Work and Corona (WoCo)

The Work and Corona Dashboard

Short project description

This project explores the transformation of work during the COVID-19 pandemic. In collaboration with the Austrian Corona Panel Project, it developed survey waves focusing on changes in work, as well as work-related attitudes and preferences. The project’s central goal was to create a publicly accessible website that enables users to explore shifts in attitudes, behaviors, and preferences through an interactive dashboard. It was funded by the Digifonds (AK Vienna) and ran from August 2021 to July 2023.

The Work and Corona project showcases how academically designed, quantitative social research can be made accessible to the wider public, linking the open science movement with science communication. To this end, we developed a data visualization dashboard, available at woco.univie.ac.at/dashboard/, which presents aggregated survey data from the Austrian Corona Panel Project. The complete dashboard code has been published openly, is freely accessible, and is accompanied by detailed documentation.

A second pillar of the project focused on analyzing these data to generate insights into the transformation of work and shifts in work-related preferences and beliefs during the pandemic. This work resulted in a series of blog posts for the general public, accessible here, as well as two academic publications: one on public preferences for social benefits for short-time workers and the unemployed, and another on the impact of changing labor market risk perceptions on policy demands (preprint can be accessed here).

Publications

(2025). How much for whom? Explaining preferences for welfare benefits to short-time workers and the unemployed. Journal of European Social Policy.

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Fabian Kalleitner
Fabian Kalleitner
Postdoctoral Researcher

My research interests include tax preferences, biased perceptions, fairness attitudes, and work values. To gather insights in these topics I combine theories and insights of sociology, economics, and psychology using various methodological approaches (i.e. panel surveys, multilevel analyses, survey/field/laboratory experiments) and estimation strategies.

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