Scientific fund application strategy generation system and method

Abstract

The invention discloses a scientific fund application strategy generation system and method. The method comprises the following steps: S1, systematically checking and structuring multi-modal academic assets of researchers; s2, performing cross-domain application mapping on the academic assets by using a subject knowledge graph, and exploring potential application values of the academic assets in non-traditional fields; s3, reversely analyzing the target fund, identifying key challenges and corresponding capability demand points faced by the subsidization field of the target fund, and forming an opportunity gap; and S4, matching the mapped academic assets of the researchers with the ability requirements of the fund, and generating a personalized application strategy report containing a core argument suggestion, an advantage presentation mode and an ability reinforcement suggestion for the user. Compared with traditional keyword matching, the method has the advantages that non-obvious application opportunities can be revealed by actively checking and relocating the value of the academic assets for the researchers, the researchers can be effectively guided to construct application documents with higher persuasive and competitive power, and thus the subsidization success rate is remarkably increased.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence and information science and technology, and in particular to a system and method for generating science grant application strategies. Background Technology

[0002] With the continuous development of technology and the popularization of the internet, information is growing at an exponential rate. While abundant information resources can satisfy our information needs, they also increase the difficulty and time cost of obtaining effective information. Researchers and students have a great need for research funding, but the inability to effectively target and match applications with funding opportunities and uncover potential opportunities reduces the success rate of applicants in obtaining funding. Summary of the Invention

[0003] The purpose of this application is to provide a system and method for generating science grant application strategies to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, this application provides the following technical solution: a science grant application strategy generation system and method, including S1: systematically inventorying and structuring researchers' multimodal academic assets; S2: Utilize subject knowledge graphs to perform cross-domain application mapping of the academic assets and explore their potential application value in non-traditional fields; S3: Reverse analysis of the target fund to identify the key challenges and corresponding capability requirements in the areas it funds, thus identifying opportunity gaps; S4: Match the researcher's mapped academic assets with the fund's capability requirements to generate a personalized application strategy report for the user, which includes suggestions on core arguments, ways to present strengths, and suggestions on strengthening capabilities.

[0005] Preferably, the academic assets include knowledge, experimental and computational skills, available data resources, and collaborative networks.

[0006] Preferably, the specific steps of S1 are as follows: establishing a fund strategy generation platform; collecting feature information of a designated fund; receiving a fund application request sent from a researcher's receiving terminal; and filtering and evaluating the researcher's academic assets based on the fund application request and generating a processing result.

[0007] Preferably, the specific steps of S2 are as follows: the fund strategy generation platform uses a subject knowledge graph to perform cross-domain application mapping on the academic assets, explore their potential application value in non-traditional fields, and generate processing results.

[0008] Preferably, the feature information includes the fund's research direction, bottlenecks, scale, and talent needs.

[0009] Preferably, the fund strategy generation platform performs reverse analysis on the target fund based on the fund's characteristic information, identifies the key challenges and corresponding capability requirements in the areas it funds, and forms opportunity gaps.

[0010] Preferably, the fund strategy generation platform matches the researcher's mapped academic assets with the fund's capability requirements, calculates the similarity of the match using a preset algorithm, generates a personalized application strategy report for the user that includes suggestions on core arguments, ways to present advantages, and suggestions on strengthening capabilities, and pushes the personalized application strategy report to the researcher's receiving terminal.

[0011] In summary, the technical effects and advantages of this invention are as follows: This invention employs a scientific grant application strategy generation system that goes beyond traditional keyword matching. By proactively assessing and repositioning the value of researchers' academic assets, it can reveal non-obvious application opportunities. The executable application strategies provided by this system effectively guide researchers in constructing more persuasive and competitive application documents, thereby significantly improving the quality of application materials and the success rate of grant applications. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a schematic diagram of the structure of a science grant application strategy generation system and method in an embodiment of this application. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] In the description of this disclosure, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," "top," and "bottom," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this disclosure and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0016] It should also be noted that all standard parts used in this application are commercially available, and can be custom-made according to the description and drawings. Unless otherwise expressly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this disclosure based on the specific circumstances, and unless explicitly limited, machinery, parts, and equipment can all adopt conventional models in the prior art.

