ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR FOOD SAFETY AND HEALTH PROTECTION IN LAZIO (Q4141291): Difference between revisions
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(Changed label, description and/or aliases in es, and other parts: Adding Spanish translations) |
(Changed label, description and/or aliases in en, and other parts: Adding English translations) |
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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR FOOD SAFETY AND HEALTH PROTECTION IN LAZIO | |||||||||||||||
| Property / summary | |||||||||||||||
THE PROJECT AIMS TO SET UP MORE EFFECTIVE AND CHEAPER CONTROLS FOR FOOD SAFETY AND THE CONTAINMENT OF COVID-19, WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING. THE PROJECT, WHICH IS THE FIRST EXPERIENCE IN EUROPE AND THE FOURTH IN THE WORLD, IS BASED ON THE SIMPLIFICATION OF CONTROLS, AND THEN COMES TO THE REALISATION OF A DATA LAKE POWERED BY INSTITUTIONAL AND NON-INSTITUTIONAL DATA, ALSO COLLECTED THROUGH SOCIAL MEDIA AND AN APP. THE PROCESSING OF SUCH DATA IS CARRIED OUT THROUGH A TEXT MINING ALGORITHM AND PREDICTIVE MACHINE LEARNING THAT SIGNALS TO CONTROLLERS (SUCH AS ASL, NAS, HARP LAZIO, ISTITUTO ZOOPROFILATTICO) POSSIBLE VIOLATIONS AND SITUATIONS AT RISK OF NON-COMPLIANCE THAT DESERVE ACTIONS TO SUPPORT FULFILMENT. IN ADDITION, TO ENCOURAGE VOLUNTARY COMPLIANCE, OPERATORS WILL BE INVITED TO PARTICIPATE IN A SMART INFORMATION DISCLOSURE MECHANISM (FOR THE BENEFIT OF USERS) WITH FRAMING INVOLVES (English) | |||||||||||||||
| Property / summary: THE PROJECT AIMS TO SET UP MORE EFFECTIVE AND CHEAPER CONTROLS FOR FOOD SAFETY AND THE CONTAINMENT OF COVID-19, WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING. THE PROJECT, WHICH IS THE FIRST EXPERIENCE IN EUROPE AND THE FOURTH IN THE WORLD, IS BASED ON THE SIMPLIFICATION OF CONTROLS, AND THEN COMES TO THE REALISATION OF A DATA LAKE POWERED BY INSTITUTIONAL AND NON-INSTITUTIONAL DATA, ALSO COLLECTED THROUGH SOCIAL MEDIA AND AN APP. THE PROCESSING OF SUCH DATA IS CARRIED OUT THROUGH A TEXT MINING ALGORITHM AND PREDICTIVE MACHINE LEARNING THAT SIGNALS TO CONTROLLERS (SUCH AS ASL, NAS, HARP LAZIO, ISTITUTO ZOOPROFILATTICO) POSSIBLE VIOLATIONS AND SITUATIONS AT RISK OF NON-COMPLIANCE THAT DESERVE ACTIONS TO SUPPORT FULFILMENT. IN ADDITION, TO ENCOURAGE VOLUNTARY COMPLIANCE, OPERATORS WILL BE INVITED TO PARTICIPATE IN A SMART INFORMATION DISCLOSURE MECHANISM (FOR THE BENEFIT OF USERS) WITH FRAMING INVOLVES (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
| Property / summary: THE PROJECT AIMS TO SET UP MORE EFFECTIVE AND CHEAPER CONTROLS FOR FOOD SAFETY AND THE CONTAINMENT OF COVID-19, WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING. THE PROJECT, WHICH IS THE FIRST EXPERIENCE IN EUROPE AND THE FOURTH IN THE WORLD, IS BASED ON THE SIMPLIFICATION OF CONTROLS, AND THEN COMES TO THE REALISATION OF A DATA LAKE POWERED BY INSTITUTIONAL AND NON-INSTITUTIONAL DATA, ALSO COLLECTED THROUGH SOCIAL MEDIA AND AN APP. THE PROCESSING OF SUCH DATA IS CARRIED OUT THROUGH A TEXT MINING ALGORITHM AND PREDICTIVE MACHINE LEARNING THAT SIGNALS TO CONTROLLERS (SUCH AS ASL, NAS, HARP LAZIO, ISTITUTO ZOOPROFILATTICO) POSSIBLE VIOLATIONS AND SITUATIONS AT RISK OF NON-COMPLIANCE THAT DESERVE ACTIONS TO SUPPORT FULFILMENT. IN ADDITION, TO ENCOURAGE VOLUNTARY COMPLIANCE, OPERATORS WILL BE INVITED TO PARTICIPATE IN A SMART INFORMATION DISCLOSURE MECHANISM (FOR THE BENEFIT OF USERS) WITH FRAMING INVOLVES (English) / qualifier | |||||||||||||||
point in time: 31 January 2022
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Revision as of 10:05, 31 January 2022
Project Q4141291 in Italy
