I am an Assistant Professor and Ad Astra Fellow in the School of Politics and International Relations at University College Dublin. My research focuses on political representation, party competition, political communication, public opinion, and quantitative text analysis. My work has been published or is forthcoming in journals such as the American Political Science Review, The Journal of Politics, the British Journal of Political Science, Political Communication, the European Journal of Political Research, and Political Science Research and Methods, among others.
I lead two funded research projects. The first project assesses environmental and energy policies in comparative perspective. The project is embedded into the multidisciplinary energy research programme NexSys. The second project, funded by the Swiss National Science Foundation, analyses grant peer review reports using computational text analysis and machine learning.
I am a core member of the Connected_Politics Lab, co-author of the quanteda R package, and maintainer of the Irish Polling Indicator. I founded the Text and Policy Research Group, comprising three PhD students and two postdoctoral researchers. I have been selected as a member of the Young Academy Ireland.
– Text and Policy Research Group
Forthcoming.
“Nostalgia in European Party Politics: A Text-Based Measurement Approach.” British Journal of Political Science (with Sven-Oliver Proksch).
[PDF]
2023.
“Relationship between Journal Impact Factor and the Thoroughness and Helpfulness of Peer Reviews.” PLOS Biology 21(8): e3002238 (with Anna Severin, Michaela Strinzel, Matthias Egger, Tiago Barros, Alexander Sokolov, and Julia Vilstrup Mouatt).
[PDF]
[Nature Q&A]
[Data, Code, and Classifiers]
2023.
“Reactions to Experts in Deliberative Democracy: The 2016–2018 Irish Citizens’ Assembly.” Irish Political Studies online first (with Garrett Kennedy and Tomás Maher).
[PDF]
[Data and Code]
2023.
“Evidence for the Irrelevance of Irrelevant Events.” Political Science Research and Methods 11(2): 311–327 (with Liam Kneafsey).
[PDF]
[Data and Code]
2023.
“Leader of the Pack? Changes in ‘Wolf Warrior Diplomacy’ After a Politburo Collective Study Session.” The China Quarterly 254: 484–493 (with Samuel Brazys and Alexander Dukalskis).
[PDF]
[Data and Code]
2023.
“How Slack Facilitates Communication and Collaboration in Seminars and Project-Based Classes.” Journal of Educational Technology Systems 51(3): 303–316.
[PDF]
[Data and Code]
2022.
“Issue Ownership and Agenda Setting in the 2019 Swiss National Elections.” Swiss Political Science Review 28(2): 190–208 (with Fabrizio Gilardi, Theresa Gessler, and Maël Kubli).
[PDF]
[Data and Code]
2022.
“The Temporal Focus of Campaign Communication.” The Journal of Politics 84(1): 585–590.
Best Paper Award, Manifesto Corpus Conference (2018)
[PDF]
[Data and Code]
2022.
“Social Media and Political Agenda Setting.” Political Communication 39(1): 39–60 (with Fabrizio Gilardi, Theresa Gessler, and Maël Kubli).
[PDF]
[Data and Code]
2022.
“Voter Expectations of Government Formation in Coalition Systems: The Importance of the Information Context.” European Journal of Political Research 61(1): 111–133 (with Shaun Bowler and Gail McElroy).
[PDF]
[Data and Code]
2022.
“Building Research Infrastructures to Study Digital Technology and Politics: Lessons from Switzerland.” PS: Political Science & Politics 55(2): 354–359 (with Fabrizio Gilardi, Lucien Baumgartner, Clau Dermont, Karsten Donnay, Theresa Gessler, Maël Kubli, and Lucas Leemann).
[PDF]
[Data and Code]
2021.
“Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates.” American Political Science Review 115(4): 1242–1257 (with Constantine Boussalis, Travis G. Coan, and Mirya R. Holman).
Walter Lippmann Best Article of the Year Award, APSA Political Communication Section (2022).
[PDF]
[Data and Code]
2021.
“Are Irish Voters Moving to the Left?” Irish Political Studies 36(4): 535–555 (with Aidan Regan).
