Climbing Knowledge Hills: Systemic Thinking and the Topography of Lucky Discovery

This conceptual paper explores the role of systemic thinking and luck in scientific collaboration. Innovative ideas often emerge from interdisciplinarity, yet increasing specialization in science may have a negative effect on the knowledge transfer across different domains. We propose that familiarity with complex systems theory —- a universal conceptual framework -- may improve the likelihood of generating novel interdisciplinary insights and reduce knowledge friction. To illustrate this mechanism, we apply the concepts of energy landscapes and critical transitions. Selected principles of complex systems are presented to illustrate their cross-domain applicability. We conclude that adopting a systemic perspective can optimize the knowledge network between otherwise cognitively distant scientific communities, thereby increasing the probability of serendipitous and innovative knowledge combinations.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Chaos, Complexity, and Education
Type
article
Field-Weighted Citation Impact
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article

Climbing Knowledge Hills: Systemic Thinking and the Topography of Lucky Discovery

Josef Spurný
ScholarSpace (University of Hawaii at Manoa)
Chaos, Complexity, and Education
article

Climbing Knowledge Hills: Systemic Thinking and the Topography of Lucky Discovery

Josef Spurný
article en

Abstract

This conceptual paper explores the role of systemic thinking and luck in scientific collaboration. Innovative ideas often emerge from interdisciplinarity, yet increasing specialization in science may have a negative effect on the knowledge transfer across different domains. We propose that familiarity with complex systems theory —- a universal conceptual framework -- may improve the likelihood of generating novel interdisciplinary insights and reduce knowledge friction. To illustrate this mechanism, we apply the concepts of energy landscapes and critical transitions. Selected principles of complex systems are presented to illustrate their cross-domain applicability. We conclude that adopting a systemic perspective can optimize the knowledge network between otherwise cognitively distant scientific communities, thereby increasing the probability of serendipitous and innovative knowledge combinations.

ScholarSpace (University of Hawaii at Manoa)
Openalex Percentile: Top 27%
Chaos, Complexity, and Education
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