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Cocréation d'un système de service urbain numérique durable et inclusif à partir de la science des données
To our knowledge, there are few studies in the field of public data science and service design offering a methodological approach for the co-creation of digital, smart, and inclusive public services from data science. This article aims to help fill this void in theliterature through the proposal of an interdisciplinary and collaborative methodological approach that involves the design of services based on design thinking and data science. The article offers several contributions. From a methodological point of view, he contributes to the field of public service engineering, to the design of public services, and to data science through the proposal of a 12-step methodology with variable geometry, transposable in several sectors of activity (for example, transport, employment, social) for the co-creation of digital, smart and inclusive public services. From a pragmatic point of view, this research provides insights into the consideration of social inclusion in the design of public services. The article also provides guidelines for practitioners in supply management, engineering, and public service design. These guidelines correspond to the need to take social inclusion into account when defining a durable territorial and open data roadmap within a communityor territory.À notre connaissance, ils existent peu d'études proposant des approches méthodologiques concernant la cocréation des systèmes urbains d'intérêt général à partir de la science des données. Cette étude a pour objectif de contribuer à combler ce vide dans la littérature à travers la proposition d'une approche méthodologique interdisciplinaire et collaborative qui implique le design de systèmes de services urbains à partir du design thinking et de la science des données pour l'intérêt générale. L'article offre plusieurs contributions. Du point de vue méthodologique, il contribue au domaine de systèmes de services urbains, au design des services publics et à la science des données éthique pour l'intérêt général à travers la proposition d'une méthodologie en 12 étapes, transposable dans plusieurs secteurs d'activité (par exemple, le transport, l'emploi, le social). Pour démontrer la méthodologie, l'article présente une analyse et un scénario d'usage à partir des données en open data dans le domaine du transport urbain. D'un point de vue pragmatique, cette étude offre des éclairages sur la prise en considération de l'inclusion sociale et de l'éthique dans le design de systèmes de services urbains ou des systèmes de services publics. L'article offre aussi des lignes directrices pour les praticiens de la gestion de l'offre, de l'ingénierie et du design des systèmes de services publics et urbains. Ces lignes directrices correspondent au besoin d'une prise en considération de l'inclusion sociale et de la data science éthique dans la définition d'une feuille de route pour la gestion de systèmes urbains d'un territoire et de l'open data, au sein d'une collectivité, d'un territoire ou pour les systèmes d'intérêt général sur le long terme. Mots-clés : design de systèmes de services urbains ; science des données ; inclusion sociale ; système de service public durable ; service engineering ; design thinking ; territoire durable (dimension technologique). Abstract : To our knowledge, there are few studies in the field of public data science and service design offering a methodological approach for the co-creation of digital, smart, and inclusive public services from data science. This article aims to help fill this void in the literature through the proposal of an interdisciplinary and collaborative methodological approach that involves the design of services based on design thinking and data science. The article offers several contributions. From a methodological point of view, he contributes to the field of public service engineering, to the design of public services, and to data science through the proposal of a 12-step methodology with variable geometry, transposable in several sectors of activity (for example, transport, employment, social) for the co-creation of digital, smart and inclusive public services. From a pragmatic point of view, this research provides insights into the consideration of social inclusion in the design of public services. The article also provides guidelines for practitioners in supply management, engineering, and public service design. These guidelines correspond to the need to take social inclusion into account when defining a durable territorial and open data roadmap within a community or territory.
A Simple Model Unifies Space, Matter and Light
An alternate model is proposed to derive some basic Einstein's relativity equations, which would make relativity theory easier to comprehend and more intuitive. Despite the radical nature of the hypothesis, the findings are consistent with many predictions of relativity theory and shed light on the fundamental aspects of various relativity concepts. The model unifies Space, Matter, and Light, all of which are of the same nature. Mass-unit is the fundamental building block which consists of size and motion. The invariant space-time interval and the corresponding space-mass interval are derived and explained. The Einstein's energy-momentum equation is valid only under the "with external force" scenario. The "no external force" scenario leads to the generation of a new energy-momentum equation that explains the nature of gravity and perhaps even dark matter. Modified Minkowski spacetime and space-mass diagrams clearly depicts time dilation, length contraction, the massmomentum-energy relationship, and other relativity phenomena
Not relying on the Newton gravitational constant gives more accurate gravitational predictions
The Newton gravitational constant is considered a cornerstone of modern gravity theory. Newton did not invent or use the gravity constant; it was invented in 1873, about the same time as it became standard to use the kilogram mass definition. We will claim G is just a term needed to correct the incomplete kilogram definition so to be able to make gravity predictions. But there is another way; namely, to directly use a more complete mass definition, something that in recent years has been introduced as collision-time and a corresponding energy called collision-length. The collision-length is quantum gravitational energy. We will clearly demonstrate that by working with mass and energy based on these new concepts, rather than kilogram and the gravitational constant, one can significantly reduce the uncertainty in most gravity predictions
Occupation du domaine : jusqu'où souffle le vent de la concurrence ?
International audienc
Les « contrats à impact social » : des finances sociales à la « finance sociale » ?
International audienc
Prohibition d'un questionnaire sur les données génétiques en droit des assurances
International audienc
Compléter les statuts mais sans y déroger : l'art délicat des actes extrastatutaires dans la SAS
International audienceNote sous Cour de cassation (com.), 12 octobre 2022, no 21-15.382 (F-B
« L’avis du Contrôleur général sur le Centre national d’évaluation de l’administration pénitentiaire », Entretien, Recueil Dalloz
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A beam model for duoskelion structures derived by asymptotic homogenization and its application to axial loading problems
International audienceDuoskelion structures have been recently introduced by Barchiesi et al. (2021) as a proof-of-concept motif for a new class of metamaterials. The properties of these periodic beam-like chiral structural elements have been investigated, up to now, by means of a discrete model formulation whose predictions are obtained by numerical methods. In this paper we select a specific scaling law for micro stiffnesses aimed at deriving, via asymptotic homogenization, an internally-constrained Cosserat one-dimensional planar continuum model as the limit of a duoskelion structure. We analyze qualitatively and quantitatively the family of equilibrium configurations of the homogenized continuum when subjected to axial loading and compare the results of the analysis with those obtained by means of the discrete model formulation