Best Paper Award, PSAI Annual Conference (Elizabeth Meehan Prize, 2021)
[PDF]
[Data and Code]
2021.
“The Incumbency Advantage in Second-Order PR Elections: Evidence from the Irish Context, 1942–2019.” Electoral Studies 71: 102331 (with Michael Jankowski).
[PDF]
[Data and Code]
2021.
“Social Media and Policy Responses to the COVID-19 Pandemic in Switzerland.” Swiss Political Science Review 27(2): 243–256 (with Fabrizio Gilardi, Theresa Gessler, and Maël Kubli).
[PDF]
[Data and Code]
2020.
“Media Coverage of Campaign Promises Throughout the Electoral Cycle.” Political Communication 37(5): 696–718.
[PDF]
[Data and Code]
2020.
“The Electoral Cycle Effect in Parliamentary Democracies.” Political Science Research and Methods 8(4): 795–802 (with Tom Louwerse).
[PDF]
[Data and Code]
2020.
“Campaigns and the Selection of Policy-Seeking Representatives.” Legislative Studies Quarterly 45(3): 397–431 (with Shaun Bowler and Gail McElroy).
[PDF]
[Data and Code]
2019.
“Do Voters Really Prefer More Choice? Determinants of Support for Personalised Electoral Systems.” Journal of Elections, Public Opinion and Parties 29(2): 262–281 (with Michael Jankowski).
[PDF]
[Data and Code]
2018.
“quanteda: An R Package for the Quantitative Analysis of Textual Data.” Journal of Open Source Software 3(30): 774 (with Kenneth Benoit, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, and Akitaka Matsuo).
Winner of the Society for Political Methodology Statistical Software Award (2020).
[PDF]
[Software Repository]
2018.
“Voter Preferences and Party Loyalty under Cumulative Voting: Political Behaviour after Electoral Reform in Bremen and Hamburg.”Electoral Studies 51: 93–102 (with Shaun Bowler and Gail McElroy).
[PDF]
2018.
“Assessing the Influence of Neutral Grounds on Match Outcomes.” International Journal of Performance Analysis in Sport 18(6): 892–905 (with Liam Kneafsey).
[PDF]
[Data and Code]
2023. Quanteda Tutorials (with Kohei Watanabe). https://tutorials.quanteda.io.
Text Analysis Using R (with
Kenneth Benoit).
[Draft Version]
Legislating Landlords: Private Interests, Issue Emphasis, and Policy Positions (with Jihed Ncib).
Mapping Digital Campaign Strategies: How Political Candidates Use Social Media to Communicate Constituency Connection and Policy Stance (with James P Cross, Derek Greene, and Martijn Schoonvelde).
Discourse Wars and ‘Mask Diplomacy’: China’s Global Image Management in Times of Crisis (with
Samuel Brazys and
Alexander Dukalskis).
[PDF]
Campaign Communication and Legislative Leadership (with Naofumi Fujimura).
Policymakers’ Awareness of Scientific Solutions Towards Carbon Neutrality (with Brian Boyle).
Do Legislators Learn how to be Legislators? The Life Cycle to Parliamentary Rhetoric (with Shaun Bowler, Gail McElroy, and Jihed Ncib).
If you would like to get access to the latest version of a paper, feel free to send me an e-mail.
Project Summary: Political parties, politicians, companies, and interest groups increasingly discuss how to achieve a net-zero carbon emissions future, but systematic evidence that tracks these political debates is still lacking. The project “Assessing and Explaining Environmental and Energy Policies in Comparative Perspective” seeks to identify the problems political actors raise and solutions they offer regarding renewable energy, sustainability, and water treatment. The project will also assess how companies and interest groups aim to reduce greenhouse gas emissions and help mitigate the impacts of climate change. By combining quantitative text analysis, human coding, and supervised machine learning, it will define and map (proposed) policies relating to the environment and sustainability, and provide recommendations for policymakers.
