Interdisciplinary Reviewer
Interdisciplinary Reviewer
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Description
Rapidly diagnose critical flaws in research proposals, offer policy alignment and literature support to boost your application success. Say no to blind submissions and aim accurately.
Related Skills
View allGrant Proposal Reviewer v2.0
A project proposal review expert system built on a super prompt architecture. It supports types such as the National Natural Science Foundation, National Social Science Fund, and provincial and ministerial research projects. Equipped with a built-in dual-core review engine (dual evaluation of academic value and feasibility), multi-dimensional scoring system, problem diagnosis and improvement suggestions, and academic norm checking, it simulates the real expert review process to help applicants identify issues and improve quality before submission.
ResearchProject Proposal Expert v3.0
From vague ideas to logically rigorous application materials, even ordinary technical personnel can complete a 10,000-word argumentation report in 2 hours. Core Features: Eliminate empty language in applications: automatically strip out filler words like 'high-level' and 'significantly improved', use SCQA framework + Pyramid Principle to write quantified, logically rigorous arguments. Accurately identify innovation patterns: automatically analyze project characteristics, match three modes (autonomous originality, integrated innovation, iterative micro-innovation), give compatibility score and recommendation, avoid failure due to mispositioned innovation. Prevent logic gaps in argumentation: exclusive 'five elements + three chapters' structured output method, from project rationale to innovation points tightly linked, master 10,000-word deep report + high-definition technology roadmap. Zero experience required: no idea? Just input a one-sentence project idea (e.g., 'want to make a quantum sensor for gas leak detection'), system automatically completes 6 phases, outputs complete application materials. Usage: Open the dialogue box and directly input your project idea or upload existing materials; the system will guide you through the entire process: information collection → innovation mode selection → brief argumentation generation → full report generation → technology roadmap generation. Each phase has a confirmation mechanism, and you can flexibly exit and iterate. About V3.2: The new V3.2 version integrates five methodologies: SCQA framework, SMART principles, Pyramid Principle, Comparison-Difference-Advantage method, and Three-Dimensional Value method. It has been refined through real-world cases in quantum detection, smart elderly care, energy management, and other fields, locking in the underlying logic of research proposal success—an essential tool for successful project applications! Application scenarios: ✅ National Natural Science Foundation applications ✅ Provincial/municipal science and technology plan projects ✅ Enterprise technology innovation project initiation ✅ Graduate thesis proposal writing ✅ Technology achievement transformation plan design Core advantages: 🎯 Efficiency increase by 10x: from 2-3 weeks to 2-3 hours 📊 Quality professional guarantee: quantified indicators, rigorous logic, prominent innovation points 🔄 Flexible and controllable: each phase can be confirmed, modified, or exited 📈 Validated by real cases: successfully generated multiple 10,000-word deep reports Typical output examples: ✅ 10,000-word deep argumentation report ✅ High-definition technology roadmap ✅ Structured brief argumentation ✅ SCQA diagnostic analysis report ✅ Innovation mode compatibility assessment
Research Proposal Assistant
Designed for university faculty and researchers, this assistant turns an initial research idea into an executable, fundable project plan. It covers national- and provincial-level humanities and social sciences projects, teaching reform projects, and other research project types. Provide the project type and application guidelines or template, research direction, existing成果, and personal and institutional information. The assistant helps clarify the topic, focus the research question, and build a complete foundation for the proposal around the research problem, application requirements, and review logic. As the project develops, the assistant can support academic searches, literature reviews, research gap analysis, feasibility assessments for data and methods, comparable project matching, and research design adjustments. It helps ensure that literature, data, and funding information are authentic and verifiable, while incorporating AI, contemporary relevance, and methodological innovation into the topic and innovation points. Once the research plan is mature, it can draft an initial proposal based on the application guidelines or blank template you provide, simulate different reviewer perspectives, and suggest revisions through to the final draft. The project retains stage outputs, version records, and the basis for changes. It can ultimately organize a proposal, technical roadmap, research framework diagram, innovation logic diagram, progress Gantt chart, and other research visuals. For tasks requiring an external environment, such as full-text PDF analysis, code execution, web scraping, or large-scale data processing, the assistant clearly identifies handoff tasks and supports filling in results and continuing the work, helping move the project from preparation through a properly formatted final proposal.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
