The 2020 Yearbook of the Digital Ethics Lab

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Author :
Publisher : Springer Nature
ISBN 13 : 3030800830
Total Pages : 230 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis The 2020 Yearbook of the Digital Ethics Lab by : Josh Cowls

Download or read book The 2020 Yearbook of the Digital Ethics Lab written by Josh Cowls and published by Springer Nature. This book was released on 2021-10-30 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field.

The 2018 Yearbook of the Digital Ethics Lab

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Author :
Publisher : Springer Nature
ISBN 13 : 3030171523
Total Pages : 224 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The 2018 Yearbook of the Digital Ethics Lab by : Carl Öhman

Download or read book The 2018 Yearbook of the Digital Ethics Lab written by Carl Öhman and published by Springer Nature. This book was released on 2019-10-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores a wide range of topics in digital ethics. It features 11 chapters that analyze the opportunities and the ethical challenges posed by digital innovation, delineate new approaches to solve them, and offer concrete guidance to harness the potential for good of digital technologies. The contributors are all members of the Digital Ethics Lab (the DELab), a research environment that draws on a wide range of academic traditions. The chapters highlight the inherently multidisciplinary nature of the subject, which cannot be separated from the epistemological foundations of the technologies themselves or the political implications of the requisite reforms. Coverage illustrates the importance of expert knowledge in the project of designing new reforms and political systems for the digital age. The contributions also show how this task requires a deep self-understanding of who we are as individuals and as a species. The questions raised here have ancient -- perhaps even timeless -- roots. The phenomena they address may be new. But, the contributors examine the fundamental concepts that undergird them: good and evil, justice and truth. Indeed, every epoch has its great challenges. The role of philosophy must be to redefine the meaning of these concepts in light of the particular challenges it faces. This is true also for the digital age. This book takes an important step towards redefining and re-implementing fundamental ethical concepts to this new era.

The 2019 Yearbook of the Digital Ethics Lab

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Author :
Publisher : Springer
ISBN 13 : 9783030291471
Total Pages : 144 pages
Book Rating : 4.2/5 (914 download)

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Book Synopsis The 2019 Yearbook of the Digital Ethics Lab by : Christopher Burr

Download or read book The 2019 Yearbook of the Digital Ethics Lab written by Christopher Burr and published by Springer. This book was released on 2021-08-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The yearbook presents research on the following topics: conceptual metaphor theory, cybersecurity governance, cyber conflicts, anthropomorphism in AI, digital technologies for mental healthcare, data ethics in the asylum process, AI’s legitimacy and democratic deficit, digital afterlife industry, automatic prayer bots, foresight analysis and the future of AI. This volume appeals to students, researchers and professionals.

The 2021 Yearbook of the Digital Ethics Lab

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Publisher :
ISBN 13 : 9783031098475
Total Pages : 0 pages
Book Rating : 4.0/5 (984 download)

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Book Synopsis The 2021 Yearbook of the Digital Ethics Lab by : Jakob Mökander

Download or read book The 2021 Yearbook of the Digital Ethics Lab written by Jakob Mökander and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annual edited volume explores a wide range of topics in digital ethics and governance. Included are chapters that: analyze the opportunities and ethical challenges posed by digital innovation; delineate new approaches to solve them; and offer concrete guidance on how to govern emerging technologies. The contributors are all members of the Digital Ethics Lab (the DELab) at the Oxford Internet Institute, a research environment that draws on a wide range of academic traditions. Collectively, the chapters of this book illustrate how the field of digital ethics - whether understood as an academic discipline or an area of practice - is undergoing a process of maturation. Most importantly, the focus of the discourse concerning how to design and use digital technologies is increasingly shifting from 'soft ethics' to 'hard governance'. Then, there is the trend in the ongoing shift from 'what' to 'how', whereby abstract or ad-hoc approaches to AI governance are giving way to more concrete and systematic solutions. The maturation of the field of digital ethics has, as this book attempts to show, been both accelerated and illustrated by a series of recent events. This text thereby takes an important step towards defining and implementing feasible and effective approaches to digital governance. It appeals to students, researchers and professionals in the field.

