Unités/structures de recherche membres de SFERE-Provence ADEF – UR 4671 – Apprentissage, Didactique, Évaluation, Formation Le laboratoire Apprentissage, Didactique, Evaluation, Formation (ADEF) est une unité de recherche de l'université d'Aix-Marseille. Les recherches conduites visent à accroître la compréhension des systèmes d'enseignement et/ou de formation, plus particulièrement des effets des décisions politiques et de l'appréciation de leur efficacité, dans les organisations de formation professionnelle des enseignants et/ou des formateurs et au travers des interactions élève (formé) - enseignant (formateur) - savoir. ![](/sites/sfer.com/files/logo%20adef_0.gif)
BCL- Bases, Corpus, Langages (UMR 7320) BCL est un laboratoire intégrant des linguistes et des psychologues dont les recherches sont centrées sur le langage en tant que fonction cognitive : ses structures et processus, son fonctionnement et son acquisition. ![](/sites/sfer.com/files/small_logo%20BCL.png)
CAER - UR 854 - Centre Aixois d’Etudes Romanes Le domaine de recherche du CAER est celui des littératures, des civilisations, de la linguistique de l’aire culturelle romane, notamment de l’Italie, de l’Espagne, de l’Amérique Latine, du Portugal et de la Roumanie. Les activités de formation du CAER s’inscrivent dans le cadre de l’Ecole Doctorale Espaces cultures sociétés (ED 355) de l’Université d’Aix Marseille (AMU).
![](/sites/sfer.com/files/logo%20CAER_0.png) CGGG - UMR 7304 - Centre Gilles Gaston Granger Le Centre Gilles Gaston Granger est une unité mixte de recherche associant l’Université d’Aix-Marseille et le Centre national de la recherche scientifique. Il est rattaché au Département de Philosophie de l’AMU et à l’Institut des sciences humaines et sociales du CNRS (section 35 : Sciences philosophiques et philologiques, sciences de l’art). Le CGGG est intégré dans l’ensemble fonctionnel de la Maison de la recherche sur le site géographique de la Faculté de lettres d’Aix-en-Provence, mais aussi sur le site de St-charles à Marseille.
![](/sites/sfer.com/files/logo%201%20ecran%20transparent_0_0.png) I2M- UMR 7373 - Institut de Mathématique de Marseille L’Institut de Mathématiques de Marseille est une Unité Mixte de Recherche CNRS/Aix-Marseille Université/Centrale Marseille. Il compte environ cent trente enseignants-chercheurs, une trentaine de chercheurs CNRS, une quinzaine de personnels techniques et administratifs, une soixantaine de doctorants et une vingtaine de chercheurs post-doctorants. ![](/sites/sfer.com/files/I2M_0.JPG)
IREM – Institut de Recherche sur l’Enseignement des Mathématiques L’Institut de Recherche sur l’Enseignement des Mathématiques de Marseille est un service commun de l’Université d’Aix-Marseille. Il entretient des relations privilégiées avec l’UFR Sciences et notamment avec les départements de Mathématiques et d’Informatique. Il est intégré au réseau national des IREM, piloté par l’Assemblée des Directeurs d’IREM (ADIREM).
![](/sites/sfer.com/files/logo%20IREM_0.png) IREMAM – UMR 7310 – Institut de Recherche sur le Monde Arabe et Musulman L’Institut de Recherches et d’Études sur le Monde Arabe et Musulman (IREMAM) est une « unité mixte de recherche » qui associe le CNRS, l’Université d’Aix-Marseille et l’Institut d’études politiques d’Aix-en-Provence. Elle est installée au sein de la Maison Méditerranéenne des Sciences de l’Homme.
![](/sites/sfer.com/files/Logo%20IREMAM_0.png) ISM -UMR 7287 - Institut des Sciences du Mouvement L’Institut des Sciences du Mouvement Etienne-Jules Marey est une UMR associant Aix-Marseille Université et le CNRS au travers de l’Institut des Sciences Biologiques (INSB), Institut de rattachement principal et des Instituts secondaires. Les thèmes de recherche de l’Institut portent sur les déterminants mécaniques, physiologiques, neurologiques, psychologiques et sociologiques de la motricité des êtres vivants, l’Homme en particulier. L’institut est composé de sept équipes scientifiques.
![](/sites/sfer.com/files/Logo_ISM_0.jpg) LESA – EA 3274 – Laboratoire d’Etudes en Sciences des Arts Le Laboratoire d’Etudes en Sciences des Arts (LESA) regroupe l’ensemble des secteurs artistiques d’Aix-Marseille Université.
![](/sites/sfer.com/files/Logo-LESA_0.png) LEST - UMR 7317-Laboratoire d'Economie et de Sociologie du Travail Le LEST est une unité mixte de recherche du CNRS et de l’Université d’Aix-Marseille. A l’origine, le LEST était une unité propre de recherche du CNRS. Il a été créé en 1969 en vue de renforcer la recherche fondamentale française intéressant le travail et son évolution. Il a toujours pour ambition de contribuer au développement de la recherche en sciences humaines et sociales sur le travail, l’emploi, la formation et l’innovation.
![](/sites/sfer.com/files/Logo%20LEST_0.png) LIA UPR 4128 - Laboratoire d'informatique d'Avignon le Laboratoire Informatique d’Avignon (LIA) est un laboratoire rattaché à l'UFR STS de l'Université d'Avignon et des Pays de Vaucluse. Equipe d'accueil EA 4128 reconnue par le Ministère, il a obtenu une appréciation A+ en 2012. Le LIA est membre du LABEX « Brain and Langage Research Institute ». Il est également membre fondateur de l’institut Carnot « Cognition » et de l’institut Convergences « Institut Langage, Communication and Brain ».
![](/sites/sfer.com/files/LOGO%20lia.PNG) LIEU – UR 889 – Laboratoire Interdisciplinaire Environnement Urbanisme L’Unité de Recherche 889 est issue de la fusion du CIRTA et du CEJU. Depuis 2019, le LIEU est membre fondateur de l’Institut Méditerranéen pour la Transition Environnementale (ITEM), regroupant 14 unités de recherche d’AMU. Le LIEU a pour objectif d’animer la recherche de l’Institut en conservant son optique résolument interdisciplinaire. 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)
LINE-Laboratoire d'innovation et numérique pour l'éducation Le programme scientifique du Laboratoire d'Innovation et Numérique pour l'Education (#LINE) s’inscrit dans les objectifs de la Loi de Refondation de l’Ecole du MENSR par le biais de l’innovation pédagogique et l’usage du numérique comme levier pour l’étude et l’amélioration des pratiques éducatives. Le programme s’articule autour de deux axes principaux : l’innovation pédagogique et les usages créatifs du numérique.
![](/sites/sfer.com/files/logo%20LINE.PNG) LIRISS - Laboratoire Interdisciplinaire de Recherche en Interventions Sociales et Société Le Laboratoire Interdisciplinaire de Recherche en Interventions Sociales et Société (LIRISS) a été créé en 2016 pour assurer les liens entre formation pratique et recherche en France et en Méditerranée. 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)
LIS – UMR 7020 – Laboratoire d'Informatique et des Systèmes Le LIS Laboratoire d’Informatique et des Systèmes est une nouvelle structure issue de la fusion de deux UMR le Laboratoire d’Informatique Fondamentale de Marseille (LIF) UMR 7279 et le Laboratoire des Sciences de l’Information et des Systèmes (LSIS) UMR 7296.
