Schouten / Wernaart | Moral Design and Green Technology | Buch | 978-90-04-71167-9 | sack.de

Buch, Englisch, 258 Seiten, Format (B × H): 170 mm x 245 mm, Gewicht: 716 g

Schouten / Wernaart

Moral Design and Green Technology


Erscheinungsjahr 2025
ISBN: 978-90-04-71167-9
Verlag: Brill

Buch, Englisch, 258 Seiten, Format (B × H): 170 mm x 245 mm, Gewicht: 716 g

ISBN: 978-90-04-71167-9
Verlag: Brill


Welcome to the Anthropocene, the era in which humans have put a tangible mark on
our planet. But also the era in which humans and technology have the potential to
shape the necessary transitions towards a sustainable world. Technology and nature
are often considered as two opposing phenomena. However, they are increasingly
intertwined, for better or worse. In this book, we explore how technology and nature
relate to one another in the moral design of new, green technology.

This book is relevant for IT and engineering professionals, business leaders and policy
makers with (green) innovation in their portfolios and students of (applied) science
who are interested in either sustainable and green design of technology or in the application
of technology – with an emphasis on AI and IT – to create a greener, more
sustainable world. The chapters have been written by experts and leading researchers
in an attractive, accessible, and practical writing style. Each chapter offers colourful
examples and challenges the reader to critically think through moral decision-making
and the design of innovations considering our planet’s perspective. This is a conceptual
change in values. Nature should not be considered as a resource: it is the fabric of
life that makes our own existence possible.

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Weitere Infos & Material


List of figures and tables

About the authors (in alphabetical order)

1 Moral design and green technology Bart Wernaart and Gerard Schouten

2 Sustainability struggle: economics, business, and technology

A brief history and future challenges Bart Wernaart

3 Democratizing green technology with the public stack Max Kortlander, Anne-Marie Sweep and Imme Ruarus

4 Behavioural insights for moral design and green technology Jeske Nederstigt

5 The moral programming of XR, and what we can learn from the AI experience Leon Kestert, Nadisha-Marie Aliman and Bart Wernaart

6 Citizen science for nature Simona Orzan and Gerard Schouten

7 The role of technology in human-nature-connectedness

Case studies on citizen participation Derk Jan Stobbelaar and Jetske G. de Boer

8 Food ethics and technology

Towards food innovation with crowdsourced ethics Bart Wernaart, Sonja Floto-Stammen, Marieke van Vliet, Anika Kok and Natalia Naranjo Guevara

9 How natural is our food?

How relevant is that word for the design of future food? Niels Louwaars

10 How to apply green AI in practice?

Moving from FLOPs to CO2 footprint Qin Zhao and Gerard Schouten

11 Lessons learned from developing green software Luís Cruz and Petra Heck

12 A daily data workout!

Being in correspondence for a green data revolution Danielle Arets and Jessie Harms

13 Added value of AI for studying urban plants Barbara Gravendeel and Yannick Woudstra

14 Adding contextual information to object detection models: a wildflower monitoring case Georgiana Manolache and Gerard Schouten

15 ARISE: a Dutch dataspace connecting nature and people Elaine van Ommen Kloeke, W. Daniel Kissling, Julian Evans, Chantal Huijbers, Jacob Kamminga and Gerard Schouten

Index


Bart Wernaart is Professor of Moral Design Strategy and Chair of the Centre of Expertise
Sustainable and Circular Transitions at Fontys University of Applied Sciences, The
Netherlands. He earned his Ph.D. in the field of international human rights law and
has extensive experience in teaching legal subjects in business schools. He is the head
of Research at Fontys Business and Communication.

Gerard Schouten is Professor of AI & data at Fontys University of Applied Sciences
and Chair of the Centre of Expertise AI for Society. He earned his Ph.D. in the field
of cognition and perception, and has extensive experience in applied research and
teaching data- and AI-related topics.



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