Project Summary
DTTI Action in Food is a European project implemented with the support of the European Institute of Innovation and Technology (EIT Food) as part of the EIT Deep Tech Talent Initiative program.
Project Goal
The project aims to develop youth digital skills and integrate modern technologies into the educational process. The EIT Deep Tech Talent Initiative program combines basic knowledge of artificial intelligence and programming with elements of entrepreneurship and project management. The primary goal is to guide students in developing innovative solutions using artificial intelligence for:
- Optimizing the consumption of agri-food resources;
- Enhancing food safety and protection;
- Digitalizing the supply chain.
Target Audience
Youth aged 16 to 20 years old.
Project Objectives
- Provide students with access to modern knowledge in the field of artificial intelligence.
- Promote the development of data analysis, programming, and project management skills.
- Prepare innovative solutions for the agri-food sector using artificial intelligence.
- Integrate modern technologies into the educational process.
Expected Results
- Development of two educational programs: coding (52 academic hours) and non-coding (32 academic hours).
- Implementation of 23 modules covering the life cycle of an AI project, data literacy, computer vision concepts, and the analysis of problems and opportunities.
- Involvement of over 500 students in the new educational modules.
- Development of AI prototypes and the creation of educational materials using innovative technologies.
Educational Content
The educational program offers two tracks:
- Coding – aimed at students who want to master programming and AI prototyping.
- Non-coding – for students focusing on data analysis and conceptual solution development.
Within the program, students study the life cycle of an AI project, the basics of working with data, computer vision principles, and ways to address current issues in the agri-food sector.
Students choosing the non-coding track create datasets, image libraries, and refine models. Those opting for the coding track focus on programming and developing AI prototypes.
Project Donor
The project is initiated by the European Institute of Innovation and Technology with the support of Intel.
Project Partners
The program is implemented in ten European countries: Albania, Bulgaria, Czech Republic, France, Greece, Italy, Portugal, Romania, Spain, and Ukraine.
Implementation Level
Departmental.
Project Coordinator
Lyudmyla Fonar, PhD in Technical Sciences, Associate Professor of the Department of Artificial Intelligence and Data Analysis, e-mail: fonar@op.edu.ua.
Project Participants
- Olena Zhuran, PhD in Economics, Associate Professor of the Department of Artificial Intelligence and Data Analysis, e-mail: o.a.juran@op.edu.ua;
- Kostyantyn Afanasenko, Researcher at the Department of Artificial Intelligence and Data Analysis;
- Yuliia Honcharenko, Researcher at the Department of Artificial Intelligence and Data Analysis;
- Volodymyr Pecherskyi, Researcher at the Department of Artificial Intelligence and Data Analysis;
- Alisa Stepanova, Researcher at the Department of Artificial Intelligence and Data Analysis;
- Maryna Chorna, Researcher at the Department of Artificial Intelligence and Data Analysis.
Project Languages
Ukrainian, English.