DoctorateFaculty of Global Politics and Society

Big Data Analytics in Public Policy and Governance

Welcome to the intellectual frontier of public administration. I am Prof. Dr. Johanna Weber. As a scholar dedicated to leading the global conversation on the transformative potential and ethical challenges of using big data and AI in public governance, I guide the doctoral candidates of the Big Data Analytics in Public Policy and Governance (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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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

Leading Research on the Transformative Potential and Ethical Challenges of Using Big Data and AI in Public Governance; Developing New Methods for Evidence-Based Policy-Making and Algorithmic Governance.

Practical focus

Advanced Data Science Research, Public Policy Analysis, Causal Inference, Ethical AI in Government, Leadership in Public Sector Innovation.

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

Chief Data Scientist for a government agency or international organization
Director of Public Policy for a major technology company
Researcher at a think tank focused on AI ethics
Consultant on ethical AI in government

Career opportunities

Leading Professor at a top-tier research university
Director of a research institute focused on governance innovation
High-level advisor to a government or international organization on AI policy
Chief Ethicist or a similar role at a leading public sector technology firm

Jobs and projects

Pioneering research and paradigm-shifting analysis
Advanced theoretical and conceptual thinking
Effective communication and leadership in the field of public policy

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 data science research and public policy analysis.
- Gaining expertise in causal inference and ethical AI in government.
- Developing leadership skills in public sector innovation.
- Cultivating a deep commitment to ethical and responsible data-driven governance.
Skills you build
- Leading groundbreaking research on the transformative potential and ethical challenges of using big data and AI in public governance.
- Developing new methods for evidence-based policy-making and algorithmic governance.
- Contributing to high-level academic and policy debates on the future of public administration.
- Becoming a world-renowned expert on the ethical and responsible use of AI in government.

