Leadership & Governance Track
Leadership & Governance Track
Dealine: 2025-11-25
Course Description
Key Program Information
|
Category |
Details |
|
Eligibility |
Ministry Nominees, Political
Leaders, Policy Fellows, or professionals in leadership roles |
|
Prerequisites |
No prior coding or AI experience
required; basic familiarity with digital tools preferred |
|
Course Duration |
3 Months (12 Weeks, 24 Classes, 2
Classes per Week) |
|
Class Duration |
90 minutes per class |
|
Delivery Mode |
Online / Offline (depending on
availability) |
|
Tools & Software |
Python, Power BI / Tableau, AI
dashboards, Social Media Analytics Tools, Excel / Google Sheets |
|
Learning Outcomes |
1. Develop AI literacy for
governance and leadership 2. Analyze political, social, and public data to
inform decisions 3. Design ethical, data-driven policy and campaign
strategies 4. Apply AI tools for crisis management and public engagement 5.
Build a portfolio of 6 practical projects |
|
Project Highlights |
Smart Nation Case Study, Voter
Sentiment Heatmap, Public Awareness Campaign, AI Ethics Policy Memo, Crisis
Management Dashboard, Capstone Governance Model |
|
Support |
Mentorship and step-by-step
guidance for all projects |
|
Certification |
Certificate of Completion +
Capstone Showcase Recognition |
Module 1: AI & Digital Governance
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 1 |
Class 1 |
Introduction to AI in Governance |
Understand AI applications in
government |
Discussion: “AI transforming
public services” |
|
Class 2 |
Case Study: Smart Nation
Strategies |
Learn global AI governance models |
Analyze Singapore Smart Nation
initiative |
|
|
Week 2 |
Class 3 |
Digital Transformation &
Policy |
Explore how AI supports
decision-making |
Map key areas in government that
benefit from AI |
|
Class 4 |
AI Tools for Government |
Overview of AI-driven tools for
data collection and policy insights |
Hands-on demo with government
dashboards |
|
|
Mini-Project |
— |
Case Study Analysis |
Apply AI concepts to governance |
Project 1: “Smart Nation Strategy
Analysis” |
Module 2: Political Data Analytics
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 3 |
Class 5 |
Voter Demographics Analysis |
Learn to analyze population data |
Explore census and voter datasets |
|
Class 6 |
Public Sentiment Analysis |
Understand sentiment analysis in
politics |
Identify positive/negative
sentiment trends |
|
|
Week 4 |
Class 7 |
Data Visualization for Policy |
Learn to represent voter data
visually |
Build graphs and charts using
Python/BI tools |
|
Class 8 |
Heatmap Creation & Insights |
Create actionable insights from
data |
Build a voter sentiment heatmap |
|
|
Mini-Project |
— |
Political Analytics Project |
Apply data analysis and
visualization |
Project 2: “Voter Sentiment
Heatmap” |
Module 3: Social Media & Public Perception
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 5 |
Class 9 |
Social Media Algorithms |
Understand content amplification
and influence |
Map how information spreads online |
|
Class 10 |
Identifying Misinformation |
Learn methods to counter fake news |
Case examples of misinformation
campaigns |
|
|
Week 6 |
Class 11 |
Campaign Strategy Design |
Create data-driven public
campaigns |
Draft social media strategy for a
policy or awareness initiative |
|
Class 12 |
Engagement Metrics & Reporting |
Track public response and impact |
Prepare a social media engagement
report |
|
|
Mini-Project |
— |
Public Awareness Campaign |
Apply social media and analytics
skills |
Project 3: “Data-Driven Public
Campaign Plan” |
Module 4: Ethical AI & Data Privacy
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 7 |
Class 13 |
Digital Ethics in Governance |
Understand principles of ethical
AI and accountability |
Discussion on fairness,
transparency, and privacy |
|
Class 14 |
AI & Citizen Rights |
Explore privacy, consent, and data
protection |
Review GDPR/AI policy examples |
|
|
Week 8 |
Class 15 |
Bias in AI Decision-Making |
Identify risks of biased AI |
Hands-on analysis of biased data
scenarios |
|
Class 16 |
Policy Memo Writing |
Learn to write concise, actionable
policy documents |
Draft policy memo on AI ethics |
|
|
Mini-Project |
— |
Ethics & Privacy Project |
Apply ethical reasoning |
Project 4: “AI Ethics Policy Memo” |
Module 5: Crisis Management & AI
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 9 |
Class 17 |
Introduction to Crisis Management |
Understand role of data in public
crises |
Case studies on natural disasters,
health crises |
|
Class 18 |
AI Tools for Early Warning |
Learn predictive and monitoring AI
tools |
Explore dashboards for real-time
alerts |
|
|
Week 10 |
Class 19 |
Risk Assessment & Decision
Support |
Apply analytics to crisis response |
Identify KPIs and triggers for
action |
|
Class 20 |
Crisis Dashboard Development |
Hands-on: develop dashboard
prototype |
Build AI-driven Early Warning
Dashboard |
|
|
Mini-Project |
— |
Crisis Management Simulation |
Integrate learning from data &
AI |
Project 5: “AI Early Warning
Dashboard” |
Module 6: Capstone Project
|
Week |
Class |
Topic /
Activity |
Learning
Objective |
Outcome /
Project Milestone |
|
Week 11 |
Class 21 |
Capstone Brainstorming |
Identify governance or policy
challenge |
Brainstorm AI-driven solutions for
leadership / campaigns |
|
Class 22 |
Prototype & Development |
Combine AI, data, and analytics
for public governance |
Build campaign dashboard or
governance model prototype |
|
|
Week 12 |
Class 23 |
Testing & Presentation Skills |
Refine solution and prepare for
presentation |
Prepare slides, visualizations,
and demo |
|
Class 24 |
Final Capstone Showcase |
Present integrated solution |
Project 6: “AI-Driven Campaign /
Governance Model” |
