Dominik Hangartner: Catalogue data in Autumn Semester 2021

Name	Prof. Dr. Dominik Hangartner
Field	Public Policy
Address	Professur für Politikanalyse ETH Zürich, LEH D 4 Leonhardshalde 21 8092 Zürich SWITZERLAND
Telephone	+41 44 632 02 67
E-mail	dominik.hangartner@gess.ethz.ch
Department	Humanities, Social and Political Sciences
Relationship	Full Professor

Number	Title	ECTS	Hours	Lecturers
857-0027-00L	International Organizations (Field Trip) Only for Comparative and International Studies MSc.	2 credits	1S	D. Hangartner
Abstract	A two-day field trip to international organizations in Geneva - e.g., the World Trade Organization, the World Health Organization and the International Committee of the Red Cross.
Learning objective	Become familiar with the work and challenges of international organizations based in Geneva.
Literature	Karen A. Mingst, Margaret P. Karns. The United Nations in the Twenty-First Century, Third Edition (Dilemmas in World Politics). Westview Press, 2007.
Prerequisites / Notice	Teams of 2-3 students prepare a 2-3 page background reading for the group on a specific international organization and lead the discussion with representatives of that organization during the visit.
857-0091-00L	Methods II: Quantitative Methods Only for Comparative and International Studies MSc and UZH MA in Politics.	6 credits	2U + 2S	D. Hangartner, A. Alrababa'h
Abstract	This class provides an introduction to quantitative methods for social science and policy analysis. The class covers statistical inference, introductory probability, descriptive statistics, regression, and statistical and database programming.
Learning objective	After this course, students should be able to assemble a dataset, prepare descriptive statistics, develop and test hypotheses, and present their results in a high-quality presentation or paper.
857-0104-00L	Topics in Public Policy: The Politics and Policies of International Migration Number of participants limited to 18. MACIS students are given priority.	8 credits	3S	D. Hangartner
Abstract	This seminar will provide a collaborative and immersive research experience where students work together with the instructor to design and implement a randomised experiment to study topical questions related to the politics or policies of international migration.
Learning objective	Upon completion, course participants will have first-hand experience with collaborate research including project management, spanning the entire project cycle from ideation, study design and pre-analysis planning, field phase and data collection, statistical analysis and paper writing.
Literature	The reading materials consist of a series of academic papers (see detailed syllabus)
Prerequisites / Notice	Essential: Familiarity with statistical methods for causal inference at the level of Methods 3. Desirable: Familiarity with supervised machine learning methods at the level of Methods 4.