130,643 research outputs found

    PNRR e università. Una prospettiva locale

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    The dramatic economic and social consequences triggered by the COVID-19 crisis have urged countries to adopt exceptional measures to support the recovery of their economies. In July 2020, the European Council agreed upon the Next Generation EU (NGEU), a €750 billion plan to support Member States hit by the crisis. To receive financial support, Member States must prepare national recovery and resilience plans (NRRP) setting out their reform and investment agenda to be implemented by the end of 2026. Out of all the EU countries, Italy is one of the main beneficiaries of the NGEU. The effective implementation of its NRRP will depend on the governance mechanisms put in place to ensure coordination between the State, Regions, and Municipalities. In this multi-governance system, Municipalities play a central role, as recipients and implementers of several projects. Acknowledging the challenges faced by Municipalities that would benefit from the NRRP, this study reviews the supporting role of universities in the context of collaborative models for innovation, including the Triple and Quadruple Helix. Drawing on the Third Mission of the University, the study reports the preliminary results of a survey, launched by the University of Macerata, to explore the challenges faced by local Municipalities in accessing to NRRP funds. Indications are provided to support the col labor a t ion among local administrators and universities. This co-creative approach might inform NRRP projects’ design and implementation, also generating short-, medium- and long-term impacts on the academic and local community, in economic, social, cultural and environmental terms

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    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

    La transposición del conocimiento psicológico: el saber, sus mediaciones y los...

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    El presente Proyecto se propone construir un marco teórico para la transposición del conocimiento psicológico en el ámbito de la enseñanza; el estudio nos ubica en el cruce de dos lógicas: la lógica de la producción de conocimiento y la de transmisión del conocimiento. Se consideran los interrogantes acerca del tema y las primeras respuestas construidas durante el trayecto de formación de los profesores en psicología. La particularidad de este proceso en el marco de la cátedra "Planificación didáctica y prácticas de la enseñanza en psicología" posibilita abrir nuevas líneas en oposición a lo que podría llamarse "enseñanza tradicional". El estudio se centrará en las teorías que constituyen el núcleo fundante de la disciplina psicológica y que forman parte de los contenidos de enseñanza en el nivel polimodal y en la formación docente. Se intenta reconstruir el proceso de producción del conocimiento psicológico focalizando en las diferentes dimensiones: currículum prescripto, real y ...Fil: Compagnucci, Elsa Rosa. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.Datos extraídos del Programa de Incentivos a Docentes-Investigadores, Secretaría de Políticas Universitarias, Ministerio de Educación, Ciencia y Tecnología, Argentina. Disponible en http://incentivos.spu.edu.ar, consulta realizada el 10 de octubre de 2007.Entre llaves se indican las correcciones tipográficas y/o gramaticales y el texto completo de abreviaturas

    Contribution à l’étude de l’hépatite contagieuse du chien. Ill. - Essai de «diagnostic enzymatique » de l'infection expérimentale du chien

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    Compagnucci M., Pilet Ch., Chevet A., Goret Pierre. Contribution à l’étude de l’hépatite contagieuse du Chien. III. Essai de «diagnostic enzymatique» de l’infection expérimentale du Chien. In: Bulletin de l'Académie Vétérinaire de France tome 116 n°1, 1963. pp. 35-39

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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