About Us
About DataRace
DataRace is a professional competition platform for artificial intelligence and data analytics based on real datasets and company data. The platform encourages solving real business challenges through data-driven and technological solutions.
DataRace brings together government institutions, private sector representatives, technology communities and data professionals within a unified ecosystem, ensuring the integration of knowledge, practice and innovation. The platform prioritizes applied solutions built on real datasets rather than purely theoretical approaches.
Competitions on DataRace:
- Are based on real company or institutional datasets
- Focus on practical and measurable business outcomes
- Apply a performance-based and transparent evaluation mechanism
- Objectively measure participants' technical and analytical skills
- Serve to identify and develop high-potential talent
The platform's strategic goal is to build a professional community in the fields of artificial intelligence and data in the country, systematize talent discovery and establish an innovative collaboration model with companies.
DataRace is not just a competition platform — it is the hub of data-driven innovation, applied AI solutions and professional competition.
Participation Rules and Principles
All parties participating in the DataRace platform — participants, partner companies and organizers — must adhere to the following principles.
Transparency and Fair Competition
All competitions are conducted based on pre-determined, publicly announced evaluation criteria. Participants are assessed with the same dataset, same time frame and same conditions. Evaluation results are based on objective metrics.
Data Confidentiality and Responsible Use
Datasets provided within the competition framework may only be used for competition purposes. Sharing data with third parties, using it for commercial purposes or unauthorized publication on open platforms is prohibited. Where necessary, participants must comply with confidentiality terms (NDA).
Ethical AI Principles
Models and solutions developed must comply with ethical and responsible AI approaches. Approaches that may cause discrimination or fall outside ethical boundaries are not accepted.
Technical Integrity and Originality
If instances of plagiarism, unauthorized use of code, manipulation of results or violation of rules are detected, the participant may be disqualified from the competition. Submitted solutions must be the participant's own work.
Reproducibility and Documentation
Solutions reaching the final stage or winning must be submitted in a technically reproducible and adequately documented form. The transparency of the code and methodology is one of the key criteria for companies.
Professional Conduct
Ethical and respectful communication principles must be observed within the platform and community environment. Professional conduct is one of DataRace's core values.