![](data:image/png;base64,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)
LMA - UMR 7031- Laboratoire de Mécanique Acoustique Le LMA est une Unité Mixte de Recherche du CNRS (UMR 7031) rattachée principalement à l’Institut des Sciences de l’Ingénierie et des Systèmes (INSIS) et sous les tutelles d'Aix-Marseille Université (AMU), du CNRS et de Centrale Marseille. Il a pour objectif d’assurer le continuum Recherche fondamentale-Ingénierie-Technologie dans ses domaines d’expertise : l’Acoustique et la Mécanique des Solides.
![](/sites/sfer.com/files/Logo%20LMA_0.png) CRPN - UMR 7077 - Centre de Recherche en Psychologie et Neurosciences Le Centre de Recherche en Psychologie et Neurosciences (UMR 7077), est une unité mixte de recherche d'Aix-Marseille Université et du CNRS. LPL – UMR 7309 – Laboratoire Parole et Langage Le Laboratoire Parole et Langage (LPL) est une unité de recherche d'Aix-Marseille Université associée au CNRS créée en 1972.
![](/sites/sfer.com/files/Logo_LPL_0.jpg) LPS – UR 849 - Laboratoire de Psychologie Sociale Le Laboratoire de Psychologie Sociale (LPS) de l’Université d’Aix-Marseille est une unité de recherche historique dans le paysage de la psychologie sociale avec un positionnement original et reconnu aux niveaux national et international.
![](/sites/sfer.com/files/LPS.PNG) MAP - Modèles et simulations pour l’Architecture et le Patrimoine (UPR 2002) Associant architectes, ingénieurs, historiens, informaticiens et scientifiques de la conservation, les travaux de l’UMR MAP se concentrent autour du développement et de la mise en œuvre de méthodes et d’outils relevant des nouvelles technologies de l’information et de la communication, dans leurs applications tant aux sciences humaines qu’aux sciences pour l’ingénieur et portant sur l’architecture et le patrimoine. 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)
MESOPOLHIS - Centre méditerranéen de sociologie, de science politique et d’histoire (UMR 7064)
Le centre méditerranéen de sociologie science politique et histoire (UMR 7064) est né de la fusion en janvier 2021 du LAMES (UMR 7305 Aix-Marseille Univ-CNRS) et du CHERPA (EA 4261, Sciences Po Aix). Ce laboratoire pluridisciplinaire regroupe notamment des sociologues, des politistes et des historiens travaillant autour de plusieurs axes thématiques et transversaux. Son axe 1, intitulé "Socialisation, éducation et culture", s'intéresse notamment aux questions d'éducation et de formation. 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7zBzZ69Kit2t+zRw/NE/e1Bx96yC6/8mofeVvJSDR1+ky79/4H7MRKhEe+YjvpJtsXH6cI4KySAeuNNyZpatFGNoLNtkg08RMNLrS9MDDgEIIZnckLExU+i4ZznFP4oorPUTjZsZrWq1fXVYo2Uk07S2oSUAMIEGGTUmKHWQfIaoo6C5ExmSX06tnTiQt1BNUEhGRDUw2FxRiRNDRsF1lUD5VKduHojvb+EZ3s+dHt7K49Wttl/ZvbJX2b2fVDWthTo9vbFaM6uPsT9cdARMBi2EDzOoTLhwsXufTjHlWQ+vGjrvyC6TxjkX/PPPusLZfqiKUOVQh17uyzznQcZGEAJ56Zu/zw+2e4irhihdqtaiEcHn38CS8hhF654iSjwBV1JGTrGDjdY8QI66QRFsMUVkgYjfkpAaLDWnn/Q49o/tlBddlicyQQf3DGd10joMyoX7auaDdHf+5z9o1Tvmbvae64WSrxbiLIu++9z+eowCV9dQZ6CRU8ZyGXRlPaF3GN+lEmczrwV5UQ9QZHyyTomJ9vEg1jQOrfr6+DDJqIsrkSdlQYVPvI6LXQvyzqGW1ctcxUEOmSDSE96PBAANdYdoi4bB7u10rfXKgRcPlaMYfS19Xo0EIjXatGda1RKafK9uTW1G1ZVLPIYx5AnREeu3bpZE+Pfcatmm00qhcG6kYHkD9gEMf9Ks0nX3r5FZeo4AR17xeysjFPg0EK5z2Rn3cIqxNP+Kr98Kwfa57SzEeqV8ZNcBUo5nmFdck+B6y48g78YkCDGQPXWdxOnDjR2wyDfSB19SCN0AdpRCSAX/JECLi0nfgjjzjcXnzpZddimEOi2k+WwaOjDEvVHcAldEU/EQrxmI3zpQ/15ccJzL8ZXJiy1JHhaL3mi2OfecaFELgqDMGQWXwVpil83mnMWL6g3GJwNq5QUAWq1N/lRpqIz+YlDWHCvNX2s3GL7RX5Ei6VuukSQLTSTiPmQU3q2AEdGto+Wtro3a6hRr4yIiJvDgayNdepIQyCsLpKjWQ0w6jCHOt1qShnn/NTG3Xg/tanV29XnVG3YRikZRBmMGFcFy5aaDM1d24nVXO15hk9S7rZ4EEDqUI5wvaIzL/oRLSDPaSaTp023Y1fWDZRe4syo5C6WUzs640F8KN+rPWyzIR1lHkPVs0GmhcSsLZOeXeqNccSKFiLFi+1g0aN8rYFXjxhwT/qynvgjDlotP32D3901