Dr. Alexander Herzog
Office: FG1 / 01.11
Office hours during winter semester 2023/2024: Tuesday, 13:00 - 15:00
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Dr. Herzog has been a Research Associate at the Chair for Empirical Political Science since January 2023. After completing his undergraduate degree in the social sciences at the universities of Konstanz and Mannheim, he earned his Ph.D. in political science at New York University with a dissertation on the influence of coalition members on policy outcomes. During his graduate studies, he was also a visiting researcher at Trinity College Dublin from 2009 to 2010.
Following his Ph.D., he served as a Research Fellow at the London School of Economics and Political Science from 2012 to 2014. Subsequently, from 2014 to 2023, he held various roles at the School of Computing at Clemson University in South Carolina, initially as a Postdoctoral Researcher and later as a Lecturer.
During his time at Clemson University, Dr. Herzog contributed significantly to expanding research and teaching in the fields of Computational Social Science and Data Science. As a co-founder of the Social Analytics Institute, he worked on analyzing social media data to study political and social processes. Additionally, he taught courses in Applied Data Science, Computational Thinking, and introductory courses in computer science and object-oriented programming in the C++ programming language. From 2017 to 2022, he served as the Director of the School of Computing Capstone Program. In this role, he worked closely with industry partners, such as Amazon, BMW, IBM, Microsoft, and NVIDIA, to supervise numerous student projects in the areas of Artificial Intelligence, Data Science, and Software Development.
Dr. Herzog's research focuses on Computational Social Science, particularly the development and application of computer-assisted methods in comparative political science. He has a specific interest in topics related to party competition, government formation, and coalition governments. A significant emphasis of his work lies in the analysis of massive text-based data to examine the behavior of individual actors within political parties and government coalitions. This includes both the development and application of computer-assisted methods for the analysis of parliamentary debates. Furthermore, he conducts research on developing and implementing algorithmic solutions to efficiently process and analyze social media data.
A list of his publications and a CV can be found on his website at www.alexherzog.net.