La funzione restituisce i laboratori

GET /api/ricerca/laboratories/
HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
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        {
            "LaboratoryId": 764,
            "LaboratoryName": "Advanced Databases",
            "LaboratoryAcronym": "AD",
            "LaboratoryLogo": "",
            "Area": "Scientifico/Tecnologico",
            "DepartmentName": "Dipartimento di Matematica e Informatica, DeMaCS",
            "DepartmentReferentId": 21902,
            "DepartmentReferentCod": "002013",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "260",
            "ScientificDirector": "TERRACINA Giorgio",
            "ScientificDirectorId": "gAAAAABj19N9UnE7ffi2tXgZnZAj-d72DFKtmRfu4CgAx5ejaRX6hNFc3czOjuVVxVcyEx-u7fKs8egVQb-4rIDo_qyKFSZZuw==",
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                    "ResearchPersonnelName": "IANNI Giovambattista"
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                    "ResearchPersonnelID": "gAAAAABj19N9nRA_le0pT6bJ4chkyEfIblEOzNq9W5RyvzUz3DAvwhSNRwr6ZojTqamHwILaBqJrC3gVHWJcQthtKNPZO3vRrg==",
                    "ResearchPersonnelName": "GRECO Gianluigi"
                },
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                    "ResearchPersonnelID": "gAAAAABj19N9dkg-5bcLd0lUWRJ2jfdq3Hz_vHlsoejM_1rUs3mbIgXWymXs6JKN-4SZ_RAgc0ZCvh864ZmkyYwBNPzRqmWfbw==",
                    "ResearchPersonnelName": "RICCA Francesco"
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                    "ResearchPersonnelName": "CALIMERI Francesco"
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                    "ResearchPersonnelName": "PERRI Simona"
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                    "ResearchPersonnelName": "ALVIANO Mario"
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                    "ResearchPersonnelName": "FIONDA Valeria"
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                    "ResearchPersonnelName": "RULLO Pasquale"
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                    "ResearchPersonnelName": "LEONE Nicola"
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                    "ScopeDescription": "Ricerca"
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                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
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            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "The Advanced Database Lab (AD Lab) osupports research activities on Knowledge management and Data Analysis on the other hand; these are typical research topics in Data Integration, Data Warehouse and Data Mining tasks. The DWDM Lab operates in the Mathematics and Computer Science Department and  deals with the complex network of private and public bodies involved in Business Intelligence.",
            "LaboratoryTeachingScope": "The Advanced Databases Laboratory (AD Lab) hosts numerous didactic laboratory activities in support to the University."
        },
        {
            "LaboratoryId": 765,
            "LaboratoryName": "Advanced ICT Traning",
            "LaboratoryAcronym": null,
            "LaboratoryLogo": "",
            "Area": "Informatico/Multimediale",
            "DepartmentName": "Dipartimento di Matematica e Informatica, DeMaCS",
            "DepartmentReferentId": 21902,
            "DepartmentReferentCod": "002013",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "180",
            "ScientificDirector": "TERRACINA Giorgio",
            "ScientificDirectorId": "gAAAAABj19N9ABPo_doNdfT96rpv8XaLBVrMkhy04rm8l_2VuHXl-oWzPiquGznZFKrHOv7UxFZ6ka9rUGSwqZVeh6h7dLp_jw==",
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                    "ResearchPersonnelName": "LEONE Nicola"
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                    "ResearchPersonnelName": "RULLO Pasquale"
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                    "ResearchPersonnelName": "GRECO Gianluigi"
