My work is grounded in the people who live and work in agriculture and takes a human-centered, systems-oriented approach to understanding agricultural work. My agenda advances a human-centered, systems-oriented account of agricultural work by analyzing how cognition, social organization, and work system capacity jointly shape safety and long-term viability in agriculture. My agenda is organized into three linked throughlines: cognitive friction and human risk, which explores how information is noticed, interpreted, and incorporated into decision-making; relational safety culture, which examines whether information is shared, trusted, and translated into safe action; and agricultural work systems resilience, which investigates whether the agricultural system has the people, skills, routines, and adaptive capacity to sustain safe work over time and respond to disruption.
I
Cognitive friction and human risk
Put simply: this line asks how people notice a warning sign, understand it, and decide what to do about it — and why that process sometimes breaks down.
My work on cognitive friction and human risk examines how people learn, interpret information, and make decisions in agricultural settings, particularly when working with tools, technologies, and complex systems. This line of inquiry focuses on how mental models, prior experience, and instructional design shape safety, learning, and behavior in agricultural education and training contexts. Across this work, I study when instructional approaches reduce confusion and risk, and when they unintentionally increase error, misinterpretation, or unsafe practice.
Representative scholarship in this area includes
- Learning, cognition, and decision-making in agricultural mechanics and STEM contexts
- Self-efficacy, motivation, and locus of control among agricultural educators and students
- Safety perception, risk interpretation, and preparedness
- Instructional design, authenticity, and novelty effects in agricultural education
Primary themes: learning, cognition, decision-making, risk interpretation
II
Relational safety culture
Put simply: this line asks whether people actually tell each other about a hazard, and whether that warning gets believed and acted on.
My research on relational safety culture focuses on the social and cultural conditions that shape safety, learning, and professional practice in agriculture. Rather than treating safety as an individual responsibility alone, this work examines how relationships, communication norms, leadership signals, and organizational structures influence whether risks are recognized, discussed, and addressed. This strand of research draws heavily on leadership, communication, and organizational perspectives within agricultural education and Extension.
Representative scholarship in this area includes
- Collaboration, conflict, and departmental culture
- Leadership behaviors, emotional intelligence, and mentoring
- Communication expectations and writing practices in Extension and education
- Professional culture, trust, and safety norms in agricultural systems
Primary themes: relationships, communication, leadership, and organizational culture
III
Agricultural work systems resilience
Put simply: this line asks whether the agricultural workforce has enough trained people, in the right roles, to keep the system safe when things go wrong.
My work on agricultural work systems resilience examines the people, roles, skills, and structures that allow agricultural systems to function safely and adapt over time. This research focuses on workforce capacity, training systems, and institutional supports that sustain agricultural education, Extension, and community-based work under changing conditions. This line of inquiry explicitly connects education, leadership, and safety to broader system viability.
Representative scholarship in this area includes
- Teacher recruitment, retention, and workforce readiness
- Agricultural mechanics as a safety-critical work system
- Extension-led disaster preparedness and community resilience
- Workforce development, technology adoption, and system adaptation
Primary themes: workforce, systems, capacity, adaptation
Translational outputs
My current translational outputs include two patent-pending systems that operationalize human-centered and socio-technical research in AI-mediated learning and safety contexts, with attention to interpretation, trust, and use in applied settings.
Clemons, C. A., & McKibben, J. D. (2026). Stochastic Intent Calculus™ (SIC): System and method for quantifying semantic drift via multi-agent contextual topology analysis. U.S. Patent Pending (Auburn IPX). U.S. Patent and Trademark Office — In Consideration.
Clemons, C. A., Haddad, B., McKibben, J. D., & Lindner, J. R. (2026). AI-GE2M™: System and method for privacy-preserving affective elicitation via deterministic vector mapping. U.S. Patent Pending (Auburn IPX / University of Nebraska IP). U.S. Patent and Trademark Office — In Consideration.