Research & Development

Innovation & Research

Advancing the frontier of workforce intelligence through cutting-edge research, open collaboration, and breakthrough innovations that reshape how talent connects to opportunity in regional economies.

Our Approach

Our Research Philosophy

We believe breakthrough workforce technology emerges from deep research, open collaboration, and relentless focus on regional economic outcomes.

Problem-First Approach

Every research initiative starts with real workforce challenges faced by job seekers, employers, and regional economies.

Collaborative Innovation

We partner with economic developers, researchers, and workforce boards to ensure our innovations serve the real needs of regional economies.

Open Science

We share our findings, contribute to open source projects, and publish research to advance the entire field.

AI Research Lab

Where breakthrough workforce AI is born

Our dedicated research team pushes the boundaries of what's possible in workforce AI, developing novel approaches that make talent-opportunity matching more precise, accessible, and effective.

Core Research Areas

Applied Language Models

AdvancedWorkforce AI Models

Developing specialized language models that understand workforce contexts and career progression patterns to create more effective AI career assistants and job matching systems.

Key Applications

Skills extraction from resumes
Career pathway recommendations
Job description optimization
Personalized career guidance

Current Focus

Workforce domain adaptation
Skills taxonomy integration
Bias reduction in hiring contexts
Explainable AI for career decisions

Research Pipeline

1

Problem Identification

Working with workforce boards to identify real challenges

2

Research & Development

Developing novel AI approaches and algorithms

3

Pilot Testing

Real-world validation with regional partners

4

Scale & Share

Platform integration and community deployment

Open Source Contributions

Building the future together

We believe the biggest challenges in workforce development require collective intelligence. That's why we actively contribute to open source projects and share our research with the global community.

Open Source Projects

Workforce Data Standards

WidespreadRegional adoption

Standardized protocols for workforce data sharing that enable seamless integration between workforce boards, employers, and training providers, creating a universal language for labor market data.

Key Features

Standardized JSON/XML schemas for job postings
RESTful API specifications for data exchange
Privacy-compliant protocols
Cross-platform compatibility framework
Real-time data validation tools

Adoption Metrics

Regional workforce boards using standards
Job postings standardized across systems
Training programs integrated
Significant data accuracy improvements
Faster talent matching times
What's Next

Future Research Directions

Exploring the next frontier of workforce AI innovation

Multimodal Intelligence

Developing AI that understands workforce dynamics across structured data, conversations, and regional economic indicators to create comprehensive talent intelligence.

Real-Time Market Adaptation

Building AI systems that adapt instantly to changing labor market conditions, skills demands, and regional economic shifts to optimize workforce outcomes.

Regional Network Intelligence

Creating AI systems that map and strengthen regional workforce networks, connecting talent, employers, and economic development organizations effectively.

Get Involved

Join Our Research Community

Whether you're a researcher, workforce professional, or developer, there are many ways to contribute to the future of workforce AI.