Foundation of Economics Science (for Computer Scientists)
Course Outline:
- Understanding Individual Choices using Machine Learning
- Data as a Good
- Taxation in the Age of Information Technologies
- Growth and Innovation
- Discrimination and AI Bias
- Networks and Social Media
- Blockchain & Bitcoin
Politics and Economics
Course Outline:
- Interpersonal Utility Comparison
- Politics/Politicians/Ideology
- Lobbying
- Efficiency: Behaviroul Biases and Addiction
- Efficiency: Market Power
- Efficiency: Negative Externalities
- Equality: Theories of Justice
- Equality: Social Insurance
- Equality: Discrimination
- Conflict
- Social Media
Machine Learning Applications in Economics
Course Outline:
- Introduction Machine Learning and Economics
- A Short Introduction to Natural Language Processing
- Applications of Supervised Machine Learning
- Demand Estimation
- Measuring Racial and Gender Biases Word Embeddings
- Measuring Visual Bias using Image Classification
- Applications of Unsupervised Machine Learning
- Measuring Ideology using Clustering
- Measuring Knowledge Transfers with LSA
- Measuring Central Bank Communication using LDA
Machine Learning Reading Group
Reading Group Outline:
- Text as Data
- Supervised Machine Learning
- Supervised Machine Learning Classifiers
- Causal Machine Learning
- Unsupervised Machine Learning
- Topic Models
A Primer in Social Media Research
Lecture Outline:
- Why Social Media Research is Relevant
- How to Collect Social Media Data
- Using Machine Learning for Social Media Research
- Examples of Social Media Research