I am a Professor of Political Science and Empirical Democracy Research in the School of Social Sciences at the University of Mannheim and scientific director of the German Internet Panel (GIP). I was born in Austria but grew up in Mexico, Germany, Saudi Arabia, Singapore and Thailand, and now commute to and from Slovenia. Before coming to Mannheim, I held academic positions at Goethe University Frankfurt, the University of Essex, the University of Berne and the University of Konstanz. I study the socio-structural and psycho-cultural requisites of democracy with a strong focus on problems of social cohesion and conflict. My current research involves the politics of free speech and censorship, citizens’ preferences for migration policy, and the civic consequences of wartime sexual violence. I also have a keen interest in quantitative political methodology, including Bayesian methods, data visualization and survey experiments. My work has been published in American Journal of Political Science, British Journal of Political Science, Comparative Political Studies, and Political Analysis, among others.
Today, I will present new findings on cancel culture in German academia at the Academy of Sociology online meet-up.
Our new study on cancel culture at German universities (in cooperation with the Zeit Foundation Bucerius, DIE ZEIT, and colleagues) is now out!
Today, I will give a talk on “How Racist is the German Federal Police?” at the DeZIM 2024 conference Migration – Conflict – Solidarity.
I study democratic challenges that arise from profound societal change: global migration and religious diversity, free speech in the digital age, the rural-urban divide in politics, as well as the legacies of civil war and sexual violence. This research combines an interest in empirical democracy research, quantitative political methodology and evidence-based public policy.
DFG Research Group FOR 5173 “Reconfiguration and Internalization of Social Structure (RISS)”
Profound change in social structure has repercussions for social and political orientations. Social scientists have documented rising political alienation and polarization as well as the surfacing of new cleavages that challenge existing systems of resource allocation and representation. Relating these trends to underlying shifts in social structure poses a critical puzzle. How can we reconcile the notion of a dissolving ‘individualized’ social structure or the end of a ‘politicized’ social structure with humans’ propensity to attach themselves to groups and with current social and political conflicts? Social structural change and its connection to social and political orientations is more complex than research has commonly acknowledged. A classic notion holds that the social and political cohesion of a society is best served when its social structure is characterized by ‘cross-cutting cleavages’ where individuals hold multiple overlapping social positions. Yet, this notion fails to account for the fact that after decades of social mobility and diversification we see less, not more system-stabilizing orientations in advanced economies. The RISS research unit brings together scholars of social structure with political sociologists and proposes a fresh view. Whereas the social structure has changed dramatically, it retains its power to shape the life and orientations of individuals. What we witness is not a dissolution, but a reconfiguration of social structure and a corresponding internalization of newly emerging social positions and group memberships. As former socio-structural dimensions lose their orientating and conflictive force, new dimensions take their place. In order to grasp the social and political transformation of our times, we need to take a closer look at these new social structures and understand how they shape the views, beliefs and preferences of individuals. The key to this understanding is to view social structure as fundamentally multidimensional where numerous social positions combine in intricate ways. Scholars have focused on single dimensions including education, socio-economic status, gender relations as well as migration and ethnic diversity. What we lack, is an understanding of how changes in these dimensions combine to produce reconfigurations in the current social structure. We also need to grasp how individuals internalize and make sense of these reconfigurations, especially new combinations of formerly disconnected social positions. And we must learn how these changes affect individual and collective behaviors and outcomes. We aim to establish a multidimensional conceptualization of social-structural change and develop innovative empirical strategies to capture this complexity. The promise of our approach lies in the ability to build richer theories of how the social structure shapes individual and collective orientations and outcomes and, ultimately, in a better understanding of our troubled times.
Funded by Deutsche Forschungsgemeinschaft (DFG) 2021-2025 (Speaker: Daniela Grunow, Goethe University Frankfurt, Co-Speaker: Richard Traunmüller, University of Mannheim)
RISS 1: “CoRE – Conceptualizing Reconfiguration for Empirical Research” (TR 1334/5-1, with D. Grunow & Y. Khoudhja)
RISS 8: “The Effect of Social Structure, Discrimination and Violence on Muslims in Germany” (TR 1334/6-1, with C. Ruhe & S. Roßteutscher)
Papers:
Grunow, D., Sachweh, P., Schimank, U. & Traunmüller, R. (2023). Social Integration: Conceptual Foundations and Open Questions. An Introduction to this Special Issue. Kölner Zeitschrift für Soziologie und Sozialpsychologie 75 (Suppl 1), 1-34.
