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M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.
An in-depth examination of the concept of value in a digital world, an analysis of a range of digital business models and a framework for assessing the value of digital businesses. Assessing the value of traditional business was easy. There are hard, well tested metrics and tangible, measurable assets you can literally kick the tyres of. But how do you measure the value of something that consists of little more than bits of information, brand awareness and a compelling idea? In the winner takes all digital world how do you know if this idea is one that will attract billions of dedicated users or a few thousand fleeting trialists? And, most importantly, how do you assess whether any given business model is robust enough to make billions or flawed in a way that will lose millions? Lopez Lubian and Esteves look at what economic value means in a digital world, and argue for a shift from traditional value metrics to digital value metrics. Through high profile case studies they examine the process of valuation in the digital world – examining the challenges of making objective judgments from subjective information and how to assess the value of data. Next they analyse in depth a number of different digital business models from the perspective of delivering value to investors, stakeholders and society at large. Finally they present a framework model for assessing value in digital business.
Executive education is a billion dollar industry that has the potential to transform individual and organizational performance, but in too many cases the decision whether or not to lavish it upon any given manager comes down to whether the fear that they will leave if you don’t spend money on them is greater than the fear that they will leave if you do. Given that the future of your business, or your career, depends on developing your managerial talent to its fullest potential isn’t it time we took a serious look at how do you design and deliver an executive education program that is fit for purpose? Santiago Iñiguez is Dean of the prestigious IE Business School in Madrid – one of the world’s leading providers of executive education. From the impact of MOOCs to the evolution of new multi-dimensional strategic alliances between companies and a diverse range of international education suppliers, institutions, and consultancies, Iñiguez looks at how the future of executive education is changing to meet the needs and wants of top managerial talent. Part of the solution, Iñiguez argues, is to balance the technical, analysis-based “engineering” training that forms the basis of many senior managers’ initial study, with a more rounded, integrated approach that includes learning derived from the humanities, such as art and history. Illustrated with fascinating examples drawn from interviews with some of the most influential figures in business education and corporate training around the World, Iñiguez’s book delivers a unique perspective and valuable insights on what it takes to deliver world-class corporate training.
This concise paperback is one of the best known guides to writing a paper for publication in biomedical journals. Its straightforward format – a chapter covering each of part of the structured abstract – makes it relevant and easy to use for any novice paper writer. How to Write a Paper addresses the mechanics of submission, including electronic submission, and how publishers handle papers, writing letters to journals abstracts for scientific meetings, and assessing papers. This new edition also covers how to write a book review and updated chapters on ethics, electronic publication and submission, and the movement for open access.
With the convergence of Nanotechnology, Biotechnology, Information technology and Cognitive science (NBIC) fields promising to change our competitive, operational, and employment landscape in fundamental ways, we find ourselves on the brink of a new technological and science-driven business revolution. The already emerging reality of convergence is to be found in genomics, robotics, bio-information and artificial intelligence applications, such as: • Self-assembled, self-cleaning and self-healing manufactured materials and textiles, and much stronger, lighter and more customizable structural materials, • Miniature sensors allowing unobtrusive real-time health monitoring and dramatically improved diagnosis; with greatly enhanced real time information to vehicles and drivers on the way, • New generations of supercomputers and efficient energy generators based on biological processes, • Greatly enhanced drug delivery from unprecedented control over fundamental structural properties and biocompatibility of materials. These advances are here already, or in development. And Japan, other Asian nations and Western European countries are investing heavily and moving aggressively to develop and apply NBIC technologies. Notwithstanding the passage of the 21st Century Nanotechnology Research and Development Act, significant further funding and action by both government and private industry will be critical to maintaining US scientific and industry leadership.
Tracing the story of computing from Babylonian counting boards to smartphones, this inspiring textbook provides a concise overview of the key events in the history of computing, together with discussion exercises to stimulate deeper investigation into this fascinating area. Features: provides chapter introductions, summaries, key topics, and review questions; includes an introduction to analogue and digital computers, and to the foundations of computing; examines the contributions of ancient civilisations to the field of computing; covers the first digital computers, and the earliest commercial computers, mainframes and minicomputers; describes the early development of the integrated circuit and the microprocessor; reviews the emergence of home computers; discusses the creation of the Internet, the invention of the smartphone, and the rise of social media; presents a short history of telecommunications, programming languages, operating systems, software engineering, artificial intelligence, and databases.
Science and technological innovation wield unfathomable power in the shaping of social life and the environment. Yet, the democratic control and shaping of technology remains at best an unfinished project, not least due to dominant paradigms of governance implicitly that have historically delegated the good to market forces. This Element explores responsible innovation as an emergent discourse in governing science and society relations. Specifically, it explores the making of responsible innovation through three lenses: first, as a way of reconfiguring the concept of responsibility in science governance with far-reaching implications for scientific culture and practice; second, as a way of injecting agency through deliberative methods aimed at anticipating and deliberating upon the kinds of possible worlds that science and technology bring into being; and third, as a framework for governing innovation sensitive to the dynamics of specific technologies and to the particular socio-political context in which innovation develops.
This book explores the making of robots in labs at the Massachusetts Institute of Technology (MIT). It examines the cultural ideas that go into the making of robots, and the role of fiction in co-constructing the technological practices of the robotic scientists. The book engages with debates in anthropological theorizing regarding the way that robots are reimagined as intelligent, autonomous and social and weaved into lived social realities. Richardson charts the move away from the “worker” robot of the 1920s to the “social” one of the 2000s, as robots are reimagined as companions, friends and therapeutic agents.