Ethics, Privacy, and Social Justice in Data Science
Ethics, Privacy, and Social Justice in Data Science
Course Information
Institution: Regis University, Denver, CO
Department: Marketing and Data Science
Level: Graduate
Prerequisites: MSDS-600 Introduction to Data Science
Course Description
This course explores ethical and privacy issues in data science through case studies and professional conduct codes. It ultimately focuses on data science experiments aimed at promoting social justice. It seeks to develop a thorough understanding of data science ethics, privacy implications, and social justice applications.
Learning Outcomes
Upon successful completion of this course, students will be able to:
- Articulate ethics, privacy, and social justice issues within data science
- Apply ethical and privacy standards throughout the data science project lifecycle
- Identify ethical and privacy concerns associated with Big Data, data mining, and social media analysis
- Evaluate ethical and confidentiality standards and codes in data science
- Connect data science discipline to advancing social justice
- Develop strategies for responsible data collection and analysis
Course Schedule
| Lecture | Topic | |---------|------------------------------------------| | 1 | Introduction to Ethics, Privacy, and Social Justice | | 2 | Ethics, Privacy, and the Data Science Project Lifecycle | | 3 | Ethics, Privacy, and the Data Science Project Lifecycle | | 4 | Government Regulations and Governance | | 5 | Ethics and Privacy in Government Analytics | | 6 | Social Media and the Internet in Data Science | | 7 | Data Science for Social Justice | | 8 | Data Science Social Justice Data Sources |Final Grand Case Studies by Students
- Ethical AI in Hiring by Pavan Kalyan Reddy Kamasaani, Praveen Goud Angolla, and Karunakar Thammadi
- Data Breach Analysis: A Comprehensive Study by Maryi Palacios, Barsha Kakshapatii, and Villi Sigurdsson
- Ethical Analysis of Predictive Analytics in Retail Industry by Madhuri Kothi, Nahian Arnob, and Chamundeshwari Kottur
- Resume Bias in AI Hiring Systems by Kommineni Rayudu, Sonam Rinjin Sherpa, Karthik Javvaji, and Raji Reddy
- Breast Cancer Patient Bias by Prakriti Dahal, Rabin Acharya, Apurba Poudel, and Adam Khay