# Matthew M. Young
**Wikidata**: [Q132743827](https://www.wikidata.org/wiki/Q132743827)  
**Source**: https://4ort.xyz/entity/matthew-m-young

## Summary  
Matthew M. Young is a male university teacher who conducts interdisciplinary research at the nexus of public administration, public management, artificial intelligence, technology, and machine learning. He is recognized for applying AI and machine‑learning methods to problems in public sector governance.

## Biography  
- **Known for:** Interdisciplinary research that bridges public administration, public management, artificial intelligence, technology, and machine learning.  
- **Field(s):** Public administration; public management; artificial intelligence; technology; machine learning.  
- **Occupation:** University teacher.  
- **Sex or gender:** Male.  
- **Languages spoken, written or signed:** English.  

## Contributions  
Matthew M. Young’s scholarly output focuses on integrating artificial‑intelligence and machine‑learning techniques into the study and practice of public administration and management. By exploring how advanced computational models can support decision‑making, policy analysis, and service delivery, his work helps public institutions adopt data‑driven approaches. Although specific titles, dates, or venues are not listed in the source material, his contributions are characterized by a cross‑disciplinary methodology that combines technical AI expertise with insights from public sector theory and practice. This blend advances both academic understanding and practical implementation of technology in governance contexts.

## FAQs  
### Q: What is Matthew M. Young’s primary occupation?  
A: He is a university teacher.  

### Q: Which academic fields does he work in?  
A: His work spans public administration, public management, artificial intelligence, technology, and machine learning.  

### Q: What language does he use for his scholarly communication?  
A: English.  

### Q: What gender does Matthew M. Young identify as?  
A: Male.  

### Q: Does he have a VIAF identifier?  
A: Yes, his VIAF ID is 54174225130711352196.  

## Why They Matter  
Matthew M. Young’s importance lies in his role as a conduit between cutting‑edge AI research and the public sector. By applying machine‑learning models to public‑administration challenges, he helps reshape how governments analyze data, forecast outcomes, and design policies. His interdisciplinary perspective encourages scholars and practitioners to view technology not as a peripheral tool but as a core component of modern governance, influencing curricula, research agendas, and the adoption of AI‑driven solutions in public institutions.

## Notable For  
- University teaching that emphasizes the intersection of public administration and AI.  
- Research that integrates machine‑learning methods into public‑management studies.  
- Advocacy for technology‑enabled decision‑making in government contexts.  
- Contribution to interdisciplinary scholarship across five distinct fields.  

## Body  

### Professional Role  
- Holds the occupation of **university teacher** (source: structured property).  
- Identified as a **human** (instance of).  

### Research Domains  
- **Public administration** – focuses on the organization and implementation of government policies.  
- **Public management** – studies the operational aspects of public sector entities.  
- **Artificial intelligence** – explores computational systems that exhibit intelligent behavior.  
- **Machine learning** – investigates algorithms that enable computers to learn from data.  
- **Technology** – broader engagement with technical tools and platforms.  

### Academic Profile  
- **Sex or gender:** Male.  
- **Languages:** English, indicating the primary language of instruction and publication.  
- **Identifiers:** VIAF ID 54174225130711352196; NL CR AUT ID jo20251253700 (used for cataloging academic works).  

### Interdisciplinary Impact  
- By linking AI/ML techniques with public‑sector challenges, Young promotes a data‑centric approach to governance.  
- His work supports the development of smarter public services, more efficient resource allocation, and evidence‑based policy formulation.  

### Outlook  
- Continued contributions are expected to further embed intelligent systems within public administration curricula and practice, fostering a generation of scholars and officials adept at leveraging AI for societal benefit.

## References

1. Czech National Authority Database
2. Virtual International Authority File