ZqlrHemvGsHHzym0rYWgNvmY+CW6wxNh1gTRGhGGwMAVvn6Ypw5Mio1atQwP4rG++25BkyW1lj7fUPChXZiiLzq2htswqsTba+Re/rUAEFNXaCJ6D/qSAg4FZUJP3xCzFjIeltXadspyvIEg85ctt4eWbzBxrSUOiwLLOzGeMsyxzMy4ty6ZIXZ2yvsWK03fn7XxjZQzNmxWX0fOXFkyLFhGVzuAmmoc4yIrLM1a6ZRqXVLScX1dv2Nt/j6JyMVpvKuWjzOOTAMsV69e+YJN6AukbrL6Nhxl/a2QiPFYM0vgbetQD3oSKR67149bbyWiZiv0LcwOCHqGrBgCAhh0aLF7kzAkoMS+WuYFMPZTbfeZi2lJrMkgYWbNT6EDWHNmtXO6I01XWCu2K5ta1/Q95fb+a+kpJsb5bB6wgALPlzganOx0WM7QW6VDI3Fpy5S+c/7xa/ckFKIi8gEDlluaC6cg4MdDcAFr5T3mUMPsVv/da/tv9eeyCrv03enTZPF/WXvF/CFpb2Hlun69evn83acVwjUo6I6egL9+4SYMYqrnmswrquhenhC3jesN+aD5n2tZCU9UKMjU8AHtfRxx8Rlaq3YVR35wMg2dkRvOREoS9aWQ/5APqPeuT85x879xS9t5qz3nPEai7h69+zho+lGzcuYRzBisviLJDzskDGuVrJ+GHO0MKkzwsIcLVq0zEvNbXVOtAevDhwMoACMNCu1vLJ10Fql0mDseWrsWLvvwYeCD71NqFfMV3fV3J0RCwspzwdrJIuA6Z95OSMrIw0m/Fgv2966NqjfQJ45GoVEwKzdgSNgVSczRn1pIAKxlnCfU4vyb3I36l/qTfm0NY+QgmTbeoy2j9xzT7vgZ+fY7y6+xDqpXLyZ2opOWNpBQNDXLG28N3aOW+KhgxOO/y9X38Fp5Qy5E6yp22pYdbwPtluj+WLvZnXthyWNrbNc3+oK8SvlKTR9+QYbr4X8O5fJkCEk9dYcsrPSNRQxP6Sljo2sa1QSYCwQ108T9EsvudgefvgRe+a5523GrNnq1LXGyMFogutae3UE1l6Y79EnnrQpUsv+91cXaCmnjZcArJxRKDff8tGqkrKLvYLJ8oSkeoUaWj5trk25kaBh6ehLnBot8YEwYP5N/efJawRjxO/+95fWrVs3Zxyvp96zPLJRhMscCaNZGINUbL4K5cst/4SjRqiMuTm8BKIzS/l0H++prK3vyitqtZYTEFK0PRtyjLjJ2rSSy6LUcSXIvt7ue+AEIx3zxS9Yb627PiQjF9oKUxDeQQ9NtY7LCIyBjnVd8HDuL3/jRrJTTzlZ+KMvKgrq14pe/TvHx2h24G5NbXyP5lovRDKWD6vFlL9Yss6e07LGzXNW21OsN4ILjaL42eYC1+IIig7Aqvm1k07URP0o9zLBH3HevPfdceFdLfi+LeZjIR3voO6yEL+tORdWRJBPYF0UTxE6B19ODDgsFhMXHewJi/yLzsNrhtGG9Kh/zFcI0YpcVtqRY3g8gj6Y/2Epgebe8h+vHwwro7UG+Tm1B3/abB1oA/OembNmWWPNfebM+0DeT0vcKyVXWnFclZWgZSylX631Y9Q6vFSYa1X3qMhI6COvBMcPz/iOM4BrIhlip6YIA4xV+BTfLfe1VvIZrWoIeuA6aOBAG6jlp/kSanPfn2sLFy7yMvBCeuudKbI1rHCnDYTffiNHuNMGS1JDtB5JvSsSTp9KZgyEttNoSEDgZfrBnzHYDGjfyH9fHrTJpi9eZ9PFnOM/XGvtS882wRq3rUAngzwm5vwG2gDPAlJZH50mg8iNN9/qyx+kw3Nm/IRX7UvHfNEJEc+MdvqhFjKSYgDAk6Nbt93KMUJhPaLTFmvpYfyrrzkT4QWE9EVAeKDh+ZCbRy1Zssz20+L8PnvtpbkUSxy5VtaSBGvWtJk8ejr4aE62LCPyDDN20xrlpMlvuUcJbWe9FZe57Q1sCEBwQLQrpPKWdOvm+Iv2bC+c4uly/QWRAw/jDJbecHwvnkeOVxIu1910s0bInBCrKN224mkT5YI3hA1OGPwioKayJPbKK+Pspltu9aU6VH+Md68JLzAjMCoKn2pmjEbRvnVSPSFNRs36MXSWJmghp3Gcxfl9KTLpSj7yQNMFWfKECtKjAyIrCIXxWok599hjD41UbdwFjF0cqEvMu1g6YFRAXR0ko80LmuR3QFVSiQ89/LB965unV0iklBedxpLKAjk7dBeTwPx9e/XKG1UiTdSLui6Ry2F3jXgjZeGrLFBGVkLH86BBg+T5dIer3cwv77z7bjH3Ps7EIZiy5UKY5KVsX6N84CH33EFFQ8Ud0L/MyX3r+tABOYHCBVjFQpnQyPUxaZTT0+PFBTNSt2y9SEO9UOnpC9TujxOiDoGzwvKIx9jGMg5aFL67f7vin9ZTxhzcO5kWEArrGHWi5Z9qZlyg9cWnZq60d5aut+nyrlkv9bOZ1ha7N65jPVvWt/5a0ujepkH5ZQ06PTDgyMkxZSYqz4gva32wq5ggu05Gp5CfhWTuIcJGYsIckiHMLb72VV+GDALvcSG778FHfKLPZP9uubbtJpX2iMMPK8cQhR3+onZ1XC2vG0ZbAv6mJ371+LxzxFYdq4pRHluMCIUEQxx5+AVREUcIWCy79OvT25c9GCnZOnXpZZfbj+SBg0EnQtSVfJSJd9RfL/2b1w0GQHDstccIeQv18SwBP/KrROFPAkHCi4AQqyhEXsrhPvqPMT/awTXSBZx45l0FfB5JK71GWxGy7ELaW1pHVvXmPYzvQfdYqhs1auzCiDrkpigNS19XbFX9VDIjUz667lnNB49/frGZdm00k6hsot98emqB/m2WxVHLF8e2kneIljX21KjYRQyK+opUjQADz5PBB4eA+kofI8R78i/87pn/bbsPGWhfOPpoGzZ0iPbdtXOi8fxCMoEdJTdJBWL3BrsYVq/+SBbXnr6vLcrYfdgwO+SgA23c+FddrcGr/y9/+7u9r604hx/2GWf2IDTKX6T9cfjm3nDzLW4d5d1Hy1doh0BvO2D//R2sE2UxClNclgjjPupS0ZV0lM2yywnHf9nOPOdnNlwO7bi2TZo82X7xy1+5a1vfPn2c4QIuBPrmm5O15nadLZUlEW2Ad7PnzpO72Fk+WgA30ufLVz1jEd2tnRq9grHyaUpvIHZwwAjH8gSwgiEL02afg4m2J202X/YeGBGeevppO+q4b9j/nvsDO+SQg7Xk1Cvf3mz73n77Hbv9zrvcco3QZg7fo0d3BxN1Cpj5q4r5hJixrEH5wuOGV5kGR3T5ay5/QAlm8qUNMeJ+MuC8KAfxFRJOncSlnXW6VzMxFqsdz/iyhlSEScvt2BZ1bXCLetZeIyc7PlbKUeAVOZTPk4fevXKXgxkhCFSfa6673vpoGYN52oUXXSxrXFttdh4on9Kurp5iNWTxHfWT3SgYPtjjN+O9ufajH/7AiSeIkJHitFO/bpPVSagrqLeMdv+65z57UJba3cXojL50KBtVJ2q5BCbftUvnvJo1X4aj8+W5k3OUz6mYWUJxNILK8ojboacgqP33389OO+Uku+aGm2yoVGxM9LT1LDHoED33FGHhuggj4iQwWUYL3OeYUzPCjX/tdfvR979rQ9UuAjgNXHgF1U4stWz5uuOuf8mv9WEfJRktKwx6RXvZDcTeQVTgMqW1wlzlXgSOykVmHpwMlSgLlzKp/7Tp0+3a62+yb339S/aq/HkfffJpOX/