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Allen J. Scott

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Edited by André Torre and Delphine Gallaud

This Handbook is a state-of-the-art analysis of proximity relations, offering insights into its history alongside up-to-date scientific advances and emerging questions. Its broad scope – from industrial and innovation approaches through to society issues of living and working at a distance, territorial development and environmental topics – will ensure an in-depth focus point for researchers in economics as well as geography, organizational studies, planning and sociology.
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John Aldo Lee, Cyril de Bodt, Ludovic Journaux and Lucile Sautot

Dimensionality reduction aims at representing high-dimensional data in a lower-dimensional representation, while preserving their structure (clusters, outliers, manifold). Dimensionality reduction can be used for exploratory data visualization, data compression, or as a preprocessing to some other analysis in order to alleviate the curse of dimensionality. Data structure is usually quantified with indicators, like covariance between variables, or pairwise proximity relationships, like scalar products, distances, similarities, or neighbourhoods. One objective of this chapter is to provide an overview of some classical and more recent methods of dimensionality reduction, to shed some light on them from the perspective of analyzing proximities, and to illustrate them with multivariate data that could be typically encountered in social sciences. Complementary aspects like quality assessment and alternative metrics are briefly developed.

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Edited by André Torre and Delphine Gallaud

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Edited by Juan Montero and Matthias Finger

Providing a coherent and multidisciplinary approach to digitalization, this Modern Guide aims to systematize how the digitalization process affects infrastructure-based industries, including telecommunications, transport, energy, water and postal services.
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Edited by Margherita Pagani and Renaud Champion

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Edited by Margherita Pagani and Renaud Champion

Artificial Intelligence for Sustainable Value Creation provides a detailed and insightful exploration of both the possibilities and the challenges that accompany widespread Artificial Intelligence
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Edited by Margherita Pagani and Renaud Champion

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Margherita Pagani and Renaud Champion

“How can artificial intelligence create value in a sustainable way for my business?” is nowadays more than ever the hot topic that every responsible manager needs to cope with to make sure his/her company stays competitive in a highly technology-driven world. For several years there had been many predictions about how artificial intelligence (AI) would change the way we work and how it would have a profound effect on every area of business. However, most of these speculations are not relying on empirical studies or real-life practice. From a business standpoint, AI is still seen as a very young technology with not enough return on experience. But while most companies are still working on their digital transformation, they all start to realize that their “AI transformation” is no longer a futuristic concept but the next challenge they will have to face.

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Platform Economy Puzzles

A Multidisciplinary Perspective on Gig Work

Edited by Jeroen Meijerink, Giedo Jansen and Victoria Daskalova

Searching for paid tasks via digital labour platforms, such as Uber, Deliveroo and Fiverr, has become a global phenomenon and the regular source of income for millions of people. In the advent of digital labour platforms, this insightful book sheds new light on familiar questions about tensions between competition and cooperation, short-term gains and long-term success, and private benefits and public costs. Drawing on a wealth of knowledge from a range of disciplines, including law, management, psychology, economics, sociology and geography, it pieces together a nuanced picture of the societal challenges posed by the platform economy.