When a data project leaves your hands, the ethical choices you made will travel with it, and those choices can sometimes lead to significant consequences. In this course, you will apply your knowledge to situations where seemingly small ethical choices made by individuals result in large, “macro-ethics” problems of fairness, justice, privacy, and consent. You will trace the data science lifecycle to anticipate consequences and discuss the importance of transparency and accountability in your work. Finally, you will practice applying moral imagination to a data lifecycle and ecosystem then develop recommendations for monitoring and intervention based on that context. By recognizing the connections between desk-level choices and world-level impacts, you will acquire the skill to move your data science work in a positive direction.