The 2021 Yearbook of the Digital Ethics Lab

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Author :
Publisher : Springer Nature
ISBN 13 : 3031098463
Total Pages : 290 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The 2021 Yearbook of the Digital Ethics Lab by : Jakob Mökander

Download or read book The 2021 Yearbook of the Digital Ethics Lab written by Jakob Mökander and published by Springer Nature. This book was released on 2022-11-07 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annual edited volume explores a wide range of topics in digital ethics and governance. Included are chapters that: analyze the opportunities and ethical challenges posed by digital innovation; delineate new approaches to solve them; and offer concrete guidance on how to govern emerging technologies. The contributors are all members of the Digital Ethics Lab (the DELab) at the Oxford Internet Institute, a research environment that draws on a wide range of academic traditions. Collectively, the chapters of this book illustrate how the field of digital ethics - whether understood as an academic discipline or an area of practice - is undergoing a process of maturation. Most importantly, the focus of the discourse concerning how to design and use digital technologies is increasingly shifting from ‘soft ethics’ to ‘hard governance’. Then, there is the trend in the ongoing shift from ‘what’ to ‘how’, whereby abstract or ad-hoc approaches to AI governance are giving way to more concrete and systematic solutions. The maturation of the field of digital ethics has, as this book attempts to show, been both accelerated and illustrated by a series of recent events. This text thereby takes an important step towards defining and implementing feasible and effective approaches to digital governance. It appeals to students, researchers and professionals in the field.

The 2019 Yearbook of the Digital Ethics Lab

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Author :
Publisher : Springer Nature
ISBN 13 : 3030291456
Total Pages : 144 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis The 2019 Yearbook of the Digital Ethics Lab by : Christopher Burr

Download or read book The 2019 Yearbook of the Digital Ethics Lab written by Christopher Burr and published by Springer Nature. This book was released on 2020-01-28 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The yearbook presents research on the following topics: conceptual metaphor theory, cybersecurity governance, cyber conflicts, anthropomorphism in AI, digital technologies for mental healthcare, data ethics in the asylum process, AI’s legitimacy and democratic deficit, digital afterlife industry, automatic prayer bots, foresight analysis and the future of AI. This volume appeals to students, researchers and professionals.

The 2022 Yearbook of the Digital Governance Research Group

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Author :
Publisher : Springer Nature
ISBN 13 : 3031286782
Total Pages : 170 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis The 2022 Yearbook of the Digital Governance Research Group by : Francesca Mazzi

Download or read book The 2022 Yearbook of the Digital Governance Research Group written by Francesca Mazzi and published by Springer Nature. This book was released on 2023-06-22 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Governance Research Group of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2022 edition of the Yearbook presents research on the following topics: autonomous weapons, cyber weapons, digital sovereignty, smart cities, artificial intelligence for the Sustainable Development Goals, vaccine passports, and sociotechnical pragmatism as an approach to technology. This text appeals to students, researchers, and professionals in the field.

Machine Learning for Business Analytics

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Author :
Publisher : CRC Press
ISBN 13 : 1000615421
Total Pages : 191 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Machine Learning for Business Analytics by : Hemachandran K

Download or read book Machine Learning for Business Analytics written by Hemachandran K and published by CRC Press. This book was released on 2022-07-21 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.

Artificial Intelligence and Machine Learning for Women’s Health Issues

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Author :
Publisher : Elsevier
ISBN 13 : 0443218900
Total Pages : 290 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Artificial Intelligence and Machine Learning for Women’s Health Issues by : Meenu Gupta

Download or read book Artificial Intelligence and Machine Learning for Women’s Health Issues written by Meenu Gupta and published by Elsevier. This book was released on 2024-05-01 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning for Women’s Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women’s health challenges. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning, which enhance the future healthcare system. This book's primary focus is on women’s health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women’s health issues. Provides fundamental concepts and analysis of machine learning algorithms used to aid in the diagnosis of women’s health issues Guides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunities Provides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women’s healthcare

The Afterlife of Data

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Author :
Publisher : University of Chicago Press
ISBN 13 : 0226828239
Total Pages : 208 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Afterlife of Data by : Carl Öhman

