Advanced Data Privacy and Ethical Data Governance

Welcome to the frontier of advanced data privacy and ethical data governance! I am Prof. Dr. Ou Meng. As a leading researcher on the future of data privacy , developing new legal and technical frameworks for ethical data governance in an era of big data and AI, I guide doctoral students in the Advanced Data Privacy and Ethical Data Governance program at Nexier University on their journey to becoming architects of data trust.

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Level: Doctorate
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leads research on the future of data privacy. Develops new legal and technical frameworks for ethical data governance in an era of big data and AI.

Practical focus

Research in data protection law and ethics, policy development, leadership in data governance, influencing global standards.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Internships in international data privacy organizations or research institutions
Roles as global privacy policy analysts or data ethicists
Support roles in academic research projects on ethical data governance
Opportunities in UN agencies or international regulatory bodies

Career opportunities

Chief Data Ethicist
Privacy-Preserving AI Researcher
Data Governance Policy Advisor
Legal & Ethical AI Specialist

Jobs and projects

Advanced research and ethical analysis for data privacy and governance
Policy development and legal/technical framework design for ethical data use
Strategic thinking for data trust ecosystems and global data standards
Leadership and future-shaping thinking for ethical data governance

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering advanced research in data protection law and ethics.
- Gaining expertise in policy development and leadership in data governance.
- Developing problem-solving abilities for influencing global standards and shaping the future of data privacy.
- Cultivating a rigorous approach to understanding data privacy research.
Skills you build
- Leading groundbreaking research on the future of data privacy.
- Developing new legal and technical frameworks for ethical data governance in an era of big data and AI.
- Excelling at research in data protection law and ethics, and policy development.
- Ensuring ethical data governance and influencing global standards.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Advanced Data Privacy and Ethical Data Governance

