Koren.dev
← Back to home

Discovering Discrimination with Data

Miklós Koren

Miklós Koren

Professor

Lorem

Step into the courtroom and discover how data tells compelling stories in this innovative experiential learning course. You’ll participate in a mock gender discrimination lawsuit as either plaintiff attorneys, defense counsel, or data science consultants, using real statistical methods to build your case.

What Makes This Course Unique

Hands-On Legal Simulation: Work in competing teams to analyze actual workplace data and present your findings in a courtroom setting. No boring lectures—you’ll learn by doing.

Physical Data Cards: Experience statistics through our unique “Cardan Card” system—physical cards that make abstract statistical operations tangible and memorable.

Progressive Discovery: Each session reveals new layers of complexity, from basic sampling issues to sophisticated causal analysis, with surprising twists that challenge your assumptions.

What You’ll Master

  • Statistical Reasoning: Hypothesis testing, regression analysis, and recognizing bias in data
  • Critical Thinking: Distinguish correlation from causation, spot Simpson’s paradox, evaluate statistical significance
  • Professional Communication: Present complex statistical findings persuasively to non-technical audiences
  • Business Relevance: Understand workplace discrimination, legal standards, and ethical decision-making

Course Format

Duration: Intensive 2-day workshop (16 hours)
Structure: Team-based competition with courtroom presentations
Assessment: Real-time evaluation through peer critique and instructor feedback on expert reports and presentations

Resources

Recommended Courses

Coding for Economists

This course teaches how to organize data and code on your computer, how to write simple programs in Python to automate tasks, and how to use Stata throughout the steps of the your research process.

Engineering and Analytics

Data engineering is increasingly important to leverage the value created by data scientists and analysts. Executives who understand the basics of data engineering can help their team create data products that are easy to change in response to ever changing business requirements. This course offers a high-level overview of the types of decisions data engineers have to make, and a hands-on illustration of the most common problems on real-world data. The key goal of this course is to help executives make decisions about the data analytics efforts of their business and ask the right questions from their team. This will help increase the Return On Investment of analytics projects so that data can serve as a competitive advantage of the business.