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Bruno
Wueest

On this website, you'll find more information on my scientific research,
my data science applications as well as on my teaching activities in datajournalism.

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Project Example

About me

Updated: 2016-8-2


I am a research and teaching fellow (Oberasssistent) at the Department of Political Science, University of Zurich. My principal research interests are distinctly interdisciplinary and include cognitive computing, political communication, open data, corpus and computational linguistics, and comparative political economy. I teach a master seminar on political datajournalism. I am engaged in three interdisciplinary research projects that deal with the analysis of large text collections in the context of the political consequences of financial crises, the democratic accountability of regulatory agencies and the diffusion of policies in federalist countries. Beyond that, I work with the Swiss Electoral Studies and the Swiss Federal Archives on the automated analysis of tweets, open survey questions and the media coverage of federal election campaigns as well as the consultation processes on federal laws in Switzerland.

Download my Curriculum Vitae to learn more.

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Research

Updated: 2016-8-2


See my list of publications or look up my Google Scholar profile to learn about my scientific contributions.


Current projects

Selects (Swiss Electoral Studies) Media Analysis 2015

Collaborators: Sarah Bütikofer, Adrian van der Lek and Fionn Gantenbein

Download the short report in German

For details on the methods, see the Codebook in English


Years of Turmoil: The Political Consequences of the Financial and Economic Crisis in Europe

Collaborators: Silja Häusermann and Thomas Kurer

See the lay summary in German or English


Type II governance in public communication: computer based media content analysis

Collaborators: Gerold Schneider and Michael Amsler

Check out the Outline.


Measuring policy diffusion with automated content analysis: The case of smoking bans in Switzerland and the United States

Collaborators: Fabrizio Gilardi, Thomas Willi and Adriano Meyer Broyn

Learn more in English, German or French.

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Datajournalism

Updated: 2016-8-2


The breakthrough in data journalism came with the ever easier access to economic and political data. Data are no longer just background information or sources for inquiry, but the backbone of a new journalistic format: data-driven storytelling. A datajouralist compiles data and interprets results not for specialists, but for the broader public. The best newspapers in the world such as The Guardian, The New York Times, Le Monde or Die Zeit have greatly expanded their portfolio in the field of data journalism. In Switzerland skills in the field of data journalism are increasingly in demand, too. The course Political Datajournalism at the University of Zurich combines knowledge in political science with basic knowledge in classical political journalism and is enhanced with insights into the various techniques relevant to data mining, analysis and visualization.

Learn more about the course in the most recent syllabus.

Check out the amazing datajournalistic work by my master students.

Politan is a blog and company founded by graduates in Political Datajournalism at the UZH.

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Portfolio

Updated: 2016-8-2

Selected work from teaching or publication projects.