Marcel Neunhöffer is a PhD Candidate and Research Associate at the Chair for Quantitative Methods in the Social Sciences at the University of Mannheim.
His research focuses on political methodology, where he is specifically interested in the application of deep learning algorithms to social science problems. His substantive interests include voting behavior, political campaigns and forecasting elections. For his research he implemented a large scale field experiment within a partisan campaign, he is also interested in social media data and contributed to research by constructing a large Voting Advice Application.
His work has been published in the Politische Vierteljahresschrift (PVS) and in Political Analysis. He has also presented some of his recent work at the International Methods Colloquium.
Marcel is co-founder, contributor and the visualisationist of Zweitstimme.org - a website that communicated a scientific forecast for the German Federal election 2017 to a broad audience.