Innovation and Entrepreneurship

Age Limit: 13-17
(those who turn 18 by December 1, 2025, and will not turn 13 by November 1, 2025)

Age Limit: 17-25
(those who turn 26 by December 1, 2025, and will not turn 17  by November 1, 2025)

2 participants and 1 mentor

Acquired skills
A sustainable and technological future: through this category, participants develop skills in innovation, artificial intelligence, smart systems, and eco-friendly technologies—core competencies 
required  in the future labor market.
Foundation for economic and social ınnovation: projects foster the growth of technological entrepreneurship within the country, encourage startup-oriented ideas, and contribute 
to the creation of future job opportunities
Readiness for national and international competition: youth trained in this field gain the foundational knowledge needed to participate in international competitions, scholarship programs,
and global technology events.
Experience-based learning: participants go beyond theoretical knowledge by gaining hands-on experience with platforms such as arduino, micro:bit, and others, as well as building prototypes.
Interdisciplinary approach: ın the process of developing projects, technology is integrated with biology, physics, chemistry, geography, computer science, mathematics, and social sciences.
This promotes interdisciplinary thinking among learners.
Research and innovation skills: during project development, students enhance their research capabilities, including problem analysis, hypothesis generation, testing, and data analysis.
Teamwork and presentation skills: participants gain experience in working collaboratively, exchanging ideas, presenting their projects, and justifying their solutions.

Interdisciplinary and Transdisciplinary Integration
Biology – Ecosystems, their conservation, biodiversity;
Ecology – Environmental protection;
Chemistry – Factors negatively affecting the environment, chemical substances causing pollution;
Physics – Establishment and use of alternative energy sources;
Informatics – Artificial intelligence and data processing, data analysis and decision-making systems using AI algorithms;
Mathematics – Conducting experiments and tests, as well as performing various measurements and calculations in design processes;
Engineering and Design – Providing design in the preparation of projects and building various prototypes;
Entrepreneurship and Finance – The business potential of the project, existence of a simple business plan, evaluation of funding opportunities, market access and marketing perspective.