SME Review Process

The SME review process is a pivotal component of DeSciAi, complementing AI evaluations with expert human insights to ensure a comprehensive and reliable assessment of research proposals. SMEs collaborate directly with the platform to validate the technical, scientific, and practical aspects of each submission.

Key Features of the SME Process

  1. Human Oversight and Expertise

    • SMEs provide critical analysis to evaluate the feasibility, methodology, and potential impact of research proposals.

    • They ensure that innovative ideas meet practical and ethical standards, bridging gaps that AI may overlook.

  2. Collaborative Refinement

    • Researchers receive actionable feedback from SMEs, helping them refine their proposals.

    • This iterative process enhances the overall quality of projects before moving to funding stages.

  3. Transparency and Accountability

    • All SME reviews and feedback are documented and made available to stakeholders, promoting trust and clarity.

    • SMEs are incentivized for their contributions, ensuring quality and engagement.

  4. Cross-Disciplinary Input

    • The platform engages SMEs from diverse fields to evaluate proposals requiring multidisciplinary perspectives.

Integration with AI Evaluations

The SME process is designed to work in tandem with AI-driven proposal evaluations:

  • SMEs validate AI-generated assessments, ensuring a balanced blend of automation and human judgment.

  • They provide nuanced feedback in areas where AI analysis may lack depth or context.

SME Selection and Incentives

  • SMEs are chosen based on their expertise, credentials, and peer recognition in their respective fields.

  • They are incentivized through rewards, including governance tokens, for active participation and high-quality contributions.

The SME review process adds a critical layer of human insight to DeSciAi, ensuring that research proposals are evaluated holistically and align with the platform’s vision for impactful and innovative science.

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