👋, I'm Dr. Jelle Teijema
ADS Researcher at Utrecht University
Hi! I am an applied data science researcher at Utrecht University, using applied data science, open science, generative AI, and behavioral science in my research.
My work focuses on machine learning for systematic reviews, explainability, active learning, reproducibility, and open science practices that make evidence synthesis more transparent and efficient.
Pss, looking for Kitten Quad 🐈?
Research Areas
My work sits at the intersection of applied data science and the social and behavioral sciences, with a focus on machine learning for systematic reviews, explainability, active learning, reproducibility, and open science practices that make evidence synthesis more transparent and efficient.
Applied Data Science
Data science helps turn complex datasets into predictions and new insights by developing algorithms and models.
Machine Learning
Models improve prediction, classification, and decision-making across text and scientific workflows.
Open Science
Transparency, reproducibility, and FAIR data practices are central to my work.
Generative AI
Generative AI is used carefully and minimally, with an emphasis on reproducibility, consistency, and fairness.
Natural Language Processing
NLP techniques are used to understand and analyze scientific text.
Systematic Review Automation
Tools accelerate and enhance evidence synthesis with active learning.
Recent Publications
Simulation-based Active Learning for Systematic Reviews: A Scoping Review of Literature
Journal of Information Science • 2025/12/17
Echo State and Band-pass Networks with aqueous memristors: leaky reservoir computing with a leaky substrate
Chaos: An Interdisciplinary Journal of Nonlinear Science • 2025/9/12
Large-scale simulation study of active learning models for systematic reviews
International Journal of Data Science and Analytics • 2025/5/2