To advance entrepreneurship and innovation capacity, inspire cooperation spirit among college students, find outstanding talents and projects of data economy, no specific theme is designated in this section. Participants are allowed to self-determine the topics and directions. All the project shall relate to big data, surrounding the topics of "industrial datamation" and "data industrialization". The organizing committee will review the project theme. For the unqualified topic, the committee keeps the right to require participants to modify or disqualify them. Any project topic that is against the national laws and regulations is forbidden.
Surrounding hot issues of society, national strategies as well as cutting-edge science and technologies, participants are encouraged to discover challenges and difficulties that industries faced, design solutions or plans via big data technologies. Reference topics: financial business, such as customer acquisition, products, risk control, customer service, operation, process approval, etc. Leading-edge technologies, for instance, information extraction of financial documents, machine reading comprehension, optical character recognition, and understanding of voice and emotional for customers in financial scenes.
1. The organizing committee does not provide dataset for this section. Participants are encouraged to obtain the data by themselves.
2. All data shall be sampled and desensitized to protect privacy of users and data security.
3. The data shall be authentic and accurate, without infringing upon the rights and interests of any third party. Any violation of laws or regulations is forbidden.
II、Competition RulesPreliminary Round
The contest observes a principle of being fair, equitable and open and strictly abides by the review procedures. It follows standard operations to ensure the objectivity and authenticity of the review results.
Rules of review
1. The review board holds the final say and legal binding effect;
2. Preliminary and semi-final contests: At least five experts shall be involved in review for each project.
3. Final contest: At least nine experts shall be involved in review for each project.
Requirements for review
1. Review board: The expert team for review can comprise university or college professors, scholars from scientific research institutions, industry experts, investors from venture investment institutions, persons in charge of listed companies, financial experts and management experts.
2. Filing of review experts: All experts engaged in review for the contest shall file their profiles for record to the contest organizing committee, including name, age, gender, organization, position, contact information, qualification and certificates of honor and background introduction.
3. Archiving of review documents: The review scoring sheet shall include the reviewer’s signature and review comments.
4. Review method: Contesting projects are scored by scoring sheets, with a full credit of 100 points. Each reviewer scores the project separately. After all scoring sheets are ready, the highest and the lowest scores are removed and the weighted average of the rest scores is the final score of the contestant.
5. Review dimensions and weights
● Technology, algorithm and product (25 points)
● Innovativeness points and implementation scheme (30 points)
● Project value and feasibility (20 points)
● Industry and market significance (10 points)
● Data analysis results(5 points)
● Team performance (5 points)
● Financial performance (5 points)
Total: 100 points
About scoring items：
(1) Technology, product and algorithm: Descriptions of product development and production strategies, industry characteristics, focus of competition, major algorithm, technical indicators and key technologies which primarily involve the technology, product and background, as well as the current progress.
(2) Innovative points and implementation scheme: Innovative points of the project or product, the prospective marketing strategies of the project or product, product profit models, and whether there is a detailed implementation plan in place.
(3) Industry and market significance: Market positioning and demand analysis, industry history and outlook, rationality of the marketing positioning, forecast of the future market sales, technical barriers to the industry, trade barriers and policy restrictions.
(4) Project value and feasibility: Commercial value, social value and positive influence of the project; feasibility.
(5) Data analysis results: Data analysis method, analysis result description, self-obtained data description (if any).
(6) Team performance: Composition of the core team, and whether the background, qualification and expertise of the team members are capable of supporting the whole project throughout the R&D and innovation.
(7) Financial performance: Demonstration of the history and prospective financial performance of the company, demonstration of the expected financial performance of the team, whether there is a financial barrier, and capital usage details including fixed asset investment, ongoing construction, R&D investment and management fees.
(8). Review scoring basis: Experts will focus on the submitted project proposals and refer to the review dimensions to single out outstanding teams.