PG-F04 — Evidence, Data, and Public Decision-Making

About Course

Course code: PG-F04 | Level: Level 1 | Group: A

Evidence, Data, and Public Decision-Making — School of Public Policy & Governance, KBA13 Academy.

Non-degree professional-learning course. Instructor: INSTRUCTOR PENDING OWNER CONFIRMATION. Price: Owner Approval Required. Enrollment disabled until substantive content passes academic, legal-source, evidence, and technical review.

All legal, regulatory, budgetary, and institutional references: VERIFICATION REQUIRED (dated and source-verified before publication). Responsible-AI and non-partisan statements apply.

Content Status: DRAFT — GROUP A (Launch Priority). Module architecture + Tutor shell to be built.

Course Content

Module 0 — Course Orientation and Evidence Responsibility
Orientation and the ethics of evidence.

Lesson 0.1 — Orientation: Evidence Responsibility

Module 1 — What Counts as Evidence in Public Policy
Types and roles of evidence.

Module 2 — Data Quality, Sources, and Verification
Assessing and verifying data.

Module 3 — Causality, Correlation, and Public Claims
Reasoning about cause and effect.

Module 4 — Uncertainty, Forecasts, and Competing Evidence
Handling uncertainty honestly.

Module 5 — Data Visualization and Evidence Communication
Communicating evidence clearly and honestly.

Module 6 — Responsible AI-Assisted Evidence Analysis
Using AI responsibly with evidence.

Module 7 — Final Applied Project
Develop an evidence dossier for a selected public problem.

Student Ratings & Reviews

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PG-F04 — Evidence, Data, and Public Decision-Making

About Course

Course Content

Module 0 — Course Orientation and Evidence Responsibility
Orientation and the ethics of evidence.

Lesson 0.1 — Orientation: Evidence Responsibility

Module 1 — What Counts as Evidence in Public Policy
Types and roles of evidence.

Lesson 1.1 — Types of Evidence and Their Uses

Module 2 — Data Quality, Sources, and Verification
Assessing and verifying data.

Lesson 2.1 — Assessing Data Quality and Verifying Sources

Module 3 — Causality, Correlation, and Public Claims
Reasoning about cause and effect.

Evidence, Sources and Critical Appraisal

Module 4 — Uncertainty, Forecasts, and Competing Evidence
Handling uncertainty honestly.

Analysis and Judgement

Module 5 — Data Visualization and Evidence Communication
Communicating evidence clearly and honestly.

Applied Case Analysis

Module 6 — Responsible AI-Assisted Evidence Analysis
Using AI responsibly with evidence.

Assessment Preparation

Module 7 — Final Applied Project
Develop an evidence dossier for a selected public problem.

Lesson 7.1 — Final Project Brief: Evidence Dossier

About Course

Course Content

Module 0 — Course Orientation and Evidence Responsibility Orientation and the ethics of evidence.

Lesson 0.1 — Orientation: Evidence Responsibility

Module 1 — What Counts as Evidence in Public Policy Types and roles of evidence.

Lesson 1.1 — Types of Evidence and Their Uses

Module 2 — Data Quality, Sources, and Verification Assessing and verifying data.

Lesson 2.1 — Assessing Data Quality and Verifying Sources

Module 3 — Causality, Correlation, and Public Claims Reasoning about cause and effect.

Evidence, Sources and Critical Appraisal

Module 4 — Uncertainty, Forecasts, and Competing Evidence Handling uncertainty honestly.

Analysis and Judgement

Module 5 — Data Visualization and Evidence Communication Communicating evidence clearly and honestly.

Applied Case Analysis

Module 6 — Responsible AI-Assisted Evidence Analysis Using AI responsibly with evidence.

Assessment Preparation

Module 7 — Final Applied Project Develop an evidence dossier for a selected public problem.

Lesson 7.1 — Final Project Brief: Evidence Dossier

Student Ratings & Reviews

Module 0 — Course Orientation and Evidence Responsibility
Orientation and the ethics of evidence.

Module 1 — What Counts as Evidence in Public Policy
Types and roles of evidence.

Module 2 — Data Quality, Sources, and Verification
Assessing and verifying data.

Module 3 — Causality, Correlation, and Public Claims
Reasoning about cause and effect.

Module 4 — Uncertainty, Forecasts, and Competing Evidence
Handling uncertainty honestly.

Module 5 — Data Visualization and Evidence Communication
Communicating evidence clearly and honestly.

Module 6 — Responsible AI-Assisted Evidence Analysis
Using AI responsibly with evidence.

Module 7 — Final Applied Project
Develop an evidence dossier for a selected public problem.