معرفی
Marcel Garz is an Associate Professor at Jönköping International Business School, part of Jönköping University in Sweden. His research bridges economics, communication studies, and political science, focusing on digital technologies' impact on media, politics, and human behavior. He specializes in causal inference methods and computational tools like deep learning and computer vision.
Current projects include leading the Global Social Media Experiment (a Nordic cross-cultural study on social media effects) and organizing the Data Methods Initiative (a seminar series promoting computational methods in social science). He co-founded the Economics of Media Bias Workshop and collaborates with institutions like the Swedish Competition Authority on media quality research.
Research interests emphasize algorithmic curation's societal effects, media bias, and public policy. His work spans topics like news quality under market competition, pandemic behavior modulation via media, and tax enforcement through data transparency.
Key contributions include frameworks on unethical marketing manipulation, signaling theory in crowdfunding, and the role of media coverage in electoral outcomes. He has published widely in journals like Journal of Communication, Political Behavior, and Journal of Economic Behavior & Organization.
Funding: A three-year grant from the Swedish Competition Authority (2023–2025) supports research on media competition and news quality.