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                    "ResearchPersonnelID": "gAAAAABj19N94TYE5K8TlJOZ2ktqjbtfA-wIZHyY4wcG_-rnAXTZInt9icxTKX4qIqGr05J-n0NL41MqpXYVsRDBeALV2y2Jmg==",
                    "ResearchPersonnelName": "RICCA Francesco"
                },
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                    "ResearchPersonnelID": "gAAAAABj19N9uHU_B9Ii3ZnWwlHkU5rY4Ujqe2JTbolb_CkxqTtGvM0Q0T7XNqxtRl22ihr1QnnGQS4N1G9UAYTin2F69wRblQ==",
                    "ResearchPersonnelName": "CALIMERI Francesco"
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                    "ResearchPersonnelName": "PERRI Simona"
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                    "ResearchPersonnelName": "ALVIANO Mario"
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                    "ResearchPersonnelID": "gAAAAABj19N9m5YNggtgg1QyxRXegCqz_3MJ_Moramt8BwNsmGKtecJ-NL-vHfurJm4HmJTWX9WOZ2moLpdc5uxxnsZOm5RhAw==",
                    "ResearchPersonnelName": "GRASSO Giovanni"
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                    "ResearchPersonnelID": "gAAAAABj19N9tD4a2hMsZjRG5FLoemNxNhgvKiGiIGjaY_xsOGf_dXCkdTIAW4-osRwNkRqTlPkUNvObrBG8hZd3jbUIX1CDSQ==",
                    "ResearchPersonnelName": "MANNA Marco"
                },
                {
                    "ResearchPersonnelID": "gAAAAABj19N9XrZFcxS54Wdf6R3wixVl_Y-N4zedx8ni3cEvBKxn0OG3OzDSKJW_L_UXsLwVksVYCNyuDjORSoAr4Y7mgp1L5A==",
                    "ResearchPersonnelName": "FIONDA Valeria"
                }
            ],
            "LaboratoryScopes": [
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                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
                }
            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": null,
            "LaboratoryTeachingScope": "The activities of the Lab started since 2009 and are relative both to corporate training,  delivered within the Mathematics and Computer Science Department as accredited institution of Calabria Region, and  post-lauream training offered within research and teaching projects funded by regional and national institutions. The lab exploits highly skilled professionality of teachers within the department, which allows to provide  cutting-edge teaching on the most advanced ICT topics. The lab already hosted several courses delivered in the context of industrial projects funded both by Calabria Region and MIUR."
        },
        {
            "LaboratoryId": 766,
            "LaboratoryName": "Algoritmi e Programmazione",
            "LaboratoryAcronym": null,
            "LaboratoryLogo": "",
            "Area": "Informatico/Multimediale",
            "DepartmentName": "Dipartimento di Matematica e Informatica, DeMaCS",
            "DepartmentReferentId": 21902,
            "DepartmentReferentCod": "002013",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "180",
            "ScientificDirector": "PERRI Simona",
            "ScientificDirectorId": "gAAAAABj19N9f8NsbVJj_Ed-u-hF1R6urffYzJnLOR7gPn5FO-SOq7qtrwEr7YDF21hg3-knWJruQy6LXx5917JffxsJ0fdv_Q==",
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                    "ResearchPersonnelName": "LEONE Nicola"
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                    "ResearchPersonnelID": "gAAAAABj19N9oVhtfQMYqS8Y5vNhiuoC5mjY7S1woY1n7zyGGGtsJl_IwVEoS7oNrJUmFk40iiXWJ739lKyNPYZOBHoIAcbJUQ==",
                    "ResearchPersonnelName": "RULLO Pasquale"
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                    "ResearchPersonnelID": "gAAAAABj19N9yJzpF6oSnTeX1MBy7JEc6hamQw25by6321YVDWi7lVwqm0nX0ttzE0CyLuEsSfNaPtcocKWPeuSJSE3juUpCSQ==",
                    "ResearchPersonnelName": "GRECO Gianluigi"
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                    "ResearchPersonnelID": "gAAAAABj19N91_b_iZ0ZZR-dcpGj0bepI2Z1A5NiyO5_cEGeQEDXmPiemac2prKsr7_IqMJhlcfwCDDkHWOdnX0Qq1h3RsZwmQ==",
                    "ResearchPersonnelName": "IANNI Giovambattista"
                },
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                    "ResearchPersonnelID": "gAAAAABj19N9vmNlK-C1RxGLAcHwXtyY7sFY9i1ktcSDhWYovkwT0HVb5__ywL6mG56_ngoeJDXlpce9Bo04dI5o4KOMtInV6g==",