[0017] In this document, the term "comprising" is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0018] Example: Reference Figure 1 The system and method for generating science grant application strategies, as shown, include the following steps: S1: Systematically take stock of and structure researchers' multimodal academic assets; S2: Utilize subject knowledge graphs to perform cross-domain application mapping of the academic assets and explore their potential application value in non-traditional fields; S3: Reverse analysis of the target fund to identify the key challenges and corresponding capability requirements in the areas it funds, thus identifying opportunity gaps; S4: Match the researcher's mapped academic assets with the fund's capability requirements to generate a personalized application strategy report for the user, which includes suggestions on core arguments, ways to present strengths, and suggestions on strengthening capabilities.

[0019] Through the above-described technical solution of the present invention, the academic assets include knowledge, experimental and computational skills, possessed data resources, and collaborative networks.

[0020] The specific implementation steps of this invention are as follows: A funding strategy generation platform is established. This platform collects feature information from designated funds. It receives funding application requests from researchers' receiving terminals. The platform filters and evaluates researchers' academic assets based on the application requests and generates processing results. It utilizes a subject knowledge graph to perform cross-domain application mapping of the academic assets, uncovering their potential application value in non-traditional fields and generating processing results. The feature information includes the fund's research direction, bottlenecks, scale, and talent requirements. The platform reverse-engineers the target fund based on its feature information, identifying key challenges and corresponding capability requirements in its funding areas, thus creating opportunity gaps. It matches the mapped academic assets of researchers with the capability requirements of the fund, calculates the similarity of the matches using a preset algorithm, and generates a personalized application strategy report for the user, including core argument suggestions, strength presentation methods, and capability enhancement suggestions. This personalized application strategy report is then pushed to the researcher's receiving terminal. This scientific funding application strategy generation system surpasses traditional keyword matching by proactively inventorying and repositioning the value of researchers' academic assets, revealing non-obvious application opportunities. The executable application strategies provided by this system can effectively guide researchers to construct more persuasive and competitive application documents, thereby significantly improving the quality of application materials and the success rate of funding.

[0021] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system and method for generating science grant application strategies, characterized in that: Includes the following steps: S1: Systematically take stock of and structure researchers' multimodal academic assets; S2: Utilize subject knowledge graphs to perform cross-domain application mapping of the academic assets and explore their potential application value in non-traditional fields; S3: Reverse analysis of the target fund to identify the key challenges and corresponding capability requirements in the areas it funds, thus identifying opportunity gaps; S4: Match the researcher's mapped academic assets with the fund's capability requirements to generate a personalized application strategy report for the user, which includes suggestions on core arguments, ways to present strengths, and suggestions on strengthening capabilities.

2. The science grant application strategy generation system and method according to claim 1, characterized in that: The academic assets include knowledge, experimental and computational skills, available data resources, and collaborative networks.

3. The science grant application strategy generation system and method according to claim 1, characterized in that: The specific steps of S1 are as follows: a fund strategy generation platform is established; the fund strategy generation platform collects feature information of a specified fund; the fund strategy generation platform receives fund application requests sent from the researcher's receiving terminal; the fund strategy generation platform screens and evaluates the researcher's academic assets based on the fund application requests and generates processing results.

4. The science grant application strategy generation system and method according to claim 1, characterized in that: The specific steps of S2 are as follows: the fund strategy generation platform uses a subject knowledge graph to perform cross-domain application mapping on the academic assets, explore their potential application value in non-traditional fields, and generate processing results.

5. The science grant application strategy generation system and method according to claim 3, characterized in that: The characteristic information includes the fund's research direction, bottlenecks, scale, and talent needs.

6. The science grant application strategy generation system and method according to claim 1, characterized in that: The fund strategy generation platform reverse analyzes the target fund based on its characteristic information, identifies the key challenges and corresponding capability requirements in the areas it funds, and identifies opportunity gaps.

7. The science grant application strategy generation system and method according to claim 1, characterized in that: The funding strategy generation platform matches researchers' mapped academic assets with the funding's capability requirements, calculates the similarity of the matches using a preset algorithm, generates a personalized application strategy report for users that includes suggestions on core arguments, ways to present strengths, and suggestions for strengthening capabilities, and pushes the personalized application strategy report to the researcher's receiving terminal.

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