Grunow, D., Sachweh, P., Schimank, U. & Traunmüller, R. (2023). What We Have Learned About Social Integration: Conclusion. Kölner Zeitschrift für Soziologie und Sozialpsychologie 75 (Suppl 1), 415–430.
Göbel, S., Traunmüller, R. & Schmidt-Catran, A. (2023). Measuring Multidimensional Social Identification Using a Conjoint Experiment. Working paper.
Immigration, Integration, and Naturalization: New Immigrants, Policy Decisions and Citizens’ Responses
The way migration flows and immigrant integration are regulated has become of crucial interest in both scholarly and public debates. While there is now ample research on the general question of whether more or less migrants should be allowed to access one’s country we still know very little about how specific regulations are perceived by citizens and how they impact on their attitudes and behaviours and thus, ultimately, their acceptance of newcomers. This project aims at providing evidence-based answers to the following question: What are the consequences of immigration, integration and naturalization policies for citizens’ attitudes and actual behaviour related to the acceptance of new immigrant groups? In order to reach our intended research goals we will design a survey including different survey experiments which will be conducted among the general native population in Germany. The experiments will allow us to identify the causal impact of policies on attitudes and behaviour in a more thorough way. To get a more nuanced picture of policy effects we will confront respondents with policies by means of survey vignettes. Finally, to get a grasp of the rational interests of ordinary citizens we will measure the effects of policies on attitudes towards migrants as a function of the degree of agreement with these policies and as a function of whether these policies change the status quo for natives (or not).
Funded by Deutsche Forschungsgemeinschaft (DFG) 2019-2021 (TR 1334/3-1, with Marc Helbling, Bamberg/WZB)
Traunmüller, R. & Helbling, M. (2022). Backlash to Policy Decisions: How Citizens React to Immigrants’ Rights to Demonstrate. Political Science Research & Methods 10(2): 279 – 297.
Helbling, M., Jäger, F. & Traunmüller, R. (2022). Muslim Bias or Fear of Fundamentalist Religion? A Survey Experiment in Five Western European Democracies. Research & Politics doi.org/10.1177/20531680221088491.
Helbling, M., Maxwell, R., Munzert, S. & Traunmüller, R. (2022). The importance of citizenship for deserving COVID-19 treatment. Humanities & Social Sciences Communications 9(302)
Helbling, M., Maxwell, R. & Traunmüller, R. (2023). Numbers, Selectivity and Rights: The Conditional Nature of Immigration Policy Preferences. Comparative Political Studies (online first)
Helbling, M., Jäger, F., Maxwell, R. & Traunmüller, R. (2023). Broad and Detailed Agreement: Public Preferences for German Immigration Policy. International Migration Review. https://doi.org/10.1177/01979183231216076.
Ivarsflaten, E., Helbling, M., Sniderman, P. M. & Traunmüller, R. (2024). Value Conflicts Revisited: Muslims, Gender Equality and Gestures of Respect. British Journal of Political Science doi:10.1017/S0007123423000637.
The Politics of Free Speech and Hate Speech Regulation
In a world that is becoming increasingly culturally diverse and digitally connected, the regulation of ‘hate speech’ on social media has grown into a central concern.This project takes recent debates as an opportunity to study what citizens think about the limits of free speech and how they balance the goals of freedom, group equality, and the prevention of harm. What do citizens deem acceptable in public political discourse? What preferences do citizens have for the regulation of free speech? What are relevant determinants of these preferences? Coming to terms with public sentiment towards these issues requires grappling with a host of challenging methodological problems. Existing studies fail to address the problem of social desirability bias. Given the sensitive nature of the topic and its involving of minority groups, respondents may not be willing to tell the truth about what they find acceptable. Second, previous studies are unable to elicit the context-dependence and conditionality of preferences for hate speech regulation. What is acceptable may not only depend on who says what to whom, but also on the specific context in which the utterance was made. To address these issues, we plan to implement a set of innovative, survey-based experiments and items.
Partly funded by Forschungsinstitut Gesellschaftlicher Zusammenhalt (FGZ)/Research Institute Social Cohesion (RISC), 2020-2022
Partly funded by Facebook Research – Content Governance RFP , 2020-2021 (with Simon Munzert, Hertie School)
Video Lecture on Cancel Culture (at FRIAS, in German).
