Division 22 of 25 · RC Series

Innovation Research & Collaboration

Division 22 is the external knowledge, research-partnership, academic-collaboration and open-innovation engine of the AGL Innovation Hub. Where Division 21 converts innovations into IP, products and commercial opportunities, Division 22 builds the external ecosystem that continuously supplies new knowledge, research capability, technologies, talent, ideas and collaboration opportunities — connecting AGL engineering problems with universities, research institutions, airports, manufacturers, technology companies and startups to create validated solutions faster than any single organization could develop alone.

15 / 15
Topics Scoped
RC-01 → 15
Topic ID Range
External Ecosystem
Layer · Feeds Divisions 18–21
Rev 0
Initial Issue

The principle this division follows — "Do not innovate alone when the right external capability can accelerate the solution — but always retain strong technical governance, IP clarity, evidence-based validation and controlled knowledge transfer."

Where Division 22 Sits in the Innovation Hub

Divisions 18–21 build, test, benchmark and commercialize innovation inside the organization. Division 22 does not operate only after Division 21 — it continuously feeds all four divisions with new partners, knowledge, technologies and research capability, closing the innovation loop.

18 — Prototype Laboratory
19 — PoC & Pilot
20 — Tech Evaluation
21 — IP & Commercialization
22 — Research & Collaboration
Continuous Feed → Divisions 01–21

Division 22 · Research & Collaboration Topics

15 of 15 topics scoped
RC-01 University Collaboration
Purpose

Connect AGL engineering problems with fundamental research capability — mathematical modelling, optical research, AI/ML research, materials research, electronics research, robotics research and energy research — plus access to student and researcher talent.

Potential AGL Research Areas
  • AGL photometry
  • LED optical systems
  • AI-based inspection
  • Predictive maintenance
  • Digital twins
  • IoT sensors
  • Robotics
  • Advanced materials
  • Energy optimization
  • Reliability engineering
  • Computer vision
  • Autonomous systems
University Collaboration Model
AGL ProblemResearch QuestionUniversity ResearchPrototypePoCValidationIP / Publication / Product
RC-02 Research-Institute Collaboration
Purpose

Access specialized laboratories, testing facilities and advanced research capabilities that would not be practical to build in-house.

Collaboration Areas
  • Materials testing
  • Environmental testing
  • Optical testing
  • Electrical testing
  • Reliability testing
  • AI research
  • Communications
  • Sensor technology
  • Manufacturing technology
  • Energy research
Possible Outputs
  • Research reports
  • Test results
  • Algorithms
  • Prototype technologies
  • New materials
  • Engineering models
  • Patents
  • Standards contributions
RC-03 Airport Collaboration
Living Laboratories

Airports should be treated as living laboratories for AGL innovation — this matters because laboratory performance does not always translate directly into operational performance.

Airport Collaboration Can Provide
  • Real operating environments
  • Existing asset data
  • Failure information
  • Maintenance experience
  • Operational constraints
  • Environmental conditions
  • Field-testing opportunities
  • User feedback
  • Pilot locations
  • Technology validation
Airport Innovation Loop
Airport ProblemInnovation ProposalPoCAirport PilotPerformance DataEngineering ImprovementDeployment
RC-04 Manufacturer Collaboration
What Manufacturers Provide
  • Product engineering
  • Manufacturing capability
  • Components
  • Prototyping
  • Testing
  • Production engineering
  • Supply-chain capability
  • Product qualification
Potential Collaboration
  • Joint product development
  • Prototype manufacturing
  • Fixture development
  • CCR innovation
  • Transformer innovation
  • Connector development
  • Sign development
  • Photometry equipment
  • Monitoring systems
  • Smart AGL products
Important Principle

Manufacturer collaboration should clearly distinguish three ownership categories before work begins — this connects directly with Division 21 — Innovation IP, Patents & Commercialization:

Customer RequirementManufacturer Proprietary TechnologyJointly Developed IP
RC-05 Technology-Company Collaboration
Purpose

Accelerate AGL digital transformation using external technology-company capability rather than building every capability internally.