0dJe4TvJPxlURwxWq+nMvvKT13sbWrDSOHRwIZELgOFOs31LmTmNGGgARItG4bh20+5z3ImCGfEzvhYGKYw0DBlc9egiCWw23idnqtK9vJzappxP2RMxiyglSWcetlPVUoZt2ZIxuqo3ASoojwB2+3KEXAGFLiq4naQtVbs5IZC1fHL/9ngesV0lXGTVa2wCpWmy9eXXi6zb22eedkJTQlzhgUnw9WSR/4ZUJ9u1vnGJ7aVGYAA4IEOIuIrwLf/1LO++CX2mJ5D3rKkYrkQoMUb4+6U178eVxTmwslMOsGBsgOCypEMSf/nCh9ZH6GMThgEv/gSc2/DI3wT2sog7P5il2Tz7gcz1ZTvssw1xzwy3WT84MrKnxw5qMFxBWXfoPB4K+vXp6vuUaAaZMnW7f+9b/s+OOxVU/x0DZ+mBI8rqqT/FkYbRDFa6EDctVFVqhndSTnfvbE4CNJTmHH/kbF6U1cws3SzvgMPou6j5u/Hgbq03Hh+w70vuG+T/1fkKbrlfJqZ7RHTrNOYO08/ysB0+eMtUu1/JYRRugs/XfvtZkc2znPUjGwZpGsa0E5GUD84UFeo+Jfy7mfm3HyYWydBDjLJmLmWfN1l5HdG9CMGWPVvXthcN3sX6ymnK6F1uf1inNynWbbY42DY+bt8bueH+NPbE855zeSlumdhdzNlY6YMAqY+XTOnWtHL692BwxctTHfbffrN3c99lYrS8u0XanFlLfsIa2lHkcpMPF7HRnf+McqWR4efzsv3+oHRCfF2GVETX1BQcwJPPEi35/od1++52+KA+DowayCM9WKYgG6xudzJ5PcHbwQaPsK1Ibu3Tu7M9BHMCNwNxw8rQZ7qEzZcYsX3yOdzt6BT7lIvy+/c1vShXrLWvxLfbOu9N8CQFXOTbV+okLwjWL+nNUV1Qx9j3++Q+/tX332ceLBU5hfVnumDxNLmxiYl8fFG5g0G2GnJzM4wDrNCp1IV0Vg4Mf9MzZc93Qg+bCWmthgLYmTxUOZfmc/t4ct35n03zpmGNcK7rn3vtdc0EY0XcIThjT+1jtZVsdBje8m3r16G5XXnqJ7b77sHy9szCz92CgWpkxi3j8+MaMOsARgNTITnipBM+8hxBLunWTypIzUvAu4LAscMxRR/oZKWxLCbetcB7fvWPOjYs8EZgT8mP5YnjnJnb84E3GadEvizHHyRHgdY2ar7q3zhbrLLX0kKZ17TjNKXPucYIClyqUlHTTZt4z7Itf+Ly9LTWMXe+ckQJj5s47qe3LDAMH9PM1J9aROPeEUIwIgyFRZ795+ml2qLx1WAZgE+/7Ws+DmMmHukMnspxAJ/bRHC1M+cAoFiDK00/6ikvfPr17+yhcLN32xgVDcj1EfqW0jT2bbLfCG4m5ISM6IwgOD/hmDtOWrcGDB5U6G2yNg3yfKv3pJx3vQg2CzmEb0VYWsnHc5/hQc1oJcIQatMPOiXpoA7qvKESZ0M2Xj/m8hElzGyjrLi6MhQE3QnDIDiN2Y3Tp0tmTBC7Q7vbZe2/1ye42Q44Gb73ztk2VFjBPy1S4TKIZMQdGVR8yZLDvUUU15TycYvRQWD7PFZ6Bw3zqhIfn2cM68GmQHK8XaBG9izxZHjysk7XUVXQTdFsMriOtVJj5+0JCooIsyjqyuarji6YR8h0hggJRBoIBCnxvqKCU8lCuU/UCHZwRKuJJz/LH8nWbjO8qUHYDMW0rHV4F8xYGOr2wPoz27PNbzyguwMyb6OhQw6kLIVvHQriFHYOgYiRkngpSsWAyL8wKr2J1KYQbz1Qh2+aIr8q1WHuYJ/LDKwji43AxPJIi7EhdPQ8oK+O4XKcGNwbQ0mu2PtXZzigmqhLP2Stl88vSBKPp2rVrfAMAggWNCXqAsSNgXY9teRFX7Ip2U60jY7aQbKWz8XEPwaJWVhY8jauExVORu5DwHaL+wYgEOi2QzOiHo0C7ggG1WMdS/+j86AQYhV9hKNZRhWniOeoL0XIPI6P68suGgEmabeEym28bKM0m3eZ91DXqQj0gtCyxBZBoz47U1fPmuinHkETEcwDOXKM+nqySdJksO3RbGUjK5he44B5j1bbxURnU8tXbacxYvpiae4I4Ax0wJZzp19Iq+ftIUFDN6Py40hGFgXfxK3xX2XOWaAvhBrwotzI4n8S7qA9lRV3BRKCN99n2fBJ1qqkysrigDoGPbH2qio//88xYDkk8ZJgz+2577kHyzgg7C+7OrOvOwcTOqPHOhVmdfbf1ZGnn1j1B30EMFJO8OwgiJf+UYGCnMiOElCWmeC6MK8RVNl2kLYsrS10Wt7X6GPkidTxnrxhkCBXByaYtTFP4nIXjQEv/RbpsXKTNxkVZhXFIXpY7cEKOfIUwi+XNwkn3nw4M7DRmhEAgJH5BLPHMNUL2PhtXmLbsuUxPL4srg5eFEfdco5y43nf//e7tEmkCFs/Z+vIc7+JaGMczIfs+C4P4eM6lLKtPRc8BD+vtHTqtDYaMuGw5Eecv079PNQZ2ypwRwoNgWH9h9OG8FgILtSzkY3nDKoklEdM+3u4E3mEIIA9jHfcsrLMbAjPyOi3W1pfXBu5QBNJBpJRHXMABJqbiONuFtDGykIZ1MtYEWWgnLXVlaYEr1jGuwKQ+mKs5u4YrdcI3kl0CrCtt1BYl4jBnkx7nBszYAYP87DBnSSZrgczBpt25NTLwQdqoL21CvIAftlANGzbUdx3QJtICM853YXG+XN5SHOYcEwQkhU8NBuqcr1BYW9GOrdea3F3TVtg0uZd10JLAKq2XNNd63Fd7NrOGpetypCsMEBrEzCHA//rXPX7lQFcWr6+59jp7RW5F7PfDc4G1mR/rkCfOnoQ5H37kUQfHe87hfEl+n/j6sbB8z7332qva18eJXKxrsY/s0sv+bpMnv+3wcNXy3dyCQLrf/u73cqrezwkcRvz5+Rc4Q3Xp0tnzrdMxFGOffdZKunWzd7Wgf811N/gGUQ4QHjigvzPvLTovhjNM8B99/IknfZ8a7mCUdc111/mHfMaNG68jJXvY+PET3Dn4nXfe8c25bD59QAcRP6S8kyZNdqdwdogjYDgN4MLf/8G3JiEcOAj57J/81Mtl0fhpOYkjhNhEe8WV/3RXvBe0g6Nvn74Oj4OHX3/jjbwA4vS4kdrKxfrko489Lgxs8a1bsdxQ2Efp+d8PA/BNtY6MwYg0FaL4qty42srJ+Oprrs0tjGqh+JSvfS2/o4EvTzGyjJ8wwQ4eM8a/VsWWmqM+e6R/r+AtOVZzgvZKeafghHvGd77tZ4z86U+X6OiD3r4w/v9OO9XPWqFMiA9iZwRZpl0OM2bMdG8IdmDjooQHPaMIIw6naJOWQPl4mrBv71o5iL+m4wqHy9OCQ5TZhXCSjkt8QGfK4LpHPdltgTA59euneH7+zV8wX9/D+JK883vYT8/9uX8AhhHsuC8d6wx/zk//x/bccw93a5sup2Nc63A+ZsMpdUIYcaRjNwkHRnw//l5XDjv+SumJ35TDjg78RvHkIeAVxMiM7yR4Y0Ee5/YUPl0YcE1wZ1QZ4mK3N6oZhP/1U072EYqvNbE1iSPhScPvuGOP8c/AQUTZU9Pq1sWxNycrULlgMIh4mo662GefvZ0xyD9r5iyHBwEHcyEUjv7sEf4ZMNo3e85suZ8dxETN00Css+TW9Z7OLyHg7cLhSQT233F0BKM78VwJeJtwCDGBtKtWr3L4MAMBFZNTz4GJS1rbtrnPnM2ZM8dHyn6Cy8iNt82KVSvd3xQNgIBHz2e0JYfA59LC55JylkuosGOC4wYJ1AkczlFZObV/o332yMPcRY8dDZzBgvdRCp8uDEBl1ToyFjYfBiLE/AV1kVEIpuFTZzANxNNa23LGSc3D2Zq5ECH8ELmHISA8fCPf0A4HvseBesec9KWXX/b3jGzhHQNjcqzFPPl88j1A5oOoo2yAra09h8uXf+T5gI26S32YOxJcPZRXP3XjF4FRlx8B9XGhjkNk8y914yiLOtpB8LZUVM4lZaSifggLVNK3pPrCYMS9M2WKRtVWvhfuX/oSFO1C6ABnT23G5cgGRmPKpl4z35tlzz3/vPww62l3iPx3lQ5c4YrHyW7kAy77LV+RygysbL2j/un6b44BkdpOYUYIBEaESAjvvKOv8nTp4i5fqJ0x4sEoEOyIEcPtWs0n+VRXL23YJGD0CCaGCXAX42QujpO4Rwc+cSgQ25KyH4KhTB9FNQIzf+rSpbPP9ZirwfQL9CUnjkPgQ5nshIgAA7Jb34NEFFKKNsRoSTyMwY+Ak3I/zYH5HkgEjEufPfIId0K+4Ne/drWc0ZJzSTtrx8XPz/+Fq598DPaFF1/U/Ro/4BdVmB30aAYcl/GymBGjDSozuzr22XsvO/aLX4xiMPVqk+9X3ahF5LvvTnVjEud0MtKyFa2LnOpT+HRhALGfo65qqjcEjFSG2VBRMTJw4vNf/vY3BLpvmMWwQxzzQAKbbWGgEhHiaef8PM+oqJJxPigw2cAL47KH7iPdY8lkpOPLSsDDQhrMyxmh7MXr0b2HmPUbbjnFGkuZ1BFVcto0qbw6gJbRmlF4xoyZrgo+9viT1kcqJSMl22BilGG09bM3S3FFmZyiBgysn9SN3RwEzjhFHSUPuzEI4ATGQ9U+/bTTXDM4Vd+mePbZ57wOgQ8+WMOcMMZkRlbmqMwvqStz50lvTvIvHYE76od6SkAVPlEfIuXEgRQ+fRiodmsqKIDgS0q6+YlYHGd44leOl0W0nQhHexg1GkKULA8wh+LKoU3cjxjQR5bJXqXq5ha3Wu4iFZCAWsanyBhtQmVj5H1fxyZCrK7ulho1KJ+RFEvoqFH75T4IKvImTQeNptqqor2UH/qnt9vIwMTSy3xt4l28eJGNPvAA1b3EmZGT2BjRfYQUTLZ0sUmUEZJRmE+nMdLt0mEX3zqDUYURmaUY0jaTkYZd8ggm1FQO+O2kQ5569erpzAlOYHrStCi1BrfScsteGg1LupW4kYdlFUZ06sdIzyjK/JE2I5j4hiM4BFZrlbn3XsPdiEQcAVyk8O+PAd/BJMkaQthrzBP993G2UAGykAiKxQWKCt9ln7P3kb6y646mLwarEEb2OXu/PXlJU5iHZ36h9gacwnQRvz3Xj5N3e+CnNDsXAyzz7bQ5I8SRDTAncRGfZdbsO4wj8Uz+SJcltrgvhEfawryx3JEtNwwxhfCjvsEkUU4hTNI5DKRWKVNl4Ue+wriAH/XkOZuWeAKwI03ck456cc3C9Qz6VyxvvEvXTwcGdgozRtOLEU32XRB9xEFQuW/plTFVEF8QWzxHniDQeJ8lXuJ4jwqAQShCpM0+Exf1BQb5Is6vJC5lBJ7zdc/AjbrxnsAVWAE3n8dBialIU3rvZQC/NJ8uHogPeMAiRFy0NfLyjjKiHlyzz7wnZOsRMIkPuFFfroVxPBOyaTyi9F+8j2vUMepCsmx/xOZb3gfMKDPgRjzPATf7Lvs+2htpAz7PpCN/pOe+sH5ZfJAn4EVe4orBIJ6QTZ+LKY/viCt23WnMSIX5RYjGZOMK3/Ec7yN9sbhIw7tsOu6D0LJpsoyYTU9+QsRFHq6FcQ6jSHuK5c/GRX2Ii5CHHRG6FovjdbZOcR/ZAnbkJT57H+m5xn3kjWvAiOdi+bNxcR/w4hr5C68BP5su2x+xC5732TRZOBXFF9aFPBEX+QM+zwEnrqQtrF88R/7IF3l4zgoTngvzkDabnjTbE3YaM+JixgK2UJB38+IYwqlah0P6YIgZNnSoGzKoOGmf19ec2uhAoL1GjvRlEeI4SBhjxN57jfQr5n7iMP+TjnVC1u4w7mAkmSrrJmuRXWV42UPrdviQzpw5w5dMQBplsajPRz3r67v0e+890o0uGFLwYmGBvV+/vm70wUrJ59V69OjuZ9UscyvuRute0l3LI12840EyMFnTxMLK0gnvMbZgTaUuWFqJx9smzhXFKvrcczppTu1hGQM3OL7RwNol6feTiyBGKM7g7NOntxtwcvA3u8GrZ4+e9rrOpeHwLIxGfDKA9rHmOUtWXlwCdxFuOLeFdnDWDqMEzguczYLzAMTIGuiSpXyluYEN0hk2OGtwTCTrtxiu9pYxKfDaoX0HNyrR5hkzZvoHXjAmsSxDf3LtryUWLMgcPYnRjU9v0ycsL7EcxTch5yoPjhGUz9lCfIocLym+WwFtUA5t5j24Jf1Lr4zz82twyvAJUOk7DILT5Mm1aZM+aqslq5Ju3bz8eTJwcQ4T9aMs1nNnyVmCezy/MMS10ndHsFZzvs+AAf29z3FrhNkwjq2UcwaeWFjpxz7zrNeHA4zJ555PTZo6Pl597TXvxyaNm/i5RfTjZJ01u0X4RvUZNnSYcJH7VgrtqShU69IGyIvAKVpYAtUCP5Ga+OlaTnj+hRfdqhlrjcSTDpc5EPLuu1PdlQ5Yl/7tMi1PdBeR1bKb9e0Cwv3abbFUxMNHRP/4pz97592rj5qwrLBQzHuTTjLbS25nE0SM+HPCBBwom/vuRM5hHH/PLrJqNmzUQD6m1zvcRx59zI9o5LuMv/39RX5EIksHjzz2mL+/885/qUPXu19snILNi2gzzgyxoH/Z5Ve4sKBdt995p/I0dOGSPY7y9tvvEBPJyipG+qvaSbhFbcTiC3Nd8Y8r3WJLfiy3LPSzXhvOA6vlAXTyt86wZ8XQBJaR3pM3EGXSvuHDd/f2T9DaIwTL58dxwYPIIgD3pltu0aMOHZan0N333OPtufKqq1zINZYVOPDzmNwbP5QFOsLjTzwhATTPiRqCf+iRR/OChv5gaQpBQjwC4ZFHHvPlpLVypr9TZ6USwB3npiKQnh471q3sfA8kTheHcHHYuOyKf9hQCbK79KkBjq6EnEOdpN0IJdwur7r6Wj9KEoGPkGEp6pbbbveyWGq6S77ShEcefdSXwvAzvv/BB/2E8Ouuv9EFJ8IM/+Kn5QMNw1LO9Tfe6AzIu79fcYXDgL7w7MLx5Gb5MLMi8Oxzz8nxYpzj+8677vb+zXpxecZK/pX1TCWJtvdVluvx3YSwMdXjlYLkxkOGD7IMFmKzgc5gmQDGg8lAOG5kLDkg+XvKERtna9IhQU884QQhqpWdcrLW49ShjDYcpz99xnTjG3osso8ZM9pH0N2HDXWk5sRp7itJLIkM0XoeAeFAh+PMzscwO2mE/cOFv/FT2ljHjCPtWUIYdeCBLhjIR7m0N5iREWcPOS8MGjTQ24JQoe4cUDxMI1GEyMfSxIFaRumm4xuR6ByHz8jCSERgSQcLG8sllMOZnwfoMwGcYk0AXz876/su+RlJOfkMB3rww+jBsZA4ByDIYMYDNNIO1nc0sgHR2VFePTjqo3H8+c9/8fzgB62FMHbsM87gEFt2/ZLlGkZDTlqDYHEVjDzEI2ynTZ+mLxmPcsbmEweslaLhoAVEgE5oH6Mop6XHh2QCT8SP0Oi0eMliPyoRYZQNjFojhg/3EfmzRx7ujAndcboe+IzNA+zqYUQjIARpY259dovWoXe1c84+y5kXLyc0qjlz5jq+3C9a29jQwgiPSagh+Dn1DUaj7XxZGo0A4YarZ+tWrd05JUvn0R4HUuQfAqZSZiwb54rk3kYUfqhIaZiRjkMto5Nu0948JCmS7OAxBzkx0zk4Q//gzLPs6yd/zbcMsaAeHytBwrHdyNUHIRGVgwACCDAppg8aFMyB2klHgSxGR3+p93R8jA7kqydVlTx0DudrTpr0ph+/x9eNcAYAwQRUL3ZqkHeUvGpQgYAdARhIfQIdT9spf7w+M82IiAqJh06s/50kgXLxJZfYQYJ15BFHuEBQQm8beIKhwpkAmNTvNp23WiI3P9Q91lARFN1203ruxNf9i0zUnzNIg2niq7mMAOw6Wbhwkau+HE3vKruQAsHeplEaR4h95fPLSdjRZpwn6krIEGhrzrzkjzm8qs0EhBnMTCAvuPDvaMj5YLOcLTxefUCZvAv4kZ4r726+9VZnnuE6ohKPIsoknl0yMAM+uThNsPUNAeZBVWA6QEDYs4YNzRFgpBkzZmpEvNtHQuoZgf5Bde7cqbP9z3nn2xnf/nbO3VAJoK+gMepKfyDwEDAIXRfCqhttgyHHT3hNfV3XParOOvMHLthfkJDHGIkw4RMOWU0w6lB4rZQZtXPKmuunb8lYA6RzYe5KniFAKk0AoTAWOxH4sApMGIRMGhgXacbc4c9/udTT8xHSCEz4HZZ3vibddXLaNQxHI4FPgDRgAAIESR7/wYmlkgViiPS592UMrNS+XevaG2700Zj5UwTmVPvpcF4kMx/DJAAn2gG3ex2JV/04KZ137LqAeem4+BgO8V26dLbf/OqXUoFucmZgxwXwom6koTPxpSVs3LjJ9tTIO1QjPR28SoQGszDy3yUfVz4xHgIi8IOqCPGwBxPBNeag0c4IUU+QAqH16NHd561oBTgXQGAERlVO3wZ1ZXn8VSlec/de79K+zuGUfgcfeB6V9of6BQYF/0GYpKW/iOOHVsN2tAaleAcuah8aCsKZnUDkQYPJB5URdSN9XTFFBIQ3AomRf5FsDGw9I2SnC7g0Mm/9/UV/tO+d8Z38marlDD/KA+xoG3XVgws+mBU/6MP1ESPmw5yjipbQvXuJjR41SvjODQpe8Db+5ai4SCI6gI/CLNS+Rr4QvJQrE9JKgley9D2VoKMJNBZpxR5C1C9GRVTQSP+edlBcd/0NnuZrJ56g0eRVz4uLG4F0TIqRfBAYn/AmXKV5Jjo7xEMaRmAMOwRUCScSIRGEBQFQJ76hRyAe6QlxI13ZiYG/6z5SpXhHyDObOr2kpFtuLiWDEvEIgwiMvjGKvCOjQBt9Jo40jF60uZO+rRGEiYT+++VX+GiHJjDpzZwKHvAYsa+6+hqXxqJpD8x58TlF7WKeCaHR+dQdVfFmfcaNQ30xSjECEt7QfIp5M/GomeCdeU8QL70JeEZaGJEAfsAdAZxSBqMy5Wd9dcGPXufT5fGkGNpBGQiw+fIeImD8aqcPB1FfpgQE0oF/ymQkQl2ELsBZwMPYguBCne/Zs6fmvk/m6woM0iH4CFPl7cUoGgEByOYDvJPAUdAboxy+yBjsnnn2WTfqsPeVOS6BfBi7CNAWU4gIy+QiSX2hbwLlszGAOjOFwCOLwYXRm3240FPgO2BUdC0TIwUp6KSGOry4Y30dzFqvlrWprdOu9RzEUZDcH7OFQvxIbEZErIjo2EjsxyWdsJKSFrWNzqHCWFpvue02SeYFvreQyTOdwwZfiGOkjDIELI9MjlvL6opUZb5IgEGxlD3x5JM6lv9+FwBfPu5LXg5+rUyyadNhUhmYY8D8nIrNHAamxSGbPYszZsxw69r+6hyERzAx/qbXKg/1puMQFEhY5omExo0au+SGIAjMF5mTvD1lit0qIwLMTtl86BSh0VKddeU/r3ZVeB9ZdMEPc7rrNCpDpHyrHpU2cEqHo25NlErKvAYVixO9CXxgZt0V61xNHjhwgI8Od8hohQUVZkeA8VUrCB/iOVJ45+RyuAliQzjAcBArQnOQNkZfr3rAIPvuo8+foX2orfcIr8zx2JfZrFlT1c2L93cxmhLjQlPMywaAf6iNtH2cDFyM3D179XSLI+3E4T6slfTBHXfcJWZs5+mYHxPQKq7Txm8EDPXbf9+9nYkYRQng/cmnxro1mz45tHQrGu8Y3UJTyk1JciM+bYXhYPC/XHqZW8xRgb8qt01C7vsvOdagD5gLo8GAg2FDBjuuEEahfVF3AjhFTQYXfOAWIcjn+dhlhEZF/aM/PUPBP7lpKkWRgGBYulbHV+hainNHfuuGdEyRDAVRMBDzEZgNQiPQuYxkNARPGyR1zAtBFkabFups/DoJVA0LIUSHoSECc6DVgo2RAkRQFgQAEuh4jBjARkpCfJRJPKMJfqCkwzQNo8WIAGyWPDDrQxAwORKUOjfVSAQM5hnA4B0Mf4g2GiP9CMCH+YDJKESgnUhS4NAWjE5I1Qi0DWLhOxoRMOOTNuZEaASMhKiky1csd5UTdRdVmbrB2ARwQLvAQ+CylQQaEppn6uZ4FwdRP+pJOTAoMMAjz0EsWFchts6yOhOwRqIaA4P2kx4YEDZCDaKLugCTevCestFWaDdzYOpDPWk771mScvj6Zgn0goZBXoRC1Ae8Y/ByH17REkyHsCaAA6zeMEr0ReTDALZGeWEE6AD43NMWjiuh7h99tNytxJ06dlL9c/68wKSdMb+nHGgKNTv6hTpRf/oPYQaNBL1Q/1gGg3vats3hGzgVBe8bVbwoM1aUqSrxUUR0dCGMQF7EV5a+WNqAW9m7gF3RdUfzQgCFp4BnYRfCy74rdr+j6YvBIK4QTuFzRfmqGl8Z/MrebW95OwpjR9IXpi18rqiO25uuovzF4hEcFY6MZCjGpqGaFAOYjaPCEYJZeK5qfGUwssgpBr+yuMrgRn1JUwxGtC/SxfO2YEa6gFksfcSRprB88kdcYTreBdxIV1FcxAcMniMEjHgXz/Gea7zjPupZ7J64CJEn4BU+F6bjOdLm3qGWlY3g2XcBK5cu979YvQrjIn02fzYN76OcSJN9X+w+0pM38nBfUdgmM1aUMcWXJ76Ej4SBj4sB1NQKrakfF/j/9fzbI+3+r+Mgta96MZCYsXrxmaAlDFQJA0zqEjNWCXUpU8JA9WMgMWP14zRBTBioEgYSM1YJbSlTwkD1YgAbcWLG6sVpgpYwUGUMJGasMupSxoSB6sVAYsbqxWeCljBQZQwkZqwy6lLGhIHqxUBixurFZ4KWMFA1DGihMTFj1VCXciUMVDMGtOm9miEmcAkDCQNVxEBixioiLmVLGKhuDCRmrG6MJngJA1XCgM4bqlK+lClhIGGgejEgF5zEjNWL0gQtYaBKGGAzcmLGKqEuZUoYqH4MJGasfpwmiAkDVcJAYsYqoS1lShiofgwkZqx+nCaICQNVwkBixiqhLWVKGKh+DCRmrH6cJogJA1XAQFpnrALSUpaEgZ2AgbTOuBOQmkAmDFQRA0lNrSLiUraEgWrFQNpCVa3oTMASBj4WBtLI+LHQlzInDFQfBhIzVh8uE6SEgapjIBlwqo67lDNhoFoxkOaM1YrOBCxh4GNhIKmpHwt9KXPCQDVhIKmp1YTIBCZhoBowkEbGakBiApEwUB0YSMxYHVhMMBIGqgEDiRmrAYkJRMJAdWAgMWN1YDHBSBj4mBiQ/cb+P0X1SNBnUvQkAAAAAElFTkSuQmCC)
PSYCLE – UR 3273 – Psychologie de la Connaissance, du Langage et de l’Émotion Le Centre de Recherche en Psychologie de la Connaissance, du Langage et de l’Émotion (PsyCLÉ) est une Équipe d’Accueil de l’Université Aix-Marseille. Il est installé au sein de la Maison de la Recherche.
![](/sites/sfer.com/files/Logo%20Psycl%C3%A9_0.png) PIIM – UMR 7345 – Laboratoire de Physique des Interactions Ioniques et Moléculaires Le laboratoire de Physique des Interactions Ioniques et Moléculaires (PIIM) est une unité mixte de recherche entre le CNRS et Aix-Marseille Université.
![](/sites/sfer.com/files/logo_PIIM_0.png) TELEMME – UMR 7303 – Temps, Espace, Langages, Europe Méridionale-Méditerranée TELEMME est une UMR pluridisciplinaire qui dépend d'Aix-Marseille Université et du CNRS. Elle regroupe géographes, spécialistes de l'aménagement, historiens médiévistes, modernistes et contemporanéistes, hispanistes et ethnolinguistes.
![](http://sfere.hypotheses.org/files/2018/10/telemme.png) URMIS- Unité de Recherche Migrations et Société (UMR 8245) L'URMIS est une unité mixte de recherche sous tutelle des universités Paris Diderot et Nice Sophia Antipolis, de l'Institut de recherche pour le développement (IRD, UMR 205) et du Centre national de la recherche scientifique (CNRS, UMR 8245). Cette unité de recherche est pluridisciplinaire et spécialisée dans les recherches sur les migrations et les relations interethniques. ![](/sites/sfer.com/files/small_logo%20URMIS.png)
| Associations liées à SFERE ADAPEI Var-Méditerrannée L’Adapei var-méditerranée est une association implantée en région Sud PACA, qui accompagne plus de 2500 personnes vivant avec un handicap ou une fragilité, en proposant des dispositifs adaptés au projet de vie de chacun. 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11110a0C1btugoLXml5JwnI+vAIJopGk/Tx/z587Fw4UIN4uTJk3H//fcjMzNTa7LIoO2fTNRJ67qDqk29Izl3eOG9YiHiRzYicfQj2Gp56VHxHiLMRUMF/wzHsO/AwWs+T+YgXH7OrG7CY/EEAbVj/ZEmXPdJM5p9Bq4qsOPNqwdiSJ8splwEo+O8zjipTVhAE3rwwQc1eJLGCAngomGSIknaJCBIemNpqIAq9aLJ9Ls4//zzNQCStFuaaQFimXNLS4uWPXjwYIipy2np3nvvxTPPPNMJnpUPW310h15+dAe1Sye73QX3oGkw+E5Eb0eEl81h3o3aDv0FRvkbvLV6A9Fc3kIVfA/G2Bvg7DsWDmq5gOTg5fX6Iw2Y9lErL2DtmFlk4M2/H4g07SDoFGw8RXHnJUe1yFq45UPF1wkJqALceeedh3nz5nX6UrfbvMiRdksjxVyFLH9suQpdyQ9L9p49e3TVsGHDtOaLxjIo6c2yeK2nyBeynlb96Z7HVnUCFzVEEmsu3nBmw50/Fd6LH4bn++8B1y4DhvwEzsb1wI5HEFlyISJbX6ZJhzlJAzvr2zBtaTMQs+GKvhH8+spclNcFMH9HHUpr2zhDUzu7GpSVWDMy65nIIoUswMQVCDHqIxQK4eDBg7os4FtgibYKv2iiaJ9otJClsbt370ZlZSUef/xxXT9+/Hj9FF88d+5cfZcgBwRGfDz//PPaGizfbW267tDTB5l7JqZRiVhI80liFQ43qXCoVrXvfle1/Xmy8v3XONX8GlS44nOm/ErdsmC3wuuVCi+Xq5KaVrWuoknhqWKFV/cwndqjnl17WEV4AyZE36qfBEPdd999gnO3t+ScQpLHXnjhhd3ahJcXHrr96aefPqHtlVde0W2Sf55KrjBwA1Tfvn278XCj9MFk5cqVuv7LJP+nNP/um0ETsLsRCdYisPm3SBz4LeyFtyF9xkuIBhsQLf4X2Lz9YOOtlswgESe/3FbZwvC6HEiT1CCLQ8V5eE0z8ODqBnx3VB9MyDPP8VyXNkPxiddff70OWqJlcsyU46K0i/9btmwZmJdqTRVTl7aioiI9VQksEu3r6urh5mX68OHDIebdlVatWqVlyzleMgmRKyTZgmixaLq4DglcEhRFw4VPjs5SJ2RpvS6c4qNnUGVg7VciCK6fDUfZb2C4ChCu/SuBCwCZPCPTS/AqBCFPDjI50E3jvXhnFXNCZcf7O5vwwPRCbLu5kN/bsa0lgUvH52F4jpkaia8SryULFKCuuOKKk05V2mVh11xzzQntkkmI+7jsssu6tdEGdNkCQjICK0eVBstPiuz+/fufIFvig/hlyzcLn9Wn20DHFXoGVRAjYAlfNXDwN4gx9bQlquC+aAF3zYt4oJ5lguI5B+6s/lr8tWP744aDlVh02I7X9/tw86R2nNs/m28v/BSQ7hAY5c5VPk2SycqkrajeUa01QwPPdmkTnmO9TA2XP23wsKdvxQy7bJIZKgzhlX4d15BymSKgih+2oruMI/It2fzKMbhiZi8Gcz6rXjamN4CKvNMEKmkW6mDxDoD9vBdhH/pLOK9aC89IXi6TVKiJk+bE+k2CQZ4oF57hcOOJaXk09QjKAh78saSJnLyrJPhpDGQq0RVQuU8VQDoyAk5eFqQDhE7xtB5zoXKTJleD0i5PQsd3vS+Mlbtr+P8Cnv7Y9kVFAJurWhkY29FuZRCiFyQbfxoSMsgnVbI95idl85v0Z1jWz6rWID7fX6831ZyLxSvP01PPoMrWcSib4UHalH+lH50N72CmWgJ2PATVfgB2niidhZeSz86kiacxzvCcfllYMo0mTj/76N4QNle3Mjd1gT++UJZoU4eOklfpoy/LHMvgSc4fCSIUYyZBvlCcbicW5ZbweME73VAsjhD5A3wK944GH4KJENM08qooPik9yqvIOP1qDHM2V6HaF8DNN/8Axbv2YkB+Ljedh2/KlOvJYCzCsSiTp0YZK8i5RvSlewJbqpmlSCzguO0RSe9M4PmlR+qF+YsMQtBhQrIQ+XVAMReNcuG2tt0IZWchI593B+SU/wdwfjQbhe+OK8CbgWr8bHUI961owLzvuzAwI1Obl94rzc+PhIG/HKjHMK8Duwi+nxpTXx3G1efmYW7JUdw2IReTivLw8aEGfFjWhBzyM2riHy8ZjsPNIV44JHC4JYTXt1Uh0h5GhtON7U0BLK8MINM4gv6D8nmJ7oHK9mPR3npMzvNgd2MMg7NsCHNdbXVRfHtiPhaU8wfIQAQ/vKQAh9oTGBRqQamX9xTFtbi8MA3XjjcvqntyAz1rKtcsJIm6oc2Rv0nRRKWjaitD+PDHPCD8BK7socKm+Y49bfinKQPw+GQDa/wxXryYP2OYZqfZNfjir5p9UXywoxm5DDjfGtZXa82n+xpx4YhchBwGNh1qRU1A4eKBWRjZNxvn5GZjXkklEi4nalvC+Pc1VZg6KA8XDc3Extog/LxivW74QIwa3B8lLDvtvHMobeYlTg7GFmZDsd9MbtqUgly0+xNYW9aKq4b3wbA0O+ZsqUVehg3bKkJ49YsaTB6YjpWlcuIT6zBdlzn7k3/2GtSTdudtlWfKU0ifdDeHIukgYnKKJppFA7+6tACNt43C5Hye+YmoaHInaZVVGJ2XhoVVQaT3ScOSA34MyXbxlwQb+qY5kZPOI7PLjkyCm0Z/m+5gpkDTjPKPGo1MMqaO6ovJAzJRkG5DJv2smwPn8GeXTB66sjPT0B4MY2h2Bq4bmU33FGV/O4poFQ286PqovB2F/Zxw89SW5bTzPoPHcNpcY8COv6Pc/lkG2gJx3DS1gFMWnyt2e3rqpfkfJ4QaS8j4z5QJwGV8CwmClk2bNbqo+GeAdIeLb7OSa+5GZtHAoDQPCl0Eg+bmD7XC6Q8j7vXAH41jVDav//inl9LdPjgiCZ7caLbhGIqynKiiC2IEw5AMN+Zsr0FRPIaBg90MXCH4qdlby0PwcBNUvJVuy0tfzPggfp2BrZ1XtnW8S8hOBBHnT0FBBrZIzIUihoIWmr4704N8TwZ9ro9uTXLq3qVUp/wzRbeVn7JAIOUoKyAfB2jXLrK7ssWnYUGEcioa/RiR50VJnR/B9gjGDab/ZfDL4QFC9qwxHNJuR4wwRrBzPAb21AXR0BbF9NH9sKWylZkHDwp5mQyKCi3tUf7gGEYf5sR7DjdjYlEmXPS3XqcNPm5KHrV1Y0UzA6ANowdKhm0Q1Dgy3DaUVjJQxQ2MH5JN19CAIqr9OYU5soweNfUrgiponWU6icaf5RHOWFxvp3Zm5n/G0zp1R9EASewNqrOZs5qarZOvDpch9VYqJrmtVMtCpa/VT+qs6Cw8lmpZgOj+ZLLG4i85puaxzpQt0miA5kPLEl6RK4eB3tDXT1N7M+uvOc9Xi/5f88X9X00vBWoSkE+BmgI1CQgkQWRKU1OgJgGBJIhMaWoK1CQgkASRKU1NgZoEBJIgMqWpKVCTgEASRKY0NQVqEhBIgsiUpqZATQICSRCZ0tQUqElAIAkiU5qaAjUJCCRBZEpTU6AmAYEkiExpagrUJCCQBJEpTU2BmgQEkiAypakpUJOAQBJE/g/QmKnpdpf23wAAAABJRU5ErkJggg==)
Instituts associés à SFERE InCIAM - Institut Créativité et Innovations - Aix Marseille Université Un réseau scientifique pluridisciplinaire, conduisant des recherches fondamentales et appliquées, en lien avec le monde socio-économique, pour comprendre et accompagner les processus créatifs et d'innovation dans les domaines de la santé, de l'éducation et du travail. 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)
Réseaux associés à SFERE Réseau CANOPE Opérateur du ministère de l’Éducation nationale et de la Jeunesse, Réseau Canopé a pour mission la formation tout au long de la vie et le développement professionnel des enseignants. Il les accompagne notamment dans l'appropriation des outils et environnement numériques. 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)
Structure Fédératives associées à SFERE SFR ESPE Toulouse - Structure Fédérative de Recherche de l'Ecole Supérieure du Professorat et de l'Education de l'Académie de Toulouse La SFR de Toulouse porte sur l’apprentissage, l’enseignement et la formation, avec vingt unités de recherche des universités de Toulouse, cinq autres partenaires du monde académique et associatif, dont le rectorat de l’académie de Toulouse. Deux réseaux, l’IFR des sciences du cerveau et le GIS Serious Games sont associés à ce projet. ![](/sites/sfer.com/files/1.JPG)
GIS 2IF - Groupement d'Intérêt Scientifique 2IF (Innovation, Interdisciplinarité, Formation) Le GIS 2IF est une structure férédative, interinstitutionnelle et interdisciplinaire portée par la Fondation Maison des Sciences de l'Homme (Paris). Elle a pour mission de faciliter le repérage, la fédération et la mobilisation des chercheurs, groupes et équipes de recherche travaillant en France et à l'étranger sur les stratégies d'innovation dans la formation et phénomènes associés, sur les processus d'industrialisation de et dans la formation et sur les modalités d'apprentissage. ![](https://f.hypotheses.org/wp-content/blogs.dir/1781/files/2013/12/Logo-GIS2IF.jpg)
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