David Grundmanns

David Grundmanns

David M. Grundmanns

University of Mannheim
Ph.D. Candidate

Biography

I am a Ph.D. Candidate in Political Science at the Graduate School of Economic and Social Sciences (GESS) of the University of Mannheim and previously a Research Associate at the Mannheim Centre for European Social Research (MZES) and the Collaborative Research Center 884 “Political Economy of Reforms.” My research is primarily situated in judicial politics, examining the strategic interactions between judicial institutions, political actors, and interest groups in different contexts. My methodological competencies encompass Bayesian and frequentist inference, simulation, Natural Language Processing (NLP), data visualization and automated scraping, as well as supervised classification and other machine learning methods utilizing R, Python and SQL.

I specialize in the use of quantitative methods to collect and analyze judicial decisions, public communication (e.g. press releases), and the positioning of courts in a common policy space with political actors. My research has been published or is forthcoming in leading journals, including the Journal of Politics, and presented at major international conferences such as the European Political Science Association (EPSA) and the European Consortium for Political Research (ECPR).

My doctoral research investigates how constitutional courts generate publicity for their decisions and the ways in which interest groups shape this publicity. Using quantitative text analysis and inferential statistical methods—including regression analyses, bootstrapping, and simulations—I systematically examine judicial procedures and decisions including briefs submitted to courts by various actors, the occurrence of oral hearings, and media coverage. Interest groups play a dual role: they participate directly through briefs and oral hearings, and indirectly as intermediaries who facilitate communication between courts, journalists, and the broader public. As such, they act as communication agents to courts. Empirically, I focus on the German Federal Constitutional Court and the Israeli High Court of Justice to assess the influence of interest groups on the courts’ public visibility.

In addition to my research activities, I have taught graduate and undergraduate courses in quantitative methods and data analysis at the University of Mannheim. I have also been a Visiting Research Fellow at the Faculty of Law of the Hebrew University of Jerusalem funded by the Minerva Foundation, a subsidiary of the Max Planck Society. Additionally, I served as a reviewer for the Journal of Politics and the Journal of Law, Economics and Organization.

Interests

  • Judicial Politics
  • Computational Text Analysis & NLP
  • Bayesian & Frequentist Inference
  • Separation of Powers
  • Machine Learning
  • Simulation & Data Visualization

Education

Ph.D. Candidate in Political Science
Graduate School of Economic and Social Sciences, University of Mannheim

Visiting Research Fellow
Faculty of Law, Hebrew University of Jerusalem

M.A. Political Science
University of Mannheim

B.A. Political Science
University of Mannheim

Research

Interest group influence on the politics of judicial procedure

David M. Grundmanns Last change: March 2024

Constitutional courts make final decisions to resolve important disputes but sometimes they face governments that oppose and potentially evade judicial decisions. In response to such challenges, courts employ procedural strategies,…

Presented at:
First Joint Global Politics of Law & Courts Workshop, Berlin/Atlanta, October 2022.

The Power of Words. Strategic judicial opinion-writing to influence politics and society.

Benjamin G. Engst, David M. Grundmanns, Thomas Gschwend Last change: June 2023

How do justices manage the transparency surrounding their decisions through strategic opinion-writing? To ensure compliance with decisions justices require public support. The more transparent the environment, the more likely the…

PDF

Presented at:
13th Annual Conference of the European Political Science Association (EPSA), Glasgow, June 2023.

Case complexity and the study of strategic behaviour at highest courts. The choice and implications of different measurement strategies to quantify case complexity.

David M. Grundmanns Last change: June 2023

Case complexity is a key predictor in many studies of judicial politics. Specifically, case complexity is used to explain judicial behaviour towards politics and society. However, the definition and operationalization…

Presented at:
13th Annual Conference of the European Political Science Association (EPSA), Glasgow, June 2023.

Mobilizing the Public. The Importance of Mediators for Judicial Decision-Making.

David M. Grundmanns Last change: September 2021

Highest courts need to rely on external actors to enforce compliance with decision-making. Therefore, courts seek to mobilize the public to hold governments accountable. In doing so, courts become constrained…

PDF

Presented at:
15th General Conference of the European Consortium for Political Research (ECPR), online, August 2021
11th Annual Conference of the European Political Science Association (EPSA), online, June 2021.

Do Constitutional Courts Write Their Opinions Differently Under Public Scrutiny?

David M. Grundmanns Last change: June 2020

How does public scrutiny affect the opinion-formation of highest courts? Established scholarship shows that public opinion impacts the outcome of judicial decision-making. However, while the focus of judicial politics research…

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Presented at:
14th General Conference of the European Consortium for Political Research (ECPR), online, August 2020
10th Annual Conference of the European Political Science Assocation (EPSA), online, June 2020.

