The main aims of this workshop are met through a forum in which faculty and graduate students at various career stages work closely together. It is an applied workshop with an emphasis on learning by doing and on learning how to be a more constructive colleague. Rather than segregate PhD students by cohort, the workshop is designed to bring cohorts together in order to facilitate the student-to-student transfer of skills and knowledge.
In this focused reading course, we will work through the whole of Niccolò Machiavelli's Discourses (the Discorsi sopra la prima deca di Tito Livio). Among the many topics we are likely to discuss: political foundings and refoundings; elite and popular regimes; the nature of a republic; political anthropology; corruption; the political effects of Roman religion and of Christianity; the respective roles of liberty, glory, power, reputation, virtue, fortune, and prudence; historical method and the use of exempla; and the nature of the authority of the classics in the Renaissance. Machiavelli expected his readers to be familiar with Livy, as well as such classical authors as Polybius, Cicero, and Plutarch, and we will read selections along with the discourses for which they are most pertinent. We will also read a small number of other sources, including Francesco Guicciardini's Considerations on the Discourses. Students will be expected to have read Machiavelli's The Prince before the course begins.
This colloquium exposes graduate students and faculty to work by leading scholars of comparative politics working in diverse substantive areas. Graduate students are expected to read circulated papers of visiting speakers ahead of the colloquium and participate actively in raising questions and making comments. They are encouraged to meet visiting speakers in their areas of interest in group or one-on-one sessions.
NOTE: This description is from Spring 2015
This course is a seminar which can be taken for 0- 2 units, Satisfactory or Unsatisfactory with the following course description:
A forum for the presentation and discussion of research in progress by graduate students. To receive credit for the course, the student will participate fully, including, as asked, either making a presentation of work in progress or serving as lead discussant for another student's work. Appropriate works-in-progress include (but are not limited to) a paper in preparation for submission to a journal, a dissertation prospectus (including early drafts), a dissertation chapter, or a job market paper. Anyone working on theory is welcome.
A forum for the presentation and discussion of research in quantitativemodeling. Anyone working on quantitative modeling or empirical testing of quantitative models is welcome to attend. To receive credit for the course, a student must attend regularly, participate actively, and make at least two presentations per semester. Presentations can be of the student's own work-in-progress or of work by other scholars (including both influential/classic works or interesting current working papers).
Variable Unit Course: 1.0 to 3.0
Please see click on the link below for more information regrarding MIRTH
This course is intended to be a seminar in which we discuss research designs which have succeeded. Few causal inferences in the social sciences are compelling. We carefully examine successful examples to see why they work. The seminar is also a forum for students to discuss the research designs and methods needed in their own work. It should be particularly helpful for students writing their prospectus or designing a major research project. The seminar will be supplemented by lectures to cover the statistical and computational material needed to understand the readings such as matching methods, instrumental variables, regression discontinuity, and Bayesian, maximum likelihood and robust estimation. Applications are drawn from a variety of elds including political science, statistics, economics, sociology, and public health.
This course description is from 2015.
Political Science 236A/Statistics 239A (The Statistics of Causal Inference in the Social Sciences) or equivalent. Experience with R is assumed.
As Berkeley Changemakers, how do we apply ethics to critical policy questions? Designed for students who have had, or are currently taking, PS 124C Ethics and Justice in International Affairs, this 1 unit course allows a small group of students to select and engage deeply with a critical policy question that emerges from the course. Working in groups to develop a specific question, you'll craft solutions grounded in the ethical theories of the course while gaining a new perspective on how to lead change by engaging with the practical implications of implementation. This course also features practitioners in areas such as humanitarian intervention, international criminal justice, etc. who provide their perspectives on both the ethics and courses of action required for implementing change.
The Berkeley Changemakers' inclusive curriculum activates your passions and helps you to develop a sharper sense of who you want to be, while providing you the tools to take those next steps. Our curriculum focuses on critical thinking, communication, and collaboration complemented by an emphasis on creativity, community, and belonging.
To learn more, please visit: https://changemaker.berkeley.edu/
Student must have completed or be currently enrolled in PS124C, Ethics and Justice in International Relations.
This course focuses on the sensible application of econometric methods to empirical problems in economics and public policy analysis. It provides background on issues that arise when analyzing non-experimental social science data and a guide for tools that are useful for empirical research. By the end of the course, students will have an understanding of the types of research designs that can lead to convincing analysis and be comfortable working with large scale data sets. This course is cross-listed with Econ C 142 and Public Policy C 142.
Note: This is an advanced methods course, and NOT a replacement for PS3.
Subfield: Quantitative Methods
Instructor: David Card
ECON 140 or ECON 141 or consent of instructor.