Video Lecture on Free Speech (at KIT, in German).
WDR5 Interview on Free Speech (in German).
Revers, M. & Traunmüller, R. (2020). Is Free Speech in Danger on University Campus? Evidence from a Most Likely Case. Kölner Zeitschrift für Soziologie und Sozialpsychologie 72(3): 471-497.
Traunmüller, R. & Revers, M. (2021). Freedom of Expression at the University: Inaccuracies and Straw Men. Kölner Zeitschrift für Soziologie und Sozialpsychologie 73(1): 137-146.
Villa, P.-I., Traunmüller, R. & Revers, M. (2021). Lässt sich ‘Cancel Culture’ empirisch belegen? Impulse für eine pluralistische Fachdebatte. Aus Politik und Zeitgeschichte 71(46): 26-33.
Menzner, J. & Traunmüller, R. (2022). Subjective Freedom of Speech: Why Do Citizens Think They Cannot Speak Freely? Politische Vierteljahresschrift 64: 155–181.
Traunmüller, R. (2022). Die ‘Cancel Culture’ Hypothese auf dem empirischen Prüfstand. Zeitschrift für Politik (Sonderband 10): 33-54.
Traunmüller, R. (2023). Testing the ‘Campus Cancel Culture’ Hypothesis. SSRN Working Paper.
Traunmüller, R. & Menzner, J. (2023). The Expected Costs of Speaking Freely in a Liberal Democracy (Work in progress)
Menzner, J., Areal, J. & Traunmüller, R. (2023). Does Political Polarization Harm Subjective Freedom of Speech? (Work in progress)
Traunmüller, R. & Revers, M. (2020). Who May Say What, When and How? A Survey Experiment on Free Speech Norms. (Work in progress)
Traunmüller, R., Munzert, S., Barberá, P., Guess, A., & Yang, J.H. (2019). The Effect of Hate Speech Regulation on Self-Censorship. (Work in progress) [Preregistration Plan]
Munzert, S., Traunmüller, R., Barberá, P., Guess, A., & Yang, J.H. (2019). What Should We Be Allowed to Post? Citizens’ Preferences for Online Hate Speech Regulation. (Work in progress) [Preregistration Plan]
The Democratic Consequences of Wartime Sexual Violence
Sexual violence is widespread in war and has been documented to varying degrees in armed conflicts around the globe. Yet, the problem of underreporting remains a critical challenge in the study of wartime sexual violence, including its prevalence, risk factors, and consequences. To overcome this challenge, we turn to an unobtrusive method known as “list experiment” that has been shown to effectively elicit attitudes and behaviors that are fraught with problems of social desirability bias, shame or fear of repression. Equipped with this new methodology, we are in the position to study the democratic consequences of this particular form of violence in terms of its impact on civic engagement, political participation, and generalized inter-group trust in post-conflict societies. This research contributes to the recent interest in micro-studies of political violence and the democratic prospects of civil war countries.
Traunmüller, Richard, Sara Kijewski and Markus Freitag (2019). The Silent Victims of Sexual Violence During War: Evidence from a List Experiment in Sri Lanka. Journal of Conflict Resolution 63(9): 2015-2042. [Preprint, Online Appendix]
Gonzalez, Belen and Richard Traunmüller (2023). The Political Consequences of Wartime Sexual Violence: Evidence from a List Experiment. Journal of Peace Research https://doi.org/10.1177/00223433231183.
Koos, C. & Traunmüller, R. (2022). The social and political consequences of wartime sexual violence: New evidence from list experiments in three conflict-affected populations. WIDER Working Paper 2022/11. Helsinki: UNU-WIDER.
Koos, C. & Traunmüller, R. (2024). The Gendered Costs of Stigma: How Experiences of Conflict-related Sexual Violence Affect Civic Engagement for Women and Men. American Journal of Political Science doi.org/10.1111/ajps.12863.
Using MRP to Study the Democratic Behavior of Religious Minorities in Europe
Currently, I am developing a project (together with Christopher Claassen, University of Glasgow) which proposes methods of model-based population inference to produce reliable estimates of the civic integration and democratic behavior of religious minorities in Europe. In particular, the project presents the method of multilevel regression with post-stratification (MRP) as a viable solution for the many data limitations in the study of religious diversity. MRP is the current ‘gold standard’ in the estimation of political preferences in small geographic units. The proposed project will adapt this approach and leverage its methodological promises in a completely new field of application: the study of small socio-demographic sub-groups.
