DEMETER - Verfahren und Systeme zur Identifizierung von neuen Lebensmittelrisiken
Laufzeit: 01.04.2017 - 30.04.2020
Forschungszweck: Angewandte Forschung
Stichworte: Lebensmittelsicherheit, Risikoabschätzung, Datenverarbeitung
The early identification of emerging risks in the food (and feed) chain is of paramount importance if the European consumer is to be protected through timely and effective preventive measures. lncreased global trade is making food chains more complex, both in terms of geographical spread and the rapid distribution of goods. The increasing complexity of the chain makes it more difficult to oversee and assess all drivers of change for food safety risks in a particular chain. As such, yesterday's emerging issue in one area may be tomorrow's crisis in a different place. Dealing with this complexity requires a high degree of scientific and technical expertise.The use of new data mining and data science solutions (digital technologies) can help to overcome current constraints to enable identification of emerging food safety issues at an early stage so that timely measures can be taken to prevent these becoming a food safety risk. The advantages of digital / data-driven solutions are numerous. The process of emerging risks detection in the European Union must therefore utilise digital technologies and the application of 'big data' analysis to identify emerging food safety risks across an increasingly complex and geographically dispersed food webs. The objectives and research proposed in this project proposal are specifically designed to support current (and future) EFSA procedures for emerging risks identification by providing a set of integrated, open-source solutions that will allow EFSA and EU Member State authorities to share data, knowledge and methods in a rapid and effective manner. This main objective will be achieved by activities carried out in five integrated work packages (WP).