                    "ResearchPersonnelName": "RICCA Francesco"
                },
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                    "ResearchPersonnelID": "gAAAAABj19N9qsTnn_n5ZMfWNc6LGzHxVcYQFDEaaWkV8kITYZX9uauhT4vIBKYQv38rVi05KX8ugRfOqDcM_G9yuWZLxx1Isw==",
                    "ResearchPersonnelName": "CALIMERI Francesco"
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                    "ResearchPersonnelName": "ALVIANO Mario"
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                {
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                    "ResearchPersonnelName": "FIONDA Valeria"
                }
            ],
            "LaboratoryScopes": [
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                    "ScopeID": 1,
                    "ScopeDescription": "Ricerca"
                },
                {
                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
                }
            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "The research activities conducted in the laboratory mainly concern the study of advanced techniques of programming and optimization, with particular focus on the design and development of Logic Programming Systems, and framework of interoperability among complex systems. Some of the topics are: \n- Data structures for efficient indexing\n- Algorithms for the instantiation of ASP programs\n- Techniques and Heuristics for the evaluation of programs and queries over deductive databases;\n- Parallel Computing",
            "LaboratoryTeachingScope": "The lab hosts the lectures of the degree course in Computer Science of DEMACS, of the classes of Computer Science of the degree course in Mathematics of DEMACS, the peer tutoring activity provided by  DEMACS and the laboratory activities of the courses of \"Tirocinio Formativo Attivo\" delivered by DEMACS."
        },
        {
            "LaboratoryId": 767,
            "LaboratoryName": "Analisi Numerica",
            "LaboratoryAcronym": "LAN",
            "LaboratoryLogo": "",
            "Area": "Informatico/Multimediale",
            "DepartmentName": "Dipartimento di Matematica e Informatica, DeMaCS",
            "DepartmentReferentId": 21902,
            "DepartmentReferentCod": "002013",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "80",
            "ScientificDirector": "DELL'ACCIO Francesco",
            "ScientificDirectorId": "gAAAAABj19N9YzpYu9O5N3jcsbRqPAtFbK8pv3JvIHcnQFu-gRoq_sNJpnkgqt7VsOztEHbl2fjkdiJMgTsgIfL43OjkWrbhqw==",
            "LaboratoryResearchPersonnel": [
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                    "ResearchPersonnelName": "NAPOLI Anna"
                },
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                    "ResearchPersonnelName": null
                }
            ],
            "LaboratoryScopes": [
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                    "ScopeID": 1,
                    "ScopeDescription": "Ricerca"
                },
                {
                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
                }
            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "The lab operates in various areas of numerical analysis such as: Numerical Approximation of the Solution of Initial Value Problems or Boundary Value Problems for Ordinary Differential Equations, Polynomial, Rational and Scattered Data Approximation and Interpolation, Sheffer Sequences and Related Approximation Operators, and areas of applied mathematics such as: Quantitative analysis of river networks, Stochastic processes modeling for prediction of binary responses.",
            "LaboratoryTeachingScope": "The Laboratory of Numerical Analysis (LAN) supports the didactic activity of Computational Mathematics of the courses relating to the Degree in Mathematics and the Master's Degree in Mathematics and other courses that require the use of computers with specialized software."
