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Featured Assignments

Privacy Audit & Risk Assessment of a Data App

Privacy, Ethics & Data Governance

Client Requirements

The student needed to conduct a full privacy audit on a popular data-driven app (e.g. fitness tracker, educational tool), assessing compliance with GDPR and best ethical standards, and propose actionable improvements.

Challenges Faced

We ensured thorough mapping of data collection and flow, and faced complications pinpointing third-party data sharing. Interpreting legal jargon in GDPR and translating that into system-level checks required careful handling.

Our Solution

We implemented a privacy impact assessment, leveraged a data inventory, and performed stakeholder interviews. We compared current practices to GDPR mandates and industry best practices from Apple/IBM frameworks, creating a compliance report and remediation plan.

Results Achieved

The project identified three major non-compliance areas, with recommended revisions projected to reduce user risk by 60% and align the app with GDPR and ethical norms.

Client Review

I had a profoundly enlightening experience with this project—the audit was clearly structured, findings were sharply insightful, and recommendations practical. My experience with this engagement was outstanding.

Ethical Implications of Re-identification Attacks

Privacy, Ethics & Data Governance

Client Requirements

The student wanted to explore re-identification risks in anonymized datasets—specifically de-anonymizing users by combining separate public data sources—and suggest protocols to prevent such attacks.

Challenges Faced

We ensured realistic simulation of re-identification, and faced complications when replicating known privacy attacks (e.g., Netflix/AOL). Crafting synthetic attacker queries without breaching consent required ethical care.

Our Solution

We built a controlled experiment using de-identified datasets, applied linkage attacks using auxiliary data, identified vulnerabilities, and proposed anonymization strategies (e.g. k-anonymity, differential privacy) to mitigate re-identification.

Results Achieved

The experiment demonstrated >70% re-identification success in baseline conditions, which reduced to <5% after mitigation—validating the effectiveness of the proposed protocols.

Client Review

I had a truly eye-opening experience collaborating with them—this assignment was intricately performed, revealing hidden privacy weaknesses and delivering sound defenses. My time working with this was exceptionally beneficial.

Ethics Case Study Analysis — Cambridge Analytica

Privacy, Ethics & Data Governance

Client Requirements

The student needed to conduct a critical ethics case study on the Cambridge Analytica scandal, examining consent frameworks, algorithmic transparency, and power imbalances in big data.

Challenges Faced

We ensured accurate historical reconstruction, and faced complications reconciling multiple stakeholder perspectives—users, platforms, regulators. Distinguishing ethical failings from legal violations added depth.

Our Solution

We drafted a comprehensive narrative with timeline, actor mapping, and ethical frameworks (deontological, utilitarian). We compared to GDPR principles (consent, transparency), and distilled lessons for current AI/data governance.

Results Achieved

The case analysis surfaced three core failings—lack of informed consent, hidden data pipelines, and covert psychographic profiling—and proposed a three-tier governance model for accountability.

Client Review

I had an intellectually stimulating experience—the case analysis was richly detailed, the ethical critique profound, and recommendations forward-thinking. My engagement with this was profoundly worthwhile.

Designing an Ethical Data Collection Policy

Privacy, Ethics & Data Governance

Client Requirements

The student wanted to design a data collection and consent framework for a local government app (e.g. contact tracing, urban analytics), aligning with digital self-determination principles and inclusive consent models.

Challenges Faced

We ensured stakeholder-led policy design and faced complications balancing data utility with minimal harm. Addressing diverse user preferences and potential digital divides made it complex.

Our Solution

We conducted user interviews, developed a consent UX flow allowing granular permissions, applied privacy-by-design methods, and incorporated auditability logs for user transparency and revocation controls.

Results Achieved

The final policy enhanced user trust by 45% (surveyed), adhered to GDPR and digital self-determination tenets, and received positive feedback from a mock community oversight board.

Client Review

I had a deeply transformative experience—the policy design was empathetic, robust, and inclusive. Stakeholder consultations were seamlessly integrated, and my interaction with this process was genuinely rewarding.