New data sources and AI offer global development organisations the opportunity to work more effectively towards the Agenda 2030. Despite its positive potential, new ethical concerns are emerging, such as data privacy and algorithmic bias. This course provides an overview of the potential and challenges of AI for organisations aiming to contribute to sustainable and equitable development.

This course introduces students to key statistical methods for analyzing social science data with a special emphasis on causal inference and policy evaluation.

The training course provides an introduction into strategic schools of thought that are important in current theoretical discussions and policies of development cooperation.

This course is an introduction to theoretical and empirical discussions on economic development, with a focus on the challenges of developing countries over the last 50 years. The course provides answers to the following questions: How can and should development be measured? What factors drive economic growth and contribute to poverty reduction?

Introduction into basic theoretical and empirical aspects of economic development. Prescriptive theory of economic policy for poverty reduction.

This course on gender and economics is intended to provide basic- and intermediate-level training to development practitioners and policy and program staff in international development agencies.

The following topics will be discussed: Basic principles of epidemiology and global burden of disease distribution, Health systems and health system strengthening, including economic aspects and health insurance, communicable diseases such as HIV/AIDS, Malaria, tuberculosis, and neglected tropical diseases, mother and child health, non-communicable diseases, and transition in health in LMICs

Globalization and technological progress in recent decades have on the one hand reduced inequality and led to new forms of inequality on the other hand. The question is whether these new forms of inequality lead to more inequity. This course provides an overview of the current philosophical and economic discourse on inequality and injustice.

The course discusses different actors and instruments of International Development Cooperation to reduce global poverty.

The course conveys basic knowledge about the M4P-project approach in development cooperation (Making Markets Work for the Poor). Important elements are: strategic framework of the M4P-concept; understanding systems and system change; sustainability and facilitation of system change; measurement and management of private sector promotion in development assistance.

PhD students working in empirical development economics will present their ongoing work, with a particular focus on the methods (to be) used and challenges faced. Participants are expected to read the drafts/papers/presentations beforehand and give constructive feedback to the PhD student presenting.

This course introduces students to key methods for quantitative policy impact analysis and covers the different stages of the process. Acquired skills are applied on a real project from a development organization. Students also learn how to perform simple statistical analyses with the statistical Software R.

The course aims at strengthening the capacity in portfolio management for VET, skills development and active labor market policies. It deals with basic issues and challenges of Vocational Education and Training (VET) in Developing Countries. In view of the many of school leavers VET has to place itself between the contradicting intensions of quality education and short-term training interventions.