Ideometrics: The Science of Generating, Evaluating and Prioritising Ideas
Igor Rudan, Aziz Sheikh

TL;DR
This paper proposes Ideometrics, a new scientific field that systematically studies how ideas are generated, evaluated, and prioritized, integrating diverse methodologies across disciplines into a unified framework.
Contribution
It is the first comprehensive synthesis of methodologies for idea generation, evaluation, and prioritization, unifying them under a common scientific framework.
Findings
Identifies over 70 methodologies across disciplines.
Highlights structural similarities among different methods.
Emphasizes the increasing role of AI and quantitative approaches.
Abstract
This paper introduces and outlines a new integrative field, Ideometrics. It is the systematic science of generating, evaluating, and prioritising ideas, based on the proposed sense of ideas and assigning value to information by the brain. Drawing on the structure based on the three fundamental aims, our work maps out the landscape of more than 70 methodologies that were applied to address those three aims across time, disciplines, and epistemic paradigms. The part on generating ideas synthesises classical creativity techniques, participatory approaches and computational innovations. The part on evaluating ideas explores the wide ranging methods developed to this end. The part on prioritising ideas assesses different prioritisation techniques. A central argument of this paper is that although these methods arose separately and independently, most often isolated by disciplinary…
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Taxonomy
TopicsInnovation, Sustainability, Human-Machine Systems · Embodied and Extended Cognition · Creativity in Education and Neuroscience