Potential Partners
  • AI companies
  • IoT companies
  • Cloud companies
  • Sensor companies
  • Robotics companies
  • Computer-vision companies
  • Communication companies
  • Digital-twin companies
  • Data-analytics companies
  • Cybersecurity companies
AGL Applications
  • AI inspection
  • Predictive maintenance
  • Asset monitoring
  • Digital twins
  • Smart fixtures
  • Automated photometry
  • Remote diagnostics
  • Data analytics
  • Intelligent control
  • Autonomous inspection
RC-06 Startup Collaboration
Purpose

Startups can provide rapid experimentation and unconventional solutions that larger, slower-moving organizations rarely produce.

Startup Areas
  • AI
  • Computer vision
  • Robotics
  • IoT
  • Sensors
  • Energy systems
  • Digital twins
  • Drones
  • Automation
  • Advanced materials
Startup Engagement Model
Identify ProblemStartup ChallengeSolution ProposalTechnical ScreeningPoCPilotInvestment / Partnership / Acquisition / Deployment
RC-07 Joint Research Projects
Purpose

Joint research should be organized around clearly defined engineering problems rather than open-ended exploration.

Recommended Project Structure
  • Research title
  • Problem statement
  • Research objective
  • Partners
  • Technical scope
  • Research methodology
  • Expected outputs
  • Timeline
  • Budget
  • IP ownership
  • Publication rights
  • Testing requirements
  • PoC requirements
  • Commercialization pathway
RC-08 Industry Research Programmes
Purpose

Instead of conducting isolated projects, establish long-term research programmes that accumulate knowledge over multiple cycles.

Example Programmes
ProgrammeFocus Areas
AGL Smart Infrastructure ProgrammeSmart fixtures, sensors, IoT, monitoring, digital control
AGL AI ProgrammeComputer vision, failure prediction, automated inspection, photometry analytics
AGL Photometry ProgrammeAdvanced sensors, automated measurement, optical modelling, AI photometry
AGL Reliability ProgrammeFailure prediction, RUL, condition monitoring, reliability modelling
Sustainable AGL ProgrammeEnergy optimization, materials, lifecycle carbon, renewable integration
RC-09 Innovation Challenges
Purpose

Innovation challenges convert real engineering problems into structured external competitions. Example question:

How can runway-lighting failures be detected before the fixture becomes operationally unavailable?
Potential Participants
  • Universities
  • Startups
  • Technology companies
  • Engineers
  • Researchers
Challenge Process
Problem StatementChallenge LaunchSolution SubmissionTechnical ScreeningShortlistingPrototypePoCWinner / Adoption
Candidate Annual Challenge Themes
  • Predict the next AGL failure before it occurs
  • Automate runway photometry
  • Develop autonomous AGL inspection
  • Reduce AGL energy consumption
  • Create a digital twin of an AGL system
  • Develop intelligent fixture diagnostics
  • Automate AGL compliance verification
  • Improve AGL reliability using AI
RC-10 Engineering Competitions
Purpose

Engineering competitions generate new ideas while developing technical talent, complementing the more formal Innovation Challenge programme.

Potential Themes
  • AGL AI challenge
  • Smart fixture challenge
  • Photometry challenge
  • Autonomous inspection challenge
  • Energy optimization challenge
  • AGL digital twin challenge
  • Predictive maintenance challenge
  • Cable monitoring challenge
  • CCR intelligence challenge
  • AGL reliability challenge
Outputs
  • New concepts
  • Algorithms
  • Prototypes
  • Research papers
  • Patent concepts
  • Student projects
  • Startup opportunities
RC-11 Research Proposals
Purpose

Every major research collaboration should begin with a structured proposal rather than an informal agreement.

Research Proposal Template
SectionQuestion It Answers
A. ProblemWhat engineering problem exists?
B. Current StateWhat technology is currently available?
C. Research GapWhat is not currently solved?
D. Research QuestionWhat must the research determine?
E. MethodologyHow will it be investigated?
F. Expected OutcomeWhat will be produced?
G. PoCHow will the result be demonstrated?
H. IPWhat IP may be created?
I. Commercial PotentialCould the research become a product/service?
J. Timeline & BudgetWhat resources are required?
RC-12 Collaborative PoCs
Strongest Link to Division 19

This is one of the strongest links between Division 22 and Division 19 — PoC & Pilot Projects. A collaborative PoC can bring together an airport, the AGL engineering team, a university, a manufacturer and a technology company around one demonstration.

