The Science of the New

1. Auflage 2026
ISBN: 978-0-19-879262-8
Verlag: Oxford University Press

Buch, Englisch, 368 Seiten, Format (B × H): 178 mm x 252 mm, Gewicht: 862 g

Much like our everyday moments of novelty, innovations often catalyse subsequent breakthroughs, creating a chain of progress that can be traced across history.

The Science of the New explores the dynamics of novelty and innovation. It originates from the observation that these two interrelated phenomena that shape human experience, from the ordinary encounters we have in daily life to the groundbreaking advancements in science, technology, and society, are two faces of the same medal. In other words, novelties and innovation can be described by the same underlying processes and their emergence obeys the same general statistical laws.

The construction of a solid mathematical framework to treat the phenomenologies related to the experience of the new represents a formidable challenge and a necessary one if we want to understand the world around us and be able to make predictions in an ever-changing environment and society.

This book provides a minimal toolkit to face this problem. Organised into three distinct parts, it begins by outlining the fundamental theoretical tools necessary for analysing how novelties and innovations emerge. It then delves into classical and contemporary models that explain the processes behind innovation, illustrating the deep relationship between several ideas that took birth in different fields and influenced one another. The final section provides empirical case studies, applying the discussed frameworks to real-world systems and showing how mathematical and computational methods can help us understand innovation in various contexts.

Autoren/Hrsg.

Loreto, Vittorio

Servedio, Vito D. P.

Tria, Francesca

Inhaltsverzeichnis

- Part I. Quantifying what is new

- 1: Entropy, complexity and surprise

- 2: The statistics of the new

- 3: Temporal patterns of innovations: triggering effects, trends and correlations phenomena

- 4: Mechanisms of innovation from biological to cultural evolution

- Part II. Modelling the dynamics of novelties

- 5: Yule-Simon-like models

- 6: Pólya's urns and Laplace's rule of succession

- 7: Early urn schemes with innovation: the Hoppe's model and the Dirichlet process

- 8: Urn schemes with expansion into the adjacent possible

- Part III. Empirial observations

- 9: Human and social systems

- 10: Socio-technological systems

- 11: Biological systems

- Epilogue: Helga Nowotny

- Part IV. Postface

Über Autor(innen)

Vittorio Loreto is a Full Professor at Sapienza University of Rome and a member of the Complexity Science Hub in Vienna. From 2017 to 2023, he directed Sony CSL Paris, leading the Innovation, Creativity, and AI group, and in 2021, he founded Sony CSL - Rome, focusing on sustainability and augmented creativity. He is a physicist specializing in complex systems, innovation dynamics, and AI. His research spans statistical physics, network science, and social dynamics, exploring how ideas and behaviours emerge and spread. A prolific author with over 200 publications, he has led international projects and spoken at TED and major conferences.

Vito D. P. Servedio is a Senior Researcher at the Complexity Science Hub, Vienna, specializing in human dynamics, innovation, and economic complexity. With a background in physics, he has contributed to fields ranging from electronic material properties to agent-based modeling of social systems. His interdisciplinary work spans applications in railway systems, blockchain technology, and Science of Science.

Francesca Tria is an Associate Professor at the Physics Department of Sapienza University of Rome and an external faculty member of the Complexity Science Hub in Vienna. Her research focuses on statistical physics and complex systems, with interdisciplinary applications in social dynamics, biological evolution, innovation dynamics, and AI.