Claassen, C. & Traunmüller, R. (2018). Improving and Validating Survey Estimates of Religious Demography Using Bayesian Multilevel Models with Poststratification. Sociological Methods & Research Online First: DOI: 10.1177/0049124118769086 [Preprint]
Ellerbrock, S., Traunmüller, R. & Claassen, C. (2018). Estimating the Opinion of Religious Minorities Using Bayesian Multilevel Models with Poststratification. (Work in progress)
Neunhoeffer, M. & Traunmüller, R. (2019). Generative Adversial Imputation Nets for Small Area Estimation of Political Preferences. (Work in progress)
Book Project: Data Visualization for the Social Sciences
The social sciences are currently witnessing an exploding interest in data visualization techniques. This book project (under contract with Cambridge University Press in the series Methodological Tools in the Social Sciences edited by Paul Kellstedt and Guy Whitten) is intended to provide readers with a thorough introduction to the state of the art and best practice of modern data visualization from a social science perspective.
The book will be divided in three parts. Part I on the “Principles and Foundations of Data Visualization” lays the theoretical foundation of data visualization and places it in the context of more general discussions of social science methodology. Key principles are derived from a thorough understanding of graphical perception and analytic design. Part II on the “Key Tools and Methods of Data Visualization” discusses a broad array of visual methods and graphical formats that are effective in solving particular data analytic problems: making visual comparisons, visualizing time trends and correlations as well as multivariate data structures and spatial data. Part III on the “New Developments and Extensions of Data Visualization” introduces recent advances in data visualization that greatly expand the utility of visual methods: the interactive visual exploration of data, visual inference to protect against over-interpretation of random patterns, and the visualization of statistical models.
The book is highly applied in nature and emphasizes the practical aspects of data visualization in the social sciences. To illustrate the concepts and methods, examples and data from the social sciences will be used throughout the book. Example codes to reproduce the visualizations in the book will be provided on a dedicated web page.
Related papers:
Traunmüller, R. (2020). Visualizing Data in Political Science. In: L. Curini & R. Franzese (eds.) The SAGE Handbook of Research Methods in Political Science and International Relations. Sage. [Preprint]
Traunmüller, R. (2019). Datenvisualisierung für Exploration und Inferenz. In: Wagemann C., Goerres A., Siewert M. (eds.) Handbuch Methoden der Politikwissenschaft. Springer Reference Sozialwissenschaften. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-16937-4_5-1.
Traunmüller, R. (2018). Visual Inference for Political Research. [Working Paper]
CV Traunmueller Google Scholar Profile SSRN Author Page
Under Review
Arnold, L. & Traunmüller, R. Religious Bridging and Bonding in Social Networks. New Evidence from a Cross-national Comparison of Eleven Democracies
Diehl, C. et al. Students’ motives for restricting academic freedom: Viewpoint discrimination trumps professional standards and pro-social concerns.
Helbling, M., Ivarsflaten, E. & Traunmüller, R. Zero-sum thinking and the cultural threat of Muslim religious rights.
Lu, X. & Traunmüller, R. Improving Studies of Sensitive Topics Using Prior Evidence: A Unified Bayesian Framework for List Experiments.
Munzert, S. et al. Citizens’ Preferences for Online Hate Speech Regulation.
Traunmüller, R. Testing the ‘Campus Cancel Culture’ Hypothesis.
Selected Recent Publications
Helbling, M., Maxwell, R. & Traunmüller, R. (2024). Numbers, Selectivity and Rights: The Conditional Nature of Immigration Policy Preferences. Comparative Political Studies 57(2): 254-286.
Gonzalez, B. & Traunmüller, R. (2023). The Political Consequences of Wartime Sexual Violence: Evidence from a List Experiment. Journal of Peace Research https://doi.org/10.1177/00223433231183.
Stoetzer, L., Leemann, L. & Traunmüller, R. (2022). Learning From Polls during Electoral Campaigns. Political Behavior doi.org/10.1007/s11109-022-09837-8
Stoetzer, L. et al. (2022). Affective partisan polarization and moral dilemmas during the COVID-19 pandemic. Political Science Research & Methods doi:10.1017/psrm.2022.13.