Example Contribution Model
PartnerContributes
AirportSite, existing system, operating data
UniversityAI algorithm
ManufacturerHardware
Technology CompanyCloud / IoT platform
AGL Engineering TeamSystem architecture, testing, validation, operational engineering
Result

The result can become a jointly validated innovation, carried forward into Division 20 (Technology Evaluation & Benchmarking) and Division 21 (IP, Patents & Commercialization).

RC-13 Knowledge Exchange
Purpose

Knowledge exchange should be treated as a formal programme rather than incidental contact between organizations.

Mechanisms
  • Technical seminars
  • Workshops
  • Research presentations
  • Industry meetings
  • Technical papers
  • Demonstration days
  • Site visits
  • Laboratory visits
  • Joint training
  • Engineering forums
  • Expert roundtables
  • Knowledge-sharing platforms
Output

Every collaboration should generate reusable knowledge where appropriate, rather than knowledge that exists only for the duration of the project.

RC-14 Technical Workshops
Purpose

Workshops should focus on specific engineering challenges rather than generic presentations.

Example Workshops
WorkshopFocus
AGL AI WorkshopAI inspection, failure prediction, computer vision
AGL Photometry WorkshopAutomated measurement, optical modelling, photometric data
Smart AGL WorkshopIoT, sensors, intelligent fixtures
AGL Reliability WorkshopFailure modes, RUL, predictive maintenance
RC-15 Innovation Partnerships
Purpose

Long-term strategic partnerships should be established with organizations that complement the AGL capability, beyond single projects or one-off collaborations.

Partnership Types
  • Academic partnership
  • Research partnership
  • Airport partnership
  • Technology partnership
  • Manufacturer partnership
  • Startup partnership
  • Testing-laboratory partnership
  • Joint-development partnership
  • Commercialization partnership
  • Strategic innovation partnership
No topics match your search.

AGL Innovation Research Ecosystem

The overall shape of Division 22 — how external partners, joint research and field validation connect back into IP and industry adoption.

Universities | Research Institutes | Airports
Research Programmes
Manufacturers | Technology Companies | Startups
Joint Research / Collaborative PoC
Field Validation
Technology Evaluation
IP / Patent / Product
Commercialization & Industry Adoption

Collaboration Lifecycle

Every collaboration — university, institute, airport, manufacturer, technology company or startup — should follow a controlled ten-stage lifecycle.

STAGE 1

Identify

Identify a research partner.

STAGE 2

Evaluate

Assess capability and strategic fit.

STAGE 3

Engage

Initiate technical discussions.

STAGE 4

Define

Develop a research problem and objectives.

STAGE 5

Agree

Establish scope, responsibilities, IP and confidentiality arrangements.

STAGE 6

Research

Execute the research.

STAGE 7

Prototype

Develop the technical solution.

STAGE 8

PoC

Demonstrate the solution.

STAGE 9

Validate

Evaluate technical and operational performance.

STAGE 10

Commercialize

Proceed toward product, licensing, transfer or deployment where appropriate.

Collaboration Selection Criteria

Not every organization should become an innovation partner — candidates should be assessed against a consistent set of criteria before engagement begins.

Technical capability
Research capability
Relevant expertise
Laboratory capability
Track record
Innovation capability
AGL relevance
Project resources
IP capability
Data-security capability
Commercial capability
Geographic relevance
Long-term strategic fit

Recommended Research & Collaboration Registers

To make Division 22 operational rather than theoretical, these twenty registers should be maintained and kept current.

