Prof. Dr. Christian Cordes
Seminar: every year
A naturalistic approach to economics explains economic phenomena as a dimension of cultural evolution based on and influenced as well as constrained by humans’ evolved cognitive dispositions. These include cultural learning capabilities, biases taking effect therein, and affective facets of human behavior. Our naturalistic approach applies formal models of cultural evolution theory to depict regularities in human behavior and relates these to various economic settings. Such a scientific endeavor is necessarily interdisciplinary in nature. We collaborate with anthropologists and draw on insights from social psychology, cognitive psychology, evolutionary biology, and behavioral sciences. This enhanced perspective on human economic behavior is applied to the theory of the firm, evolving corporate cultures, human behavior in organizations in general, industry evolution, technological diffusion, consumption behaviors, normative aspects of evolutionary economics, sustainability issues, and conceptual-methodological problems of evolutionary ideas imported to economics.
Seminar: every year
This lecture will dwell on the determinants of human behavior in organizational contexts. To do so, it takes an interdisciplinary perspective on human cognition and motivation. The students will be able to criticize the behavioral assumptions of standard approaches in economics. Moreover, they will be capable of enhancing these concepts by drawing on insights from other disciplines, such as cognitive psychology, evolutionary biology, or anthropology. Finally, a behaviorally more encompassing description of human behavior including prosocial inclinations is provided.
In this seminar you will find a series of presentations given by PhD students and other researchers (e.g., Post-docs and “Habilitanden”) in business studies and economics from Bremen University.
In addition, it provides a stage to discuss key research articles from various areas or disciplines.
The seminar is open to anyone interested.
Learning Objectives/Competencies: This module introduces students to basic concepts of innovation economics through the exemplary case of Artificial Intelligence (AI). They will get familiar with economic perspectives used to understand the emergence and development of this (disruptive) technology. In particular, students will learn about main concepts of AI (e.g., what is machine learning, supervised and unsupervised learning, etc.), links between AI and other technologies, empirical approaches used to identify and measure AI innovations, the potential of this technology as a tool for political control, and other potential risks linked to AI. At the end of the course, students will be able to better understand the challenges of AI-related empirical research, the particularities of AI as an important emerging technology, and will be more familiarized with relevant concepts needed to develop their own innovation studies.