Download or read book The Afterlife of Data written by Carl Öhman and published by University of Chicago Press. This book was released on 2024-04-11 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: A short, thought-provoking book about what happens to our online identities after we die. These days, so much of our lives takes place online—but what about our afterlives? Thanks to the digital trails that we leave behind, our identities can now be reconstructed after our death. In fact, AI technology is already enabling us to “interact” with the departed. Sooner than we think, the dead will outnumber the living on Facebook. In this thought-provoking book, Carl Öhman explores the increasingly urgent question of what we should do with all this data and whether our digital afterlives are really our own—and if not, who should have the right to decide what happens to our data. The stakes could hardly be higher. In the next thirty years alone, about two billion people will die. Those of us who remain will inherit the digital remains of an entire generation of humanity—the first digital citizens. Whoever ends up controlling these archives will also effectively control future access to our collective digital past, and this power will have vast political consequences. The fate of our digital remains should be of concern to everyone—past, present, and future. Rising to these challenges, Öhman explains, will require a collective reshaping of our economic and technical systems to reflect more than just the monetary value of digital remains. As we stand before a period of deep civilizational change, The Afterlife of Data will be an essential guide to understanding why and how we as a human race must gain control of our collective digital past—before it is too late.

Deep Learning for Medical Decision Support Systems

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Publisher : Springer Nature
ISBN 13 : 981156325X
Total Pages : 185 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Learning for Medical Decision Support Systems by : Utku Kose

Download or read book Deep Learning for Medical Decision Support Systems written by Utku Kose and published by Springer Nature. This book was released on 2020-06-17 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

ECKM 2020 21st European Conference on Knowledge Management

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Publisher : Academic Conferences International Limited
ISBN 13 : 1912764822
Total Pages : 1058 pages
Book Rating : 4.9/5 (127 download)

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Book Synopsis ECKM 2020 21st European Conference on Knowledge Management by : Professor Alexeis Garcia-Perez

Download or read book ECKM 2020 21st European Conference on Knowledge Management written by Professor Alexeis Garcia-Perez and published by Academic Conferences International Limited. This book was released on 2020-12-02 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analytics in System Engineering

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Publisher : Springer Nature
ISBN 13 : 3031535529
Total Pages : 473 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Data Analytics in System Engineering by : Radek Silhavy

Download or read book Data Analytics in System Engineering written by Radek Silhavy and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonprofit Digital Transformation Demystified

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Publisher : Springer Nature
ISBN 13 : 3031471822
Total Pages : 198 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Nonprofit Digital Transformation Demystified by : Ali A. Gooyabadi

Download or read book Nonprofit Digital Transformation Demystified written by Ali A. Gooyabadi and published by Springer Nature. This book was released on 2024-01-15 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this compelling journey into Digital Transformation (DT) tailored for Nonprofit Organizations (NPOs), this book unravels the intricacies of technological integration. Grounded in over one hundred years of extensive research by authors and the editor, real-world examples, and using the San Diego Diplomacy Council (SDDC) as a primary case study, it introduces a tailored Digital Maturity Model (DMM) for NPOs. At the heart of this transformation are three pivotal pillars: Culture, Ethics, and Security. Part I sets the stage, painting a landscape of how NPOs have intertwined with the digital realm. As technology's omnipresence surges, Chapter Two offers a panorama of DT's historical and contemporary intersections with the nonprofit sector. The subsequent chapter emphasizes the stark reality: for many NPOs, digital adaptation is no longer about relevance but survival. Part II delves into the comparative digital strategies of NPOs and their for-profit counterparts in Chapter 4, highlighting the need for tailored approaches. Chapter 5 explores the Nonprofit Digital Maturity Model (NDMM), using the San Diego Diplomacy Council as a focal point. The journey then unfolds further in Chapter 6, which casts a spotlight on the strategic execution of DT in NPOs, weaving in comprehensive analyses to dissect the forces shaping an NPO's digital trajectory. Part III dives deeper, with Chapter 7 laying the foundation of the NDMM. The subsequent chapter meticulously unpacks the NDMM, culminating in Chapter 9, which emphasizes the pillars of DT—Culture, Ethics, and Security—forming the essence of the Nonprofit DT Strategic Framework (NDTSF). This chapter also crafts a tailored roadmap for NPOs, charting a comprehensive DT course. Concluding with a forward-looking stance, Chapter 10 thrusts readers into the enthralling fusion of AI and NPOs, exploring transformative potentials and ethical concerns. Through real-world cases, it positions AI as both a potent tool and a vital dialogue for NPOs. Essentially, this book equips NPOs with tools like the NDMM and insights from successful DT narratives. It seeks to provide a practical guide for nonprofits through their DT journey, ensuring they harness technology ethically and effectively without compromising their core values.

