English

The class offers an introduction into the modern approaches to causal identification in quantitative political science research. Traditional view implying that quantitative work can establish only correlations, and no causal links, has been challenged recently by new research designs allowing scholars to identify causal effects using quantitative data. This class reviews these methods (such as appropriate strategies of selecting control variables in regressions, matching, instrumental variables, experiments and regression discontinuity design), as well as discuss their application to the practical problems of political science research. It uses specific examples to train students' ability to develop effective research designs.

The course explores how drama, theatre, and performance reflect and effect social change. Students think about the relationship of the individual and the community in relation to wider social or institutional structures. The course brings together historical perspectives about drama, theatre, and performance and urgent issues in the present. Key skills students gain include working with theatre texts, historical understanding, and critical analysis about social and cultural change.

The ability of the natural environment to dispose the waste of anthropogenic activities (keeping unchanged degree of regeneration) is not infinite (downstream “scarcity”). This kind of “scarcity” justifies using the tools of economic theory to face environmental problems. In this regard, two circumstances should be adequately emphasized. Firstly, today the most important (at least perceived) environmental problem is climate change due to the anthropogenic emissions of carbon dioxide. Secondly, more than 80% of carbon emissions are due to energy production and consumption. As a consequence, fighting climate change requires to adequately study the interaction between energy and environmental issues with the aim to understand how to mitigate global warming through (but not only) the decarbonization of energy supply. The analysis of this interaction is the principal mission of this course. The course is divided into three parts: 1) The first part focuses on how economic theory can help policymakers to design environmental policies. The main environmental tools are described and analyzed (environmental taxation, emissions trading, standards, voluntary agreements, etc.); 2) the second part introduces the main energy markets (crude oil, natural gas, coal, nuclear power and renewable energy). Great attention is dedicated to the perspectives of deployment of Renewable Energy Sources (RES), their competitiveness and the possible supporting mechanisms (quantity, pricing and hybrid supporting mechanisms); 3) The third part focuses on the policies aimed to achieve the net zero emission target, especially at the EU level. 

The course gradually moves from the foundational principles of Behavioral Science, to the practical applications based on those principles through three interlinked blocks. Students are introduced to dual-processing models of human behavior to highlight the role of the environment in shaping decisions. They consider the Dual System approach, heuristics and biases, and the influence of time, risk, and social preferences. The course delves into the science of happiness by introducing the main accounts of subjective wellbeing, how it is conceptualized and measured and its implications for policy and other contexts. Finally, the course introduces the Mindspace framework by teaching how various techniques from Behavioral Economics (incentives, commitments, defaults), Social Psychology (ego, messenger and social norms), and Cognitive Psychology (priming, affect) can be used to shape behavior. 

This course emphasizes the pivotal role of data and innovation in transforming society, with a deep dive into the implications of data utilization and technological advances. It highlights the transformative power of AI in fostering innovation and societal change. Starting with an overview of innovation in service systems, with a particular focus on public services, the course offers a comprehensive curriculum that explores the foundational principles of AI technologies such as machine learning and natural language processing. Students will investigate how these innovations drive significant changes across various public sectors, including healthcare, urban development, education, arts and culture, and the operations of international organizations. Enhancing the learning experience, the course will feature guest speakers from diverse fields, providing firsthand insights into the challenges and successes of AI implementation. Additionally, case studies will be integrated throughout the course to offer real-world contexts for the concepts discussed, and on-site visits to organizations actively utilizing AI will give students practical exposure to the dynamics of AI in action. The course aims to equip students with the knowledge, analytical frameworks, and practical skills to: •Develop strategies that enhance service efficiency and value, particularly in the public context; •Create innovative solutions to societal issues using AI and Machine Learning.

This course provides an introductory overview of Korean history up until the early 1800s, with a special focus on the Chosŏn era and its foreign relations. The course explores Korea’s ancient history, cultural developments, and interactions with neighboring countries, offering insights into the foundation of Korea’s social and cultural identity. Class activities include visits to museums or historical sites in Korea, providing opportunities to deepen understanding of Korean history and culture. 

This special topics, seminar-style course selects one or more topics related to West Asian civilization and language and consists of in-depth coverage, analysis, and discussion of issues related to the topic. The topic of this course may change each time it is offered. For example, the Spring 2025 semester topic was Islam and Inequality: A Historical Perspective, focusing on socioeconomic inequality.  

The aim of this course is to understand why income and wealth inequality varies across space and time by focusing on one of the richest, but also one of the most unequal democracies of our time: The US. While in theory all citizens in a democracy have the same voting power - so one would expect democratic governments to act to keep inequality as low as possible - there are quite significant differences in economic inequality over time and space. Why is this? To answer these questions, the course examines different theories of inequality and different policy areas that affect inequality. It looks at long-term trends in inequality and the structural features of capitalism that tend to push inequality upwards. The course examines the wide range of policies in what is loosely termed the 'welfare state' that tend to mitigate the inequalities generated by market capitalism. Students discuss how demography, gender differences, migration and ethnicity relate to inequality. And they try to understand why elections sometimes produce governments that redistribute income and wealth from rich to poor, and sometimes produce governments that do the opposite. Finally, the course reviews how rising inequality - a clear trend in the rich world since the late 20th century - affects politics and democracy.

In this online course, learn how to construct graphs and visualizations according to the theory Grammar of Graphics. Learn how to create visualizations yourself using the software R and its package ggplot2. A central part of creating visualizations is making choices. Through the choices you make, your visualizations are more or less intelligible and also highlight different aspects of the data. An important element of the course is therefore to review visualizations by other course participants. Topics covered in the course include introduction to R and ggplot2; choice of color, symbols, scales, and perspective (2D, 3D); summation and abstraction; interactive visualizations; maps and spatial data; visualization of statistical models.

This course provides an examination of the cultural frameworks and social aspects of kinship systems, gender roles, personhood and human sexuality, analyzed through ethnographic examples from a diverse range of settings. It aims to equip students with the analytical tools to engage in theoretical debates concerning core concepts such as kinship, marriage, gender, sex, the person, and the relationship between nature and culture, as well as exploring how the experiences of kinship, sex and gender vary according to the regimes of politics, law and materiality in which they are embedded. The course charts the history of anthropological debates on kinship, relatedness, sex and gender, and familiarizes students with a range of contemporary approaches to these themes, placing ethnographic materials into a critical dialogue with recent developments in feminist theory, queer theory, the anthropology of colonialism, cognitive science, and psychoanalysis.