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Research

Platform and domain research in one integrated model

Core Platform

The common research layer coordinates data, models, services, and evaluation.

Builds the shared digital backbone that powers ASPIRE research, data exchange, and human-centered tools. In practice, this shared layer hosts common methods and services that can be adapted in Mobility, Manufacturing, Nursing, and Agriculture without fragmenting the research architecture.

  • Digital Twin (DT) lifecycle orchestration: The shared platform coordinates how data, models, and operational context move across the Digital Twin lifecycle.

  • Artificial Intelligence (AI) models: AI models are developed as reusable platform components rather than isolated single-domain outputs.

  • Communication and edge-cloud coordination: The research agenda includes communication pathways that connect field settings, platform services, and distributed computation.

  • Core services, APIs, and SDKs: Core services, Application Programming Interfaces (APIs), and Software Development Kits (SDKs) provide reusable interfaces for project components.

Domain Programs

Each Domain Program applies the shared platform in context and contributes new evidence back to the common system.

Mobility Systems

Designs adaptive mobility solutions that improve access, safety, and resilience in transportation.

  • Transit equity
  • Operations optimization
  • Accessibility

Manufacturing Systems

Develops resilient manufacturing platforms and workforce-centered production workflows.

  • Smart factories
  • Human-machine teaming
  • Quality assurance

Nursing Systems

Creates digital tools to support nursing practice, care coordination, and patient outcomes.

  • Care workflows
  • Clinical decision support
  • Patient safety

Agriculture Systems

Builds adaptive platforms for sustainable and resilient agricultural operations.

  • Precision agriculture
  • Sustainability
  • Supply chains

Bidirectional integration model

The shared platform and the four Domain Programs are linked through a recurring cycle of collection, modeling, deployment, and feedback.

  1. Step 1

    Sense

    Collect real-time field data.

  2. Step 2

    Integrate

    Align data, models, and services.

  3. Step 3

    Evaluate

    Test methods in domain settings.

  4. Step 4

    Refine

    Feed evidence back into the platform.

Platform to domains

Shared orchestration, models, and services are adapted in each domain as field conditions and use cases become more concrete.

Domains to platform

Domain PoCs feed evidence back into platform design so interfaces, services, and evaluation practices can improve across the project as a whole.