System Analysis in Engineering and Control

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Publisher : Springer Nature
ISBN 13 : 3030988325
Total Pages : 619 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis System Analysis in Engineering and Control by : Yuriy S. Vasiliev

Download or read book System Analysis in Engineering and Control written by Yuriy S. Vasiliev and published by Springer Nature. This book was released on 2022-04-16 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the results of research that has been obtained during the last decades by scholars representing several scientific schools working in the field of theory of systems and system analysis. In the book chapters, attention is paid to the development of the general theory of systems’ provisions, approaches, models, and methods of system analysis; such as the concepts of an open system and adaptive systems; the concepts of “the movable equilibrium” and “disequilibrium”, the approach of “growing” the system and its developing through innovations; the system-target approach, systems’ regularities; ontological, cognitive and logical-linguistic models of systems, etc. The book includes parts devoted to the general theoretical and philosophical-methodological problems of systems theory; methods and models of system analysis; innovation technologies in technical and socioeconomic systems; system analyses in the educational process, and higher education management. The materials of the book may be of interest to researchers and specialists working in the field of systems analysis, engineering, computer technologies, including human–computer interaction in socio-technical systems; for the representatives of the academic and engineering society.

Moral AI

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Publisher : Random House
ISBN 13 : 024145476X
Total Pages : 212 pages
Book Rating : 4.2/5 (414 download)

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Book Synopsis Moral AI by : Jana Schaich Borg

Download or read book Moral AI written by Jana Schaich Borg and published by Random House. This book was released on 2024-02-08 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: A balanced and thought-provoking guide to all the big questions about AI and ethics Can computers understand morality? Can they respect privacy? And what can we do to make AI safe and fair? The artificial intelligence revolution has begun. Today, there are self-driving cars on our streets, autonomous weapons in our armies, robot surgeons in our hospitals – and AI's presence in our lives will only increase. Some see this as the dawn of a new era in innovation and ease; others are alarmed by its destructive potential. But one thing is clear: this is a technology like no other, one that raises profound questions about the very definitions of human intelligence and morality. In Moral AI, world-renowned researchers in moral psychology, philosophy, and artificial intelligence – Jana Schaich Borg, Walter Sinnott-Armstrong and Vincent Conitzer – tackle these thorny issues head-on. Writing lucidly and calmly, they lay out the recent advances in this still nascent field, peeling away the exaggeration and misleading arguments. Instead, they offer clear examinations of the moral concerns at the heart of AI programs, from racial equity to personal privacy, fake news to autonomous weaponry. Ultimately, they argue that artificial intelligence can be built and used safely and ethically, but that its potential cannot be achieved without careful reflection on the values we wish to imbue it with. This is an essential primer for any thinking person.

Digital Health: A Transformative Approach

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Publisher : Elsevier Health Sciences
ISBN 13 : 0729598381
Total Pages : 314 pages
Book Rating : 4.7/5 (295 download)

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Book Synopsis Digital Health: A Transformative Approach by : Helen Almond

Download or read book Digital Health: A Transformative Approach written by Helen Almond and published by Elsevier Health Sciences. This book was released on 2023-09-25 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Health: A Transformative Approach is designed to prepare Australia and New Zealand’s future health and social care workforce for the rapidly evolving digital health landscape. It is the first local health informatics title reflecting Australasia-specific contexts and its learning objectives are aligned to National Digital Health Strategies and Frameworks. A scaffolded approach to learning, makes this text suitable for all health and social care professionals, from early learners developing skills, to those more capable who want to adapt and lead in digital health. The text is supported by online case studies that will assist development of digital professionalism and understanding requirements of digital technology across clinical, research, education and administration in diverse health and social care environments. Information presented across four units and 12 chapters that support learning and teaching and help build learners’ work readiness Scaffolded approach across three levels of capability – empowered, transitional, and entrusted - suitable for undergraduate, postgraduate and ongoing professional development Supported by an Elsevier Adaptive Quizzing (EAQ) to provide formative assessment across the three levels Includes telehealth, electronic medical/health records, clinical technologies, disaster planning, interoperability and precision health care Additional online case studies to support advanced learning.