Actor and Strategy Models

The course "Actor and Strategy Models" provides students with different analytical lenses and models to understand strategic actor interactions and decision-making behavior in networks. A conceptual framework introduces the core concepts and assumptions that are used to explain strategic actor interactions in public policy making. Different theoretical concepts and related analytical models are covered in the course, such as cognitive mapping, game theory, social network analysis, and behavioral insights. Students will acquire basic knowledge through the provided reading and video clips and in-class sessions. Its application will be practiced in modelling and lab exercises and demonstrated through project work. Active self-study and engagement in project work, classes and exercises is expected, resulting in a demanding mix of theory and application.

Examination is based on the two parts, consisting of three sub-grades in total. Part 1 (individual exam) and 2 (group pitch and written assignment) need to be graded with a grade of at least 5.0 each in order for the course grade to become valid.

1. Individual written exam (closed book)

2. Group project work:

• presentation (Project pitch) of proposed actor and strategy model analysis

• written assignment (delivered as policy brief)

Final grade = 0.4*Exam + 0.1*Project pitch + 0.5*Policy brief

TU Delft regulation and guidelines on the use of Large Language Models (LLM) will be followed in the assessment for this course.

In case of unforeseen circumstances or measures impede assessment as described above (such as during the Covid-19 pandemic), the assessment will be modified as follows:

1. Individual written exam will be replaced by an individual written take-home assignment (open book) or an individual timed take-home exam (open book).

2. Presentation (project pitch) will be held online

3. Group project will remain the same, based on group report.