I am a PhD Candidate in Political Science at Trinity College Dublin and hold the Government of Ireland Postgraduate Scholarship from the Irish Research Council and a TRiSS Research Fellowship. My PhD thesis analyses the perception, coding, coverage, and fulfilment of election pledges.
Methodologically, I focus on a combination of quantitative methods, crowd-coding and natural language processing. I am a core contributor to the quanteda R package and co-author of a website with step-by-step tutorials for quantitative text analysis using R.
In collaborative projects I work on government support throughout the legislative cycle; the relationship between campaign effort and legislative activity; preference distribution under cumulative voting; citizens’ (dis)approval of personalised electoral systems; challenger quality as a moderator of the incumbency advantage; and voters’ expectations of coalition formation.
PhD in Political Science, 2015–Current
Trinity College Dublin
M.Sc. in Politics and Public Policy, 2014–2015
Trinity College Dublin
B.A. in Political Science, 2011–2014
University of Bonn
Bowler, Shaun, Gail McElroy, and Stefan Müller. 2018. “Voter Preferences and Party Loyalty under Cumulative Voting: Political Behaviour after Electoral Reform in Bremen and Hamburg.” Electoral Studies 51: 93–102. –
“Prospective and Retrospective Salience: A Novel Concept of Campaign Strategies and Policy Preferences” (Winner of the 2018 Manifesto Corpus Conference Best Paper Award).
“Improving the Reliability and Efficiency of Extracting Election Pledges from Political Text: A Combination of Crowdcoding and Automated Sentence Classification.”
“Explaining Government Support Throughout the Legislative Cycle: A Comparative Analysis” (with Tom Louwerse; under review).
“Challenger Quality as a Moderator of the Incumbency Advantage in Personalised PR Systems: Applying the Regression Discontinuity Design to Irish Local Elections” (with Michael Jankowski).
If you would like to get access to the latest version of a paper, feel free to send me an e-mail.
2017: Data Wrangling and Visualisation Using R, Trinity Research in Social Science (TRiSS): slides and code
Introductions to Text Analysis
Quanteda tutorials: a website with a step-by-step introduction to quantitative text analysis using quanteda designed for workshops on text analysis
A short German introduction to quantitative text analysis with quanteda: a tutorial based on the 100 most popular Carnival songs from Cologne.
Vignettes and Cheat Sheet
quanteda features: comparison of quanteda to alternative R and Python packages for quantitative text analysis
quanteda cheat sheet : a cheat sheet with the most important functions
Textual data visualization: plot word frequencies, wordclouds and results of text scaling models
Dictionary analysis in R: Dictionary-based sentiment analysis and UK-US spelling conversion with quanteda.dictionaries
readtext vignette: import a variety of text files into R
Replications Using quanteda
Text Analysis with R for Students of Literature: replicate the analysis from Matthew Jockers’ book with quanteda functions
Quantitative Social Science: An Introduction: replicate the part on text analysis from Kosuke Imai’s textbook.
With Michael Jankowski I am a developing TADA - The Text as Data App, a graphical user interface (GUI) for quantitative text analysis. TADA can be accessed online or by running the GUI in R. Feedback is very welcome as the project is work in progress.
|2015–Current||Trinity College Dublin:
PhD Candidate in Political Science
|2014–2015||Trinity College Dublin:
M.Sc. in Politics and Public Policy (First class honors)
|2011–2014||University of Bonn:
B.A. in Politics and Sociology (Summa cum laude)
|2015–Current||Trinity College Dublin, Department of Political Science:
Research Assistant and Teaching Assistant
|2014||German Institute for International and Security Affairs (SWP):
Intern in Research Division “EU External Relations”
|2013–2014||Bonn Academy for Research and Teaching of Applied Politics:
|2012–2014||University of Bonn, Institute of Political Science and Sociology:
|2017–2018||TRiSS Postgraduate Research Fellowship,
Trinity Research in Social Science (TRiSS)
|2016–2019||Government of Ireland Postgraduate Scholarship,
Irish Research Council
|2015–2016||Postgraduate Ussher Fellowship,
Trinity College Dublin
|2011–2015||Undergraduate and Graduate Fellowship,
German Academic Scholarship Foundation
(Studienstiftung des deutschen Volkes)