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The article on how the Swiss public thinks about the distribution of COVID-19 vaccines I wrote with Mia Gandenberger, Flavia Fossati and Giuliano Bonoli has just been published by the Swiss Political Science Review and is freely available online.


Swiss COVID-19 Survey

Together with Giuliano Bonoli, Flavia Fossati, Mia Gandenberger, and Philipp Trein, I study how the Swiss general public thinks about the COVID-19 pandemic and the government's response to it. To this end, we conducted an original public opinion survey, which included survey experiments on highly important issues such as the allocation of ICU beds among COVID-patients, travel restrictions, and financial aid to small companies.

We published first findings in an article in the Swiss Political Science Review and on our interactive data dashboard. Other findings are currently under peer-review and will be added as soon as possible.

'Quantifying Workfare'

As part of my doctoral research, I co-led a research project that was concerned with constructing systematic cross-country comparative measurements of the strictness of job-search and work-availability requirements and sanction rules for unemployment benefit claimants in 21 advanced democracies between 1980 and 2012.

The data, a more detailed description of the project, and key findings and publications based on it can be found on the dedicated project homepage.


2012-2017 PhD, Political science Lund University
Awarded the 2017 Research Prize of the Swedish Federation of Unemployment Insurance Funds
4-6/2015 Junior visiting scholar Nuffield College, University of Oxford
2010-2012 European Master in Government Pompeu Fabra University & University of Konstanz
2007-2010 BA, Political science University of Mannheim


Articles in peer-reviewed academic journals
Reports, working papers, etc.
Blog posts & similar

Conferences, workshops, invited talks (most recent)

Other activities


Comparative Political Studies, European Sociological Review, Socio-Economic Review, Journal of Social Policy, Journal of European Social Policy, Social Indicators Research, Journal of Social Policy Research/Zeitschrift für Sozialreform, Social Policy & Administration, European Societies, Journal of European Public Policy, Norsk statsvitenskapelig tidskrift

Side projects

Forecasting bouldering gym crowdedness: My old bouldering gym in Lausanne (lecube.ch) provides up-to-date information on how crowded it is at the moment on their website. I thought: Why not take it one or two steps further? So I set up a scraper that collects the occupancy data from the lecube.ch website every full and half hour and stores it in the cloud. After two weeks worth of data were collected, I designed a dashboard that retrieves the data, computes some descriptive information and - drumroll - forecasts how busy the gym will likely be over the next hours. For the latter, I use a neural network for time-series data. The dashboard is available here, and the code to scrape the data and estimate the forecast is available on my GitHub profile.

Interactive game theory app: Teaching abstract matters such as game theory can be difficult, but it becomes much easier and considerably more fun for everyone if students can play games such as the Prisoner's Dilemma or the Tragedy of the Commons by or between themselves. To make this possible, I programmed two Shiny applications. The first is where students do the playing and which sends their results to a Google Sheet for storage. The other app retrieves the data and presents them so that the results can be discussed in class. Replication code for both apps can be found at: https://github.com/IDHEAP-UnitePolsoc/Teaching_apps.