Results for *

Displaying results 1 to 5 of 5.

  1. China
    challenges and prospects from an industrial and innovation powerhouse
    Published: 2019
    Publisher:  Publications Office of the European Union, Luxembourg

    This report analyses China's approach to attaining a dominant position in international markets through a combination of industrial, research & innovation (R&I), trade and foreign direct investment (FDI) policies. It also offers an assessment of... more

    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    No inter-library loan

     

    This report analyses China's approach to attaining a dominant position in international markets through a combination of industrial, research & innovation (R&I), trade and foreign direct investment (FDI) policies. It also offers an assessment of China's current position compared to the EU and US innovation systems across a range of dimensions. China is rapidly becoming a major industrial competitor in high-tech and growth sectors. It aims, through the Made in China (MIC) 2025 strategy, to become a world leader in 10 key industrial sectors: 1. Next-generation IT; 2. High-end numerical control machinery and robotics; 3. Aerospace and aviation equipment; 4. Maritime engineering equipment and high-tech maritime vessel manufacturing; 5. Advanced rail equipment; 6. Energy-saving vehicles and new energy vehicles; 7. Electrical equipment; 8. Agricultural machinery and equipment; 9. New materials; 10. Biopharmaceutical and high-performance medical devices. In these sectors, it strives to strengthen its domestic innovation capacity, to reduce its reliance on foreign technologies while moving up global value chains. The MIC 2025 strategy aims to encourage substantial investments from national and regional governments to support domestic firms and improve knowledge infrastructures. The government intends to strengthen China's innovation capabilities and overall competitiveness by, in its own words, 'relying on market forces', though, in line with its 'socialist market economy', the state will remain central.

     

    Export to reference management software   RIS file
      BibTeX file
    Content information
    Volltext (kostenfrei)
  2. The changing nature of work and skills in the digital age
    Published: 2019
    Publisher:  Publications Office of the European Union, Luxembourg

    Social media manager, Airbnb host, influencer, SEO specialist, app developer, Uber driver, driverless car engineer, podcast producer and drone operator: these are just some of the jobs that did not exist 10 years ago. What will happen in the future?... more

    Access:
    Resolving-System (kostenfrei)
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    No inter-library loan

     

    Social media manager, Airbnb host, influencer, SEO specialist, app developer, Uber driver, driverless car engineer, podcast producer and drone operator: these are just some of the jobs that did not exist 10 years ago. What will happen in the future? What will today's 10-year-olds do when they are 25? What kind of jobs will disappear, what will be created and why? Which new skills will be valuable in the job market? What new forms of work are emerging? In the European Union (EU), the technological revolution is causing significant changes in the world of work. Some jobs are at risk of being lost to machines. Others are being transformed and new ones are being created. As a result, the skills we need are also changing. At the same time, new forms of employment are on the rise. Occupational structures are shifting, often leading to polarisation in employment and wages which in turn, can increase inequalities.

     

    Export to reference management software   RIS file
      BibTeX file
  3. Legal and regulatory implications of Artificial Intelligence (AI)
    the case of autonomous vehicles, m-health and data mining : a joint EIT-JRC project
    Published: 2019
    Publisher:  Publications Office of the European Union, Luxembourg

    AI will have numerous positive impacts on various aspects of our daily life, but it also presents several challenges. To fully benefit from AI potential, an appropriate regulatory and enabling framework needs to be put in place. This report presents... more

    Access:
    Resolving-System (kostenfrei)
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    No inter-library loan

     

