About this course

The course focuses on global threats, challenges, and opportunities for sustainable development. The global challenges include climate change and policy responses, population growth and employment creation, migration and youth unemployment, land degradation and land policies, local and global food security, inequality and political instability, and armed conflicts. Since 2025, international relations have changed, with some arguing that we are reverting to 1800s protectionism, or even 1600s royalism. Autocracy is increasingly characterizing the largest countries in the world, and the rule of the global order is being rewritten. Whether this represents a permanent shift or just a temporary situation remains to be seen.

Economic and political/social science theories can help us understand this situation. At the same time. Contradictory or competing perspectives exist: rational decision making versus behavioural perspectives, trade versus protectionism, universal human rights versus context specific norms, global climate governance and targets versus nationally determined contributions, and more generally global governance vs. national sovereignty, exemplified by debates on the role of international institutions such as the World Bank, International Monetary Fund, World Trade Organization, UN organizations and international agreements.

The main activity in the course is writing two essays on self-selected topics, with emphasis on systematizing and critically discussing the relevant literature and on writing skills.

Learning outcome

Knowledge

  • Has solid knowledge about key development and global challenges, and knowledge of the main literature and alternative perspectives.
  • Has advanced knowledge, including the relevant literature, within the topics chosen for the two essays.

Skills

  • Can search and identify the key literature for their two issues papers, e.g., by using Google Scholar.
  • Can undertake a thorough literature review, including structuring the literature, extracting the main points, and critically discussing the theory, data, methods and conclusions.
  • Can write scientific English, including the correct use of references.

General competence

  • Can present their own work in a structured and engaging way.
  • Can critically assess others’ work and provide constructive feedback.
  • Is able to receive critical comments and use them to improve own work.
  • Learning activities

    • Self-study of material in Canvas.
    • Choice of topics for two papers/essays with focused research questions and paper outline.
    • Search for relevant literature in Google Scholar for the chosen topics.
    • Writing of two own papers in English with proper scientific use of references.
    • Presentation of own papers for other students (and teacher).
    • Give written and oral comments to two papers written by other students.
    • Revise own papers based on comments from other students and the teacher.
  • Teaching support

    Canvas material (literature, YouTube links, exercises, guidelines for essay writing).

    Lectures on choice of topics, choice of research questions, outlining of papers, literature search, and writing.

    Supervision related to paper topic choice, problem formulation, theoretical approach, use of literature, and writing papers.

    Comments from the teacher on outlines of papers and drafts.

    Comments from other students on own papers and presentations.

  • Syllabus

    Material prepared in Canvas (multiple sources). Additional literature for self-selected essays.
  • Prerequisites

    Basic knowledge in economics.
  • Assessment method

    Portfolio evaluation, course grade (A-F) based on:

    1. Two completed and submitted papers (by the deadline set) and presentations. One of the papers may be written in pairs.
    2. Two comments given (written and oral) to two papers presented by other students.


    Portfolio Karakterregel: Letter grades
  • About use of AI

    For the exam (two articles and two comments) and any other activities:

    K3 - Full use of AI is allowed, but must comply with NMBU's AI guidelines.

    Descriptions of AI-category codes.

  • Examiner scheme

    External sensor assesses the course outline and material. The grading is done by the lecturer(s).
  • Notes

    The course is in English. Incoming students can contact student advisors at the School of Economics and Business (studieveileder-hh@nmbu.no) for admission to the course.

    The course is organized jointly with a PhD-version of the course (ECN450).

  • Teaching hours

    2 hours per week in the beginning of the semester

    Several course workshops, in the middle of the semester and at the end of the semester to present the papers.

    Supervision and meetings based on demand by students

  • Preferential right

    M-GEP