Experience

Visiting Researcher

February 2024 - December 2024
Faculty of Law, Hebrew University of Jerusalem
Jerusalem
  • Quantitative analysis of the influence of interest groups on proceedings, public opinion, and judgments of the High Court of Justice in Israel
  • funded by “Minerva-Stiftung”, a subsidiary of the “Max-Planck-Gesellschaft”

Course Instructor

February 2021 - January 2022
University of Mannheim, Chair of Political Science, Quantitative Methods in the Social Sciences
Mannheim
  • “Quantitative Methods” for M.A. Data Science and M.A./Ph.D. Political Science with R, Git
  • “Data Analysis” for B.A. Political Science with Stata

Research Associate

November 2020 - January 2024
Mannheim Centre for European Social Research & Collaborative Research Center 884, University Mannheim
Mannheim
  • Automated text analysis of the Federal Constitutional Court’s decisions and press releases using natural language processing (NLP) and regular expressions (regex) for project: “Get the Word Out. The Formation and Political Impact of Judicial Opinion-Writing.”
  • Bayesian modeling strategy to position national and international courts in a common space with political actors (governments, parties) using Bayesian modeling for project: ”Measuring a common space and the dynamics of reform positions: Non-standard tools, non-standard actors.”
  • Hypothesis testing and validation (including regression analysis, bootstrapping, simulation).
  • Data collection (scraping), processing, and analysis using R, Python, and SQL

PHD Candidate

September 2019 - now
Graduate School of Economic and Social Sciences (GESS), University of Mannheim
Mannheim

Public perception of constitutional court decision and the influence of interest groups

Research Associate

September 2019 - December 2019
Collaborative Research Center 884 "Political Economy of Reforms", University of Mannheim
Mannheim
  • Quantitative Text Analysis of German Constitutional Court decisions to reveal latent policy preferences of the Court by Bayesian ideal point estimation on a common space with political actors (SFB 884, C4).
  • Development of automated data collection and automated text analysis with R and Python.

Research Assistant

October 2018 - August 2019
Collaborative Research Center 884 "Political Economy of Reforms", University of Mannheim
Mannheim
  • Data collection (scraping, mining) using regular expressions to collect references and briefs from decision published by the German Constitutional Court with R, Python
  • Network analysis with R

Research Assistant

August 2017 - December 2017
Chair of Business Informatics and Information Technology, Johann Wolfgang Goethe-University
Frankfurt a.M.
  • Content management for a comprehensive update of the Chair’s website (Typo3)

Annotator

June 2014 - November 2014
Mannheim Centre for European Social Research, University of Mannheim
Mannheim
  • Coding of TV coverage of the 2013 federal election for quantitative analyses of the “German Longitudinal Election Study.”

Skills

Python
R
Stata
SQL
Git
Docker
Microsoft 365
Excel
PowerBI
PowerPoint
Cron
HTML & CSS
WordPress

Awards & Honors

LGF Stipend 2024
State of Baden-Württemberg
Minerva stipend 2023
Minerva Foundation (subsidiary of the Max Planck Society)

Minerva stipend for a research stay at the Faculty of Law at Hebrew University of Jerusalem, supervised by Prof. Keren Weinshall.

GESS stipend 2019
Graduate School of Economic and Social Sciences, University of Mannheim
Best insights 2019
DataFest Germany 2019
DataFest Germany 2019 | Universität Mannheim
DataFest Germany 2019 | Universität Mannheim

Awards for MA Political Science Students

The DataFest Germany 2019 was a complete success for our students of the Master's Program in Political Science. A team of second year Master students won the award for ”Best Insight“. Congratulations to the ”Data Dealers“ — Na Hee Shin,  Ziad Elgendy, David Grundmanns, Yannick Deepen and Damir Gojsic — who convinced everyone in the jury from industry and academia. Our special congratulations go to our current student Ziad Elgendy and to David Grundmanns, our student assistants!

With that success the Best Insight award at the DataFest Germany went to political scientists from Mannheim for the third year in a row. 

Best use of outside data 2018
DataFest Germany 2018

Team award for “Best use of outside data”

DataFest Germany 2018: Awards for MA Political Science Students | Universität Mannheim
DataFest Germany 2018: Awards for MA Political Science Students | Universität Mannheim

The DataFest Germany 2018 was a complete success for the students of the Master's Program in Political Science: Two out of three teams won the awards for „Best Insight“ and „Best use of outside data“ against a competition from statistics and data science.

A Team of second year Master in Political Science students won the award for „Best Insight“. The Team „InDataVeritas“ consisted of Thomas Alcock, Erik Kückelheim, Viktoriia Semenova und David Weyrauch.

Another Team of first year Master in Political Science students won the awards for „Best use of outside data“. The Team „Stargazers“ consisted of Katya Beebe, David Grundmanns, Yannick Deepen, Oliver Rittmann und Rebecca Weiss. Our special congratulations go to Viktoriia Semenova and Thomas Alcock who are currently writing their Master Thesis at our chair and to Oliver Rittmann, our research student!

Teaching

Quantitative Methods

University of Mannheim  · Graduate  · M.A. Data Science, M.A. & Ph.D. Political Science  · Fall 2021

Data Analysis

University of Mannheim  · Undergraduate  · B.A. Political Science  · Spring 2021

Testimonials

Highly committed, thank you!

Big thanks to all instructors!

Very well structured course.