معرفی
Daphne Odekerken is a Researcher at the AI & Data Science department of Utrecht University, with a focus on Responsible AI. She works at the National Police Lab AI, a collaborative initiative between the Dutch National Police, Utrecht University, and TU Delft, where she implements argumentation-based AI systems for law enforcement applications.
- Research Areas: Computational Argumentation, Human-in-the-Loop Decision Support, Legal AI, Algorithmic Complexity, and Music Information Retrieval
Her publications (2022-2024) explore stability/relevance detection in incomplete argumentation frameworks, ASPIC+ reasoning under uncertainty, and the development of the PyArg visualization tool. Key contributions include efficient algorithms for high-complexity problems and their application in police case analysis.
Recent work includes
- Groundbreaking analysis of justification status in precedent models (2024)
- Complexity classifications for ASPIC+ reasoning (2024)
- Interactive IAF visualization systems (2024)
Scientific recognition includes the Donald Berman Best Student Paper Award (2023). She has developed several open-source tools:
- PyArg for argumentation visualization
- DECIBEL for audio chord estimation
- ForgettingWeb for knowledge base simplification
