Thomas Grund

Thomas Grund is a Full Professor at the Institute of Sociology at RWTH Aachen University, Germany. He previously held professorial positions at University College Dublin (Ireland), where he served as Professor (2021-2022), Associate Professor (2018-2021), and Assistant Professor (2015-2018). He has also been a Visiting Professor at the University of Zurich and the University of Manchester.

His educational background includes a DPhil in Sociology from the University of Oxford (2007-2011), an MPhil in Modern Society and Global Transformations from the University of Cambridge (2005-2006), and a Diplom in Sociology from the University of Trier (2001-2005). He also holds a Vordiplom in Computer Sciences and Business Administration from the University of Trier (2000-2002).

Grund's research focuses on social network analysis, complex systems modeling, and analytical sociology. His work examines how social structures limit individuals' view of the world, how embeddedness in social context affects behavior, and how combined relational patterns lead to macro-level outcomes. His research spans diverse empirical settings including crime, sports, health, and social movements.

Recent publications demonstrate a strong focus on network analysis applications across various domains. His work shows consistent methodological sophistication with increasing emphasis on computational approaches to social science. The research spans political science, criminology, public health, and sociology, reflecting his interdisciplinary approach.

• Teaching Excellence Award at University College Dublin (2017)

Grund has developed innovative teaching methods incorporating technology-enhanced learning strategies, including video trailers, live surveys, and game-based learning. He is currently developing a software suite for network analysis using Stata and has co-authored 'Social Network Analysis Using Stata' with Peter Hedström, forthcoming with Stata Press.

His research is conducted through collaborations with various institutions and research groups focused on social network analysis and computational social science.