Innovation Partner Master Register
University Collaboration Register
Research-Institute Register
Airport Collaboration Register
Manufacturer Collaboration Register
Technology-Company Register
Startup Collaboration Register
Joint Research Project Register
Industry Research Programme Register
Innovation Challenge Register
Engineering Competition Register
Research Proposal Register
Collaborative PoC Register
Knowledge Exchange Register
Technical Workshop Register
Innovation Partnership Register
Research Output Register
Research IP Register
Research Commercialization Register
Research Lessons-Learned Register

Research & Collaboration KPIs

Twenty-five KPIs across five categories, used to track how far the external research ecosystem has matured.

Partnership

Active university partnerships
Active research-institute partnerships
Airport innovation partnerships
Manufacturer partnerships
Technology-company partnerships
Startup partnerships

Research

Research projects initiated
Research projects completed
Joint research programmes
Research proposals submitted
Research proposals approved

Innovation

Collaborative PoCs
Collaborative prototypes
Patent concepts generated
New technologies identified
Commercialization candidates

Knowledge

Technical workshops
Knowledge-exchange sessions
Research papers
Technical reports
Training programmes

Commercial

Technologies transferred
Licenses generated
Products commercialized
Industry adoption

Integration With Other AGL Innovation Divisions

Division 22 should not operate only after Division 21 — it continuously feeds the entire innovation engine, from strategy through to commercialization.

Most Important Design Principle

Division 22 should remain the external ecosystem layer, not the internal execution layer. It brings new knowledge, partners, technologies and research capability into the system — through universities, research institutes, airports, manufacturers, technology companies and startups — while the building, testing, benchmarking and commercialization of what that ecosystem produces sit in Divisions 18–21.

Its strongest connections are to Division 19 (PoC & Pilot Projects), through collaborative PoCs and airport pilots, and to Division 21 (IP, Patents & Commercialization), through the collaboration-to-IP pathway that runs from discovery through invention identification, patent registration, prototyping, validation and protection to commercialization.

The guiding principle is simple: "Do not innovate alone when the right external capability can accelerate the solution — but always retain strong technical governance, IP clarity, evidence-based validation and controlled knowledge transfer." This makes Division 22 the continuous research engine that keeps the entire AGL Innovation Hub supplied with new ideas, scientific knowledge, technologies, partners and commercialization opportunities.

Frequently Asked Questions

Quick answers about Innovation Research & Collaboration in the AGL Innovation Hub.

Q1What is Division 22 — Innovation Research & Collaboration in the AGL Innovation Hub?

Division 22 is the external knowledge, research-partnership, academic-collaboration and open-innovation engine of the AGL Innovation Hub. It covers 15 topics (RC-01 to RC-15).

Q2Which topics does Division 22 cover?

The 15 topics are University Collaboration, Research-Institute Collaboration, Airport Collaboration, Manufacturer Collaboration, Technology-Company Collaboration, Startup Collaboration, Joint Research Projects, Industry Research Programmes, Innovation Challenges, Engineering Competitions, Research Proposals, Collaborative PoCs, Knowledge Exchange, Technical Workshops and Innovation Partnerships.

Q3Where does Division 22 sit in the Innovation Hub?

Divisions 18–21 build, test, benchmark and commercialize innovation inside the organization. Division 22 does not operate only after Division 21 — it continuously feeds all four divisions with new partners, knowledge, technologies and research capability, closing the innovation loop.

Q4What is “AGL Innovation Research Ecosystem” in Division 22?

The overall shape of Division 22 — how external partners, joint research and field validation connect back into IP and industry adoption. The steps or layers are: Universities | Research Institutes | Airports; Research Programmes; Manufacturers | Technology Companies | Startups; Joint Research / Collaborative PoC; Field Validation; Technology Evaluation; IP / Patent / Product; Commercialization & Industry Adoption.

Q5What is “Collaboration Lifecycle” in Division 22?

Every collaboration — university, institute, airport, manufacturer, technology company or startup — should follow a controlled ten-stage lifecycle. STAGE 1; Identify; Identify a research partner; STAGE 2; Evaluate; Assess capability and strategic fit; STAGE 3; Engage; Initiate technical discussions; STAGE 4; Define; Develop a research problem and objectives; STAGE 5; Agree; Establish scope, responsibilities, IP and confidentiality arrangements; STAGE 6; Research; Execute the research; STAGE 7; Prototype; Develop the technical solution; STAGE 8; PoC; Demonstrate the solution; STAGE 9; Validate; Evaluate technical and operational performance; STAGE 10; Commercialize; Proceed toward product, licensing, transfer or deployment where appropriate.