        },
        {
            "LaboratoryId": 768,
            "LaboratoryName": "Artificial Intelligence and Data Science Laboratory",
            "LaboratoryAcronym": null,
            "LaboratoryLogo": "",
            "Area": "Scientifico/Tecnologico",
            "DepartmentName": "Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, DIMES",
            "DepartmentReferentId": 21945,
            "DepartmentReferentCod": "002017",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "120",
            "ScientificDirector": "TAGARELLI Andrea",
            "ScientificDirectorId": "gAAAAABj19N9dHLX-fBYG3G4rCB3hEnDrBACFvZ2Di63yIVlaw0GNkdZSSrmJNK3PM6zDoIyGkp1ZQzqCxDfxTK3o3_TlrgQWw==",
            "LaboratoryResearchPersonnel": [
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                    "ResearchPersonnelName": "ANGIULLI Fabrizio"
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                    "ResearchPersonnelName": "FASSETTI Fabio"
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                    "ResearchPersonnelName": "FLESCA Sergio"
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                    "ResearchPersonnelName": "FURFARO Filippo"
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                    "ResearchPersonnelName": "GRECO Sergio"
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                    "ResearchPersonnelName": "GUZZO Antonella"
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                    "ResearchPersonnelName": "MOLINARO Cristian"
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                    "ResearchPersonnelName": "PALOPOLI Luigi"
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                    "ResearchPersonnelName": "PARISI Francesco"
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                    "ResearchPersonnelName": "PUGLIESE Andrea"
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                    "ResearchPersonnelName": "SCARCELLO Francesco"
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                    "ResearchPersonnelName": "TRUBITSYNA Irina"
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                    "ResearchPersonnelName": "ZUMPANO Ester"
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                    "ScopeDescription": "Ricerca"
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            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "The Artificial Intelligence and Data Science Laboratory is currently active in the Department of Computer Engineering, Modeling, Electronics and Systems Engineering (DIMES) of the University of Calabria for the development of knowledge and technologies in the fields of Artificial Intelligence, Database and Knowledge-Based Systems, Big Data Management and Analytics, Data Mining and Machine/Deep Learning, Information Retrieval, Knowledge Management, which  is believed to have strategic relevance in the companies' decisional processes, in large scale social behavior characterization, in the solution of complex scientific problems as well as health-care and high-impact problems.\n\nThe Artificial Intelligence and Data Science Laboratory is concerned with various research issues, including methodological and technological aspects that are relevant in several subfields of Artificial Intelligence, Database and Knowledge-Based Systems, Big Data Management and Analytics, Data Mining and Machine/Deep Learning, Information Retrieval, Knowledge Management. More specifically the laboratory is involved in the following research activities: database theory; optimization and query response; logical languages ​​for databases; theory of graphs and hypergraphs with applications to databases and constraint satisfaction problems; high-performance parallel and distributed algorithms for data analysis; computational complexity of database and artificial intelligence problems; non-monotone reasoning, computation of minimal models, constraint satisfaction problems; indexing and retrieval of data in metric spaces; big data management and analysis; privacy preserving in big data; knowledge management models; game theory algorithms; cryptography algorithms; analysis of sequential data; time series and data streams; identification and explanation of anomalies; machine and deep learning theory for supervised,  semi-supervised and unsupervised learning tasks; natural language processing and deep learning for text data, topic modeling, representation learning; information diffusion models and optimization of the influence propagation in information networks;  data mining, machine learning, network analysis, and big data analytics for social networks; personalization and recommendation for social marketing applications and user behavior analysis;  information processing and analysis of images, video and audio; bioinformatics and biological data analysis.",
            "LaboratoryTeachingScope": null
        },
        {
            "LaboratoryId": 769,
            "LaboratoryName": "Atypicalab for Cultural Disability Studies",
            "LaboratoryAcronym": null,
            "LaboratoryLogo": "/media/laboratori/loghi/LOGO_lab atypical.jpg",
