How would the humanities change if we grappled with the ways in which digital and virtual places are designed, experienced, and critiqued? In Rethinking Virtual Places, Erik Malcolm Champion draws from the fields of computational sciences and other place-related disciplines to argue for a more central role for virtual space in the humanities. For instance, recent developments in neuroscience could improve our understanding of how people experience, store, and recollect place-related encounters. Similarly, game mechanics using virtual place design might make digital environments more engaging and learning content more powerful and salient. In addition, Champion provides a brief introduction to new and emerging software and devices and explains how they help, hinder, or replace our traditional means of designing and exploring places. Perfect for humanities scholars fascinated by the potential of virtual space, Rethinking Virtual Places challenges both traditional and recent evaluation methods to address the complicated problem of understanding how people evaluate and engage with the notion of place.

How would the humanities change if we grappled with the ways in which digital and virtual places are designed, experienced, and critiqued? In Rethinking Virtual Places, Erik Malcolm Champion draws from the fields of computational sciences and other place-related disciplines to argue for a more central role for virtual space in the humanities. For instance, recent developments in neuroscience could improve our understanding of how people experience, store, and recollect place-related encounters. Similarly, game mechanics using virtual place design might make digital environments more engaging and learning content more powerful and salient. In addition, Champion provides a brief introduction to new and emerging software and devices and explains how they help, hinder, or replace our traditional means of designing and exploring places. Perfect for humanities scholars fascinated by the potential of virtual space, Rethinking Virtual Places challenges both traditional and recent evaluation methods to address the complicated problem of understanding how people evaluate and engage with the notion of place.

Master the art and science of data storytelling--with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today's economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative--to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling--data, narrative, and visuals--and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.

Take your design work to the next level with Making and Breaking the Grid: A Graphic Design Layout Workshop (Third Edition), the essential easy-to-use guide for designers working in every medium. With over 150,000 copies in print, this new edition makes a classic text relevant to a new generation of designers. Updates include:   A cross-cultural inclusive re-envisioning of design history related to the grid, including alternative approaches to layout Expanded discussion of grid use in interactive, UX/UI scenarios Greater equity in the representation of design work by women and BIPOC designers Grids are the most basic and essential forms in graphic design—and they can be the most rigid. This book shows you how to understand the rules of the grid to use them effectively, and then how to break them, resulting in phenomenal cohesive layouts. Timothy Samara explains the history of the grid and shows examples of grid basics, such as column, compound, and modular grids. He shows methods for building and using grids, and offers numerous examples of stunning design projects using a variety of imagery and typography. Pages are filled with hundreds of large, full-color layout concepts and diagrams that educate and inspire. After mastering the grid, discover how to break it using conceptual designs that deconstruct and flip the grid successfully. Split, splice, and shift; create spontaneous compositions; make narrative constructs; work on an axis; use intuitive design; and more to create unique layouts or other projects. See ideas in action with eye-catching layout examples. With this book you will:   learn how grids work. be inspired to explore new concepts for using—or not using—grids. discover achievable alternatives for boring layouts. get the results you want using fresh design elements. learn designers’ processes via fascinating case studies. see numerous examples of successful layouts created with and without grids. communicate ideas effectively using visual language. This new, expanded edition presents the most comprehensive, accessible, in-depth exposition of layout concepts ever published.

Most discussions of the digital divide focus on the gap between African Americans and others when it comes to using, and benefiting from, the technological and business opportunities of the information age. Although many African Americans are locked out of the information revolution, others are an integral part of its development and progress. Barber profiles 26 of those leaders here, engagingly and informatively blending biography with insight and analysis. Most discussions of the digital divide focus on the gap between African Americans and others when it comes to using, and benefiting from, the technological and business opportunities of the information age. Although many African Americans are locked out of the information revolution, others are an integral part of its development and progress. Barber profiles 26 of them here, engagingly and informatively blending biography with insight and analysis. Documenting history as it is being made, this book features achievers in all fields of relevant endeavor, including scientists, business leaders, power brokers, and community leaders. Among them are Robert Johnson, CEO of Black Entertainment Television; Richard Parsons, CEO of AOL Time-Warner; congressmen and other policymakers in Washington, D.C.; and men and women who are working to bridge the digital divide in satellite radio, web-based portals, and on the ground with IT workshops. This book is not just about business success or technological progress. The African American digerati are solving one of the great social challenges of the 21st century: creating a black community that is prosperous in a society that has changed from being a land-based industrial society to a cyberspace-based information society.

