data economics · Self-paced
Data Economics for Platforms
Connect microeconomic intuition to data pipelines: when personalization creates surplus, when it extracts, and how portability changes competitive dynamics. Includes ethics discussion without moralizing.
What is included
- Data flow diagrams for common platform types
- Exercises on diminishing returns to user data
- Privacy economics primer (non-legal)
- Workshop on explaining data use to users
- Reading pack on open banking parallels
- Calculator for simple surplus split scenarios
- Final memo on a hypothetical portability mandate
Outcomes
- Describe three mechanisms linking data to market power
- Identify when 'more data' stops improving outcomes
- Communicate trade-offs of a portability rule in plain language
FAQ
Programming?
Optional snippets; core work is conceptual with spreadsheet support.
PDPA focus?
We reference Thailand PDPA at a high level; legal compliance needs your counsel.
Honest limitation?
We do not provide data valuation for transactions — frameworks only.
Participant notes
“Diminishing returns exercise changed how we talk about model training budgets — smaller, honest story.”