            "Area": "Sezione/Centro",
            "DepartmentName": "Dipartimento di Studi Umanistici, DISU",
            "DepartmentReferentId": 21951,
            "DepartmentReferentCod": "002023",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "25",
            "ScientificDirector": "TARANTINO Ciro",
            "ScientificDirectorId": "gAAAAABj19N9p5DUJSmm2GONvuHURSSa78XXfg5YmxCS1D2V3QNd6vo0ELl8KgJP6GSTH0gHOweRUwYSHKm8Pdq6zWcMKaCr7g==",
            "LaboratoryResearchPersonnel": [
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                    "ResearchPersonnelName": "MAZZEO Marco"
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                    "ResearchPersonnelName": "CACCIATORE Fortunato"
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                    "ScopeDescription": "Ricerca"
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            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "Atypicalab is an interdisciplinary research laboratory for cultural studies on disability. The laboratory carries out basic research on cultural codes, social practices and governmental dispositfs of disability. The laboratory carries out applied research for the full and equal enjoyment of fundamental freedoms and for the full and effective social participation of people with disabilities, through the development and experimentation of programs, actions and interventions to contrast the ways and forms of discrimination , disaffiliation, exclusion, dehumanization and segregation.",
            "LaboratoryTeachingScope": null
        },
        {
            "LaboratoryId": 770,
            "LaboratoryName": "Biochimica e biologia molecolare",
            "LaboratoryAcronym": null,
            "LaboratoryLogo": "",
            "Area": "Scientifico/Tecnologico",
            "DepartmentName": "Dipartimento di Farmacia e Scienze della Salute e della Nutrizione, FSSN",
            "DepartmentReferentId": 21949,
            "DepartmentReferentCod": "002021",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "103",
            "ScientificDirector": "DOLCE Vincenza",
            "ScientificDirectorId": "gAAAAABj19N9dI9Rh1mBMVALTyQMD7maQmtjNXfTLH2kIyLAiMbfVWhVib0Os7rUmi9PUO0R482Z9TFrxaJBx2ue4qVoRSQJkQ==",
            "LaboratoryResearchPersonnel": [
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                    "ResearchPersonnelName": "CURCIO Rosita"
                },
                {
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                    "ResearchPersonnelName": "LAURIA Graziantonio"
                }
            ],
            "LaboratoryScopes": [
                {
                    "ScopeID": 1,
                    "ScopeDescription": "Ricerca"
                }
            ],
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            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "Identification and functional characterization of genes encoding for mitochondrial carrier proteins from various organism. Study of metabolic human diseases caused by the deficiency of  nuclear genes encoding for mitochondrial transport proteins.  Study of specific-cancer metabolic rewiring due to the downregulation/upregulation of mitochondrial transporters.",
            "LaboratoryTeachingScope": null
        },
        {
            "LaboratoryId": 771,
            "LaboratoryName": "Biologia Vegetale",
            "LaboratoryAcronym": "BioVeLab",
            "LaboratoryLogo": "",
            "Area": "Scientifico/Tecnologico",
            "DepartmentName": "Dipartimento di Biologia, Ecologia e Scienze della Terra,  DIBEST",
            "DepartmentReferentId": 21942,
            "DepartmentReferentCod": "002014",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "800",
            "ScientificDirector": "CHIAPPETTA Adriana Ada Ceverista",
            "ScientificDirectorId": "gAAAAABj19N95dS_VWIHXTP-tuIpFIl8EYOr4Trk-pJhrSYsklTq8fM9l_4FcBHLgAOsJ1nsQC0RYHLEwFu5gpeQzfOgQyidjQ==",
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                    "ResearchPersonnelName": "COZZA Radiana"
                },
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                    "ResearchPersonnelName": "BRUNO Leonardo"
                },
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                    "ResearchPersonnelName": "PELLEGRINO Giuseppe"
                },
                {
                    "ResearchPersonnelID": "gAAAAABj19N95xs63H2Rl2F7my6pQTszucMxeubHn_YxLdfkeejeQ08boxrNSZ_vptRr1ST0Y6heI5V0DPORXiqIuMsPoxZgFQ==",
                    "ResearchPersonnelName": "PALERMO Anna Maria"
                },
                {
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                    "ResearchPersonnelName": "BERNARDO Liliana"
                },
                {
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                    "ResearchPersonnelName": "GARGANO Domenico"
                }
            ],
            "LaboratoryScopes": [
                {
                    "ScopeID": 1,
                    "ScopeDescription": "Ricerca"
                },
                {
                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
                },