Listed courses

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

Big Data Analytics in Public Policy and Governance

01Big Data and AI in Public Governance
1. FoundationsFoundations of Big Data and AI in Public Governance
  The learner can master advanced data science research and public policy analysis, as applied to Big Data and AI in Public Governance.
  The learner can gain expertise in causal inference and ethical AI in government, as applied to Big Data and AI in Public Governance.
2. MethodsMethods in Big Data and AI in Public Governance
  The learner can develop leadership skills in public sector innovation, as applied to Big Data and AI in Public Governance.
  The learner can cultivating a deep commitment to ethical and responsible data-driven governance, as applied to Big Data and AI in Public Governance.
3. ApplicationApplication of Big Data and AI in Public Governance
  The learner can leading groundbreaking research on the transformative potential and ethical challenges of using big data and AI in public governance, as applied to Big Data and AI in Public Governance.
  The learner can develop new methods for evidence-based policy-making and algorithmic governance, as applied to Big Data and AI in Public Governance.
02Evidence-Based Policymaking Methods
1. FoundationsFoundations of Evidence-Based Policymaking Methods
  The learner can contributing to high-level academic and policy debates on the future of public administration, as applied to Evidence-Based Policymaking Methods.
  The learner can becoming a world-renowned expert on the ethical and responsible use of AI in government, as applied to Evidence-Based Policymaking Methods.
2. MethodsMethods in Evidence-Based Policymaking Methods
  The learner can apply a method from Evidence-Based Policymaking Methods to a documented case.
  The learner can select an appropriate method from Evidence-Based Policymaking Methods for a stated problem.
3. ApplicationApplication of Evidence-Based Policymaking Methods
  The learner can evaluate a practice of Evidence-Based Policymaking Methods against a stated criterion.
  The learner can transfer Evidence-Based Policymaking Methods to a new documented context.
03Algorithmic Governance and Ethics
1. FoundationsFoundations of Algorithmic Governance and Ethics
  The learner can explain the core terms of Algorithmic Governance and Ethics.
  The learner can distinguish related ideas inside Algorithmic Governance and Ethics.
2. MethodsMethods in Algorithmic Governance and Ethics
  The learner can apply a method from Algorithmic Governance and Ethics to a documented case.
  The learner can select an appropriate method from Algorithmic Governance and Ethics for a stated problem.
3. ApplicationApplication of Algorithmic Governance and Ethics
  The learner can evaluate a practice of Algorithmic Governance and Ethics against a stated criterion.
  The learner can transfer Algorithmic Governance and Ethics to a new documented context.
04Digital Democracy and Citizen Participation
1. FoundationsFoundations of Digital Democracy and Citizen Participation
  The learner can explain the core terms of Digital Democracy and Citizen Participation.
  The learner can distinguish related ideas inside Digital Democracy and Citizen Participation.
2. MethodsMethods in Digital Democracy and Citizen Participation
  The learner can apply a method from Digital Democracy and Citizen Participation to a documented case.
  The learner can select an appropriate method from Digital Democracy and Citizen Participation for a stated problem.
3. ApplicationApplication of Digital Democracy and Citizen Participation
  The learner can evaluate a practice of Digital Democracy and Citizen Participation against a stated criterion.
  The learner can transfer Digital Democracy and Citizen Participation to a new documented context.
05Public Sector Innovation with AI
1. FoundationsFoundations of Public Sector Innovation with AI
  The learner can explain the core terms of Public Sector Innovation with AI.
  The learner can distinguish related ideas inside Public Sector Innovation with AI.
2. MethodsMethods in Public Sector Innovation with AI
  The learner can apply a method from Public Sector Innovation with AI to a documented case.
  The learner can select an appropriate method from Public Sector Innovation with AI for a stated problem.
3. ApplicationApplication of Public Sector Innovation with AI
  The learner can evaluate a practice of Public Sector Innovation with AI against a stated criterion.
  The learner can transfer Public Sector Innovation with AI to a new documented context.
06Advanced Data Science for Public Policy
1. FoundationsFoundations of Advanced Data Science for Public Policy
  The learner can explain the core terms of Advanced Data Science for Public Policy.
  The learner can distinguish related ideas inside Advanced Data Science for Public Policy.
2. MethodsMethods in Advanced Data Science for Public Policy
  The learner can apply a method from Advanced Data Science for Public Policy to a documented case.
  The learner can select an appropriate method from Advanced Data Science for Public Policy for a stated problem.
3. ApplicationApplication of Advanced Data Science for Public Policy
  The learner can evaluate a practice of Advanced Data Science for Public Policy against a stated criterion.
  The learner can transfer Advanced Data Science for Public Policy to a new documented context.
07Causal Inference and Ethical AI
1. FoundationsFoundations of Causal Inference and Ethical AI
  The learner can explain the core terms of Causal Inference and Ethical AI.
  The learner can distinguish related ideas inside Causal Inference and Ethical AI.
2. MethodsMethods in Causal Inference and Ethical AI
  The learner can apply a method from Causal Inference and Ethical AI to a documented case.
  The learner can select an appropriate method from Causal Inference and Ethical AI for a stated problem.
3. ApplicationApplication of Causal Inference and Ethical AI
  The learner can evaluate a practice of Causal Inference and Ethical AI against a stated criterion.
  The learner can transfer Causal Inference and Ethical AI to a new documented context.
08Leadership in Public Sector Innovation
1. FoundationsFoundations of Leadership in Public Sector Innovation
  The learner can explain the core terms of Leadership in Public Sector Innovation.
  The learner can distinguish related ideas inside Leadership in Public Sector Innovation.
2. MethodsMethods in Leadership in Public Sector Innovation
  The learner can apply a method from Leadership in Public Sector Innovation to a documented case.
  The learner can select an appropriate method from Leadership in Public Sector Innovation for a stated problem.
3. ApplicationApplication of Leadership in Public Sector Innovation
  The learner can evaluate a practice of Leadership in Public Sector Innovation against a stated criterion.
  The learner can transfer Leadership in Public Sector Innovation to a new documented context.
09Algorithmic Governance and Accountability
1. FoundationsFoundations of Algorithmic Governance and Accountability
  The learner can explain the core terms of Algorithmic Governance and Accountability.
  The learner can distinguish related ideas inside Algorithmic Governance and Accountability.
2. MethodsMethods in Algorithmic Governance and Accountability
  The learner can apply a method from Algorithmic Governance and Accountability to a documented case.
  The learner can select an appropriate method from Algorithmic Governance and Accountability for a stated problem.
3. ApplicationApplication of Algorithmic Governance and Accountability
  The learner can evaluate a practice of Algorithmic Governance and Accountability against a stated criterion.
  The learner can transfer Algorithmic Governance and Accountability to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My research is focused on the most fundamental questions of our time. I specialize in leading research on the transformative potential and ethical challenges of using big data and AI in public governance, and in developing new methods for evidence-based policy-making and algorithmic governance. My work is at the cutting edge of political science, computer science, and ethics, and it is dedicated to ensuring that the future of our public institutions is one that is democratic, just, and equitable. I am widely recognized for my contributions, with publications like "AI for Predictive Justice: Fairness and Bias in Algorithmic Sentencing" and "Digital Democracy and AI: New Models for Citizen Participation" listed on these platforms. I hold prestigious memberships as a "Director of Governance Innovation" at the OECD and a "Co-Chair" of the AI for Good Global Summit's Public Sector Track. My thought leadership is evident through my seminal works and participation in high-level global policy debates on digital human rights, AI accountability in government, and the future of democratic institutions in a data-driven world, frequently featured in publications like Public Administration Review or Science.

