Privacy & Compliance Regulatory Landscape¶
Run the Regulatory Landscape MicroSim Fullscreen
About This MicroSim¶
A 2D map of the major privacy and compliance regimes plotted on two axes: geographic scope (single state → global) and sector scope (cross-sector → sector-specific). Edges connect regulations with shared rights (e.g., access, deletion) or modeling lineage (LGPD and PIPL are GDPR-modeled).
Use the filter to see which regulations apply to a given data type (health, finance, card, generic personal). Click any node for the year of force, regulator, max penalty, and a one-line summary of what it actually demands.
Embedding This MicroSim¶
<iframe src="https://dmccreary.github.io/information-systems/sims/privacy-regulatory-landscape/main.html"
height="722px" width="100%" scrolling="no"></iframe>
Lesson Plan¶
Learning Objectives¶
By the end of this activity, students will be able to:
- Place each major privacy/compliance regulation on a sector × geography map
- Identify which regulations co-apply to a given system or data type
- Read the matrix to scope a compliance program for a hypothetical company
- Compare maximum penalties across regimes
Suggested Activities¶
- Map Walk (5 min) — Click each node; recite year, regulator, max penalty
- Co-Application Drill (10 min) — For a US healthcare startup serving EU customers, list every applicable regulation
- Penalty Reflection (5 min) — Order the eight regulations by maximum penalty; what does this say about regulatory priorities?
References¶
- IAPP (annual). Global Privacy Law Tracker.
- Bygrave, L. (2014). Data Privacy Law: An International Perspective.