The Politics of Data and Privacy Training Course

The Politics of Data and Privacy Training Course

Introduction

In our increasingly interconnected world, data has become an invaluable asset, driving innovation, economic growth, and social change. Yet, this digital transformation comes with significant challenges, especially concerning data privacy and digital ethics. The collection, use, and governance of personal information by corporations and governments raise critical questions about power, accountability, and individual rights. The Politics of Data and Privacy Training Course is designed to equip professionals with the knowledge and skills to navigate this complex landscape, exploring the intricate politics of data and its profound societal impact. We will delve into the ethical considerations, regulatory frameworks, and technological advancements shaping the future of information governance, ensuring you are prepared to champion data stewardship and privacy protection.

This comprehensive program moves beyond mere compliance, focusing on the strategic and political dimensions of data. Participants will gain a deep understanding of the global data economy, the influence of big tech, and the role of algorithmic governance in shaping our lives. By examining real-world case studies and exploring the evolving landscape of cybersecurity and data sovereignty, you'll learn to identify and mitigate privacy risks, build public trust, and advocate for more equitable data practices. This course is an essential investment for anyone seeking to lead with integrity in the digital age, fostering a culture of responsible innovation and privacy by design.

Course Duration

5 days

Course Objectives

1. Analyze the geopolitical implications of cross-border data flows and data localization.
2. Evaluate the impact of algorithmic bias and data discrimination on social equity and fairness.
3. Master the principles of privacy by design and privacy-enhancing technologies (PETs).
4. Identify key global regulatory frameworks, including GDPR, CCPA, and emerging AI regulations.
5. Develop effective strategies for data governance and risk management.
6. Understand the surveillance economy and the ethical responsibilities of data collection.
7. Explore the challenges of data ethics in the context of machine learning and AI.
8. Formulate a robust data breach response and incident management plan.
9. Recognize the rights of data subjects, including data portability and the right to be forgotten.
10. Assess the role of privacy professionals in fostering a privacy-aware culture.
11. Examine the evolving landscape of cyber warfare and state-sponsored cyber threats.
12. Apply legal and ethical principles to real-world scenarios through case study analysis.
13. Communicate the business value of data privacy to stakeholders and leadership.

Organizational Benefits

• Proactively reduce the risk of costly data breaches and regulatory fines by building a privacy-conscious workforce.
• Build and maintain customer trust and loyalty by demonstrating a strong commitment to data protection.
• Ensure your organization adheres to a complex web of global and regional data protection laws, avoiding legal repercussions.
• Protect your brand's reputation and avoid public backlash associated with privacy scandals.
• Differentiate your business in the marketplace by marketing a strong privacy-centric approach.
• Implement streamlined data governance processes that improve data quality and security.
• Foster an organizational culture where employees are empowered to act as data stewards.

Target Audience

1. Corporate Executives & Senior Leadership
2. Legal & Compliance Professionals
3. IT & Cybersecurity Professionals
4. Data Analysts & Data Scientists
5. HR & Marketing Managers
6. Product Managers & Engineers
7. Government Officials & Policy Makers
8. Researchers & Academics

Course Modules

Module 1: The Foundations of Data Politics 

• Data as Power.
• Privacy in the Digital Age.
• The Surveillance Economy.
• Ethical Frameworks.
• Case Study: The Cambridge Analytica Scandal: Examining the weaponization of personal data in a political context.

Module 2: Global Privacy Laws and Regulatory Frameworks

• GDPR: The Gold Standard
• CCPA & CPRA
• Emerging Regulations.
• Cross-Border Data Transfers.
• Case Study: The Schrems II Ruling: How a court case against Facebook reshaped EU-US data transfers.

Module 3: Algorithmic Governance & Bias

• How Algorithms Shape Society.
• Identifying Algorithmic Bias.
• Data Discrimination.
• The Black Box Problem.
• Case Study: Amazon's Biased Hiring Algorithm: How an AI tool learned to discriminate against female candidates.

Module 4: Privacy by Design & Technology

• The 7 Foundational Principles.
• Privacy-Enhancing Technologies (PETs).
• Data Minimization.
• Anonymization vs. Pseudonymization.
• Case Study: Apple's Privacy-Centric Approach: Analyzing how a major tech company markets privacy as a core feature.

Module 5: Data Governance and Stewardship

• Establishing a Governance Framework.
• Roles & Responsibilities.
• Data Mapping & Auditing.
• Third-Party Risk Management.
• Case Study: The Equifax Data Breach: A breakdown of a catastrophic failure in data governance and security.

Module 6: Data Breach & Incident Response

• Breach Notification Laws.
• Developing a Response Plan.
• Communication & Public Relations.
• Post-Mortem Analysis.
• Case Study: The Capital One Data Breach: Analyzing the incident's technical causes and the company's response.

Module 7: Digital Rights & Activism

• The Right to Be Forgotten.
• Data Portability & Subject Access Requests.
• Advocacy & Public Policy.
• The Future of Digital Rights.
• Case Study: The Right to Repair Movement: How consumer rights activism is extending to digital devices and data.

Module 8: Building a Privacy-Aware Culture

• Leadership Buy-In.
• Employee Training & Awareness.
• Incentivizing Privacy.
• Cross-Functional Collaboration
• Case Study: Google's Internal Data Privacy Program: Analyzing how a tech giant manages privacy across its vast operations.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.