                {
                    "ScopeID": 3,
                    "ScopeDescription": "Servizi"
                }
            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": "-OMICs Platform:\nOur OMICs Platform offers most types of transcriptomics services including mRNA, rRNA, tRNA, and other noncoding RNA, isolated from one cell or a population of cells. Transcriptomics is the high-throughput study of cellular gene expression under specific conditions by cataloging the complete set of RNA transcripts. Transcriptomics enables a genome-wide analysis of transcription at single nucleotide resolution, including determination of the relative abundance of transcripts, unbiased identification of alternative splicing events and post-transcriptional RNA editing events, and detection of single nucleotide polymorphisms (SNPs).\n-Biomonitoring models and methods for an early warning of environmental stress conditions:\nMonitoring strategies through biomarkers and biondicator organisms for the evaluation of environmental conditions using classical and innovative methods (expression pattern of stress-related genes, methylation pattern). Use of model organisms for the response to ecotoxicity.\n-Detection and monitoring of vegetation:\nmonitoring, detection, analysis  of the plant component of ecosystems, at the level of populations, species and communities, through the application of analytical models capable of bringing out the demographic dynamics and the relationships between the composition of plant communities and ecosystem functionality.\n-Vegetation maps:\nCartographic representation of the types of vegetation, identified on a phytosociological basis and according to the map keys adopted at international level. The vegetation maps are processed in the GIS environment to allow overlapping with other thematic maps in order to determine the causes of the spatial distribution patterns of the vegetation. In this way the vegetation maps represent a precious tool in the management and planning of the territory, both in anthropized environments and in protected areas.\n-Collaboration to the design and management of protected natural areas\nConsultancy for park management bodies in the design, construction and management of protected natural areas through the knowledge of species, communities and habitats characterizing the areas themselves, in the light of national and international legislation on environmental protection.\n-Environmental restoration design:\nThe laboratory provides knowledge on the plant component of ecosystems and on the application of models relating to the dynamics of plant populations and communities, useful for the requalification and environmental recovery of degraded areas and for the renaturalization of disturbed natural habitats\n-Design of naturalistic itineraries:\nThe laboratory provides the scientific and technical skills for the identification and integration of environmental peculiarities (flora, vegetation and landscape) together with the design and communication skills required, to create itineraries, with educational and dissemination purposes, based on the territorial reality and responding to the needs of the different categories of users.",
            "LaboratoryResearchScope": "The Laboratory of Plant Biology is active in the Department of Biology, Ecology and Earth Sciences (DiBEST), at the University of Calabria. The laboratory is addressed to several private and public bodies (such as national, regional public bodies, National Natural Parks, private and public companies , biotechnological enterprises,  universities, Museum  and research centres ) which operate in the field of Ecology and Conservation,  Agriculture and Food, Floriculture,  Green Biotechnology as well as of Natural Museum Activity and Scientific Divulgation. The mission is to innovate, through high-throughput technologies, the accumulation of data and information on several aspects of  plant  biology ( below described)  and to integrate such knowledge into the management of environment , biodiversity and plant resources, by supporting the formulation of predictive/management models  and the solution of decision making problems.                                           The Laboratory includes three sections established, under different denominations, about in 1980s, in the former Department of Ecology and today active in the DiBEST:                                                                                                                      1° section:  \"Plant Cytophysiology and Biotechnology \" (Scientific  Coordinator: Prof.ssa Adriana Chiappetta). The mission is to innovate, at the cytophysiological and molecular levels, the information on plant developmental biology and eco-physiology and on the related biotechnologies.                                       \n 2° section: \"Plant Biosystematic \" (Scientific Coordinator: Prof. Giuseppe Pellegrino).                                                                                                                                                                                                     