Be a new face on Facebook! If you're new to the Facebook user community, don't be shy: you're joining around 2.7 billion users (roughly two-and-a-half Chinas) worldwide, so you'll want to make sure you're being as sociable as possible. And with more functionality and ways to say hello--like 3-D photos and Video Chat rooms--than ever before, Facebook For Dummies is the perfect, informative companion to get and new and inexperienced users acquainted with the main features of the platform and comfortable with sharing posts, pictures (or whatever else you find interesting) with friends, family, and the world beyond! In a chatty, straightforward style, your friendly hosts, Carolyn Abram and Amy Karasavas--both former Facebook employees--help you get settled in with the basics, like setting up your profile and adding content, as well as protecting your privacy when you want to decide who can and can't see your posts. They then show you how to get involved as you add new friends, toggle your newsfeed, shape your timeline story, join groups, and more. They even let you in on ways to go pro and use Facebook for work, such as building a promo page and showing off your business to the world. Once you come out of your virtual shell, there'll be no stopping you! Build your profile and start adding friends Send private messages and instant notes Share your memories Tell stories about your day Set your privacy and curate your news feed Don't be a wallflower: with this book you have the ideal icebreaker to get the party started so you can join in with all the fun!

 Learn favorite techniques from this group of twenty-two Excel MVPs. The Excel MVPs are friends and competitors who each pulled out their favorite tricks to impress you and their fellow MVPs.

Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: - A comprehensive overview of the various fields of application of data science - Case studies from practice to make the described concepts tangible - Practical examples to help you carry out simple data analysis projects The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Contains these current issues: - Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms. - Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice - Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies - Computer vision: How can we gain insights from images and videos with data science? - Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios. - ML and AI in production: How to turn experimentation into a working data science product? - Presenting your results: Essential presentation techniques for data scientists Contributors: Stefan Papp / Wolfgang Weidinger / Katherine Munro / Bernhard Ortner / Annalisa Cadonna / Georg Langs / Roxane Licandro / Mario Meir-Huber / Danko Nikoli? / Zoltan Toth / Barbora Vesela / Rania Wazir / Günther Zauner

Information networking has emerged as a multidisciplinary diversified area of research over the past few decades. From traditional wired telephony to cellular voice telephony and from wired access to wireless access to the Internet, information networks have profoundly impacted our lifestyles as they have undergone enormous growth. To understand this technology, students need to learn several disciplines and develop an intuitive feeling of how they interact with one another. To achieve this goal, the book describes important networking standards, classifying their underlying technologies in a logical manner and gives detailed examples of successful applications. The emergence of wireless access and dominance of the Ethernet in LAN technologies has shifted the innovations in networking towards the physical layer and characteristics of the medium. This book pays attention to the physical layer while we provide fundamentals of information networking technologies which are used in wired and wireless networks designed for local and wide area operations. The book provides a comprehensive treatment of the wired IEEE802.3 Ethernet, and Internet as well as ITU cellular 2G-6G wireless networks, IEEE 802.11 for Wi-Fi, and IEEE 802.15 for Bluetooth, ZigBee and ultra-wideband (UWB) technologies. The novelty of the book is that it places emphasis on physical communications issues related to formation and transmission of packets and characteristics of the medium for transmission in variety of networks. Material presented in the book will be beneficial for students of Electrical and Computer Engineering, Computer Science, Robotics Engineering, Biomedical Engineering, or other disciplines who are interested in integration of navigation into their multi-disciplinary projects. The book provides examples with supporting MATLAB codes and hands-on projects throughout to improve the ability of the readers to understand and implement variety of algorithms.

Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital for hospitals and health systems to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. This book addresses several topics important to the understanding and use of data in healthcare. First, it provides a formal explanation based on epistemology (theory of knowledge) of what data actually is, what we can know about it, and how we can reason with it. The culture of data is also covered and where it fits into healthcare. Then, data quality is addressed, with a historical appreciation, as well as new concepts and insights derived from the author's 35 years of experience in technology. The author provides a description of what healthcare data analysis is and how it is changing in the era of abundant data. Just as important is the topic of infrastructure and how it provides capability for data use. The book also describes how healthcare information infrastructure needs to change in order to meet current and future needs. The topics of artificial intelligence (AI) and machine learning in healthcare are also addressed. The author concludes with thoughts on the evolution of the role and use of data and information going into the future.