01Advanced Data Privacy Theories
1. FoundationsFoundations of Advanced Data Privacy Theories
  The learner can master advanced research in data protection law and ethics, as applied to Advanced Data Privacy Theories.
  The learner can gain expertise in policy development and leadership in data governance, as applied to Advanced Data Privacy Theories.
2. MethodsMethods in Advanced Data Privacy Theories
  The learner can develop problem-solving abilities for influencing global standards and shaping the future of data privacy, as applied to Advanced Data Privacy Theories.
  The learner can cultivating a rigorous approach to understanding data privacy research, as applied to Advanced Data Privacy Theories.
3. ApplicationApplication of Advanced Data Privacy Theories
  The learner can leading groundbreaking research on the future of data privacy, as applied to Advanced Data Privacy Theories.
  The learner can develop new legal and technical frameworks for ethical data governance in an era of big data and AI, as applied to Advanced Data Privacy Theories.
02Ethical Data Governance Frameworks
1. FoundationsFoundations of Ethical Data Governance Frameworks
  The learner can excelling at research in data protection law and ethics, and policy development, as applied to Ethical Data Governance Frameworks.
  The learner can ensuring ethical data governance and influencing global standards, as applied to Ethical Data Governance Frameworks.
2. MethodsMethods in Ethical Data Governance Frameworks
  The learner can apply a method from Ethical Data Governance Frameworks to a documented case.
  The learner can select an appropriate method from Ethical Data Governance Frameworks for a stated problem.
3. ApplicationApplication of Ethical Data Governance Frameworks
  The learner can evaluate a practice of Ethical Data Governance Frameworks against a stated criterion.
  The learner can transfer Ethical Data Governance Frameworks to a new documented context.
03Legal & Technical Aspects of Privacy-Preserving AI
1. FoundationsFoundations of Legal & Technical Aspects of Privacy-Preserving AI
  The learner can explain the core terms of Legal & Technical Aspects of Privacy-Preserving AI.
  The learner can distinguish related ideas inside Legal & Technical Aspects of Privacy-Preserving AI.
2. MethodsMethods in Legal & Technical Aspects of Privacy-Preserving AI
  The learner can apply a method from Legal & Technical Aspects of Privacy-Preserving AI to a documented case.
  The learner can select an appropriate method from Legal & Technical Aspects of Privacy-Preserving AI for a stated problem.
3. ApplicationApplication of Legal & Technical Aspects of Privacy-Preserving AI
  The learner can evaluate a practice of Legal & Technical Aspects of Privacy-Preserving AI against a stated criterion.
  The learner can transfer Legal & Technical Aspects of Privacy-Preserving AI to a new documented context.
04Data Trust Ecosystems
1. FoundationsFoundations of Data Trust Ecosystems
  The learner can explain the core terms of Data Trust Ecosystems.
  The learner can distinguish related ideas inside Data Trust Ecosystems.
2. MethodsMethods in Data Trust Ecosystems
  The learner can apply a method from Data Trust Ecosystems to a documented case.
  The learner can select an appropriate method from Data Trust Ecosystems for a stated problem.
3. ApplicationApplication of Data Trust Ecosystems
  The learner can evaluate a practice of Data Trust Ecosystems against a stated criterion.
  The learner can transfer Data Trust Ecosystems to a new documented context.
05Research Methods in Data Ethics
1. FoundationsFoundations of Research Methods in Data Ethics
  The learner can explain the core terms of Research Methods in Data Ethics.
  The learner can distinguish related ideas inside Research Methods in Data Ethics.
2. MethodsMethods in Research Methods in Data Ethics
  The learner can apply a method from Research Methods in Data Ethics to a documented case.
  The learner can select an appropriate method from Research Methods in Data Ethics for a stated problem.
3. ApplicationApplication of Research Methods in Data Ethics
  The learner can evaluate a practice of Research Methods in Data Ethics against a stated criterion.
  The learner can transfer Research Methods in Data Ethics to a new documented context.
06Advanced Data Protection Research
1. FoundationsFoundations of Advanced Data Protection Research
  The learner can explain the core terms of Advanced Data Protection Research.
  The learner can distinguish related ideas inside Advanced Data Protection Research.
2. MethodsMethods in Advanced Data Protection Research
  The learner can apply a method from Advanced Data Protection Research to a documented case.
  The learner can select an appropriate method from Advanced Data Protection Research for a stated problem.
3. ApplicationApplication of Advanced Data Protection Research
  The learner can evaluate a practice of Advanced Data Protection Research against a stated criterion.
  The learner can transfer Advanced Data Protection Research to a new documented context.
07Ethical AI and Data Governance
1. FoundationsFoundations of Ethical AI and Data Governance
  The learner can explain the core terms of Ethical AI and Data Governance.
  The learner can distinguish related ideas inside Ethical AI and Data Governance.
2. MethodsMethods in Ethical AI and Data Governance
  The learner can apply a method from Ethical AI and Data Governance to a documented case.
  The learner can select an appropriate method from Ethical AI and Data Governance for a stated problem.
3. ApplicationApplication of Ethical AI and Data Governance
  The learner can evaluate a practice of Ethical AI and Data Governance against a stated criterion.
  The learner can transfer Ethical AI and Data Governance to a new documented context.
08Global Privacy Policy Development
1. FoundationsFoundations of Global Privacy Policy Development
  The learner can explain the core terms of Global Privacy Policy Development.
  The learner can distinguish related ideas inside Global Privacy Policy Development.
2. MethodsMethods in Global Privacy Policy Development
  The learner can apply a method from Global Privacy Policy Development to a documented case.
  The learner can select an appropriate method from Global Privacy Policy Development for a stated problem.
3. ApplicationApplication of Global Privacy Policy Development
  The learner can evaluate a practice of Global Privacy Policy Development against a stated criterion.
  The learner can transfer Global Privacy Policy Development to a new documented context.
09International Data Transfer Law
1. FoundationsFoundations of International Data Transfer Law
  The learner can explain the core terms of International Data Transfer Law.
  The learner can distinguish related ideas inside International Data Transfer Law.
2. MethodsMethods in International Data Transfer Law
  The learner can apply a method from International Data Transfer Law to a documented case.
  The learner can select an appropriate method from International Data Transfer Law for a stated problem.
3. ApplicationApplication of International Data Transfer Law
  The learner can evaluate a practice of International Data Transfer Law against a stated criterion.
  The learner can transfer International Data Transfer Law to a new documented context.
10Comparative Data Ethics
1. FoundationsFoundations of Comparative Data Ethics
  The learner can explain the core terms of Comparative Data Ethics.
  The learner can distinguish related ideas inside Comparative Data Ethics.
2. MethodsMethods in Comparative Data Ethics
  The learner can apply a method from Comparative Data Ethics to a documented case.
  The learner can select an appropriate method from Comparative Data Ethics for a stated problem.
3. ApplicationApplication of Comparative Data Ethics
  The learner can evaluate a practice of Comparative Data Ethics against a stated criterion.
  The learner can transfer Comparative Data Ethics to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on leading research on the future of data privacy. I develop new legal and technical frameworks for ethical data governance in an era of big data and AI. My publications like "Federated Learning for Privacy-Preserving AI Training" and "Blockchain for Decentralized Data Governance" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Ethicist, AI & Data at the World Economic Forum and a Co-Chair of the Global Partnership on AI (GPAI) Data Governance Working Group. I publish seminal works and participate in high-level global policy debates on digital human rights, the ethics of data commodification, and the future of data trust ecosystems, frequently featured in publications like Science or Nature Human Behaviour. My voice carries a blend of scientific expertise and a deep commitment to ethical principles, inspiring students to become architects of data trust.

