Using data driven methods from statistics and machine learning, my work lies at the intersection between social science and computer science.
Recently, I have been working quite a bit with neural networks to study data privacy and institutions in governance. Some of my projects have had a particular focus on Latin America.
You can read my Political Science papers in the Journal of Politics or International Interactions, among others. I presented my findings relevant to Computer Science for example at the International Conference on Machine Learning and the Theory and Practice of Differential Privacy Workshop Series.
August 2020 I was promoted to Senior Lecturer this year. Science is always a team effort, so a big ‘thank you’ to all collaborators.
August 2020 Marcel Neunhoeffer (Mannheim) and I have our paper Really Useful Synthetic Data — Promises and Challenges of Releasing Sensitive Information With Differentially Private Data Synthesizers accepted at CSS 2020. We will present the poster at the workshop on Theory and Practice of Differential Privacy.
July 2020 Marcel Neunhoeffer (Mannheim) and I will present our working paper Really Useful Synthetic Data — Promises and Challenges of Releasing Sensitive Information With Differentially Private Data Synthesizers at this year’s ICML in the EcoPaDL workshop. [paper]
July 2020 Our paper Hidden in Plain Sight? Detecting Electoral Fraud Using Statutory Results with Michelle Brown (NDI), J. Andrew Harris (NYU AD) and Zach Warner (Cardiff) is at this year’s XXXVII Polmeth. [paper]
June 2020 Benjamin Engst (Mannheim), Thomas Gschwend (Mannheim) and finished a new working paper: Scaling Lower Court Decisions. [paper]
June 2020 I spoke at CogX: “Using Artificial Intelligence to Address Electoral Integrity Issues” presents our project with Michelle Brown (National Democratic Institute), J. Andrew Harris (NYU Abu Dhabi) and Zach Warner (Cardiff) and showcases our efforts to detect voting fraud in even remote areas of developing countries. [youtube]
May 2020 Marcel Neunhoeffer (Mannheim) and I gave a quick overview over our working paper on the utility of differentially private synthetic data at the First OpenDP Community Meeting. [presentation, paper]
May 2020 David Doyle (Oxford), Nina Wiesehomeier (I.E. School of Global Public Affairs) and I have a new working paper: How Presidents Answer the Call of International Capital. [paper]