The repository contains a lab experiment dataset exploring designs of digital participatory budgeting systems for fairness and legitimacy, focusing on diverse voting formats and aggregation methods.
Merging the capabilities of AI with Political Science
Replication data for Engst / Gschwend / Sternberg. 2020. “Die Besetzung des Bundesverfassungsgerichts. Ein Spiegelbild gesellschaftlicher Präferenzen?” [The Composition of the Federal Constitutional Court. Mirror Image of Societal Preferences?] Politische Vierteljahresschrift 61 (2): 39-60.
Data analysis project on Fake job posting dataset using Machine Learning and NLP basics
This GitHub repository includes behavioral data and analysis code from an online experiment that examines the perceived legitimacy of various voting methods. Participants were asked to vote using four distinct methods, and subsequently, they provided their perceptions of the legitimacy of each method.
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