Technology, Economics & Public Policy:

Data‑Driven Governance

1. Training Introduction

Data-driven governance is transforming public sector decision-making by combining technology, economic analysis, and public policy frameworks. Governments and institutions can leverage big data, analytics, and digital tools to optimize policy design, resource allocation, and service delivery.

This training equips participants with knowledge and practical skills to integrate technology and economic principles into public policy-making, enabling more informed, efficient, and accountable governance.

 

2. Training Objective

The programme aims to enable participants to:

• Understand the intersections between technology, economics, and public policy.
• Apply data-driven techniques to policy analysis, planning, and evaluation.
• Enhance governance efficiency, transparency, and evidence-based decision-making.
• Use digital tools and analytics to optimize public resource allocation.
• Develop actionable strategies for implementing data-driven governance initiatives.

 

3. Targeted Group

This training is designed for:

• Policymakers, government officials, and public sector managers
• PPP unit staff and project managers in infrastructure and service delivery
• Economists, data analysts, and policy researchers
• IT specialists, digital transformation officers, and AI practitioners
• Legal and compliance advisors in public sector governance
• Civil society representatives and stakeholders in public policy
• Academics, researchers, and postgraduate students in governance, economics, or technology

 

4. Course Duration

8 Days, adaptable for:

• Intensive Workshop: 5 consecutive days
• Blended or Online Format: Flexible module pacing with exercises and simulations

 

5. Training Methodology

The programme employs a practical, interactive, and applied approach:

• Expert-led lectures and thematic presentations
• Case studies of data-driven governance applications
• Hands-on exercises with analytics, dashboards, and policy evaluation tools
• Scenario-based simulations for decision-making and resource allocation
• Group problem-solving and policy design exercises
• Continuous assessment through quizzes, exercises, and a capstone project

 

6. Course Content

Module 1: Introduction to Data‑Driven Governance

• Concepts and frameworks for technology-enabled governance
• Role of data analytics in public sector decision-making
• Global best practices and case studies

Module 2: Economics in Public Policy Analysis

• Economic principles for policy formulation
• Cost-benefit analysis, efficiency, and value-for-money
• Incorporating economic indicators into decision-making

Module 3: Digital Technologies and Governance Tools

• Big data, AI, IoT, and analytics platforms in public administration
• Digital dashboards for policy monitoring and performance measurement
• Integration of technology into governance workflows

Module 4: Policy Design and Evaluation

• Evidence-based policy design using data analytics
• Scenario modeling, forecasting, and simulation
• Performance metrics and KPIs for policy outcomes

Module 5: Financial and Resource Management

• Data-driven budgeting and resource allocation
• Economic and financial modeling for public sector projects
• Monitoring expenditures, outcomes, and accountability

Module 6: Stakeholder Engagement and Decision-Making

• Participatory governance and data transparency
• Leveraging technology for stakeholder consultation
• Communication strategies for policy adoption and acceptance

Module 7: Risk Management and Ethical Considerations

• Identifying, analyzing, and mitigating risks using data
• Ethical, legal, and social implications of data-driven governance
• Privacy, security, and compliance frameworks

Module 8: Capstone Project – Implementing Data‑Driven Governance

• Applying technology and economic analysis to a real-world policy challenge
• Designing dashboards, evaluation metrics, and resource allocation plans
• Presenting actionable, evidence-based policy recommendations

 

7. Expected Learning Outcomes

Participants completing the programme will be able to:

• Apply data analytics and digital tools to public policy and governance.
• Integrate economic principles into policy planning, evaluation, and decision-making.
• Design evidence-based policies that optimize resource allocation and outcomes.
• Enhance transparency, accountability, and stakeholder engagement in governance.
• Identify and mitigate risks in data-driven public sector initiatives.
• Develop actionable strategies for implementing technology-enabled governance solutions.

 

8. Certificate of Completion

Participants who successfully complete all 8 modules, exercises, and the capstone project will receive:

Certificate of Completion

Technology, Economics & Public Policy: Data‑Driven Governance

Issued by FOTADE Training, Research and Resource Development Centre

This certificate confirms that the participant has acquired specialist knowledge and practical skills to implement data-driven governance frameworks combining technology, economic analysis, and public policy insights.