Synthesis of innovation and obsolescence
Edward D. Lee, Christopher P. Kempes, Manfred D. Laubichler, Marcus J., Hamilton, Jeffrey W. Lockhart, Frank Neffke, Hyejin Youn, Jos\'e Ignacio, Arroyo, Vito D. P. Servedio, Dashun Wang, Jessika Trancik, James Evans, Vicky, Chuqiao Yang, Veronica R. Cappelli, Ernesto Ortega

TL;DR
This paper proposes a unified conceptual and mathematical framework to understand the interconnected dynamics of innovation and obsolescence across social, biological, and technological systems.
Contribution
It introduces a novel interdisciplinary framework that bridges existing fragmented models by emphasizing the duality of innovation and obsolescence.
Findings
Unified mathematical model for innovation and obsolescence
Bridging social, biological, and technological systems
Open challenges for future research
Abstract
Innovation and obsolescence describe the dynamics of ever-churning social and biological systems, from the development of economic markets to scientific and technological progress to biological evolution. They have been widely discussed, but in isolation, leading to fragmented modeling of their dynamics. This poses a problem for connecting and building on what we know about their shared mechanisms. Here we collectively propose a conceptual and mathematical framework to transcend field boundaries and to explore unifying theoretical frameworks and open challenges. We ring an optimistic note for weaving together disparate threads with key ideas from the wide and largely disconnected literature by focusing on the duality of innovation and obsolescence and by proposing a mathematical framework to unify the metaphors between constitutive elements.
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Taxonomy
TopicsEcosystem dynamics and resilience · Innovation Diffusion and Forecasting · Innovation, Sustainability, Human-Machine Systems
