118,185 research outputs found

    From AI dreams to AI realism:What Europe will do after the Draghi report

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    AI has high expectations in European industrial policy. However, an ill-considered AI frenzy could increase Europe's dependencies and disrupt functioning social structures, writes Leevi Saari, who studies the policy dimensions of AI at the University of Amsterdam. He co-authored the AI Now report published today by the AI Research Institute, which outlines new directions for AI industrial policy

    From AI dreams to AI realism:What Europe will do after the Draghi report

    Get PDF
    AI has high expectations in European industrial policy. However, an ill-considered AI frenzy could increase Europe's dependencies and disrupt functioning social structures, writes Leevi Saari, who studies the policy dimensions of AI at the University of Amsterdam. He co-authored the AI Now report published today by the AI Research Institute, which outlines new directions for AI industrial policy

    From AI dreams to AI realism:What Europe will do after the Draghi report

    No full text
    AI has high expectations in European industrial policy. However, an ill-considered AI frenzy could increase Europe's dependencies and disrupt functioning social structures, writes Leevi Saari, who studies the policy dimensions of AI at the University of Amsterdam. He co-authored the AI Now report published today by the AI Research Institute, which outlines new directions for AI industrial policy

    From AI dreams to AI realism:What Europe will do after the Draghi report

    No full text
    AI has high expectations in European industrial policy. However, an ill-considered AI frenzy could increase Europe's dependencies and disrupt functioning social structures, writes Leevi Saari, who studies the policy dimensions of AI at the University of Amsterdam. He co-authored the AI Now report published today by the AI Research Institute, which outlines new directions for AI industrial policy

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Early Detection of Abnormal Growth Associated with Juvenile Acquired Hypothyroidism

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    This is a pre-copyedited, author-produced version of an article accepted for publication in Journal of Clinical Endocrinology & Metabolism, following peer review. The version of record: Antti Saari, M.D., Ph.D, Jari Pokka, M.D, Outi Mäkitie, M.D., Ph.D, Marja-Terttu Saha, M.D., Ph.D, Leo Dunkel, M.D., PhD, Ulla Sankilampi, M.D., Ph.D, Early Detection of Abnormal Growth Associated with Juvenile Acquired Hypothyroidism, The Journal of Clinical Endocrinology & Metabolism, dgaa869, https://doi.org/10.1210/clinem/dgaa869 is available online at: https://doi.org/10.1210/clinem/dgaa86

    Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?

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    In this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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