Financial Application Data Union

I、Introduction

Since 2020, data has become one of the five major production factors in China.
Cultivating the market of data factors and boosting the high-quality development of digital economy have become the theme of the times, which makes private computing a popular technology in the industry to help companies understand their users and improve the quality of personalized services while protecting data privacy. Therefore, privacy computing will play an indispensable role in the process of data circulation and value release.
Financial credit is one of the fields with the deepest application of big data and the largest market scale. By virtue of various Internet data of users, it can help lenders assess credit risks and solve the problem of insufficient coverage of existing credit reference system. On the premise of effectively reducing the bad debt losses, it is contributed to provide preferential lending services for good users and promote inclusive finance. Then, how to establish a data alliance between government agencies and the Internet to promote the development of the data factor market? Please give your advice and work out the " Financial Application Data Union for Privacy Protection " plan.

Requirements
Participants shall develop a " Financial Application Data Union for Privacy Protection " proposal with the financial data provided by the committee. The project plan should put forward innovative ideas on data privacy security, enterprise data asset security, the incentive mechanism of participants, and the effective introduction of regulator.

Data Introduction
1. In this section, the relevant datasets which mainly consist of financial data are provided by the organizing committee. Participants are encouraged to refer to other public data resources as well to designing innovative project.
2. All data have been sampled and desensitized to protect privacy of users and data security.
3. Involving sensitive data, the reference data is allowed to be used in this competition only. Any data leakage or usage for other purposes is strictly prohibited.

II、Competition Rules

III、Review Methods

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.