The mission is to innovate the information on plant biodiversity and on the protection and preservation of historical and cultural heritage of Calabria and the Mediterranean basin.                                                                                                                                                                                  3 ° section: \"Plant Taxonomy, Conservation and Ecology \"(Scientific Coordinator: Prof.ssa Liliana Bernardo).  \nThe research, the vocational training and continuous learning carried out in the Laboratory of Plant Cytophysiology is focused on the cytophysiological and molecular bases underlying plant developmental biology and plant adaptability/resilience to changing environment. Such activities deal with both Basic and Applied Research as well as with Biotechnology, Technology Transfer and Advanced Technical Consulting. In more details, in addition to the study of  model systems, most of the research is carried out : i)   on relevant agronomic plants (peach, olive, citrus) in relation to plant productiveness and plant product quality; ii) on terrestrial and aquatic  plants of great ecological significance ( such as marine phanerogames, psammophyte plants and algae) in relation to the monitoring and management of biodiversity and ecosystems through: the identification of novel biomarkers to be used  for an early warning of environmental alterations and threats;  analysis of plant resilience to global change; recovery against land desertification;  environment re-naturalization; green biotechnologies (  phytoremediation and use of plant biomass  for the  production of biofuel   and products of interest). Integrated and high-throughput approaches are applied and, from evaluating the objectives, electing alternatives, monitoring results up to the assessment of the expected impact, the Laboratory will provide information useful to develop decision support systems  in the field of  Ecology and Environment,  Agriculture and Food, Green Biotechnology.\nThe research, the vocational training and continuous learning carried out in the Laboratory of \"Plant Biosystematics\" is focused on the molecular variability of spontaneous species or of agricultural interest in order to evaluate their genetic structure and interspecific relationships, to the study of the biology of reproduction with manual pollination experiments and tests of viability and germination of seeds in order to evaluate the reproductive success, the existence of reproductive barriers between the entities under examination and the exposure to the risk of extinction, the identification of biodeteriogenic organisms on different materials ( wood, rock, parchment, etc.) of interest for cultural heritage. The approaches used are highly innovative and high throghouput and the knowledge gained supports application activities in the Ecological-Environmental, Agri-food and Cultural Heritage sectors. \nThe research, the vocational training and continuous learning carried out in the Laboratory \"Taxonomy, Conservation and Plant Ecology\" \" is focused on the  plant conservation biology, floristics and vegetation sciences, thus including surveys involving both the population and plant community levels. In the first case, the main objective is the study of the relationship between the reproductive system and exposure to the risk of extinction in rare plants and / or plants subject to sensitive rates of contraction and fragmentation. At the plant community level, studies conducted both at a point and regional scale, aim at the identification of ecological parameters capable of significantly influencing the aggregation models between plant species, and at the analysis of the evolution models of the vegetation cover in characterized environmental contexts. from different regimes of presence and anthropogenic pressure.\nFloristic research, carried out especially in lesser known areas, is further increasing the herbarium of the Calabrian flora. The determination and computerization of herbarium samples, together with the archiving of all bibliographic data, made it possible to structure a database aimed at creating a Flora Calabra, which, once completed, can be consulted online. Basic geobotanical knowledge supports application activities related to environmental restoration and the improvement of agri-food production.",
            "LaboratoryTeachingScope": "At the \"Taxonomy, Conservation and Plant Ecology\" laboratory, various educational activities are carried out, both indoors and outdoors, as part of teaching and training internships for degrees in Natural Sciences and Biological Sciences.\nThe activities essentially concern:\n1) The use of microscopes, stereoscopes and analytical keys for the identification of plant species;\n2) Tests of setting up herbarium samples;\n3) Archiving of herbarium samples in the database;\n4) Reproduction techniques for artificial pollination with crossbreeding experiments between natural populations;\n5) Germination test and seed propagation in a controlled condition;\n6) Phytosociological survey of vegetation; \n7) Distribution maps of populations, species and communities in a GIS environment.\n7) Development of distribution maps of populations, species and communities in a GIS environment."