Q6What is “Collaboration Selection Criteria” in Division 22?

Not every organization should become an innovation partner — candidates should be assessed against a consistent set of criteria before engagement begins. It includes Technical capability, Research capability, Relevant expertise, Laboratory capability, Track record, Innovation capability, AGL relevance, Project resources, IP capability, Data-security capability, Commercial capability, Geographic relevance and Long-term strategic fit.

Q7Which registers does Division 22 recommend maintaining?

To make Division 22 operational rather than theoretical, these twenty registers should be maintained and kept current. It includes Innovation Partner Master Register, University Collaboration Register, Research-Institute Register, Airport Collaboration Register, Manufacturer Collaboration Register, Technology-Company Register, Startup Collaboration Register, Joint Research Project Register, Industry Research Programme Register, Innovation Challenge Register, Engineering Competition Register, Research Proposal Register, Collaborative PoC Register, Knowledge Exchange Register, Technical Workshop Register and Innovation Partnership Register.

Q8Which KPIs does Division 22 recommend?

Twenty-five KPIs across five categories, used to track how far the external research ecosystem has matured. It includes Active university partnerships, Active research-institute partnerships, Airport innovation partnerships, Manufacturer partnerships, Technology-company partnerships, Startup partnerships, Research projects initiated, Research projects completed, Joint research programmes, Research proposals submitted, Research proposals approved, Collaborative PoCs, Collaborative prototypes, Patent concepts generated, New technologies identified and Commercialization candidates.

Q9How does Division 22 integrate with the rest of the AGL Innovation Hub?

Division 22 should not operate only after Division 21 — it continuously feeds the entire innovation engine, from strategy through to commercialization. DIV 01 Innovation Strategy & Roadmap → sets the priorities that external research and collaboration should target; DIV 18 Prototype Development & Engineering Laboratory → builds and tests concepts that joint research and manufacturer collaboration help supply; DIV 19 PoC & Pilot Projects → collaborative PoCs and airport pilots feed directly into this division; DIV 20 Technology Evaluation & Benchmarking → uses research outputs and field-validation data to establish technology maturity and value; DIV 21 Innovation IP, Patents & Commercialization → protects, owns and commercializes what collaborative research and PoCs discover; DIV 25 Innovation Database & Project Intelligence → preserves the research, partnership and collaboration intelligence generated across every partner; Most Important Design Principle; Division 22 should remain the external ecosystem layer, not the internal execution layer. It brings new knowledge, partners, technologies and research capability into the system — through universities, research institutes, airports, manufacturers, technology companies and startups — while the building, testing, benchmarking and commercialization of what that ecosystem produces sit in Divisions 18–21.

Q10What does University Collaboration (RC-01) cover?

Connect AGL engineering problems with fundamental research capability — mathematical modelling, optical research, AI/ML research, materials research, electronics research, robotics research and energy research — plus access to student and researcher talent. Potential AGL Research Areas: AGL photometry, LED optical systems, AI-based inspection, Predictive maintenance, Digital twins, IoT sensors, Robotics, Advanced materials, Energy optimization and Reliability engineering.

Q11What does Industry Research Programmes (RC-08) cover?

Instead of conducting isolated projects, establish long-term research programmes that accumulate knowledge over multiple cycles.

Q12What does Innovation Partnerships (RC-15) cover?

Long-term strategic partnerships should be established with organizations that complement the AGL capability, beyond single projects or one-off collaborations. Partnership Types: Academic partnership, Research partnership, Airport partnership, Technology partnership, Manufacturer partnership, Startup partnership, Testing-laboratory partnership, Joint-development partnership, Commercialization partnership and Strategic innovation partnership.

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AGL Fundamentals Electrical Systems Design Photometry Testing Maintenance Troubleshooting Digital Engineering Emerging AGL Technologies

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