Welcome!

I am a Ph.D. candidate and Research Associate at the Institute for Political Science of the Technical University of Darmstadt working at the intersection of Data Science and Political Science. Before that, I graduated from the University of Mannheim with a Master degree in Data Science. My work is centered around the analysis of multimodal political communication, encompassing various channels such as parliamentary speeches, political advertisements and social media.

Latest News

11/2023 — At the Annual Conference of the International Association for the Study of German Politics in Mannheim I will present our Multimodal Paper with Christian Arnold

10/2023 — Christian Arnold is presenting our paper about Making the Most of Multimodal Data at the 2023 PSAI Annual Conference in Belfast

07/2023 — Our paper, The Role of Hyperparameters in Machine Learning Models and How to Tune Them, a joint work with Christian Arnold, Luka Biedebach, and Marcel Neunhoeffer, has been accepted by Political Science Research and Methods (PSRM)

07/2023 — I am presenting our paper about multimodal alignment as well as joint work analyzing What we can and cannot learn from responses to legislative speeches (with Jochen Müller and Christian Stecker) at the 8th Conference of the Standing Group on Parliaments in Vienna

06/2023 — I am presenting our paper about multimodal alignment at the European Political Science Association 13th Annual Conference in Glasgow

News Archive

05/2023 — I am presenting my paper Non-random Tweet Mortality and Data Access Restrictions: Implications for the Study of Sensitive Topics on Twitter at COMPTEXT 2023 in Glasgow

05/2023 — Christian Arnold is presenting our paper about Making the Most of Multimodal Data at COMPTEXT 2023 in Glasgow

04/2023 — Spring 2023 Semester: Teaching Quantitative Text Analysis in R (Postgraduate seminar) at TU Darmstadt

03/2023 — Giving a guest lecture in Data Analysis via the Brückenprogramm of TU Darmstadt/National University of Kyiv-Mohyla Academy

02/2023 — Holding a 2-Day workshop on Getting started with Python: A how-to guide for social scientists together with Ruben Bach at the MZES Social Science Data Lab in Mannheim

10/2022 — Fall 2022 Semester: Teaching Introduction to Quantitative Methods in R (Postgraduate seminar) at TU Darmstadt

10/2022 — Presenting joint work with Jochen Müller and Christian Stecker about applause and interjections pattern in the German Bundestag at the DVPW meeting for comparative parliamentarism research in Bremen

06/2022 — Presenting joint work with Denis Cohen about estimating legislator-level issue salience and issue positions from political text @ PolMeth Europe 2022 in Hamburg as well as at EPSA 2022 in Prague

05/2022 — MZES SSDL blog post and input talk about the Collection, Management, and Analysis of Twitter Data

05/2022 — First day as a Research Associate and PhD Student at the department of Christian Stecker at Technical University of Darmstadt and co-supervised by Christian Arnold at Cardiff University

About my research Contact me

Andreas Küpfer

To address significant questions in Political Science, I employ a combination of (multimodal) deep learning models and traditional methods, contributing to both substantial and methodological research. In addition, I am passionate about teaching and imparting knowledge to others. As a research associate at TU Darmstadt, I instruct various postgraduate courses focused on quantitative methods with a focus on text-driven methods. Substantively, my interests primarily lie in the areas of political communication and legislative studies, which I believe are critical for understanding the complexities of modern political structures and discourse. As a team member of the Social Science Data Lab Blog based at the Mannheim Center for European Social Research (MZES), I do both, supporting the organization and implementation of workshops as well as contributing blog posts and input talks.

I’m happy to connect with you either via Bluesky, Twitter or by email.

Education

Ph.D. Student and Research Associate, Ongoing
Technical University of Darmstadt
M.Sc. in Data Science, 2022
University of Mannheim
B.Sc. in Business Information Systems, 2019
University of Applied Sciences Karlsruhe

Interests

Data Science
Text-as-data
Machine Learning
Multimodal Data Analysis
Political Communication
Parliaments

Research

The Role of Hyperparameters in Machine Learning Models and How to Tune Them (Forthcoming, Political Science Research and Methods)

Christian Arnold, Luka Biedebach, Andreas Küpfer, Marcel Neunhoeffer

PDF

How Alignment Helps Make the Most of Multimodal Data (Conference Paper, 2023)

Christian Arnold, Andreas Küpfer

Non-random Tweet Mortality and Data Access Restrictions: Compromising the Replication of Sensitive Twitter Studies (Working Paper, 2023)

Andreas Küpfer

BERT and Explainable AI (Blog Post, 2023)

Andreas Küpfer, Cosima Meyer

Code

What we can and cannot learn from responses to legislative speeches. Evidence from the German Bundestag, 1949-2021 (Conference Paper, 2022)

Andreas Küpfer, Jochen Müller, Christian Stecker

The housing crisis on social media: Housing markets and the subnational diversification of policy supply (Working Paper, 2022)

Denis Cohen, Andreas Küpfer, Tim Allinger

Collection, Management, and Analysis of Twitter Data (Blog Post, 2022)

Andreas Küpfer

Code Slides Video

Teaching

Spring 2023: Quantitative Text Analysis in R (Postgraduate seminar, Technical University of Darmstadt)
Fall 2022 & Fall 2023: Introduction to Quantitative Methods in R (Postgraduate seminar, Technical University of Darmstadt)
Spring 2017: IT Security and Operating Systems (Undergraduate tutorial, University of Applied Sciences Karlsruhe)
Fall 2016: Programming II (Undergraduate tutorial, University of Applied Sciences Karlsruhe)
Spring 2016: Introduction to Business Informatics (Undergraduate tutorial, University of Applied Sciences Karlsruhe)

CV

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