معرفی
Raphael Heiko Heiberger is a Professor and Head of the Computational Social Science department (Sowi VII) at the Institute for Social Sciences, University of Stuttgart. His research bridges social and computer sciences, applying computational methods to analyze social phenomena. He maintains active collaborations across disciplines including computer science, political science, communication science, public health, educational research, civil engineering, and natural history.
Professor Heiberger's research focuses on computational social science with specific interests in econophysics, political and media debates, and the science of science. Methodologically, he specializes in natural language processing, machine learning, social network analysis, and agent-based simulations. His work demonstrates how computational approaches can provide new insights into complex social systems and phenomena ranging from economic crises to scientific careers.
His recent publications reveal a strong trend toward interdisciplinary computational approaches to social science questions, with particular emphasis on text analysis, network analysis, and simulation methods. His work spans political science, sociology, education, and public health, demonstrating the versatility of computational social science methods across traditional disciplinary boundaries.
Professor Heiberger is an active member of the DGS Social Network Analysis Section and has co-organized the Trier Summer School on Social Network Analysis for several years. He leads a research project on ABD funded by the Federal Ministry of Education and Research (BMFB) and is part of the EU Horizon 2020 project 'Protect' focused on international refugee protection.
His research has secured significant funding from national and international sources, supporting interdisciplinary collaborations that bridge computational methods with substantive social science questions. His work demonstrates how computational approaches can transform traditional social science research paradigms.
The Computational Social Science department under his leadership maintains strong connections with various research communities, fostering innovative approaches to studying social phenomena through computational lenses. His research group actively engages with both theoretical social science frameworks and cutting-edge computational methodologies.