From technologist and strategist Brian Evergreen, a bold new agenda for the role of organizational leaders in creating a more human future with technology Social good initiatives are incompatible with the current network of systems that make up and support the private and public sectors. Millions of dollars have been invested in bringing leaders together from organizations around the world to design solutions for global challenges such as the climate crisis, child labor, racism, war, and many more. Despite executive buy-in, alignment of core capabilities and resources, passionate leadership, and well-designed strategies, these initiatives inevitably fail (with a few, notable exceptions). The dawn of the Internet ignited a global redesign and rebuild of the interlocking systems that make up and support the private and public sectors today. The era of Digital Transformation extended this further through the adoption of cloud technologies and distributed computing. With a recent wave of technological advancements, organizations have arrived at another global redesign and rebuilding of the network of systems that make up society: Autonomous Transformation, revealing an opportunity for leaders to create Profitable Good through systemic design in combination with emerging autonomous technologies and surprising and remarkable partnerships. Autonomous Transformation provides a blueprint for leaders and managers who have aspired or attempted to harness artificial intelligence and its adjacent technologies for the betterment of their organization and the world, weaving strategy, business, economics, systemic design, and philosophy into four actionable steps with accompanying frameworks: Clear the Digital Fog See the Systems Choose a Problem Future Design Inevitability

This textbook focuses on distributed ledger technology (DLT) and its potential impact on society at large. It aims to offer a detailed and self-contained introduction to the founding principles behind DLT accessible to a well-educated but not necessarily mathematically oriented audience. DLT allows solving many complicated problems arising in economics, banking, and finance, industry, trade, and other fields. However, to reap the ultimate benefits, one has to overcome some of its inherent limitations and use it judiciously. Not surprisingly, amid increasing applications of DLT, misconceptions are formed over its use. The book thoroughly dispels these misconceptions via an impartial assessment of the arguments rooted in scientific reasoning.Blockchain and Distributed Ledgers: Mathematics, Technology, and Economics offers a detailed and self-contained introduction to DLT, blockchains, and cryptocurrencies and seeks to equip the reader with an ability to participate in the crypto economy meaningfully.

Looking towards the future can be daunting, but with Future Hackers, the sequel to The Future Is Now, you can prepare for the exciting changes that lie ahead. From technological advancements to cultural shifts, the coming years will bring unprecedented transformations that will shape our lives in ways we can't even imagine. This book is your essential guide to understanding these changes and adapting to them with optimism and confidence. With expert insights into the latest trends in work, leadership and technology, Future Hackers is your indispensable tool for thriving in a rapidly changing world. Whether you're a business leader, a student, or just someone who wants to stay ahead of the curve, this book will help you navigate the road to 2030 and beyond.

The need for continual development and transformation of healthcare information systems is evident, though progress in this arena is often met with a significant number of challenges. Developments in Healthcare Information Systems and Technologies: Models and Methods presents the latest research in healthcare information systems design, development, and deployment, benefiting researchers, practitioners, and students. Contributions investigate topics such as clinical education, electronic medical records, clinical decision support systems, and IT adoption in healthcare.

Safeguarding Our Privacy and Our Values in an Age of Mass Surveillance America's mass surveillance programs, once secret, can no longer be ignored. While Edward Snowden began the process in 2013 with his leaks of top secret documents, the Obama administration's own reforms have also helped bring the National Security Agency and its programs of signals intelligence collection out of the shadows. The real question is: What should we do about mass surveillance? Timothy Edgar, a long-time civil liberties activist who worked inside the intelligence community for six years during the Bush and Obama administrations, believes that the NSA's programs are profound threat to the privacy of everyone in the world. At the same time, he argues that mass surveillance programs can be made consistent with democratic values, if we make the hard choices needed to bring transparency, accountability, privacy, and human rights protections into complex programs of intelligence collection. Although the NSA and other agencies already comply with rules intended to prevent them from spying on Americans, Edgar argues that the rules-most of which date from the 1970s-are inadequate for this century. Reforms adopted during the Obama administration are a good first step but, in his view, do not go nearly far enough. Edgar argues that our communications today-and the national security threats we face-are both global and digital. In the twenty first century, the only way to protect our privacy as Americans is to do a better job of protecting everyone's privacy. Beyond Surveillance: Privacy, Mass Surveillance, and the Struggle to Reform the NSA explains both why and how we can do this, without sacrificing the vital intelligence capabilities we need to keep ourselves and our allies safe. If we do, we set a positive example for other nations that must confront challenges like terrorism while preserving human rights. The United States already leads the world in mass surveillance. It can lead the world in mass surveillance reform.

