Program Overview
The Robust Decision Making Under Deep Uncertainty program from King's College London equips mid-career public sector professionals with the knowledge and skills to make effective decisions in complex and uncertain environments. Through the Robust Decision Making (RDM) framework, participants learn to identify and evaluate robust strategies while understanding their vulnerabilities. The program includes interactive activities, discussion forums, and webinars led by renowned lecturers, preparing participants for leadership roles in public policy and decision making.
Program Outline
Degree Overview:
Title:
Robust Decision Making Under Deep Uncertainty
Type:
Executive Education
Credit Level:
7
Credit Value:
5
Duration:
4 weeks
Overview:
This program caters to mid-career public sector professionals and equip them with the knowledge and skills to make effective decisions in a complex and uncertain environment. It introduces the method of Robust Decision Making (RDM), a framework that helps identify and evaluate robust strategies while understanding their vulnerabilities.
Objectives:
- Understand complexity in policy making and methods for mitigating it.
- Design and conduct RDM analysis.
- Interpret scenario discovery and produce an XLRM framework.
- Critically evaluate the applicability of RDM in various scenarios.
Outline:
Week 1: Introduction to Robust Decision Making
- Foundations of RDM
- Applications of RDM
- Identifying Deep Uncertainty
- Robustness vs. Prediction
- Deep Uncertainty Framework
Week 2: Using RDM to Identify Vulnerabilities
- The RDM methodology
- Defining objectives and constraints
- Identifying uncertainties
- Developing scenarios
- Assessing vulnerabilities
Week 3: Using RDM to Identify Robust Strategies
- Scenario discovery
- XLRM framework
- Evaluating trade-offs
- Identifying robust strategies
- Decision support with RDM
Individual Modules:
Each week features interactive activities, discussion forums, online readings, lectures, and tutorials.
Assessment:
- One written assignment
- Participation in webinars and discussion forums
Teaching:
- Fully online format
- Three 1-hour weekly webinars with a King's lecturer
- Global peer group interaction
- Interactive activities and online resources
Lecturers:
- Dr. Benedict Wilkinson, Senior Research Fellow
- Professor Robert Lempert, Director, Frederick S. Pardee Center for Longer Range Global Policy and the Future Human Condition
- Professor David Groves, Director, RAND Center on Decision Making Under Uncertainty
Careers:
This program prepares participants for leadership roles in public policy and decision making, particularly in environments characterized by uncertainty. It equips them with the ability to:
- Design and implement RDM analysis
- Analyze complex policy problems
- Make informed decisions under uncertainty
- Standard entry requirements include a 2:1 degree and 3 years of relevant work experience.
- Applicants without a 2:1 degree may apply with 5+ years of relevant work experience.
