{"id":55475,"date":"2019-03-21T12:32:00","date_gmt":"2019-03-21T12:32:00","guid":{"rendered":"https:\/\/expleo.com\/global\/en\/?page_id=55475"},"modified":"2025-05-14T13:47:46","modified_gmt":"2025-05-14T13:47:46","slug":"rd-projects-italy","status":"publish","type":"page","link":"https:\/\/expleo.com\/global\/en\/rd-projects-italy\/","title":{"rendered":"R&D Projects – Italy"},"content":{"rendered":"\t\t
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Home<\/a><\/span><\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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R&D Projects\n<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Next Level Open Data<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Fondo Crescita Sostenibile – Project proposal titled \u201cNext Level of Open Data – nLOD\u201d submitted by the company EXPLEO ITALIA S.P.A. pursuant to Ministerial Decree 31\/12\/2021 and Directorial Decree of 14\/11\/2022 – Position No. 60 \u2013 Project Code MISE F\/350060\/00\/X60 \u2013 CUP: B89J25000010005 – COR: 23276347<\/p>

MISE contribution: \u20ac1,806,856.25 as a grant provided by the Ministry under the resources of the \u201cFondo Per la Crescita Sostenibile, against a total investment of \u20ac6,514,250.00.<\/p>

Project start date: 01\/03\/2024 at the Expleo Italia S.p.A. premises in Palermo(PA) Via Cavour, 70<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Smart & Safe Cognitive Environment and Representation Modelling<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Project Code: MKX9KJ2<\/p>

Regional Regulation for Exempted Aid No. 17 of September 30, 2014 \u2013 Title II \u2013 Chapter 1 “Aid to Investment Programs of Large Enterprises” \u2013 Total eligible investment: \u20ac12,744,853.00<\/p>

For Expleo Italia S.p.A., against an eligible investment of \u20ac6,652,055.00, a grant of \u20ac3,761,625.00 was awarded.<\/p>

S2CE<\/strong> is a project funded by European and regional funds, aimed at developing an innovative framework for the analysis and management of complex urban data, through the integration of BIM (Building Information Modeling) and GIS (Geographic Information System) technologies.<\/p>

The objective is to enhance the resilience and safety of critical infrastructure in urban and metropolitan environments, leveraging Big Data, Artificial Intelligence, and Machine Learning for emergency management and risk analysis.<\/p>

The framework is based on a microservices architecture and includes components such as a Web Unified Portal, an Event Bus, a Data Lake, and a layer for data integration and fusion. It also involves the development of extensible geodatabase models, compliant with existing standards and suitable for pre\/post-emergency scenarios<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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SMART MAIL SHARING<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The project intercepts the trajectory of priority interest Systems and Solutions for Secure Information Sharing as it aims to increase the level of security in sharing information that, every day, travels in hundreds of thousands of e-mails from the PCs of public and private employees. This goal is expected to be achieved with the use of artificial intelligence technologies capable of identifying Named Entities.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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S.A.R.A.\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Goal: To undertake a holistic research path for the study of the interrelationships of 3 sectors (Health, Environment, Agriculture), not yet widely investigated at an international level. To create a multidomain competence center in Puglia aimed at being one of the nodes of European research infrastructures for the acquisition and interpretation of data in the reference fields. Studying interactions between domains (health, environment and agriculture) using international frameworks (OneHealth, AirQ +, \u2026) in accordance with the Horizon Europe research objectives and in line with the FNH-RI and METROFOOD-RI frameworks. Innovate the processes of conception, planning, implementation and provision of services by giving the final recipient a central role by anticipating their involvement through the application of the user-driven open innovation methodology.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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DatafactoR<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Goal: creation of a highly specialized infrastructure that brings together all the best skills, professionalism, tools and experience to provide services and solutions of big data analysis, through techniques and solutions of machine learning and deep learning algorithms, tools of data visualization and dashboard tailor made. The objective of the project is to design and implement a technological hub capable of handling and processing any type of data, coming from any specific domain of expertise, providing solutions and services of data-science according to paradigms that can vary from full-outsourcing to the development of entire software solutions \u201ctailor made\u201d, which cover the overall life cycle of the data from its genesis to its historicization, through the in-depth analysis and generation of knowledge. The first data science solutions conceived will focus on the sectors of health care, public administration, insurance and finance.<\/p>

