Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the koko-analytics domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /hum/web/sitestest.hum.uu.nl/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the formidable domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /hum/web/sitestest.hum.uu.nl/htdocs/wp-includes/functions.php on line 6114

Deprecated: Creation of dynamic property JQueryColorbox::$colorboxSettings is deprecated in /hum/web/sitestest.hum.uu.nl/htdocs/wp-content/plugins/jquery-colorbox/jquery-colorbox.php on line 93

Deprecated: Creation of dynamic property JQueryColorbox::$colorboxThemes is deprecated in /hum/web/sitestest.hum.uu.nl/htdocs/wp-content/plugins/jquery-colorbox/jquery-colorbox.php on line 97

Deprecated: Creation of dynamic property JQueryColorbox::$colorboxUnits is deprecated in /hum/web/sitestest.hum.uu.nl/htdocs/wp-content/plugins/jquery-colorbox/jquery-colorbox.php on line 121

Deprecated: Creation of dynamic property JQueryColorbox::$colorboxTransitions is deprecated in /hum/web/sitestest.hum.uu.nl/htdocs/wp-content/plugins/jquery-colorbox/jquery-colorbox.php on line 127
Jean Monnet Network on enforcement of EU law (EULEN) | Effective enforcement and risk-based inspections supported by artificial intelligence (by Luca Megale)

Jean Monnet Network on enforcement of EU law (EULEN)

YRP Projects

Effective enforcement and risk-based inspections supported by artificial intelligence (by Luca Megale)

The project focuses on setting up innovative risk-based food safety inspections with the support of artificial intelligence and machine learning. The scope is to plan more targeted inspections, reduce related costs (for operators and public authorities, including the health system) and support voluntary compliance, which are all central elements for effective and efficient enforcement.

Researcher: 

Luca Megale – (l.megale@lumsa.it)

University of Rome LUMSA