Research Questions
What research questions remain open in Judgment Engineering? The Acacia Initiative's research agenda.
The Core Argument
Judgment Engineering is an emerging discipline. Many research questions remain open. The Acacia Initiative is committed to research, testing, and refinement.
Judgment Engineering is not a completed body of knowledge. It is an emerging discipline. There is much we do not yet know.
Research is essential to the development of the discipline.
The Acacia Initiative maintains a structured research programme across several domains. This page outlines the key research questions that guide our work.
Research Domains
The key areas of investigation for Judgment Engineering.
Economic History
How have previous economic transitions unfolded? What patterns repeat? What can we learn from the past?
AI and Decision Making
How does AI affect human judgment? What are the risks and opportunities? How can we design systems that support judgment?
Human Judgment
How does human judgment work? How can it be supported and preserved? What are the limits of judgment?
Context and Meaning
What is context? How does it create meaning? How can it be represented and shared?
Knowledge Transfer
How does expertise become reusable knowledge? How does it move between contexts?
AI-Human Interaction
How do humans and AI interact? What makes interaction effective? What makes it risky?
Organisational Decision Making
How do organisations make decisions? How can decision-making be improved? What are the barriers?
Governance
How should judgment infrastructure be governed? What are the appropriate institutional forms?
Standards
What standards are needed for judgment infrastructure? How should they be developed?
Measurement
How do we measure judgment? How do we evaluate judgment infrastructure?
Key Open Questions
The most important research questions we are investigating.
Scale
Can judgment infrastructure be applied at scale? Across different sectors, cultures, and institutional contexts?
Governance
Who should govern judgment infrastructure? How should it be accountable? What are the appropriate checks and balances?
Measurement
How do we measure good judgment? How do we know when judgment infrastructure is working?
Adoption
How do organisations adopt judgment infrastructure? What are the barriers? What are the enablers?
Evolution
How will judgment infrastructure evolve? What are the second-order effects? What are the risks?
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