Murr, A., Traunmüller, R. & Gill, J. (2022). Computing quantities of interest and their uncertainty using Bayesian simulation. Political Science Research & Methods doi.org/10.1017/psrm.2022.18.
Leemann, L., Stoetzer, L. & Traunmüller, R. (2021). Eliciting Beliefs as Distributions in Online Surveys. Political Analysis 29(4): 541-553.
Helbling, M. & Traunmüller, R. (2020). What is Islamophobia? Disentangling Citizens’ Feelings Toward Ethnicity, Religion, and Religiosity Using a Survey Experiment. British Journal of Political Science 50(3): 811-828. (Lead Article)
Claassen, C. & Traunmüller, R. (2020). Improving and Validating Survey Estimates of Religious Demography Using Bayesian Multilevel Models with Poststratification. Sociological Methods & Research 49(3): 603–636.
Traunmüller, R., Kijewski, S. & Freitag, M. (2019). The Silent Victims of Sexual Violence During War: Evidence from a List Experiment in Sri Lanka. Journal of Conflict Resolution 63(9): 2015-2042.
Helbling, M. & Traunmüller, R. (2016). How State Support of Religion Shapes Attitudes Toward Muslim Immigrants. New Evidence from a Subnational Comparison. Comparative Political Studies 49(1): 391-424. [Online Appendix; Erratum Figure 3].
Traunmüller, R., Murr, A. & Gill, J. (2015). Modeling Latent Information in Voting Data with Dirichlet Process Priors. Political Analysis 23(1): 1-20. (Lead Article)
Lecture: Introduction to Working Scientifically (BA lecture, University of Mannheim, Fall Term 2024)
Censorship (BA course, University of Mannheim, Fall Term 2024)
CDSS Workshop (PhD course, CDSS, University of Mannheim, Fall Term 2024)
BA Colloquium Political Sociology (BA course, University of Mannheim, Spring Term 2025)
Lecture: Authoritarian Politics (BA lecture, University of Mannheim, Spring Term 2025)
Measurement in Political Science: An Applied Perspective (BA course, University of Mannheim, Spring Term 2025, with Piotr Koc, GESIS)
Sex and Gender in Politics (BA course, University of Mannheim, Spring Term 2025, with Clara Husson)
New Perspectives in Economics and Politics (MA & PhD course, University of Mannheim, with Oliver Spalt, Spring Term 2025)
CDSS Workshop (PhD course, CDSS, University of Mannheim, Spring Term 2025)
Bayesian Statistics for the Social Sciences (PhD course, CDSS, University of Mannheim, Spring Term 2025)
Lecture: Authoritarian Politics (BA lecture, University of Mannheim, Spring Term 2024)
Free Speech (BA course, University of Mannheim, Spring Term 2024)
Sexual Violence in Conflict and Humanitarian Settings (BA course, University of Mannheim, Spring Term 2024)
BA Colloquium Political Sociology (BA course, University of Mannheim, Spring Term 2024)
Hot Topics in Economics and Politics (MA & PhD course, University of Mannheim, with Oliver Spalt, Spring Term 2024)
Introduction to Data Visualization (International Program in Survey and Data Science)
Lecture: Introduction to Working Scientifically (BA lecture, University of Mannheim, Fall Term 2023)
Free Speech and Censorship (BA course, University of Mannheim, Fall Term 2023)
Political Polarization (BA course, University of Mannheim, Fall Term 2023)
Lecture: Authoritarian Politics (BA lecture, University of Mannheim, Spring Term 2023)
Hot Topics in Economics and Politics (MA & PhD course, University of Mannheim, with Oliver Spalt, Spring Term 2023)
Theory Building and Causal Inference (PhD course, University of Mannheim, Spring Term 2023)
Introduction to Data Visualization (Mannheim Business School & International Program in Survey and Data Science)
Lecture: Introduction to Political Science (BA lecture, University of Mannheim, Fall Term 2022)
Free Speech and Censorship (BA course, University of Mannheim, Fall Term 2022)
Political Bias in Science (MA course, University Mannheim, Fall Term 2022)
Evidence-based Political Science for a Globalizing World: Experimental and Quasi-Experimental Approaches (EITM Europe in Oslo, 4.7.-6.7.2022)
New Perspectives on Economics and Politics (MA & PhD course, University of Mannheim, with Oliver Spalt, Spring Term 2022)
Lecture: Authoritarian Politics (BA lecture, University of Mannheim, Spring Term 2022)
Data Visualization Using R (Data Science Summer School, Hertie Data Science Lab)
Introduction to Data Visualization (Mannheim Master of Applied Data Science & Measurement, Mannheim Business School)
