Summer School on Complexity Economics, Behavioral Economics and Data Science


The Netzwerk Ökonomische Bildung und Beratung (NÖBB e.V.) is organizing the Summer School on Complexity Economics, Behavioral Economics and Data Science. The Summer School will take place from 2nd – 4th September 2019 at the Ruhr-University Bochum (Germany). In three parallel tracks, Master and PhD students will be introduced to agent-based modelling, behavioral economics and text mining, as well as to complexity and pluralism in economics. The courses contain both, lectures on essential concepts and hands-on tutorials.



Monday, 2 September, 9.00am – 1.00 pm

Lectures on Complexity and Pluralism by Dr. Claudius Gräbner (ICAE Linz)

This talk will give a brief introduction to economic philosophy and will provide students with the analytical tools from the philosophy of science to adequately appreciate the methods to be learned in the upcoming days. The goal is to understand the link between the complexity of economies and the need for pluralism in economic theory as well as to understand the need for a pluralism in economic methodology.


Monday, 2 September – Wednesday, 4 September (courses held in parallel)

Behavioral Economics by Prof. Dr. Christian Cordes (University Bremen) and Dr. Wolfgang Luhan (University of Portsmouth)

The course gives an introduction to Behavioural Economics. We will discuss alternatives to standard rational choice theory, covering areas such as social preferences, decisions under risk and uncertainty and preferences anomalies. The applied part of the course will cover basics of experimental design and a hands-on demonstration of a software package used for economic lab experiments. Further, participants are introduced to insights of cultural evolution theory and gain a deeper understanding of the cultural roots of human cognition and its impact on decision-making.

Agent-Based Modeling by Prof. Dr. Michael Roos and Tom Bauermann (both Ruhr-University Bochum)

The participants of this course will learn to incorporate the insights from complexity economics into (macro-) economic agent-based models (ABMs). In contrast to standard equilibrium models, ABMs view agents as heterogeneous, boundedly rational, interacting individuals. Besides learning the essential concepts of ABM, this course provides students with the programming skills needed to implement their ideas in computer code via NetLogo.

Data Science by Prof. Dr. Ulrich Fritsche (University Hamburg)

This course will train participants in the main concepts of data science and text mining in particular. Text mining is the process of analyzing collections of textual materials in order to capture key concepts and themes and uncover hidden relationships and trends without the requirement of knowing the precise words or terms that authors have used to express those concepts. Among other techniques, the classes cover text crawling and frequency analysis, basic lexicometrics, term extraction, (un)supervised learning and basic topic models. The course contains an introduction of the basic concepts as well as hands-on tutorials in R-Studio.



For further information, please visit



Interested PhD and Master students are invited to submit an application containing a letter of motivation (max. 1.5 pages) that specifies the track of interest (behavioral economics, agent-based modeling or data science) and a CV. The application should be directed to until 30th April 2019. Please visit the above-mentioned website for further information on the application.

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Summer schools


Regular fees: 75 - 95 EUR

International Fees : 75 - 95 EUR


Universitätsstraße 150, 44801 Bochum

Bochum , Germany

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Summer schools

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