Learning Outcomes
1. Learning how to identify the relevant “dots” (political, institutional, social, historical, geographical, economical…) that may contribute to the shaping of policy in any particular matter, or that may become obstacles to it, and learning how to “link those dots” in order to get a real picture beyond what is immediately on sight.
2. Acquiring an open mind towards international differences in policy making and looking for the reasons behind them, in order to learn from experiences from different policy making traditions, and to have a better understanding of them as international observers or actors.
3.Learning how to identify and put together the main building blocks of a political strategy intended to introduce, promote or prevent a policy change in the most effective way.
4.Acquiring an overview of the role of media and digital tools in policy action in particular at international level, and of the non-apparent interactions with other components of the policy making ecosystem.
Professional Skills
• Building and reinforcement of self- confidence in the capability to become a policy maker or shaper, resulting in stronger leadership within their organization;
• Improving how to introduce a systematic approach within complex and apparently blurred challenges.
• Learning how to put one self in the position of others (countries, stakeholders…), thus improving the understanding of a problem and highly improving negotiation skills.
• Improving creative thinking to identify the best possible path to reaching an intended outcome, after considering the priorities of other stakeholders, as well as obstacles and consequences of alternatives.
- Reading and Preparation for Class: 3 hours a week / 36 hours a semester
- Research and Preparation for Group Work: 3 hours a week / 36 hours a semester
- Research and Writing for Individual Assessments: 3 hours a week / 36 hours a semester
- Active participation in discussions following the lectures (validation relevance: 10%)
- Individual drafting of a short essay using written material produced by Generative AI for each student under specific instructions received by the instructor and assessing its content. Students will be asked to evaluate the assumptions, omissions, and biases in the AI's response, and then develop a comparative analysis on a policy issue across two democratic systems, applying content studied in class. [Essay maximum 2000 words, to be delivered by Session 8]. (Relevance: 40%).
- Collective preparation and presentation (in small working groups of 4-5 students each) of a complete well-grounded Policy Strategy on a controversial policy proposal, assuming one of three possible pre-defined roles. The strategy will be presented and discussed in class. Groups will be formed between Sessions 4 and 5; the assignment will be delivered before Session 11. (Relevance: 50%).
On the third tier, the course moves progressively towards a structured discussion around actual policy making and policy shaping . Students work in groups to prepare their strategies in parallel to the class. Students receive feedback from the instructor and from other students after their presentations in class. Part of the time of class sessions is devoted to teamwork and interaction between groups and the instructor.
Direct personal feedback is provided after evaluation of the two (individual and collective) assignments, and at the end of the whole course.