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR FOOD SAFETY AND HEALTH PROTECTION IN LAZIO |
Project Q4141291 in Italy |
Statements
16,264.19 Euro
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32,528.38 Euro
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50.0 percent
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LIBERA UNIVERSITÃ MARIA SS. ASSUNTA (LUMSA)
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IL PROGETTO Ê VOLTO ALL'IMPOSTAZIONE DI CONTROLLI PIù EFFICACI E MENO COSTOSI PER LA SICUREZZA ALIMENTARE ED IL CONTENIMENTO DI COVID-19, CON IL SUPPORTO DELL'INTELLIGENZA ARTIFICIALE E DEL MACHINE LEARNING. IL PROGETTO, CHE COSTITUISCE LA PRIMA ESPERIENZA IN EUROPA E LA QUARTA NEL MONDO, SI BASA SULLA SEMPLIFICAZIONE DEI CONTROLLI, PER POI ARRIVARE ALLA REALIZZAZIONE DI UN DATA LAKE ALIMENTATO DA DATI ISTITUZIONALI E NON ISTITUZIONALI, RACCOLTI ANCHE ATTRAVERSO SOCIAL MEDIA E UN'APPOSITA APP. L'ELABORAZIONE DI TALI DATI VIENE EFFETTUATA ATTRAVERSO UN ALGORITMO DI TEXT MINING E MACHINE LEARNING PREDITTIVO CHE SEGNALA AI CONTROLLORI (COME ASL, NAS, ARPA LAZIO, ISTITUTO ZOOPROFILATTICO) POSSIBILI VIOLAZIONI E SITUAZIONI A RISCHIO DI NON-COMPLIANCE CHE MERITANO AZIONI DI SUPPORTO ALL'ADEMPIMENTO. INOLTRE, PER INCENTIVARE L'ADEMPIMENTO VOLONTARIO, GLI OPERATORI SARANNO INVITATI A PARTECIPARE AD UN MECCANISMO DI SMART INFORMATION DISCLOSURE (A BENEFICIO DEGLI UTENTI) CON FRAMING COMPORTAM (Italian)
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EL PROYECTO TIENE POR OBJETO ESTABLECER CONTROLES MÁS EFICACES Y MÁS BARATOS PARA LA SEGURIDAD ALIMENTARIA Y LA CONTENCIÓN DE LA COVID-19, CON EL APOYO DE LA INTELIGENCIA ARTIFICIAL Y EL APRENDIZAJE AUTOMÁTICO. EL PROYECTO, QUE ES LA PRIMERA EXPERIENCIA EN EUROPA Y EL CUARTO EN EL MUNDO, SE BASA EN LA SIMPLIFICACIÓN DE LOS CONTROLES, Y LUEGO LLEGA A LA REALIZACIÓN DE UN LAGO DE DATOS IMPULSADO POR DATOS INSTITUCIONALES Y NO INSTITUCIONALES, TAMBIÉN RECOPILADOS A TRAVÉS DE LAS REDES SOCIALES Y UNA APLICACIÓN. EL TRATAMIENTO DE ESTOS DATOS SE LLEVA A CABO A TRAVÉS DE UN ALGORITMO DE MINERÍA DE TEXTOS Y APRENDIZAJE AUTOMÁTICO PREDICTIVO QUE INDICA A LOS CONTROLADORES (COMO ASL, NAS, ARPA LAZIO, ISTITUTO ZOOPROFILATTICO) POSIBLES VIOLACIONES Y SITUACIONES DE RIESGO DE INCUMPLIMIENTO QUE MERECEN ACCIONES DE APOYO AL CUMPLIMIENTO. ADEMÁS, CON EL FIN DE FOMENTAR EL CUMPLIMIENTO VOLUNTARIO, SE INVITARÁ A LOS OPERADORES A PARTICIPAR EN UN MECANISMO INTELIGENTE DE DIVULGACIÓN DE INFORMACIÓN (EN BENEFICIO DE LOS USUARIOS) CON MARCOS QUE IMPLIQUEN (Spanish)
30 January 2022
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THE PROJECT AIMS TO SET UP MORE EFFECTIVE AND CHEAPER CONTROLS FOR FOOD SAFETY AND THE CONTAINMENT OF COVID-19, WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING. THE PROJECT, WHICH IS THE FIRST EXPERIENCE IN EUROPE AND THE FOURTH IN THE WORLD, IS BASED ON THE SIMPLIFICATION OF CONTROLS, AND THEN COMES TO THE REALISATION OF A DATA LAKE POWERED BY INSTITUTIONAL AND NON-INSTITUTIONAL DATA, ALSO COLLECTED THROUGH SOCIAL MEDIA AND AN APP. THE PROCESSING OF SUCH DATA IS CARRIED OUT THROUGH A TEXT MINING ALGORITHM AND PREDICTIVE MACHINE LEARNING THAT SIGNALS TO CONTROLLERS (SUCH AS ASL, NAS, HARP LAZIO, ISTITUTO ZOOPROFILATTICO) POSSIBLE VIOLATIONS AND SITUATIONS AT RISK OF NON-COMPLIANCE THAT DESERVE ACTIONS TO SUPPORT FULFILMENT. IN ADDITION, TO ENCOURAGE VOLUNTARY COMPLIANCE, OPERATORS WILL BE INVITED TO PARTICIPATE IN A SMART INFORMATION DISCLOSURE MECHANISM (FOR THE BENEFIT OF USERS) WITH FRAMING INVOLVES (English)
31 January 2022
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ROMA
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