Advanced Topics in Comparative Politics: Free Speech and Censorship (MA course, University of Mannheim, Spring Term 2021)
Introduction to Comparative Politics: Empirical Democracy Research (BA course, University of Mannheim, Spring Term 2021)
Introduction to Comparative Politics: Political Polarization (BA course, University of Mannheim, Spring Term 2021)
Selected Topics in International Relations: Resilience – How People and States React to Crisis and Disaster (BA course, University of Mannheim, Spring Term 2021)
Theory Building and Causal Inference (Graduate course, CDSS, University of Mannheim, Fall Term 2020)
Advanced Topics in Comparative Politics: Free Speech and Censorship (MA course, University of Mannheim, Fall Term 2020)
Introduction to International Relations: Empirical Democracy Research (BA course, University of Mannheim, Fall Term 2020)
Introduction to International Relations: Resilience – How People, Groups and Nations Deal with Shocks, Trauma and Crises (BA course, University of Mannheim, Fall Term 2020)
The Politics of Free Speech and Censorship (BA course, University of Mannheim, Spring Term 2020)
Sexual Violence in Conflict and Humanitarian Settings (BA Course, University of Mannheim, Spring Term 2020)
International Political Economy (MA course, University of Mannheim, Spring Term 2020)
Data Visualization (Online course, IPSDS, April 2020)
Introduction to Bayesian Statistics (GESS Summer School, October 2019)
Experiments in International Relations (MA Course, University of Mannheim, Fall Term 2019)
Political Polarization (BA Course, University of Mannheim, Fall Term 2019)
The Political Economy of Migration (BA Course, University of Mannheim, Fall Term 2019)
Methods in International Relations (BA Course, University of Mannheim, Fall Term 2019)
Theory Building and Causal Inference (Graduate course, CDSS, University of Mannheim, Fall Term 2019)
Survey Experiments: Design, Analysis and Applications (EITM 2019 in Torino, July 2019)
Data Visualization (Online course, IPSDS, April 2019)
International Political Economy (MA lecture, University of Mannheim, Spring Term 2019)
The Politics of Free Speech and Censorship (MA course, University of Mannheim, Spring Term 2019)
Sexual Violence in Conflict and Humanitarian Settings (BA Course, University of Mannheim, Spring Term 2019)
Methods in International Relations (BA course, University of Mannheim, Spring Term 2019)
Data Visualization (Warwick Q-Step Masterclass, February 2019)
Theory Building and Causal Inference (Graduate course, CDSS, University of Mannheim, Fall Term 2018)
Bayesian Statistics for the Social Sciences (Graduate course, CDSS, University of Mannheim, Fall Term 2018)
Quantitative Methods in Political Science/Multivariate Analyses (MA Political Science & MA Data Science, University of Mannheim, Fall Term 2018)
The Politics of Free Speech and Censorship (BA course, University of Mannheim, Spring Term 2018)
Bayesian Statistics for the Social Sciences II (Graduate course, CDSS, University of Mannheim, Spring Term 2018)
Survey Experiments (Graduate course, CDSS, University of Mannheim, Spring Term 2018)
Robustness Analysis (Graduate course, CDSS, University of Mannheim, Spring Term 2018)
Theory Building and Causal Inference (Graduate course, CDSS, University of Mannheim, Fall Term 2017)
Bayesian Statistics for the Social Sciences (Graduate course, CDSS, University of Mannheim, Fall Term 2017)
Data Visualization (Graduate course, CDSS, University of Mannheim, Fall Term 2017)
Data Visualisation (Essex Summer School in Social Science Data Analysis, University of Essex, July/August 2017)
Democracy: Theory and Practice (BA course, Department of Social Sciences, Goethe University Frankfurt, Summer Term 2017)
Bayesian Statistics for the Social Sciences I (Graduate Workshop, CDSS, University of Mannheim, March/April 2017)
Experiments in Political Behavior (MA course, Department of Social Sciences, Goethe University Frankfurt, Winter Term 2016/17)
Data Visualization (BA course, Department of Social Sciences, Goethe University Frankfurt, Winter Term 2016/17)
Data Visualization (Workshop, MZES, University of Mannheim, December 16th)
Data Visualization (Graduate Workshop, CUSO, University of Berne, November 3rd-5th)
Theory Building and Causal Inference (Graduate Workshop, CDSS, University of Mannheim, October 5th-7th.)
