Teaching

Foundation of Economics Science (for Computer Scientists)

Course Outline:

  1. Understanding Individual Choices using Machine Learning
  2. Data as a Good
  3. Taxation in the Age of Information Technologies
  4. Growth and Innovation
  5. Discrimination and AI Bias
  6. Networks and Social Media
  7. Blockchain & Bitcoin

Politics and Economics

Course Outline:

  1. Evaluating Empirical Research
  2. Interpersonal Utility Comparison
  3. Politics/Politicians
  4. Aims of Policy
  5. Polarization
  6. Rent Seeking and Lobbying
  7. Social Media
  8. Discrimination
  9. Conflict

Machine Learning Reading Group

Reading Group Outline:

  1. Text as Data
  2. Supervised Machine Learning
  3. Supervised Machine Learning Classifiers
  4. Machine Learning Basics
  5. Unsupervised Machine Learning
  6. Topic Models

A Primer in Social Media Research

Lecture Outline:

  1. Why Social Media Research is Relevant
  2. How to Collect Social Media Data
  3. Using Machine Learning for Social Media Research
  4. Examples of Social Media Research