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University Collaboration Wiki

This wiki is the operating layer for university collaboration work around RapidDraft. It is intentionally not a university directory. In the merged v2 structure, the primary questions are:

  • What focus area matters right now?
  • What work package turns that focus into a collaboration-ready scope?
  • What prepared opportunity or live execution path should move next?
  • Which leads should we qualify or contact?
  • What evidence, decisions, or authoring guidance do we need to support the move?

Operating Model

The wiki is organized around five action layers:

  1. Focus Areas - problem-led pages plus method and capability pages
  2. Work Packages - the reusable technical collaboration units, plus collaboration modes
  3. Execution - prepared opportunities, real in-motion execution once it starts, and support maps
  4. Leads - action-facing people and labs that can execute the work
  5. Resources - coverage artifacts, decisions, evidence, and authoring guidance

People, labs, programs, and institutions are still supporting entities. The main story is the path from focus area to work package to execution.

flowchart LR
  A["Focus Area"] --> B["Work Package"]
  B --> C["Execution Path"]
  C --> D["Lead"]
  D --> C
  E["Resources"] --> A
  E --> B
  E --> C

What To Read First

  • Start with Focus Areas if you are framing what RapidDraft should learn or solve.
  • Start with Work Packages if you want the actionable collaboration units.
  • Start with Execution if you want the next move, the prepared queue, or the support maps.
  • Start with Leads if you already know the work package and need people or labs.
  • Start with Resources if you need source evidence, routing history, or authoring guidance.

Design Rules

  • The primary operating page type is Work Package.
  • The primary execution object is Opportunity.
  • The primary relationship object is Person.
  • Labs cluster repeated signal; institutions stay thin and secondary.
  • Resources support action, but should not become the main working memory.

First Content Wave

The current wave still centers on the six strongest focus areas surfaced in the reports:

  • Drawing intelligence
  • DFM and manufacturing reasoning
  • CAE and simulation automation
  • Engineering knowledge capture
  • PLM and digital thread automation
  • Packaging and Sondermaschinenbau applications

These are the lanes most ready to turn into work packages and first-wave opportunities.

Open Questions

  • Which second-wave focus areas deserve promotion after the first outreach cycle?
  • Should grants remain embedded in collaboration modes, or later become their own lightweight resource layer?
  • Do we want lead indexes generated later, or keep them hand-curated while the set stays small?

Sources

  • TextCAD/04_Marketing and Outreach/13_Universities/deep-research-report.md
  • TextCAD/04_Marketing and Outreach/13_Universities/deep-research-report Balanced.md
  • TextCAD/04_Marketing and Outreach/13_Universities/deep-research-report Monster.md
  • TextCAD/04_Marketing and Outreach/13_Universities/RapidDraft Academic & Applied Research Partner Mapping (Monster Brief, v1).md
  • Structure review and synthesis from the May 15, 2026 working session