Sophie Reisinger
Research Assistant
Offices: Germany
Email: sophie.reisinger@technopolis-group.com
Sophie Reisinger is a research assistant at Technopolis Group (Berlin) since February 2024. In the course of her studies, internships and research assistant positions, she has developed expertise in policy analysis, particularly in the fields of international and European cooperation as well as in topics relating to the digital transformation in the face of rapid developments in artificial intelligence and the use of big data.
During her current master’s programme, she has acquired extensive skills in applying quantitative research methods, including statistical analysis, web scraping, text mining (NLP), social network analysis, clustering and classification as well as sentiment analysis. Additionally, she has experience in conducting desk research, literature reviews, document and content analysis, as well as expert interviews.
Prior to joining Technopolis Group, she has worked as a student research assistant at the Excellence Cluster ‘The Politics of Inequality’ at the University of Konstanz, where she undertook research and data analysis tasks for the ‘Inequality Barometer’ publication as well as for studies on inequality perceptions in the face of the green and digital transformation. She has also completed internships in the ‘Democracy’ unit of the Robert Bosch Stiftung, where she contributed to developing the cross-border citizen participation programme ‘Common Ground’ with Germany’s border regions, and at the Permanent Representation of Austria to the EU, with a particular focus on the topics subordinated to the Political and Security Committee.
Sophie graduated with a first-class undergraduate degree in Economics and Politics from the University of Glasgow and completed a semester abroad at the University of Copenhagen. She obtained her first master’s degree in public administration with a specialisation in ‘International and European Governance’ at Leiden University and is currently finishing her second master’s programme in ‘Social and Economic Data Science’ at the University of Konstanz. She is fluent in German and English and has some knowledge of French.
