Frequently Asked Questions
| The Berger Lab is planning a new course for 2021 ! This FAQ refers to the last course, which was held in 2018. Some details will change with the new course. |
The course fee covers tuition for 9 days of lectures and accommodation in a single room, including breakfast, dinner and coffee breaks in the morning and afternoon. Lunch and drinks are not included, but there is a possibility to get reasonably priced small dishes in the restaurant. We also provide bus transfer from Dresden main station to the course venue in Holzhau (and back).
Yes, the course is entirely taught in English. Usually participants come from all over the world with only a few, if at all, participants from German speaking countries.
Our course is intended for researchers who have at least an early version of their model and seek guidance on finishing, analyzing, and doing science with it. If you do not yet have basic programming skills and a model to work with, you should not apply for the course.
A course primarily for college professors and instructors who want to add individual-based modeling to their teaching and research skills is given by Steve Railsback and colleagues at the Humboldt State University in Arcata, California (USA).www2.humboldt.edu/ibm/index.html
The Dresden International Airport provides direct flight connections to the main international hubs in Germany (Frankfurt, Munich, Cologne, Dusseldorf, Stuttgart) and to some important international hubs in Europe (Amsterdam, Zurich, Moscow, St. Petersburg). Dresden can also be reached very easily by train or bus from Berlin or Prague. After the final selection of participants we will spread more detailed information on how to get to the summer school venue.
In order to prepare you for the course and to ensure that anyone is ready to work with his/her own model, you will receive three course preparation emails within the months that follow after the final selection of participants. We will ask you to prepare an ODD-protocol of your model and send it for review, to familiarize yourself with R and the RNetLogo extension and to prepare a few presentation slides as an introduction to you and your project. Please consider that you will receive more detailed information on these tasks in the separate course preparation emails.