Grafana
- DevOps
- Docker
- Kubernetes
- GitLab
- Jenkins
- Project Management
- Scrum
- Agile
Publications
How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems
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.
Looking at the FAccTs: Exploring Music Industry Professionals’ Perspectives on Music Streaming Services and Recommendations
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.
FAccTRec 2023: The 6th Workshop on Responsible Recommendation
Ekstrand, M., Garcia-Gathright, J., Sonboli, N., Raj, A. & Dinnissen, K. (2023). FAccTRec 2023: The 6th Workshop on Responsible Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys `23), September 18, 2023, Singapore, Singapore. New York, NY, USA: Association for Computing Machinery, 1267–1268.
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
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.
A Stakeholder-Centered View on Fairness in Music Recommender Systems
Dinnissen, K. & Bauer, C. (2022). A Stakeholder-Centered View on Fairness in Music Recommender Systems. In Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation (FAccTRec `22) co-located with the 16th ACM Conference on Recommender Systems (RecSys). New York, NY, USA: Association for Computing Machinery.
Improving Fairness and Transparency for Artists in Music Recommender Systems
Dinnissen, K. (2022). Improving Fairness and Transparency for Artists in Music Recommender Systems. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR `22). New York, NY, USA: Association for Computing Machinery, 3498.
Fairness in Music Recommender Systems: A Stakeholder-centered Mini Review
Dinnissen, K. & Bauer, C. (2022). Fairness in Music Recommender Systems: A Stakeholder-centered Mini Review. Frontiers in Big Data 5:913608. Lausanne, Switzerland: Frontiers Media SA.
The Sound of Valence: Phonological Features Predict Word Meaning
Dinnissen, K. & Louwerse M. M. (2015). The Sound of Valence: Phonological Features Predict Word Meaning. In Proceedings of the 37th annual Conference of the Cognitive Science Society (CogSci ’15). Austin, TX, USA: Cognitive Science Society.
Teaching
Talks
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Lightening talk at Dutch-Belgian Workshop on Recommender Systems, Antwerp, Belgium
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Invited talk at Search Engines Amsterdam (SEA) Meetup, Amsterdam, The Netherlands
Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Invited talk at Music Recommender Systems Workshop @ National University of Singapore, Singapore, Singapore
Dutch Music Artists’ Outlook on Strategy, Creativity, and Music Streaming Platform Influence During and After the COVID-19 Pandemic
Conference presentation at IAML Conference, Cambridge, England, United Kingdom
Fairness in Music Recommendation: Encoding human values into computer algorithms
Guest lecture at Jönköping University, Jönköping, Sweden
Fairness in Music Recommender Systems
Invited talk at Utrecht University, Utrecht, The Netherlands
Language & Software: Application of Natural Language Processing at Textkernel
Guest lecture at Radboud University, Nijmegen, The Netherlands