Semester: Spring 2023

Instructors: F. Daniel Hidalgo & Teppei Yamamoto

Level: Doctoral

Description: Covers advanced statistical tools that are useful for empirical research in political science and public policy, including web scraping, machine learning, text analysis, survival models, and modern causal inference techniques (causal ML, methods for longitudinal data, sensitivity analysis, and mediation analysis).

Semester: Spring 2024

Instructors: Joseph Doyle, Roberto Rigobon & Teppei Yamamoto

Level: Undergraduate

Description: Provides an accessible overview of modern quantitative methods for causal inference. Covers topics including potential outcomes, causal graphs, randomized controlled trials, observational studies, instrumental variable estimation, and a contrast with machine learning techniques. Makes heavy use of real-data examples in Python or R from fields such as economics, political science, business, and public policy.

Semester: Spring 2025, Fall 2024, Fall 2023.

Role: Workshop Instructor (2 hours)

Organizer: Political Methodology Lab

Description: In this workshop, you will learn the fundamentals of writing clean and efficient code in R, along with practical references to deepen your understanding. The session is divided into two main parts. The first part focuses on writing clean code, covering best practices for code annotation, organization, and ensuring replicability. The second part delves into optimizing code performance, highlighting the benefits of vectorization and parallel processing in R to enhance speed and efficiency. By the end of the workshop, you’ll have the tools and knowledge to write code that is both readable and high-performing.

Semester: Summer 2024, Summer 2023.

Role: Teaching Fellow (6 credits, UG)

Organizer: MIT Office of Experiential Learning

Description: Experiential Ethics is a collaborative, discussion-based summer course where students gain theoretical and practical tools while reflecting critically on their personal, professional, and political roles. The class can be taken by itself or alongside popular experiential learning programs and internships, such as UROP, MISTI, or PKG opportunities. In small-group weekly sessions, students engage in conversations about their own values as well as the moral, social, and political dimensions of their summer experiences.

Semester: Summer 2024.

Role: Workshop Instructor (2 hours)

Organizer: Pathways to Political Science Summer Research interns Program

Description: Pathways@GDL is an internship program designed to broaden the pipeline into U.S. political science PhD programs by supporting students from diverse backgrounds as they explore research careers. This workshop provides an accessible introduction to quantitative causal inference, focusing on the potential outcomes framework and the core tools researchers use to identify causal effects.

Semester: Spring 2015, Fall 2016.

Department: Public Administration (UG)

University: Universidad de Chile

Description: Introduction to Research Design for Public Administrators. The course is divided into two sections: the first outlines foundational principles of social inquiry, while the second familiarizes students with key research traditions and commonly used methodological tools. Emphasis is placed on hands-on practice and applied examples.

Semester: Spring 2016.

Department: Public Administration (UG)

University: Universidad de Chile

Description: This is the second course in the methodological sequence for public administrators. The first part introduces the principles of qualitative and comparative research. The second part covers canonical research designs and key techniques such as document analysis, observation, and interviews.

Semester: Fall 2019, Spring 2020.

Department: Anthropology (UG)

University: Universidad Alberto Hurtado

Description: First course in the quantitative methods sequence for anthropologists. This course introduces students to quantitative reasoning and data analysis with applications in the social sciences. The material is organized into three modules: the logic of quantitative research and measurement, the fundamentals of probability, and key tools for describing and summarizing data (descriptive statistics).

Semester: Spring 2020.

Department: Anthropology (UG)

University: Universidad Alberto Hurtado

Description: Second course in the quantitative methods sequence for anthropologists. This course introduces students to inferential statistics. The material is organized into two modules: probability, and statistical inference, including point estimation, confidence intervals, and hypothesis testing.

Semester: Spring 2020.

Department: Anthropology (UG)

University: Universidad Alberto Hurtado

Description: Third course in the quantitative methods sequence for anthropologists. This course introduces students to regression analysis. The course begins with a review of material covered in Quantitative Methods I and introduces core concepts such as the Central Limit Theorem and the Law of Large Numbers. It then turns to linear regression analysis, examining its properties, underlying assumptions, and associated diagnostic tests. Throughout the course, emphasis is placed on empirical applications and the careful interpretation of results.

Semester: Summer 2025, Summer 2024.

Role: Workshop Instructor (1 day)

Organizer: ELSOC–COES Winter School on Longitudinal Methods for Social Research

Description: This workshop offers an accessible introduction to longitudinal data analysis using fixed-effects and random-effects models. I emphasize conceptual clarity and theoretical intuition, with mathematical rigor deferred to the appendix. The session also covers the key empirical decisions researchers face when working with panel data—when to use each model, how to interpret estimates, and the assumptions underlying them. This one-day workshop includes hands-on exercises in R and is taught in Spanish. Participants are expected to have prior experience with R and an intermediate understanding of linear regression.

Semester: Summer 2018, Summer 2017, Summer 2016.

Role: Workshop Instructor (6 hours)

Organizer: Summer School in Mixed Methods

Description: Short introductory workshops on the use of software and social network analysis in the context of the Summer School in Mixed Methods.