Глобальный форум по продовольственной безопасности и питанию (Форум FSN)

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Д-р. Malak Elbasyouny

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Организация: National Food Safety Authority of Egypt/Dr_Fruita Academy/Environmental Institute of Research and Studies
Страна: Египет
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    • Д-р. Malak Elbasyouny

      National Food Safety Authority of Egypt/Dr_Fruita Academy/Environmental Institute of Research and Studies
      Египет

      Recommendations for Enhancing CFS-FFA Implementation

      1. Policy Integration:
        • Encourage governments to integrate CFS-FFA principles into national policies and strategies for food security and crisis management.
        • Strengthen policy coherence across humanitarian aid, development, and human rights frameworks.
      2. Capacity Building:
        • Provide technical and financial support to local stakeholders for implementing CFS-FFA principles.
        • Facilitate knowledge sharing through regional and global platforms.
      3. Scaling Grassroots Innovations:
        • Promote grassroots innovations that demonstrate success in addressing food security challenges in protracted crises.
        • Provide platforms for grassroots organizations to share experiences and receive support for scaling their initiatives.

    • Д-р. Malak Elbasyouny

      National Food Safety Authority of Egypt/Dr_Fruita Academy/Environmental Institute of Research and Studies
      Египет

      1. Use Cases for the ATIO KB

      ATIO KB has the potential to address a range of critical needs in agrifood systems. Key use cases include:

      • Policy support and decision-making:
        Policymakers could use the KB to identify technologies and innovations tailored to specific geographic, economic, or cultural contexts. Example: Finding solutions that address climate-resilient farming in arid regions.
      • Facilitating Technology Adoption:
        Providing comprehensive comparisons of innovations, including readiness levels, scalability, and barriers to adoption, for instance, comparing solar irrigation technologies based on cost-efficiency, energy requirements, and maintenance.
      • Monitoring and Evaluation:
        Using statistics and evidence to correlate innovation adoption rates with parameters such as co-design, inclusivity, or capacity-building efforts.
      • Knowledge sharing for researchers and entrepreneurs:
        The KB could serve as a one-stop platform for learning about new market trends, grassroots innovations, and best practices for agripreneurs seeking to scale sustainable solutions.

      • 2. Policy and Social Innovation

      • Importance and Examples:

      • Policy Innovation: The KB could feature case studies or summaries of innovative policies, such as subsidy reforms for sustainable farming or public-private partnerships that fund agri-tech adoption.
      • Social Innovation: Highlighting cooperative models, digital farmer collectives, or gender-sensitive agricultural programs that have improved outcomes.

      • 3. Grassroots Innovations

      • Importance:

      • Grassroots innovations are critical as they often address localized challenges with practical, low-cost solutions. Their inclusion ensures inclusivity and encourages bottom-up innovation.

      • Additional Dimensions:

      • Cultural and Social Context: Include details on how the innovation aligns with local traditions or practices.
      • Scalability and Replicability: Highlight pathways for scaling the innovation or adapting it to other regions.
      • Community Impact: metrics on adoption, productivity improvement, or environmental benefits.

      • Challenges Faced: Real-world barriers that grassroots innovators encountered, such as funding gaps or policy obstacles.

        4. AI-Generated Content

      • AI-generated content must add meaningful value without compromising accuracy.
      • The AI-generated summaries should be reviewed for technical depth and regional contextualization.

      • Suggestions for Improvement:

      • Allow users to flag inaccuracies or submit corrections for AI-generated text.
      • Include a confidence score or brief explanation of how AI categorized or enriched the record.