The project is part of NexSys, a newly established All Island SFI Strategic Partnership Programme. NexSys focuses on the transition to a net zero carbon energy system. It is a unique partnership bringing together a multidisciplinary research team, industry, and policymakers to tackle fundamental research questions to be addressed as part of the transition to net Zero. Hosted by UCD Energy Institute, NexSys brings together academics from nine institutions across the Island of Ireland (University College Dublin, Trinity College Dublin, Dublin City University, ESRI, Maynooth University, University College Cork, NUI Galway, Ulster University and Queen’s University Belfast) to work together to meet the unprecedented scale and complexity of the challenges associated with the energy transition.
Read a blog post on the NexSys website for more details on our project.
Project Funding: €183,018
Project Summary: Peer review plays an essential role in grant evaluation. External peer review reports by international experts contribute to assessing the feasibility and quality of grant applications and provide an essential basis for funding decisions. In addition, they help justify rejections and provide feedback, which may help applicants improve their research. Peer review thus has the power to influence which researchers and what kind of research receives funding and can subsequently be conducted. For funding organisations, peer review must fulfil these functions. Peer review reports should also be in line with their understanding of quality. Peer review should also enable fair, transparent, and efficient funding decisions and foster diversity in research (ideas, methodologies, and approaches) and researchers.
This research project is a collaboration between University College Dublin and the Swiss National Science Foundation. The project will analyse the texts of anonymised grant review reports along several dimensions using human coding and machine learning. We seek to conceptualise characteristics of grant peer review reports and classify a large corpus of review reports. The project investigates whether strategic initiatives and new evaluation procedures have the desired effects on the content and structure of review reports.
Project Funding: €276,099
You find more information about the team and our current projects on the website of the Text and Policy Research Group.
Parties and Party Competition (University College Dublin: Spring 2020, Autumn 2021, Spring 2023). [Syllabus]
Representation and Party Competition (University of Zurich: Autumn 2019, Spring 2020). [Syllabus]
Hope (Discovery Module; coordinated by Imelda Maher, UCD Sutherland School of Law: Spring 2023)
Introduction to Statistics (University College Dublin: Autumn 2020, Autumn 2021, Autumn 2022). [Syllabus]
Quantitative Text Analysis (University of Zurich: Spring 2019, Autumn 2019; University College Dublin: Spring 2022, Spring 2023, Spring 2024). [Syllabus]
Connected_Politics (University College Dublin; Spring 2021, Spring 2022). [Syllabus]
Political Representation and Policy Preferences (University of Zurich: Autumn 2019, Spring 2020). [Syllabus]
I maintain and continuously update a GitHub repository with the syllabi of all modules.
Quantitative Text Analysis for Beginners: University of Bergen (2023, 2019); UCD Geary Institute for Public Policy (2022); University of Lucerne (2021); University of Hamburg (2021); Scottish Graduate School of Social Science (2020); University of Bremen (2020, 2018); COMPTEXT (2020: Innsbruck; 2019: Tokyo); Swiss National Science Foundation (2019); Kobe University (2019); University of Düsseldorf (2019); Trinity College Dublin (2018); WZB Berlin (2018)
Creating Academic Personal Websites: Geneva Graduate Institute (2022); University of Lucerne (2022); University College Dublin (2020)
Data Wrangling and Visualisation: University College Dublin (2020); Trinity College Dublin (2017)
Reproducible Research with Git and GitHub: University College Dublin (2021)
I could also teach these workshops at your institution. Do not hesitate to contact me.
The Irish Polling Indicator is a joint project with Tom Louwerse. We combine all opinion polls for the Dáil Éireann into daily estimates of public support for Irish parties. We released a new Irish Polling Indicator website and provide datasets containing results from over 670 polls since 1983 and daily aggregated estimates from 1987 to 2023.
UCD Expertise featured the Polling Indicator and related research.
The figure below (updated automatically after the release of new polls) reports the most recent estimates of party support.
The Irish Demographic Polling Datasets collect aggregated results on vote intentions, satisfaction with the government, and popularity of party leaders. The data are available for all respondents and various subsamples, such as age groups, gender, social class, geographic region, and district magnitude. The database merged over 100 polls, published between 2011 and 2023. The data were collected in collaboration with Thomas Pluck and Paula Montano. The datasets can be accessed, visualised, and downloaded through an interactive dashboard.