This course is offered in three ways:
- Open access: The course materials are publicly available on our online learning platform, allowing you to engage in self-guided learning.
- Instruction led offerings: We plan to schedule the course in a synchronous learning format, guided by experienced tutors, again in the future. For information about our current offerings, please visit the Open Access Courses section of the website.
- Tailored offerings: This course can be customized to meet your personal or organizational needs, with guidance from an experienced instructor. For more information, please contact us at vis@merit.unu.edu.
About this course
Our Network Science and Economic Complexity for Policy is for students who want to develop quantitative skills and learn how to use complexity analysis and network science tools to support effective policymaking.
This online course is designed to give students an overview of the use of complexity analysis for economics and development policies, particularly focusing on methodologies and tools coming from network science.
Through collaborative group work, students will analyse trade and innovation networks, understanding the role of different countries in the global value chain. The course includes hands-on tasks and projects using Python to apply these concepts in practice.
For questions please contact vis@merit.unu.edu
