Research projects, open science initiatives, teaching resources, and data analysis side projects I lead or contribute to.
Interactive, openly available teaching units on scientific reporting and collaborative data management, developed for the Virtuelle Hochschule Bayern (vhb) with Prof. Dr. Sarah Diefenbach.
Since 2023, I have been a Catalyst of the Berkeley Initiative for Transparency in the Social Sciences (BITSS), developing and sharing open science training materials – supported by a BITSS Catalyst Grant.
Volkswagen Foundation project (2023–2025) on how to make AI-enabled health technology usable, trustworthy, and safe in clinical practice. I was Principal Investigator of the Munich work package and co-led the Human–AI Interaction Group at LMU Munich.
Since 2023, I have been a recommender for the Peer Community in Registered Reports (PCI RR), handling submissions, inviting reviewers, and evaluating Stage 1 and Stage 2 reports.
I used golem to build a shiny application for entrepreneurs based on the answers they provided in a survey about errors they made during the early business phase.
I used natural language processing (NLP) tools in R to analyse texts entrepreneurs wrote about the errors that happened in their business over the past two weeks. Most entrepreneurs in the sample were from India and the Netherlands, operating in various industries.
We used natural language processing (NLP) tools in R to analyse newspaper articles about revenge bedtime procrastination. We preselected articles that contain the keyword “revenge bedtime procrastination” in the title.