Opinion: Spaces and Scapes — Thoughts on Urban Planning
Opinion - Aaron Maniam
Whenever I hear the phrase "urban planning", three experiences come to mind.
Scientific Thinking and Public Policy: Review of Clark Glymour's Galilieo in Pittsburgh
Review - Aaron Maniam
A leading philosopher and statistician applies discipline and wit to the most pressing issues of our time.
Five Tips for Leadership Transitions
Pro Tip - Aaron Maniam
A smooth transition is vital to a leader’s personal effectiveness and an organisation’s performance. Here’s how to make them work.
From Futures "Thinking" to Futures "Doing"
Review - Aaron Maniam
Review of Kahane's "Transformative Scenario Planning"
From Scarcity to Generativity: New Approaches to Governing Resources
Opinion - Aaron Maniam
Data, knowledge and connections can increase rather than decrease in value with use: but we need a new public language to make the most of them.
Opinion: Preparing Public Officers for New Modes of Governance
Opinion - Aaron Maniam
Public service training and development should evolve in tandem with the dynamic, relational modes of governance that are emerging.
What Digital Success Looks Like: Measuring & Evaluating Government Digitalisation
Opinion - Aaron Maniam
Seven indicators could offer a more comprehensive and useful overview of how well the public sector is doing in going digital.
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Metaphors & Mental Models: Updating Our Language for Public Sector Learning
Article - Aaron Maniam
We need to rethink what it means to learn and be learners, in a complex, dynamic and fluid world where many answers are not predetermined, but must be cultivated and co-evolved.
Editorial Issue 21
Editorial - Vernie Oliveiro, Aaron Maniam
With Singapore’s ambition to be a Smart Nation, what does it really mean to be “smart” these days? This issue explores the apparent tensions and trade-offs that both underpin and animate Singapore’s Smart Nation efforts.
Embracing Complexity in Healthcare
Opinion - Aaron Maniam, Clive Tan
In a complex environment where centralised planning has limited effectiveness, simple rules may allow the system to evolve organically towards shared goals.