Course: Recent Developments in Advanced Innovation Economics (5209-512)

Persons:

• Prof. Dr. Andreas Pyka (verantwortlich)

Type of Course:

exercise

In-Class Hours Per Week:

2

Contents:

In the course the students are taught the most recent methods in the analysis of innovation processes which at least partly differ from standard tools in economics. The first part of the course deals with methods to analyze the heterogeneous composition of innovation systems with the help of indicator based models and cluster analysis.
A second empirical approach taught in the course is social network analysis which allows the description of the complex architecture and dynamics of innovation networks.
Concerning model building students are acquainted with system dynamics which is used for the modeling of economic growth by the emergence of new industries.
A central tool in modern innovation economics is agent-based modeling. Students are introduced into this methodology to perform simulation analyses of knowledge creation and diffusion processes on the firm and network level.

Literature:

The literature is newly selected every year.

Location:

Hohenheim

Module:

• 5209-510 Economics of Innovation 2 (compulsory)
• 5209-520 Recent Developments in Advanced Innovation Economics (compulsory)