Ohio State is in the process of revising websites and program materials to accurately reflect compliance with the law. While this work occurs, language referencing protected class status or other activities prohibited by Ohio Senate Bill 1 may still appear in some places. However, all programs and activities are being administered in compliance with federal and state law.

Joint Human-AI Systems Publications

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Best Practices in Intellectual Property Management

Public Release: September 2025

Completed: Original, February 2025 / Revised, August 2025

Authors: Dr. Amanda M. Girth, Dr. Mike Rayo, Dr. Laura Maguire, Victor Milanes 

The Ohio State University 

This AIRC report examines best practices in intellectual property management across the U.S. defense industrial base. Through document reviews, international comparisons, and consultations with experts, it identifies eight key practices to modernize IP policy, reduce costs, and improve agility in acquisitions.

cover of automated user interface for NLP-driing keywork analysis in department of defense documents

Automated User Interface for NLP-Driven Keyword Analysis in Department of Defense Documents

Public Release: June 2025

Completed: February 2025

Authors: Dr. Jose E. Ramirez Marquez, Mr. Bryce Lopez, Mr. Enoch Chan

Stevens Institute of Technology

This AIRC project developed an automated user interface for natural language processing (NLP) keyword analysis that leverages NLP and AI analytics to enhance document analysis and streamline decision-making, provides the DoD with a scalable, efficient, decision-support tool for a better understanding of acquisition policy research and enhancing defense procurement strategies.

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Public Release: June 2025

Completed: February 2025

Authors: Dr. Laura Freeman, Dr. Stephanie DeHart, Dr. Kelli Esser, Mr. Scott Lucero, Ms. Mary Nerayo

Virginia Tech National Security Institute

This AIRC research aims to redefine how DoD acquisition and sustainment programs capture, structure, and integrate supply chain data into sustainment decision-making, enabling predictive logistics and risk-informed sustainment investments.