Special Issue New Horizons And Challenges For Future Oriented Technology Analysis
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| Author | : Dirk Meissner |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 301 |
| Release | : 2013-05-24 |
| Genre | : Science |
| ISBN | : 3642318274 |
The book gives practical guidance for policy makers, analysts and researchers on how to make the most of the potential of Foresight studies. Based on the concept of evidence-based policy-making, Foresight studies are common practice in many countries and are commonly understood as a supportive tool in designing future-oriented strategies. The book outlines approaches and experiences of integrating such Foresight studies in the making and implementation of science, technology and innovation (STI) policies at different national levels. It delivers insights into practical approaches of developing STI policy measures oriented towards future societal and technological challenges based on evidence drawn from comparable policy measures worldwide. Authors from leading academic institutions, international organizations and national governments provide a sound theoretical foundation and framework as well as checklists and guidelines for leveraging the potential impact of STI policies.
| Author | : David Wright |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 292 |
| Release | : 2008-01-08 |
| Genre | : Computers |
| ISBN | : 1402066627 |
Copy the following link for free access to the first chapter of this title: http://www.springerlink.com/content/j23468h304310755/fulltext.pdf This book is a warning. It aims to warn policy-makers, industry, academia, civil society organisations, the media and the public about the threats and vulnerabilities facing our privacy, identity, trust, security and inclusion in the rapidly approaching world of ambient intelligence (AmI). In the near future, every manufactured product – our clothes, money, appliances, the paint on our walls, the carpets on our floors, our cars, everything – will be embedded with intelligence, networks of tiny sensors and actuators, which some have termed “smart dust”. The AmI world is not far off. We already have surveillance systems, biometrics, personal communicators, machine learning and more. AmI will provide personalised services – and know more about us – on a scale dwarfing anything hitherto available. In the AmI vision, ubiquitous computing, communications and interfaces converge and adapt to the user. AmI promises greater user-friendliness in an environment capable of recognising and responding to the presence of different individuals in a seamless, unobtrusive and often invisible way. While most stakeholders paint the promise of AmI in sunny colours, there is a dark side to AmI. This book aims to illustrate the threats and vulnerabilities by means of four “dark scenarios”. The authors set out a structured methodology for analysing the four scenarios, and then identify safeguards to counter the foreseen threats and vulnerabilities. They make recommendations to policy-makers and other stakeholders about what they can do to maximise the benefits from ambient intelligence and minimise the negative consequences.
| Author | : J Ramon Gil-Garcia |
| Publisher | : Springer |
| Total Pages | : 434 |
| Release | : 2017-10-03 |
| Genre | : Political Science |
| ISBN | : 3319617621 |
This book provides a comprehensive approach to the study of policy analytics, modelling and informatics. It includes theories and concepts for understanding tools and techniques used by governments seeking to improve decision making through the use of technology, data, modelling, and other analytics, and provides relevant case studies and practical recommendations. Governments around the world face policy issues that require strategies and solutions using new technologies, new access to data and new analytical tools and techniques such as computer simulation, geographic information systems, and social network analysis for the successful implementation of public policy and government programs. Chapters include cases, concepts, methodologies, theories, experiences, and practical recommendations on data analytics and modelling for public policy and practice, and addresses a diversity of data tools, applied to different policy stages in several contexts, and levels and branches of government. This book will be of interest of researchers, students, and practitioners in e-government, public policy, public administration, policy analytics and policy informatics.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 393 |
| Release | : 2020-05-01 |
| Genre | : Science |
| ISBN | : 0309495679 |
Research and innovation in the life sciences is driving rapid growth in agriculture, biomedical science, information science and computing, energy, and other sectors of the U.S. economy. This economic activity, conceptually referred to as the bioeconomy, presents many opportunities to create jobs, improve the quality of life, and continue to drive economic growth. While the United States has been a leader in advancements in the biological sciences, other countries are also actively investing in and expanding their capabilities in this area. Maintaining competitiveness in the bioeconomy is key to maintaining the economic health and security of the United States and other nations. Safeguarding the Bioeconomy evaluates preexisting and potential approaches for assessing the value of the bioeconomy and identifies intangible assets not sufficiently captured or that are missing from U.S. assessments. This study considers strategies for safeguarding and sustaining the economic activity driven by research and innovation in the life sciences. It also presents ideas for horizon scanning mechanisms to identify new technologies, markets, and data sources that have the potential to drive future development of the bioeconomy.
| Author | : Jitendra Kumar |
| Publisher | : CRC Press |
| Total Pages | : 383 |
| Release | : 2024-08-07 |
| Genre | : Computers |
| ISBN | : 1040089267 |
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protocols, and system design principles of key smart technologies including cloud computing and the internet of things. • Discusses the system design principles in cloud computing along with artificial intelligence, machine learning, and data analytics applications • Presents blockchain-based solutions, cyber-physical system applications, and deep learning approaches to solving practical problems • Highlights important concepts including the cloud of things architecture, cloud service management and virtualization, and resource management techniques • Covers advanced technologies including fog computing, edge computing, and distributed intelligence • Explores cloud-enabling technology, broadband networks and internet architecture, internet service providers (ISPs), and connectionless packet switching. The book is primarily written for graduate students, academic researchers, and professionals in the field of computer science and engineering, electrical engineering, and information technology.
| Author | : Mariana Mazzucato |
| Publisher | : Rowman & Littlefield |
| Total Pages | : 175 |
| Release | : 2015-03-06 |
| Genre | : Political Science |
| ISBN | : 1783484969 |
The role of the state in modern capitalism has gone beyond fixing market failures. Those regions and countries that have succeeded in achieving “smart” innovation-led growth have benefited from long-term visionary “mission-oriented” policies—from putting a man on the moon to tackling societal challenges such as climate change and the wellbeing of an ageing population. This book collects the experience of different types of mission-oriented public institutions around the world, together with thought-provoking chapters from leading economists. As the global debate on deficits and debt levels continues to roar, the book offers a challenge to the conventional narrative—asking what kinds of visionary fiscal policies we need to help promote "smart” innovation-led, inclusive, and sustainable growth.
| Author | : |
| Publisher | : |
| Total Pages | : 860 |
| Release | : 2005 |
| Genre | : Interplanetary voyages |
| ISBN | : |
| Author | : José María Cavanillas |
| Publisher | : Springer |
| Total Pages | : 312 |
| Release | : 2016-04-04 |
| Genre | : Computers |
| ISBN | : 3319215698 |
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
| Author | : Perry Beaumont |
| Publisher | : Routledge |
| Total Pages | : 186 |
| Release | : 2019-09-10 |
| Genre | : Business & Economics |
| ISBN | : 0429626673 |
The internet is dramatically transforming the way business is done, particularly for financial services. Digital Finance takes a thoughtful look at how the industry is evolving, and it explains how to integrate concepts of digital finance into existing traditional finance platforms. This book explores what successful companies are doing to maximize their opportunities in this context and offers suggestions on how to introduce digital finance into a firm’s structure. Specific strategies for a digital future are presented, alongside numerous case studies that explore key attributes of success. In recognition of the rapidly evolving nature of finance today, Digital Finance is accompanied by a website maintained by the author (PerryBeaumont.com), as well as links to other content with insightful articles, analyses, and opinions. For both practitioners and students of finance, Digital Finance provides a rich context for a better understanding of the landscape of finance today, and lays the foundation for us to process and create the financial innovations of tomorrow.
| Author | : Rajshree Srivastava |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 180 |
| Release | : 2020-10-12 |
| Genre | : Computers |
| ISBN | : 3110676125 |
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
