Gave an introductory workshop on Bayesian statistics and how to apply Bayesian methods in the open-source statistical software JASP.

Creating an Environment to Study User Behavior in the Context of Web Search on Debated Topics.

Fairness Considerations in the Assessment of Work Engagement.

Developing a web-based demo for metrics that measure viewpoint-related ranking bias in search results.

Thesis: Perspective Discovery in Controversial Debates: An Exploration of Unsupervised Topic Models.

Co-organising BHCC 2021 as social chair; responsible for panel discussions and social events.

Co-organising the first ever yearly meetup of the Behavioural Data Science Master track at the University of Amsterdam. This event aims to be a space for current students, alumni, lecturers, and others involved in Behavioural Data Science to come together and share ideas.

Awarded for our paper “Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics”, presented at the seventh ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR).

Awarded for our paper “A Checklist to Combat Cognitive Biases in Crowdsourcing”, presented at the ninth AAAI Conference on Human Computation and Crowdsourcing (HCOMP).

Awarded for our paper “This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias”, presented at the 32nd ACM Conference on Hypertext and Social Media (HT).

Awarded for our proposal “Creating an Environment to Study User Behavior in the Context of Web Search on Debated Topics” to create an online study environment that can be used to study algorithmic and cognitive biases in web search.