    AI will have numerous positive impacts on various aspects of our daily life, but it also presents several challenges. To fully benefit from AI potential, an appropriate regulatory and enabling framework needs to be put in place. This report presents the findings of a EIT/JRC joint project seeking to identify legal and regulatory challenges the usage of AI technology may bring for start-ups, in an attempt to raise awareness and knowledge about potential hurdles. The report contains the summary of the Workshop "Legal and regulatory implications of Artificial Intelligence (AI): the case" organised in this context, the three papers produced by the experts associated to the project and the project conclus ions. During the Workshop's plenary session, various speakers presented the EC policy landscape, gave concrete examples of EIT innovative projects, and examined the fundamental issue of liability for potential damages caused by AI systems. The experts' papers reviewed during the parallel session provide detailed insights on three specific sectors: notably autonomous vehicles, mobile-health and data mining. Thus the paper on autonomous vehicles tackles, among other issues, the implications of different licence's regimes for road testing, the lack of harmonised safety standards and the absence of a clear liability framework. From a more operational perspective, the expert's paper on m-health highlights concerns raised by the application of GDPR (General Data Protection Regulation) and provides further details on other aspects, such us the tension between portability rights and intellectual property, the application of the regulation on medical devices to m-apps, and the disparities in liability rules. Finally, the legal framework for the use and access to data for AI is explored in the paper on text and data mining. As a conclusion, a number of gaps have been identified across the sectors that may require adjustments in regulation, often on sectorial basis. Finally, it was noted that, when addressing them, policymakers should work closely with industry in order to produce relevant, useful, and balanced legislation.

     

    Export to reference management software   RIS file
      BibTeX file
  4. State of play of connected and automated driving and future challenges and opportunities for Europe's cities and regions
    Published: 2019
    Publisher:  European Committee of the Regions, Bruxelles, Belgique

    Access:
    Resolving-System (kostenfrei)
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
  5. The AI techno-economic segment analysis
    selected indicators
    Published: 2019
    Publisher:  Publications Office of the European Union, Luxembourg

    The Techno-Economics Segment (TES) analytical approach aims to offer a timely representation of an integrated and very dynamic technological domain not captured by official statistics or standard classifications. Domains of that type, such as... more

    Access:
    Resolving-System (kostenfrei)
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    No inter-library loan
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    No inter-library loan

     

    The Techno-Economics Segment (TES) analytical approach aims to offer a timely representation of an integrated and very dynamic technological domain not captured by official statistics or standard classifications. Domains of that type, such as photonics and artificial intelligence (AI), are rapidly evolving and expected to play a key role in the digital transformation, enabling further developments. They are therefore policy relevant and it is important to have available a methodology and tools suitable to map their geographic presence, technological development, economic impact, and overall evolution. The TES approach was developed by the JRC. It provides quantitative analyses in a micro-based perspective. AI has become an area of strategic importance with potential to be a key driver of economic development. The Commission announced in April 2018 a European strategy on AI in its communication "Artificial Intelligence for Europe", COM(2018)237, and in December a Coordinated Action Plan, COM(2018)795. In order to provide quantitative evidences for monitoring AI technologies in the worldwide economies, the TES approach is applied to AI in the present study. The general aim of this work is to provide an analysis of the AI techno-economic complex system, addressing the following three fundamental research questions: (i) Which are the economic players involved in the research and development as well as in the production and commercialisation of AI goods and services? And where are they located? (ii) Which specific technological areas (under the large umbrella of AI) have these players been working at? (iii) How is the network resulting from their collaboration shaped and what collaborations have they been developing? This report addresses these research questions throughout its different sections, providing both an overview of the AI landscape and a deep understanding of the structure of the socio-economic system, offering useful insights for possible policy initiatives. This is even more relevant and challenging as the considered technologies are consolidating and introducing deep changes in the economy and the society. From this perspective, the goal of this report is to draw a detailed map of the considered ecosystem, and to analyse it in a multidimensional way, while keeping the policy perspective in mind. The period considered in our analysis covers from 2009 to 2018. We detected close to 58,000 relevant documents and, identified 34,000 players worldwide involved in AI-related economic processes. We collected and processed information regarding these players to set up a basis from which the exploration of the ecosystem can take multiple directions depending on the targeted objective. In this report, we present indicators regarding three dimensions of analysis: (i) the worldwide landscape overview, (ii) the involvement of players in specific AI technological sub-domains, and (iii) the activities and the collaborations in AI R&D processes. These are just some of the dimensions that can be investigated with the TES approach. We are currently including and analysing additional ones.

     

    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789276125846
    Other identifier:
    Series: JRC technical reports
    Subjects: Künstliche Intelligenz; Digitalisierung; Forschung; Welt; artificial intelligence; digital technology; technological change; research and development; economic policy; new technology; research report
    Scope: 1 Online-Ressource (circa 34 Seiten), Illustrationen