How do the Constitution's checks and balances work in practice? And where are they not working? This course examines the fault lines between Washington's two most powerful institutions - Congress and the President - how they clash, and where they work together. Students learn how Congress and the President share and compete for power in lawmaking, spending, investigations, nominations, foreign policy, and impeachment. The course is designed to foster skills in formulating strategies for conducting policy in an environment of institutions competing for power.

Designed to complement a policy internship, this two credit course will focus on content and skills that are likely to be useful in typical Washington offices. Students will develop literacy on the most pressing domestic policy topics and will work on writing and presentation skills. All students will participate in a public policy internship for at least ten hours a week.

Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.

Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.

Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.

Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.

Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.

The concepts of freedom, power and equality are what have been called “essentially contested concepts.” These three concepts take a particular significance in the 20th and 21st centuries due to the proliferation of war, industrialization, technology, as well as the growth of democracy and the accompanying shifts in social relations these have all brought about. We think that we have a pretty clear and straightforward understanding of what they mean—freedom means doing what I want, power is domination, equality is sameness. But when we look at how these ideals are lived in real life, we can see that they are in fact a lot more complicated than that. For instance, does poverty reduce freedom and wealth enhance it, or is really only a matter of inequality and people’s choices as many maintain? How do categories like race, gender, and sexuality affect the ways that freedom, power, and equality are experienced? Can power be exercised in relations of equality or does it always suggest inequality? How do we know when power is a hindrance to freedom, or when it is an enhancement of it? How do these three concepts intersect and intertwine to alter their meanings in different settings and in response to different sorts of events?

The concepts of freedom, power and equality are what have been called “essentially contested concepts.” These three concepts take a particular significance in the 20th and 21st centuries due to the proliferation of war, industrialization, technology, as well as the growth of democracy and the accompanying shifts in social relations these have all brought about. We think that we have a pretty clear and straightforward understanding of what they mean—freedom means doing what I want, power is domination, equality is sameness. But when we look at how these ideals are lived in real life, we can see that they are in fact a lot more complicated than that. For instance, does poverty reduce freedom and wealth enhance it, or is really only a matter of inequality and people’s choices as many maintain? How do categories like race, gender, and sexuality affect the ways that freedom, power, and equality are experienced? Can power be exercised in relations of equality or does it always suggest inequality? How do we know when power is a hindrance to freedom, or when it is an enhancement of it? How do these three concepts intersect and intertwine to alter their meanings in different settings and in response to different sorts of events?

The concepts of freedom, power and equality are what have been called “essentially contested concepts.” These three concepts take a particular significance in the 20th and 21st centuries due to the proliferation of war, industrialization, technology, as well as the growth of democracy and the accompanying shifts in social relations these have all brought about. We think that we have a pretty clear and straightforward understanding of what they mean—freedom means doing what I want, power is domination, equality is sameness. But when we look at how these ideals are lived in real life, we can see that they are in fact a lot more complicated than that. For instance, does poverty reduce freedom and wealth enhance it, or is really only a matter of inequality and people’s choices as many maintain? How do categories like race, gender, and sexuality affect the ways that freedom, power, and equality are experienced? Can power be exercised in relations of equality or does it always suggest inequality? How do we know when power is a hindrance to freedom, or when it is an enhancement of it? How do these three concepts intersect and intertwine to alter their meanings in different settings and in response to different sorts of events?