Ethics and Privacy in Social Data Science
( 25 Modules )

Module #1
Introduction to Ethics and Privacy in Social Data Science
Overview of the importance of ethics and privacy in social data science, and the goals of the course.

Module #2
Foundations of Ethics in Data Science
Introduction to ethical theories and principles relevant to data science, including confidentiality, autonomy, and justice.

Module #3
Privacy Fundamentals
Overview of privacy concepts, including data minimization, purpose limitation, and transparency.

Module #4
Legal and Regulatory Frameworks
Review of key laws and regulations related to privacy and data protection, including GDPR, CCPA, and HIPAA.

Module #5
Ethical Considerations in Social Media Analysis
Exploration of ethical issues in collecting and analyzing social media data, including informed consent and privacy settings.

Module #6
Data Protection in Online Experiments
Discussion of ethical considerations in online experiments, including A/B testing and user consent.

Module #7
Bias and Discrimination in Algorithmic Decision-Making
Examination of how algorithms can perpetuate bias and discrimination, and strategies for mitigation.

Module #8
Transparency and Explainability in AI Systems
Importance of transparency and explainability in AI systems, and methods for achieving them.

Module #9
Data Anonymization and De-identification
Techniques for protecting individual privacy through data anonymization and de-identification.

Module #10
Privacy-Preserving Data Analysis
Methods for performing data analysis while protecting individual privacy, including differential privacy and secure multi-party computation.

Module #11
Ethical Considerations in Data Sharing and Collaboration
Discussion of ethical issues in sharing and collaborating on data, including data licenses and access controls.

Module #12
Case Studies in Ethics and Privacy
In-depth examination of notable cases in ethics and privacy, including Facebooks Cambridge Analytica scandal and the Google Street View WiFi data collection controversy.

Module #13
Human Subjects Research and Institutional Review Boards
Overview of human subjects research regulations and institutional review boards (IRBs).

Module #14
Privacy by Design and Default
Introduction to privacy by design and default principles, and how to integrate them into data science practices.

Module #15
Ethical Leadership and Decision-Making
Strategies for ethical leadership and decision-making in data science organizations and teams.

Module #16
Stakeholder Engagement and Communication
Importance of stakeholder engagement and communication in ethics and privacy, including transparency reports and data protection impact assessments.

Module #17
Ethics and Privacy in Emerging Technologies
Exploration of ethics and privacy considerations in emerging technologies, including IoT, AR, and VR.

Module #18
Privacy Engineering and Architecture
Design principles and architectures for building privacy-preserving systems and applications.

Module #19
Incident Response and Data Breach Notification
Strategies for incident response and data breach notification, including legal and regulatory requirements.

Module #20
Ethics and Privacy in International Contexts
Comparison of ethics and privacy regulations and standards in different countries and regions.

Module #21
Data Ethics in Criminal Justice and Law Enforcement
Examination of ethical considerations in the use of data in criminal justice and law enforcement, including predictive policing and facial recognition.

Module #22
Data Ethics in Healthcare and Biomedical Research
Discussion of ethical issues in the use of data in healthcare and biomedical research, including electronic health records and genomics.

Module #23
Data Ethics in Education
Exploration of ethical considerations in the use of data in education, including learning analytics and student privacy.

Module #24
Data Ethics in Employment and Human Resources
Examination of ethical issues in the use of data in employment and human resources, including AI-powered hiring and workforce analytics.

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Ethics and Privacy in Social Data Science career

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Ethics and Privacy in Social Data Science ( 25 Modules )

Ethics and Privacy in Social Data Science
( 25 Modules )