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Prof. Jan Lorenz

Data-driven Agent-based Modeling in Computational Social Science
School of Business, Social & Decision Sciences
Constructor University Bremen gGmbH | Campus Ring 1 | 28759 Bremen | Germany
Phone number
+49 421 200-3034
Email Address
jlorenz@constructor.university
Office
Research IV, Room 61 b
Research Interests

I am a computational social scientist working on modeling, analyzing, and designing socio-economic systems. As a basis for this, I often engage in social data science, doing unconventional data analysis for interesting phenomena.

From my background in mathematics, I consider myself still an applied mathematician but through extensive postgraduate study and research also a and social scientist.
Research Topics: social cohesion, processes of opinion formation, polarization, processes of segregation, processes of decision making, aggregation of the wisdom of crowds, rating systems, voting systems, consensus algorithms, cascades on networks, systemic risk
Tools: agent-based modeling and simulation, large-scale data analysis, experiments, mathematical and statistical analysis
Mathematical fields: nonnegative matrices, inhomogeneous Markov chains, repeated application of means, positive dynamical systems, multiplicative and additive stochastic processes
General scientific interests: game theory, mathematics and politics, social choice, socio- and econophysics, complex systems, networks

University Education

I earned a Diploma in Mathematics in 2003 from the University of Bremen and a doctoral degree Dr. rer. nat. in Mathematics in 2007 also from the University of Bremen. These were my diploma and doctoral thesis on opinion dynamics.

In 2017, I habiliated in Computational Social Science at Jacobs University Bremen (now this place) with this umbrella booklet.

CV, Publications, Funded Projects

I keep my ORCID profile public and up to date:

0000-0002-5547-7848

Find there my

  • academic employments at ETH Zurich, Carl-von-Ossietzky University Oldenburg, Jacobs University, GESIS Cologne, and University Bremen
  • the funded research projects where I am involved in

Find my publications on my Google Scholar profile

Until 2018 I updated a CV including lists of conferences and invited talks including links to slides, prices I have won, and response in the media.

Teaching

I teach in the Master's program "Data Science for Society and Business" about Data Science Concepts and Visual Communication and Data Story Telling. I also teach Introduction to Computational Social Science.

I once taught a course on Mathematics and Politics.

I am a faculty member at the Bremen International Graduate School for Social Sciences (BIGSSS) where I offer courses on mathematics for social scientists, doing research with R.

I was the main organizer of 4 Summer Schools and Research Incubators in Computational Social Science of Conflicts, Migration, Social Cohesion, and the Democratic Debate.