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Erasmus Universiteit Rotterdam, Erasmus School of Economics, Econometrie

Erasmus Universiteit Rotterdam, Erasmus School of Economics, Econometrie

17 Projects, page 1 of 4
  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: 016.Vidi.185.049

    This research will consider three phases of an individual’s life when future crime can be prevented. First, at birth through the effect of parental influence. Second, as a teenager because of psychological misconceptions. Third, by putting the right prisoner in the right prison. Main research question: which is most efficient?

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: MP-274-15

    This proposal is for an institutional pilot account of the Erasmus Research School of Management (ERIM). Many of the researchers in ERIM are tackling problems that are inherently computationally hard, either by definition (logistics), by the size of the analysed data (marketing, finance) or due to the computational complexity of realistic models (computational economics). Up until now the ERIM researchers have had to resort to analysing smaller problems, waiting longer times for computations to complete, or to outsource the computation to external, private cloud service providers. The current application of computational support from the Dutch national cluster, once granted, would provide us with an efficient solution for performing computations required for our basic research. The application is for a period of one year and 100.000 PNU (processor-node-uur).

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: 406.22.24EB.037

    Countries, firms, and individual persons (units) are interconnected, such that the behaviour and the performance of an individual are often influenced by those of others. These connections also vary over time or regimes due to various shocks, e.g., Brexit, the Corona pandemic, policy implementations, and technology change. This research project will create innovative tools to model and uncover the varying connections of these units in a new but increasing popular type of data structure, namely multi-dimensional data.

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: NWA.1518.22.054

    The healthcare sector is one of the most carbon-intensive sectors. In response, the Dutch government has called for more environmentally sustainable healthcare. The project ESCH-R addresses this challenge with its mission to accelerate the adoption of circular interventions in hospitals and thereby lower the ecological footprint of the healthcare sector. Our research question is: How can hospitals move away from single use medical consumables and make the transition towards circularity? Together with societal partners, our interdisciplinary team will develop circular, safe and scalable strategies for circularity. In the long-run, the ESCH-R project contributes to a sustainable and resilient health system.

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: 15661

    Bestaande duurzame energie indices tonen dat beleggen in aandelen van duurzame energiebedrijven te weinig rendement oplevert. Eigen onderzoek toont aan dat dit beeld onterecht is en het beleggers ervan weerhoudt te investeren in duurzame energie. Wij als EF-I hebben een nieuwe beleggingsindex voor duurzame energieaandelen ontwikkeld, de EF-I RE25 Index, en het toont dat beleggen in duurzame energieaandelen een goed rendement levert. Dit helpt de kapitaalstroom richting de duurzame energiebedrijven en komt ten goede aan de duurzame energie transitie. De technische haalbaarheid van de index is al bewezen. Met de STW take-off subsidie willen we de commerciële haalbaarheid van een start-up op basis van de index onderzoeken.

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