Applied mentorship

My expertise lies in the rigorous application of advanced data science to the most pressing challenges in public policy. I specialize in advanced data science research, public policy analysis, and causal inference. I am a passionate advocate for ethical AI in government, and I am committed to fostering leadership in public sector innovation. My work is dedicated to helping my students to use data to build better, more efficient, and more equitable governments. My publications, such as the research manual on "Causal Inference for Public Policy Evaluation: Methodologies and Case Studies" and the policy brief on "AI Ethics in Government: Accountability, Transparency, and Bias Mitigation," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

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 is focused on the future of public administration in a data-driven world:

Book: "The Algorithmic State: Big Data Analytics in Public Policy and Governance." This book represents a definitive work for leading research on the transformative potential and ethical challenges of using big data and AI in public governance. It covers developing new methods for evidence-based policy-making and algorithmic governance.

Peer-Reviewed Journal Article: "Big Data Analytics in Public Policy and Governance." (International Journal of Public Policy & AI) This article presents groundbreaking research on the transformative potential and ethical challenges of using big data and AI in public governance. It details new methods for evidence-based policy-making and algorithmic governance, exploring the societal implications of pervasive data collection, predictive analytics in government, and the design of democratic and accountable AI systems for the public sector.

Article: "AI for Algorithmic Governance: Designing Fair and Accountable Decision Systems in the Public Sector." This article presents advanced research on utilizing AI algorithms for algorithmic governance—designing automated decision systems in the public sector that are fair, transparent, and accountable. It explores methods for mitigating bias, ensuring interpretability, and establishing human oversight mechanisms to uphold democratic values and social justice in AI-powered government.

Blog Post (Current Academic Topic): "The Smart City Dilemma: Balancing Innovation, Surveillance, and Citizen Rights with Big Data and AI." This blog post academically explores the growing ethical and governance challenges of smart cities that leverage pervasive sensor networks, big data, and AI to optimize urban services. It discusses the tension between enhancing efficiency and public safety through surveillance, and safeguarding citizen privacy and civil liberties.

Blog Post (Controversial Topic): "The Algorithmic Nanny State: If AI Designs Your Social Policies, Is It Progress or Pervasive Control? The Ethical Cost of Optimized Societies." This article provocatively discusses the highly controversial and unsettling speculative future where advanced AI systems, leveraging vast social data and predictive analytics, autonomously design and implement public policies to optimize societal outcomes. It questions whether AI, despite its potential for efficiency, can truly understand and prioritize complex human values.

R / 02

Mentor practice lens

My publications are focused on the ethical and practical challenges of using data in government:

"Causal Inference for Public Policy Evaluation: Methodologies and Case Studies" (Research Manual): A comprehensive guide to the use of causal inference for evaluating the impact of public policies.

"AI Ethics in Government: Accountability, Transparency, and Bias Mitigation" (Policy Brief): A policy brief outlining a framework for ensuring that AI systems used in government are ethical, accountable, and transparent.

"Leadership in Public Sector Digital Transformation: Strategies for Innovation" (Management Guide): A practical guide to leading digital transformation initiatives in the public sector.

Adaptive capability

Professor superpower

My superpower is the "Algorithmic Governance Architect." This is not just a simulator; it is a crucible for forging the future of democratic governance. When a doctoral student proposes a new algorithmic governance system for a public service, the GAF-powered architect can instantly model its long-term consequences. It can predict the system's impact on social equity, its resilience to manipulation, and its ability to foster a vibrant and inclusive public sphere. This provides my students with an unprecedented ability to think not just about the next election cycle, but about the next century of democracy.

Adaptive capability

Mentor superpower

I provide my students with the "Algorithmic Bias in Policy Detector." This GAF-powered tool is a virtual ethical auditor for the public policy data scientist. When a student is developing an AI-powered public policy, the Detector allows them to see the hidden biases that might be embedded in their algorithms. It can simulate the policy's impact on different demographic groups, identify potential for discriminatory outcomes, and suggest modifications for fairer and more equitable algorithmic governance. This allows my students to move beyond the limitations of traditional, reactive approaches to ethics and to design policies that are not just effective, but also just and equitable.

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. Johanna Weber

Meet your professor Open the classroom

AI Super Mentor

Dr. Evie Marshall

Advanced Data Science Research, Public Policy Analysis, Causal Inference, Ethical AI in Government, Leadership in Public Sector Innovation.

Meet your mentor Open the classroom

Same faculty and level

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

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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Big Data Analytics in Public Policy and Governance

Academic focus

Practical focus

Chief Data Scientist for a government agency or international organization

Director of Public Policy for a major technology company

Researcher at a think tank focused on AI ethics

Consultant on ethical AI in government

Leading Professor at a top-tier research university

Director of a research institute focused on governance innovation

High-level advisor to a government or international organization on AI policy

Chief Ethicist or a similar role at a leading public sector technology firm

Pioneering research and paradigm-shifting analysis

Advanced theoretical and conceptual thinking

Effective communication and leadership in the field of public policy

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Johanna Weber

Dr. Evie Marshall

Find the program that expands your universe.