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Jan 14, 2025
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PH325 Data Ethics3 credit(s) The power of data analytics to help us understand our world increases daily due to technological advances in strategies for collecting data (passively), implementing studies (randomized experiments), analyzing data (algorithms divorced from theory, history, or a fully contextualized understanding of the consequences of data-driven decisions), and disseminating findings both to broad public audiences and to narrow groups who are disproportionately impacted. In this course, we will explore the moral, social, and ethical ramifications of the choices we make at the different stages of the data analysis pipeline, from data collection and storage to understand feedback loops in analysis. Through class discussions, case studies, exercises, and activities, students will learn the basics of ethical thinking in
science, understand the history of ethical dilemmas in scientific work, and study the distinct challenges associated with ethics in modern data science.
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