These are materials that I’ve produced for various residential and online courses.
Ongoing Teaching
I have taught various iterations of a course on the Science and Implications of Generative AI. The course is aimed toward a non-technical audience with the goal of understanding how generative AI works, how to use it, and how it might shape our world. The Spring 2024 iteration of the course is available for use with attribution, and you can sign up for online courses that we offer at HKS as well.
I also oversee the Evidence for Decisions area of HKS’ Public Leadership Credential. These two courses focus on describing and evaluating the world through the lens of statistics and economics.
Online Artifacts
Here are a set of online modules I produced to convey statistical concepts to students in a Master’s level statistics course. My favorite ones are highlighted with an asterisk. To view these videos in the context of online modules (with explanatory text and multiple choice questions), click here.
Please feel free to use the following materials with proper attribution:
This online module was developed for the Harvard Kennedy School by Teddy Svoronos.
Probability Rules
Discrete Distributions
Making Tradeoffs
- Decision Matrices
- Rankings and Weighted Rankings
- Dominated and Practically Dominated Alternatives*
- NYC Schools Example
- Even Swaps*
Sampling Distributions
ANOVA
Statistical Power (narrated by Prof. Dan Levy)
- Introduction to Statistical Power
- What is Statistical Power?
- How Do We Calculate Statistical Power?*
- Additional Power Animations (no narration)
Multiple Regression
- Introduction
- Interpreting Bivariate Regressions
- Interpreting Multiple Regressions
- Multiple Regression example
- Interpreting Constants