Vint Cerf

AI is cutting labor costs and workers are struggling to be valuable. The People Centered Economy (PCE) is a 'Copernican Revolution' placing people, not tasks, at the center of the economy. PCE has a handy definition of the economy: people create and exchange value, served by organization. In PCE, innovation makes people value each other more (not less) and the answer to the 'future of work' is simple: people need as much innovation for earning as there is for spending. Today there is almost none there is an untapped multi-trillion dollar market waiting to be built by "the new ecosystem for innovating jobs." The book presents new ideas, models and policies for entering a competitive people-centered economy. Co-authors, leaders from the new ecosystem, present hands-on cases from the business of raising the value of people and helping them earn a good livelihood: V R Ferose, Lorien Pratt, Sudipto Dasgupta, Ganapathy Subramanian, Thorkil Sonne, Jason Palmer, Allen Blue, Patricia Olby Kimondo, Jamie Merisotis, Jacob Hsu, Tess Posner, Monique Jeanne Morrow, Daniel Pianko, Gi Fernando Wendy Guillliesm Derek Ozkal, Jim Clifton, Sven Otto Littorin and Guido Van Nispen.

The sinister notion that machines will someday kill all jobs has been around for at least 200 years. Yes, machines can replace people at work or change the work that is needed, and they always have. At the same time, the labor force participation in the world has remained quite stable for many generations, and on the whole, the middle class has been growing worldwide. Innovation can both kill and create work. i4j-Innovation for Jobs-is a leadership forum discussing how to disrupt unemployment and eradicate joblessness. All people can create value-but for that to happen, we need to develop a people-centered, rather than a task-centered, economy. Today, we are very far from that. According to Gallup, of the five billion people on this planet aged fifteen or older, three billion work in some way. Most of them want full-time jobs, but only 1.3 billion have them. Of these, only 13 percent are fully engaged in their work, giving and receiving its full value. This terrible waste of human capacity and mismanagement of people's desire to create value for each other is more than just very bad business. It is an insult to ourselves and to all human beings. We believe there are ways to move beyond the habit of rejecting and mistreating ourselves in this way. The good news is that this is an epic opportunity for entrepreneurs. Soon, virtually everyone will have a smartphone, allowing innovations for the first time to compete for the value-creating capacity of people everywhere, around the clock. We can begin to focus on raising the value of people, rather than only lowering the cost of tasks. All people can be offered jobs that are tailored to match their unique sets of skills, talents, and passions with the most valuable opportunities. People need jobs to raise families. Gigs are too unpredictable. Innovators can find new ways of satisfying the need for jobs-it does not have to be employment.i4j visions: Toward an Innovation-for-Jobs Economy by Vint Cerf and David NordforsChapter 1: The Bifurcation is Near by Philip AuerswaldChapter 2: The First Software Age: Programmable Enterprises Creating New Types of Jobs by Robert B. CohenChapter 3: Mobilizing Ecosystems to Drive Innovation for Jobs by John HagelChapter 4: Innovation Dynamics: Analytics Based on Big Data and Network Graph Science- Implications for Innovation for Jobs (i4j) Initiatives by Daniel L. Harple, Jr.Chapter 5: Accelerating Toward a Jobless Future: The Rise of the Machine and the Human Quest for Meaningful Work by Steve Jurvetson and Mohammad IslamChapter 6: How to Disrupt Unemployment Policy? by Sven Otto LittorinChapter 7: Developing Middle Class Jobs in a Digital Economy by Geoffrey MooreChapter 8: The Supercritical Human Elevated SHE] Economy by Monique MorrowChapter 9: Innovation for Jobs with Cognitive Assistants: A Service Science Perspective by Jim SpohrerChapter 10: Creative Learning and the Future of Work by J. Philipp Schmidt, Mitchel Resnick, and Joi ItoChapter 11: Can the Health Industry Cure the Ailing Job Market? by Joon YunChapter 12: Creative Learning by Esther Wojcicki

A new framework for understanding computing: a coherent set of principles spanning technologies, domains, algorithms, architectures, and designs.Computing is usually viewed as a technology field that advances at the breakneck speed of Moore's Law. If we turn away even for a moment, we might miss a game-changing technological breakthrough or an earthshaking theoretical development. This book takes a different perspective, presenting computing as a science governed by fundamental principles that span all technologies. Computer science is a science of information processes. We need a new language to describe the science, and in this book Peter Denning and Craig Martell offer the great principles framework as just such a language. This is a book about the whole of computing-its algorithms, architectures, and designs.Denning and Martell divide the great principles of computing into six categories: communication, computation, coordination, recollection, evaluation, and design. They begin with an introduction to computing, its history, its many interactions with other fields, its domains of practice, and the structure of the great principles framework. They go on to examine the great principles in different areas: information, machines, programming, computation, memory, parallelism, queueing, and design. Finally, they apply the great principles to networking, the Internet in particular.Great Principles of Computing will be essential reading for professionals in science and engineering fields with a "computational" branch, for practitioners in computing who want overviews of less familiar areas of computer science, and for non-computer science majors who want an accessible entry way to the field.