        },
        {
            "LaboratoryId": 772,
            "LaboratoryName": "Bisogni Educativi Speciali e Autismo – Tecnologie Educative e della Comunicazione",
            "LaboratoryAcronym": "BESeA-TEC",
            "LaboratoryLogo": "",
            "Area": "Informatico/Multimediale",
            "DepartmentName": "Dipartimento di Matematica e Informatica, DeMaCS",
            "DepartmentReferentId": 21902,
            "DepartmentReferentCod": "002013",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "300",
            "ScientificDirector": "VALENTI Antonella",
            "ScientificDirectorId": "gAAAAABj19N9twnMFpAQDLUCRktO6vyvg-Ibo-dxHqi6qALKtdtRGKJne6lI5ZsM2fLfovYbVTUoE7T-Iz8GuEkhgsblrUJx3Q==",
            "LaboratoryResearchPersonnel": [
                {
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                    "ResearchPersonnelName": "DE PIETRO Orlando"
                }
            ],
            "LaboratoryScopes": [
                {
                    "ScopeID": 1,
                    "ScopeDescription": "Ricerca"
                },
                {
                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
                }
            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "The research activity of the BESeA-TEC Laboratory is mainly centered on the analysis of the educational needs of all students for the individualization and personalization of educational projects and the identification of the most appropriate technological supports related to technologies didactic-educational.\nThe activities carried out at the laboratory are therefore aimed at innovating educational-training processes, both at the research-study level and at the research-experimentation level through the use of the most up-to-date educational communication technologies.\nSpecifically, the research activities concern:\n• the design and use of educational technologies for the creation of innovative educational-training environments; the dynamics of the planning of teaching-learning processes for competences and of the evaluation of competences (in particular of Soft Skills);\n• the identification of proposals, didactic models and tools aimed at facilitating learning and the full participation of all students, both in the school and university settings, without distinction for those in a situation of disability or difficulties related to contextual factors, according to the Universal Design for Learning model;\n• the areas of instructional technology, digital literacy, media education, inclusive educational technologies and educational research more generally, with particular attention to lifelong learning (lifelong learning and lifewide learning).",
            "LaboratoryTeachingScope": "At the BESeA-TEC Laboratory the students of the five-year single-cycle Master's Degree Course in Primary Education benefit from an innovative teaching that makes use of the methodology of cooperative learning, research-action, situated learning and the use of modern technologies of educational communication connected to the sectors of instructional technology, digital literacy and media education."
        },
        {
            "LaboratoryId": 773,
            "LaboratoryName": "Calabria University Laboratory on Telecommunication, Ubiquitous computing and Radio technologies for smart Environment",
            "LaboratoryAcronym": "Culture LAB",
            "LaboratoryLogo": "",
            "Area": "Scientifico/Tecnologico",
            "DepartmentName": "Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, DIMES",
            "DepartmentReferentId": 21945,
            "DepartmentReferentCod": "002017",
            "Interdepartmental": "NO",
            "ExtraDepartments": [],
            "InfrastructureId": null,
            "InfrastructureName": null,
            "Dimension": "200",
            "ScientificDirector": "DE RANGO Floriano",
            "ScientificDirectorId": "gAAAAABj19N9cyIsK8CRh69_IWRM8iKtPQIb-xg1O4cf2DrYYonwcRa5AnMV9HrWP1GKOv9aYd0TnW752OwrWGuxvpoZ6qohSA==",
            "LaboratoryResearchPersonnel": [],
            "LaboratoryScopes": [
                {
                    "ScopeID": 1,
                    "ScopeDescription": "Ricerca"
                },
                {
                    "ScopeID": 2,
                    "ScopeDescription": "Didattica"
                }
            ],
            "LaboratoryTechPersonnel": [],
            "LaboratoryServicesScope": null,
            "LaboratoryResearchScope": "CULTURE Lab is born in 2007 in the  Department of Computer Science, Modeling, Electronics and Systems (DIMES) at University of Calabria. It can provide teaching services towards students that want to get knowledge on networking technologies with particular focus on multi-robot coordination, connected and autonomous vehicles, environment monitoring systems, smart farming and smart cities. In the lab R&D activities will be also led out and they are connected to regional, national and European projects.\nLab. missions is to extend knowledge on telecommunication technologies, information theory and networking technologies applied to vertical contexts with national and international interests. \nMain research activities are listed below:\n- Green communication and networks\n- Telecommunication and networking technologies applied in the vehicular context, ICT for smart cities, industry 4.0 and ICT for smart agriculture;\n- Network technologies to provide communication security, network security and security services in the integrated and heterogeneous networks;\n- Artificial Intelligence applied to networking technologies and wireless systems.",
            "LaboratoryTeachingScope": "The CULTURE Lab is used also for providing teaching and lessons towards students or Ph.D students that need to do practical experiments related to classes. The lab is equipped also with video projector to allow lessons for classes with about 15-20 students."
        }
    ],
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}