Data Visualisation (Essex Summer School in Social Science Data Analysis, June 25th-August 5th 2016)
Introduction to Social Science Statistics (Lecture, Department of Social Sciences, Goethe University Frankfurt, Summer Term 2016)
Visualizing Data and Statistical Models (Graduate Workshop, Department of Social Sciences, Goethe University Frankfurt, May 17th 2016)
Visualizing Data and Statistical Models (Workshop at the European University Institute in Florence, March 17th 2016)
The Social Logic of Democratic Politics (MA course, Department of Social Sciences, Goethe University Frankfurt, Winter Term 2015/16)
Religion and Politics in Empirical Democracy Reseach (BA course, Department of Social Sciences, Goethe University Frankfurt, Winter Term 2015/16)
Model Specification, Estimation and Visualization, Essex Summer School in Social Science Data Analysis 2015
Citizens in Context: Multilevel Analysis in Empirical Democracy Research (MA course, Department of Social Sciences, Goethe University Frankfurt, Summer Term 2015)
Data Visualization for Empirical Democracy Research (Part II) (BA course, Department of Social Sciences, Goethe University Frankfurt, Summer Term 2015) (Tableau’s data visualization software was provided through the Tableau for Teaching program.)
Data Visualization for Empirical Democracy Research (Part I) (BA course, Department of Social Sciences, Goethe University Frankfurt, Winter Term 2014/15)
Religion and Democracy (MA course, Department of Social Sciences, Goethe University Frankfurt, Winter Term 2014/15)
Religion and Democracy (MA course, Institute of Political Science (IPW), University of Berne, Fall Term 2014)
Introduction to Statistics and Multilevel Analysis Using R (Three-day Workshop, University of Berne, June 2014)
Introduction to Multilevel Models (Two-day Workshop, University of Duisburg-Essen, December 2013)
Church-State Relations in Europe (MA course, Institute of Political Science (IPW), University of Berne, Fall Term 2012)
Hierarchical Models (TA, Essex Summer School in Social Science Data Analysis, University of Essex, 2012)
Hierarchical Models in Political Sociology (MA course, Institute of Political Science (IPW), University of Berne, Fall Term 2011)
Religion and Politics (BA course, Institute of Political Science (IPW), University of Berne, Fall Term 2011)
Hierarchical Models (TA, Essex Summer School in Social Science Data Analysis, University of Essex, 2011)
Bayesian Analysis in the Social Sciences (TA, Essex Summer School in Social Science Data Analysis, University of Essex, 2011)
Introduction to Political Behavior (BA course, Department of Politics and Management, University of Konstanz, Summer Term 2011)
Graphical Data Analysis in Political Science (MA course, Department of Politics and Management, University of Konstanz, Summer Term 2011)
The Social Logic of Politics. Social Contexts, Networks, and Political Behavior (MA course, Department of Politics and Management, University of Konstanz, Winter Term 2010/11)
The Religious Factor in Politics (BA course, Department of Politics and Management, University of Konstanz, Winter Term 2010/11)
Citizens and Politics. Foundations of Political Sociology (BA course, Department of Politics and Management, University of Konstanz, Summer Term 2010)
Comparative Political Culture Research (MA course, Department of Politics and Management, University of Konstanz, Winter Term 2009/10)
Cultural and Political Foundations of Social Capital (BA course, Department of Politics and Management, University of Konstanz, Winter Term 2008/09, together with Isabelle Stadelmann-Steffen)
Religion and Politics (BA course, Department of Politics and Management, University of Konstanz, Winter Term 2007/08)
Empirical Social Research I + II (TA, Institute for Social Sciences, Humboldt-University of Berlin, Winter Term 2002/03 – Summer Term 2007)
Incredibly Talented Friends
Paul C. Bauer
Enrico Bertini
Chris Claassen
Lucas Leemann
Joscha Legewie
Moritz Marbach
Simon Munzert
Thomas Plümper
Daniel Stegmueller