2019-2020 2020-2021 2021-2022 2022-2023 2023-2024
Browse
by subject...
    Schedule
view...
 

11 - 20 of 52 results for: POLISCI

POLISCI 127A: Finance, Corporations, and Society (ECON 143, INTLPOL 227, PUBLPOL 143, SUSTAIN 143)

As society faces major challenges, democracies and "free-market" capitalism appear to be in crisis. This interdisciplinary course will explore the complex interactions between corporations, governments, and individuals, drawing on insights from the social sciences, business, and law to understand how institutions and collective actions translate to a set of rules and to outcomes for people and nature. The course aims to help students become savvier in their interactions with our economic and political systems and understand the governance issues that are critical to whether and how well institutions in the private and public sectors serve us. Topics include financial decisions, financial markets, banks and institutional investors; corporations and corporate governance; political economy and the rule of law as it applies to people and to organizations, and the role and functioning of the media. We will connect the material to specific issues such as climate change and justice, and discuss current events regularly throughout the course. Students will have the opportunity to explore a situation of their choosing in more depth through group final projects. Visitors with relevant experiences will regularly enrich our class discussion.
Terms: Aut | Units: 4-5
Instructors: Admati, A. (PI)

POLISCI 140P: Populism and the Erosion of Democracy (REES 240P)

What is populism, and how much of a threat to democracy is it? How different is it from fascism or other anti-liberal movements? This course explores the conditions for the rise of populism, evaluates how much of a danger it poses, and examines the different forms it takes.
Terms: Aut | Units: 5 | UG Reqs: WAY-SI

POLISCI 150A: Data Science for Politics (POLISCI 355A)

Data science is quickly changing the way we understand and and engage in the political process. In this course we will develop fundamental techniques of data science and apply them to large political datasets on elections, campaign finance, lobbying, and more. The objective is to give students the skills to carry out cutting edge quantitative political studies in both academia and the private sector. Students with technical backgrounds looking to study politics quantitatively are encouraged to enroll.
Terms: Aut | Units: 3-5 | UG Reqs: WAY-AQR

POLISCI 154: Solving Social Problems with Data (COMM 140X, DATASCI 154, EARTHSYS 153, ECON 163, MS&E 134, PUBLPOL 155, SOC 127)

Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use more »
Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Preference given to Data Science & Social Systems B.A. majors and prospective majors. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. Sign up for the discussion section will occur on Canvas at the start of the quarter. Prerequisites: CS106A (required), DATASCI 112 (recommended as pre or corequisite). Limited enrollment. Please complete the interest form here: https://forms.gle/8ui9RPgzxjGxJ9k29. A permission code will be given to admitted students to register for the class.
Terms: Aut, Spr | Units: 5 | UG Reqs: WAY-SI, WAY-AQR

POLISCI 209: Curricular Practical Training

Qualified Political Science students obtain employment in a relevant research or industrial activity to enhance their professional experience consistent with their degree programs. Meets the requirements for Curricular Practical Training for students on F-1 visas. The student is responsible for arranging their own internship/employment and gaining faculty sponsorship. Prior to enrolling, students must complete a petition form available on the Political Science website ( politicalscience.stanford.edu/undergraduate-program/forms). The petition is due no later the end of week one of the quarter in which the student intends to enroll. If the CPT is for Summer, the petition form is due by May 31. An offer letter will need to be submitted along with the petition. At the completion of the CPT quarter, a final report must be submitted to the faculty sponsor documenting the work done and its relevance to Political Science. This course be repeated for credit up to 3 times but will not count toward the Political Science major or minor requirements.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 3 times (up to 3 units total)

POLISCI 219: Directed Reading and Research in International Relations

For undergraduates. Directed reading in Political Science with a focus on international relations. To be considered for enrollment, interested students must complete the directed reading petition form available on the Political Science website before the end of week 1 of the quarter in which they'd like to enroll. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

POLISCI 229: Directed Reading and Research in American Politics

For undergraduates. Directed reading in Political Science with a focus on American politics. To be considered for enrollment, interested students must complete the directed reading petition form available on the Political Science website before the end of week 1 of the quarter in which they'd like to enroll. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

POLISCI 235A: From Cold War to New Cold War: Politics and Political Theory in Contemporary China (POLISCI 335A)

"China lacks everything: middle managers, engineers and capital," so wrote French political thinker Raymond Aron. That was 1950, three years after Harry Truman's 1947 Address to Congress, which was usually considered the beginning of the Cold War, and months after the founding of the People's Republic of China. More than seventy years later, and after a long, winding journey, China now has much more than middle managers, engineers, and capital. However, global politics seems to move towards another clash of two powerful countries with seemingly different ideological orientations as many now claim that a new Cold War is on the horizon.How did China emerge as a global power from what Aron described in 1950? And more importantly, can we, and if so, how do we, understand the rise of China with a theoretical perspective? How do theory and real politics shape each other, as manifested in the history of contemporary China? In this class, we explore answers to these questions by reading political theory against history, sociology, and political science. In every week, we read texts that reflect both the social reality and theoretical concerns of a given period in contemporary Chinese history. By so doing, we seek to make sense of both the contemporary Chinese society and the power and limits of ideas in political theory.
Terms: Aut | Units: 3-5 | UG Reqs: WAY-SI
Instructors: Luo, S. (PI)

POLISCI 235C: Misinformation and Democracy: Past and Present (POLISCI 335C)

Many today consider misinformation to be one of the most significant challenges faced by democratic societies. Some see this as a new phenomenon, arguing, for example, that modern technology - and, above all, social media giants like Facebook or Twitter - is responsible for this threat. Yet, the problem of misinformation and the challenges posed by 'fake-news,' conspiracy theories, and lying in politics have a long history. In this course, we will ask whether and how misinformation threatens democracy and explore different potential solutions to this challenge. We will read various historical texts suggesting that misinformation is not a new phenomenon born in our digital age. We will learn about various past experiences of misinformation, such as discussions of the permissibility of lying in politics in antiquity, rumors about the end of the world in the Renaissance, and early modern debates about censorship and freedom of speech. We will see how several key figures in the history of more »
Many today consider misinformation to be one of the most significant challenges faced by democratic societies. Some see this as a new phenomenon, arguing, for example, that modern technology - and, above all, social media giants like Facebook or Twitter - is responsible for this threat. Yet, the problem of misinformation and the challenges posed by 'fake-news,' conspiracy theories, and lying in politics have a long history. In this course, we will ask whether and how misinformation threatens democracy and explore different potential solutions to this challenge. We will read various historical texts suggesting that misinformation is not a new phenomenon born in our digital age. We will learn about various past experiences of misinformation, such as discussions of the permissibility of lying in politics in antiquity, rumors about the end of the world in the Renaissance, and early modern debates about censorship and freedom of speech. We will see how several key figures in the history of political thought - from Plato and Aristotle to Hobbes and Mill - sought to deal with these problems. Combining close readings of historical texts and discussions of contemporary issues, we will ask whether and how we might be able to utilize historical knowledge and experience to understand and address some of the most pressing challenges we face today.
Terms: Aut | Units: 5
Instructors: Schwartz, A. (PI)

POLISCI 239: Directed Reading and Research in Political Theory

For undergraduates. Directed reading in Political Science with a focus on political theory. To be considered for enrollment, interested students must complete the directed reading petition form available on the Political Science website before the end of week 1 of the quarter in which they'd like to enroll. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints