Argumentation in Scientific Writing
A Doctorate plusBIGS workshop offered by the Bonn Graduate Center
Scientists have to be able to present their arguments in a precise and convincing way. However, when writing their papers, many scientists rely on intuition rather than on concrete methods. This course provides participants with all the techniques they need to know in order to state their arguments precisely, correctly and convincingly.
Online Workshop
Thursday, April 25, 2024
9:00 a.m. - 3:00 p.m.
Friday, April 26, 2024
9:00 a.m. - 3:00 p.m.
Please register your interest in this workshop by stating your BIGS affiliation in the form linked below by March 10, 2024.
Trainer
Kai Hüwelmeyer
Language
English
Location
Online
Target Group
Doctoral students from the Bonn International Graduate Schools (BIGS)
Track(s)
Research
Certificate
14 units are applicable within the Doctorate plus certificate
Description
The course starts with the basic concepts of reasoning and logic: validity and soundness of arguments, deductive and inductive reasoning, common types of logical inferences. From
these basics, we derive useful techniques for argumentation in scientific texts. Participants get the chance to apply the acquired skills directly to their own work, and they get extensive individual feedback from the trainer after the course.
Content
- Basic concepts of logic
- Deductive vs. inductive arguments
- Basic argument-patterns
- The logical structure of scientific texts and talks
- Writing style
Childcare
If you need childcare during the event, please contact the Family Office of the University of Bonn at least two weeks in advance.
Contact
Bonn Graduate Center
Address
Alte Sternwarte
Poppelsdorfer Allee 47
53115 Bonn
More Workshops?
Have a look at our Doctorate plus program this semester with plenty of other workshops open for all doctoral students.
Also see
Certificate Doctorate plus
Acquire the Doctorate plus Certificate in one of our three career tracks.
Good Scientific Practice
Learn more about scientific integrity and responsibility in research.
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