Applied mentorship

My expertise lies in research in data protection law and ethics, policy development, leadership in data governance, and influencing global standards. I guide students in advanced research in data protection law and ethics. I excel at policy development and leadership in data governance. I focus on influencing global standards and shaping the future of data privacy , and provide rigorous guidance and encourages interdisciplinary teamwork in data privacy research. My tone is that of a seasoned data protection researcher and policy expert, providing rigorous guidance and fostering excellence in ethical data governance.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research focuses on digital human rights, the ethics of data commodification, and the future of data trust ecosystems:

Book: "Data Trust: Ethical Data Governance in the AI Era." This book represents a definitive work for leading research on the future of data privacy. It covers developing new legal and technical frameworks for ethical data governance in an era of big data and AI.

Peer-Reviewed Journal Article: "Blockchain-Based Consent Management for Personal Data in a Distributed Environment." Published in the International Journal of Ethical Data Governance, this article presents pioneering research on the future of data privacy. It develops new legal and technical frameworks for ethical data governance in an era of big data and AI , showcasing novel blockchain-based consent management systems for enhanced individual control over personal data.

Article: "Legal and Ethical Implications of AI-Driven Data Aggregation." This article presents advanced research on the legal and ethical implications of AI-driven data aggregation. It explores how vast amounts of personal data are collected, combined, and analyzed by AI systems, discussing concerns around re-identification, inferential privacy, and the need for robust ethical guidelines for responsible data use.

Blog Post (Current Academic Topic): "Differential Privacy: The Future of Responsible Data Sharing and Analytics." This blog post academically explores Differential Privacy, a rigorous mathematical framework that allows for quantitative analysis of large datasets while providing strong guarantees of individual privacy. It discusses how differential privacy enables safe data sharing for research, policy-making, and commercial applications without revealing sensitive personal information, addressing the growing demand for privacy-preserving data analytics.

Blog Post (Controversial Topic): "The Algorithmic Judge: When AI Decides Justice – Fairness or Flawed Sentencing? The Ethical Dilemma of Autonomous Legal Systems." This article provocatively discusses the highly controversial future where advanced AI systems autonomously make legal judgments, from assessing culpability and determining sentences to allocating legal aid and predicting recidivism, with minimal human oversight. It questions whether AI, despite its potential for hyper-efficiency and reduced human bias, could inadvertently lead to "black box" judicial decisions, algorithmic discrimination against vulnerable populations, or an erosion of fundamental human rights within the justice system. It raises profound ethical questions about accountability in AI-driven legal outcomes, the imperative to ensure human empathy in justice, and the fundamental definition of fairness in an AI-powered legal system.

R / 02

Mentor practice lens

My publications focus on technical papers, research articles, and review articles in advanced data privacy and ethical data governance:

Technical Paper: "Privacy-Enhancing Technologies in Practice: A Legal and Technical Review".

Research Article: "The Ethics of AI in Data-Driven Surveillance".

Review Article: "Global Standards for Cross-Border Data Flows: Towards a Unified Framework".

Adaptive capability

Professor superpower

I possess a "superpower": Ethical Data Governance Architect. When a student designs a data governance framework for a complex AI project, Ou can instantly use the GAF engine to generate an optimized ethical data governance blueprint. This includes simulating data lifecycle risks, predicting potential privacy violations, and highlighting areas for human oversight and intervention, ensuring responsible and trustworthy data practices in the age of big data and AI.

Adaptive capability

Mentor superpower

I possess a "superpower": Global Privacy Landscape Mapper. When students are analyzing data privacy challenges, Rizki can instantly activate a GAF-powered "Global Privacy Landscape Mapper." This tool visualizes the complex web of international data protection laws and regulations, identifies areas of conflict or convergence, and suggests optimal strategies for global compliance and ethical data handling.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Ou Meng

Leads research on the future of data privacy. Develops new legal and technical frameworks for ethical data governance in an era of big data and AI.

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AI Super Mentor

Dr. Rizki Hidayat

Research in data protection law and ethics, policy development, leadership in data governance, influencing global standards.

Meet your mentor Open the classroom

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Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

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Advanced Data Privacy and Ethical Data Governance

Academic focus

Practical focus

Internships in international data privacy organizations or research institutions

Roles as global privacy policy analysts or data ethicists

Support roles in academic research projects on ethical data governance

Opportunities in UN agencies or international regulatory bodies

Chief Data Ethicist

Privacy-Preserving AI Researcher

Data Governance Policy Advisor

Legal & Ethical AI Specialist

Advanced research and ethical analysis for data privacy and governance

Policy development and legal/technical framework design for ethical data use

Strategic thinking for data trust ecosystems and global data standards

Leadership and future-shaping thinking for ethical data governance

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Ou Meng

Dr. Rizki Hidayat

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