University of Veterinary Medicine Budapest

The focus of the research, development and innovation activities is to participate in national and international projects aiming at the safety of the food chain, and thus, due to the profile of the Institute, it mainly targets the following research areas related to food chain safety:

• Data analytics research (data mining, text mining, network mining, artificial intelligence applications)
• Forecasting (identifying emerging risks, epidemiological modelling)
• Decision-making methodological research (cost-benefit, risk-benefit analyses, risk assessment)

Research topic ideas, search for international and national partners

Since its establishment, the Institute has been actively seeking opportunities for collaboration both within and outside the University. Working relationships have been established with several universities (e.g. University of Debrecen, Hungarian University of Agriculture and Life Sciences) and for-profit organisations, businesses. The exploration of research topic ideas and the search for national and international partners is ongoing.

Digitalization project proposals identified by DFI 

• A system for early warning of food chain safety hazards and identification of emerging risks to support food business operators
• Systems for food chain safety health technology assessment, cost-benefit and risk-benefit analyses
• Food chain safety, quality management decision support systems for food chain managers
• A secure, credible, blockchain-based traceability pilot system for one or two product lines
• Meat inspection digitalization
• Developing digital food chain monitoring subsystems for the authority, in cooperation with the authority
• Assessing food safety and nutritional impacts on consumers at the molecular level using data-driven, AI-assisted methods.