Students will learn how to:
1) translate abstract concepts in ethics into practical tools for reasoning and decisionmaking,
2) identify and distinguish between immediate, medium term and longer term ethical/legal problems,
3) predict and reason about the social, legal and environmental impacts of their work as data science entrepreneurs.
- Analytical writing;
- Evaluating each other’s work on different levels;
- Balancing the demands of different domains with regard to entrepreneurship;
- Making complex considerations accessible in the form of a briefing/proposal
Participation component of the grade is based on participation during the whole course. Written assignment component will be produced during the final weeks of the course.
This course builds on JM0160 – IP and Privacy
Required software and hardware: N/A
JM0160 – Intellectual Property and Privacy
- Required literature will be composed of academic and policy papers relating to particular weeks’ topics; specific readings will be indicated in the syllabus.