{
  "schema_version": "1.0",
  "definition_version": "2026-10-25.1",
  "source": "arkansas-reference/ara-growth-areas.md §3.2: TEConomy's Data Science & Machine Learning Applications and Cyber-Physical Systems & Security competencies",
  "interpretation": "AI/ML, data analytics and cybersecurity apply across all seven ARA sectors, whether or not named in a sector heading. Applicability is not evidence of a validated project, customer or additional research funding. Missing bibliometric links do not establish missing capability.",
  "capabilities": [
    {
      "id": "AI_ML",
      "name": "Artificial intelligence and machine learning"
    },
    {
      "id": "DATA_ANALYTICS",
      "name": "Data analytics and research data systems"
    },
    {
      "id": "CYBER_TRUST",
      "name": "Cybersecurity and trusted systems"
    }
  ],
  "status_definitions": {
    "existing_award_precedent": "An identified public award supports this application; no inference about operational delivery, commercial success or partner endorsement.",
    "proposed_application": "Illustrative testable application for stakeholder validation; no claim of an existing Arkansas project or demand commitment."
  },
  "sectors": [
    {
      "sector_id": "ARA1",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Evaluate clinical decision support and imaging models on representative rural populations.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/10-care.md; strengths/portfolio.csv, applied computer vision opportunity"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Link rural-care, maternal-health and clinical-trial data with documented access and outcome definitions.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/10-care.md"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Test privacy-preserving health-data sharing, consent and access controls across partners.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    },
    {
      "sector_id": "ARA2",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Evaluate models for converter control, reliability and fault detection.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/09-power.md; proposed enabling application"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Analyze device, packaging and fabrication measurements with reproducible test data.",
          "status": "proposed_application",
          "source": "strengths/f-assets.csv, MUSiC; proposed application"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Test security and resilience of connected converters and grid controls.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    },
    {
      "sector_id": "ARA3",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Evaluate routing, fleet and autonomous-logistics models against operational test cases.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/07-move.md"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Create usable freight and testbed datasets with named data owners and access agreements.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/07-move.md"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Evaluate fleet telemetry integrity and security of connected logistics systems.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    },
    {
      "sector_id": "ARA4",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Evaluate materials-discovery and process-optimization models in selected application niches.",
          "status": "proposed_application",
          "source": "strengths/portfolio.csv, materials niches; proposed enabling application"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Use interoperable materials-characterization and shared-facility data.",
          "status": "proposed_application",
          "source": "strengths/f-assets.csv; proposed enabling application"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Protect shared design, instrumentation and research-computing workflows.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    },
    {
      "sector_id": "ARA5",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Cultivate IQ's data-driven farm-to-market platform provides an existing convergence precedent.",
          "status": "existing_award_precedent",
          "source": "data/st-plan/award-domain-links.json, NSF2236302 and NSF2345176"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Evaluate integrated crop, irrigation and aquifer measurements against farm decisions.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/06-grow.md"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Test farm-data permissions, sensor integrity and connected agricultural systems.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    },
    {
      "sector_id": "ARA6",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Cultivate IQ links food systems and data-driven regional market coordination.",
          "status": "existing_award_precedent",
          "source": "data/st-plan/award-domain-links.json, NSF2236302 and NSF2345176"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Evaluate food-safety, nutrition and production data for a named research or producer decision.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/05-feed.md"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Test traceability-data integrity and controlled access across food-production partners.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    },
    {
      "sector_id": "ARA7",
      "applications": [
        {
          "capability_id": "AI_ML",
          "example": "Cultivate IQ provides a local data-driven food-supply-chain award precedent; retail and consumer applications require separate validation.",
          "status": "existing_award_precedent",
          "source": "data/st-plan/award-domain-links.json, NSF2236302 and NSF2345176"
        },
        {
          "capability_id": "DATA_ANALYTICS",
          "example": "Evaluate inventory, operations, retail and consumer analytics with usable company data.",
          "status": "proposed_application",
          "source": "st-plan/plan-v2/text/08-supply.md"
        },
        {
          "capability_id": "CYBER_TRUST",
          "example": "Test secure partner-data exchange, commercial confidentiality and supply-chain system resilience.",
          "status": "proposed_application",
          "source": "arkansas-reference/ara-growth-areas.md §3.2; proposed sector application"
        }
      ]
    }
  ],
  "shared_infrastructure": "Secure research data environments, computing, facilities and staff are conditions for using the capabilities. They remain distinct from the seven sectors and the capability-to-application evidence.",
  "next_validation": "For each proposed application, identify an owner, user decision, dataset/access constraints, validation partner and success criterion before calling it a plan commitment."
}