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HLCM: Human Life Cycle Management<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Goal: development of an information solution that can effectively and efficiently support Human Life Cycle Management, i.e. an infrastructure capable of providing continuous support to the care needs of citizens during their lifetime, trying to reduce, if possible, to cancel the information darkness of current health systems. The objective is to allow medicine to be not only \u201cPersonalized\u201d (i.e. person-centric), but also \u201cPredictive\u201d (temporal evolution of the models and their increasing and gradually more precise representativeness of the real situation) and therefore structurally \u201cPreventive\u201d as well as \u201cParticipatory\u201d precisely because it is centered on the \u201cPerson\u201d.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Funding: Question Prot. N. AOO_158 \u2013 0005417 del 13\/07\/2017 \u2013 POR FESR 2014\/2020 \u2013 Notice for disbursement of \u201cInvestment programmes aid for large companies<\/em>\u201d referred to as \u201cNotice for the presentation of programmes promoted by Large scale companies according to article 17 of the general Regulation of exempted aid schemes n. 17 of the 30th of September 2014<\/em>\u201d and its annexes (B.U.R.P. n. 68 of 14.05.2015). The eligible investment amount is of \u20ac. 9.442.877,00 with maximum grant not exceding \u20ac. 5.470.294,25. For Expleo Italia, a contribution of \u20ac.1.321.149,30 has\u202fbeen granted against an investment of \u20ac. 2.388.290,00. In 2018, \u20ac. 660.571 were disbursed as first advance, in 2019,\u00a0 \u20ac. 521.399,92 were distributed as second advance.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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HAPS: Holistic Attack Prevention System. A Cybersecurity Solution<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Goal: creation of a cyber defense solution that, starting from a set of input information related to specific applications, through the paradigms of predictive analysis, machine learning and AI, is able to provide information on the pre-existing quality status of the software analyzed (AS-IS) and provide predictions on the risks and frequency of malfunctions in the software modules, and through the analysis of application logs detection of suspicious activities.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Funding: Question N. Prot. N. A0113-2017-13644 \u2013 POR FESR 2014\/2020 \u2013 Public notice \u201cAerospace and safety\u201d, whose det. N. G13676 of the 21st of November 2016 Integrated Projects. The eligible investment amount is of \u20ac. 2.562.712,76. For Expleo Italia, a contribution of \u20ac. 460.322,98 has been granted against an investment of \u20ac. 948.842. In 2018, \u20ac. 184.129,19 were disbursed as advance, and in 2019 the balance was paid.\u00a0<\/p><\/div><\/div><\/div><\/div><\/section><\/main><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

R&D Projects Next Level Open Data Fondo Crescita Sostenibile – Project proposal titled \u201cNext Level of Open Data – nLOD\u201d submitted by the company EXPLEO ITALIA S.P.A. pursuant to Ministerial Decree 31\/12\/2021 and Directorial Decree of 14\/11\/2022 – Position No. 60 \u2013 Project Code MISE F\/350060\/00\/X60 \u2013 CUP: B89J25000010005 – COR: 23276347 MISE contribution: \u20ac1,806,856.25 […]<\/p>\n","protected":false},"author":90,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","footnotes":""},"content-type":[],"class_list":["post-55475","page","type-page","status-publish","hentry"],"yoast_head":"\nExpleo | R&D Projects - Italy<\/title>\n<meta name=\"description\" content=\"R&D Projects in Italy will take a holistic path to explore interrelationships between Health, Environment, and Agriculture. 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