Certainly my favorite project: applying machine learning to education and then running a field experiment is taking its next steps to publication. In the making since 2019.
“Predicting NOx Emissions in Biochar Production Plants Using Machine Learning” published at NeurIPS 2024
So excited to have our paper published at one of the three leading conferences on Machine Learning.
“Investment into Identity in the Field – Nudging Refugees’ Integration Effort” finally printed in the European Journal of Political Economics
More than 6 years after the conception the project I kicked my PhD off with was published and printed.
“Rank Response Functions in an Online Learning Environment” published in Economic Letters
I am exited that the best short communication journal in economics decided to publish our paper!
New Discussion Paper published: “Rank Response Functions in an Online Learning Environment”
Using data from an online learning platform Valentin Wagner, Isabell Zipperle and I estimated the rank response function. It is downloadable at RePEc. Here is the abstract and the main figure: We estimate rank response functions after receiving rank-order feedback […]
New Experiment in the Field: AI-powered Adaptive Learning
On July 15th a new intervention that is joined work with Marius Köppel, Daniel Schunk, and Isabell Zipperle went live. We want to find whether the predictive power of a convolutional neural network can take adaptive learning to the next […]
Revise and Resubmit for “Investment into Identity in the Field – Nudging Refugees’ Integration Effort”
On June 20th my first field experiment received a “Revise and Resubmit” at the European Journal of Political Economics! We currently revise the paper based on the comments of two helpful reviewers and are looking forward to release a new […]