1,721,111 research outputs found

    Interdisziplinarität: Eine theoretische Annäherung an einen viel besprochenen Begriff

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    Die Arbeit von Wissenschaftler:innen ist auch geprägt durch Kommunikation und Austausch mit anderen. Dabei stellen Grenzen der einzelnen Fächer bisweilen Hürden dar und trotzdem, oder gerade deshalb, eröffnen sich in der gemeinsamen Arbeit enorme Chancen. Einen Schlüsselbegriff in diesem Zusammenhang bildet Interdisziplinarität, welche sowohl in den wissenschaftlichen als auch in den gesellschaftlichen und politischen Debatten eine tragende Rolle einnimmt. Im Rahmen des Beitrags wird ein genauerer Blick auf dieses zentrale Arbeits- und Denkkonzept geworfen. Dazu wird der Begriff auf der theoretischen Ebene differenziert aufgeschlüsselt und in seiner Vielfalt exemplarisch eröffnet. Außerdem wird die Bedeutung von Interdisziplinarität als Denkstil in der universitären und außeruniversitären Praxis aufgezeigt

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    Künstliche Intelligenz korrigiert Fehler bei der Wettervorhersage - eine Kooperation zwischen Statistikern und Meteorologen am Karlsruher Institut für Technologie - Campusreport am 01.10.2019

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    Wir kennen das aus der Wetterapp. Da beträgt die Regenwahr-scheinlichkeit in Süddeutschland fürs kommende Wochenende 40% und die Höchsttemperatur bewegt sich irgendwo zwischen 18 und 25 Grad. Das würde man natürlich gern genauer wissen. Lokale Wettervorhersagen weisen immer noch Fehler auf. Das Wetter ist eben ein chaotisches System, das sich nur schwer in Modellen fassen lässt. Die Meteorologen hoffen auf den Einsatz Künstlicher Intelligenz. Mit ihr lassen sich manche Fehlerquellen in den Vorhersagen korrigieren. Das hat jetzt ein Wissenschaftlerteam am Karlsruher Institut für Technologie bewiesen

    Die Mathematik der Wettervorhersage: Von Bauernregeln zu künstlicher Intelligenz (Dr. Sebastian Lerch)

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    Dr. Sebastian Lerch, der Leiter der Nachwuchsgruppe KI-Methoden für probabilistische Wettervorhersagen am Institut für Volkswirtschaftslehre (ECON), beschreibt in seinem Vortrag, wie mathematische Modelle und Techniken auf dem Gebiet der künstlichen Intelligenz für Wettervorhersagen genutzt werden können. Der Vortrag wurde am 7. Februar 2022 im Rahmen der Veranstaltung "KIT im Rathaus - Das KIT-Zentrum MathSEE stellt sich vor" live gestreamt
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