Estimating software development often produces more angst than value, but it doesn't have to. Identify the needs behind estimate requests and determine how to meet those needs simply and easily. Choose estimation techniques based on current needs and available information, gaining benefit while reducing cost and effort. Detect bad assumptions that might sink your project if you don't adjust your plans. Discover what to do when an estimate is wrong, how to recover, and how to use that knowledge for future planning. Learn to communicate about estimates in a healthy and productive way, maximizing advantage to the organization and minimizing damage to the people. In a world where most developers hate estimation and most managers fear disappointment with the results, there is hope for both. It requires giving up some widely held misconceptions. Let go of the notion that "an estimate is an estimate" and estimate for the particular need you, and your organization, have. Realize that estimates have a limited shelf-life, and reestimate frequently if it's important. When reality differs from your estimate, don't lament; mine that disappointment for the gold that can be the longer-term jackpot. Estimate in comparison to past experience, by modeling the work mathematically, or a hybrid of both. Learn strategies for effective decomposition of work and aspects of the work that likely affect your estimates. Hedge your bets by comparing the results of different approaches. Find out what to do when an estimate proves wrong. And they will. They're estimates, after all. You'll discover that you can use estimates to warn you of danger so you can take appropriate action in time. Learn some crucial techniques to understand and communicate with those who need to understand. Address both the technical and sociological aspects of estimation, and you'll help your organization achieve its desired goals with less drama and more benefit. What You Need: No software needed, just your past experience and concern for the outcomes.

This book offers a survey of successful attributes of the systems engineer. It focuses on the key positive attributes of what today’s systems engineer should be and puts a model in place for achievement and behavior for future systems engineers. The book, in survey form, provides a description of how and why systems engineers can be, and have been, successful. It offers successful attributes, focuses on the key positive qualities, and drills down to the success features to aim for and the failure characteristics to avoid. The ending result is that it sets a model for achievement and behavior for future systems engineers to follow a successful path. This book will be helpful to systems engineers, industrial engineers, mechanical engineers, general engineers, and those in technical management.

The crypto wars have raged for half a century. In the 1970s, digital privacy activists prophesied the emergence of an Orwellian State, made possible by computer-mediated mass surveillance. The antidote: digital encryption. The U.S. government warned encryption would not only prevent surveillance of law-abiding citizens, but of criminals, terrorists, and foreign spies, ushering in a rival dystopian future. Both parties fought to defend the citizenry from what they believed the most perilous threats. The government tried to control encryption to preserve its surveillance capabilities; privacy activists armed citizens with cryptographic tools and challenged encryption regulations in the courts. No clear victor has emerged from the crypto wars. Governments have failed to forge a framework to govern the, at times conflicting, civil liberties of privacy and security in the digital age—an age when such liberties have an outsized influence on the citizen–State power balance. Solving this problem is more urgent than ever. Digital privacy will be one of the most important factors in how we architect twenty-first century societies—its management is paramount to our stewardship of democracy for future generations. We must elevate the quality of debate on cryptography, on how we govern security and privacy in our technology-infused world. Failure to end the crypto wars will result in societies sleepwalking into a future where the citizen–State power balance is determined by a twentieth-century status quo unfit for this century, endangering both our privacy and security. This book provides a history of the crypto wars, with the hope its chronicling sets a foundation for peace.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data. It also covers extracts from a few project dissertations and a research funded project that the author had supervised.• Describes the power of ontologies for better data management• Provides an overview of knowledge engineering including ontology engineering, tools and techniques• Provides sample development procedures for creating two domain ontologies.• Depicts the utility of ontological representation in situation awareness• Demonstrates recommendation engine for unconventional emergencies using a hybrid reasoning approach.• The text explains how to make better utilization of resources when emergency strikesGraduates and undergraduates doing courses in artificial intelligence, semantic web and knowledge engineering will find this book beneficial.

Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities. The book aims to improve readers’ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.