{
  "title": "Enhanced NSF Postdoctoral Reporting via Synthetic Intelligence Language Processing",
  "version": "v1",
  "doi": "10.5281/zenodo.10160656",
  "doi_url": "https://doi.org/10.5281/zenodo.10160656",
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  "publication_date": "2023-11-20",
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    "type": "publication",
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  },
  "creators": [
    {
      "name": "Friedman, Daniel Ari",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "This report presents an approach for enhancing postdoctoral reporting at the National Science Foundation (NSF) using generative intelligence systems. The proposed system integrates updatable profiles, intelligent processing prompts, and a dynamic reporting system to transform how postdocs report their research progress and collaborations. The system's design focuses on operational efficiency, real-time evaluation, and a consistent reporting framework. Implementation strategies include a user-centric interface, robust cyber/cognitive security measures, and adaptive evolution. The goal is to streamline postdoctoral reporting, reduce administrative burdens, and enable more effective monitoring and support of postdoctoral research activities.",
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  "related_resources": [],
  "github_repo": "",
  "source": "zenodo-only",
  "checked_at": "2026-06-30T23:25:19Z",
  "domain": "Computational",
  "type": "Paper",
  "methods": [
    {
      "name": "Software pipeline design",
      "description": "Applied software pipeline design approach"
    },
    {
      "name": "Data-driven analysis",
      "description": "Applied data-driven analysis approach"
    }
  ],
  "key_findings": [
    "This report presents an approach for enhancing postdoctoral reporting at the National Science Foundation (NSF) using generative intelligence systems..",
    "The proposed system integrates updatable profiles, intelligent processing prompts, and a dynamic reporting system to transform how postdocs report their research progress and collaborations..",
    "The system's design focuses on operational efficiency, real-time evaluation, and a consistent reporting framework.."
  ],
  "related_papers": [
    "2023_NaturalAIBased",
    "2025_AuBI",
    "2025_DiscoveryEngine"
  ]
}