Research

The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence.


Spanning 15 colleges, the hub connects AI expertise with three focused cohorts made up of six strategic pillars highlighting critical domain areas with widespread impact:

Applied AI

Focusing on the large-scale methodological and/or translational deployment on significant problems in:

AI for Health

AI for Engineering, Sciences, Business, and Humanities

AI for Agriculture

Foundational AI

Focusing on the core algorithms and theoretical underpinnings of AI. 

Responsible AI and Cybersecurity

Focusing on developing trustworthy and reliable AI and increasing cybersecurity through:

Trustworthy and Reliable AI

AI for Cybersecurity

Through shared infrastructure, curated data, and cross-disciplinary collaboration, the AI(X) Hub is building an ecosystem that moves ideas from research to real-world impact—advancing solutions that benefit society and fuel economic growth.


The AI(X) Hub will equip researchers with advanced tools and expanded capabilities to drive innovation and accelerate discovery. Our goals are to:

  • Be a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain.
  • Build an intellectual hub where domain experts, AI faculty, programmers, engineers, and scholars converge to solve complex problems, spark high-impact innovation, and compete for large multidisciplinary projects.
  • Create an interdisciplinary PhD Program in Artificial Intelligence.
  • Build a scalable shared infrastructure in the form of a University-wide computing cluster and a smaller experimental computing cluster for the Hub.
  • Develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets for rapid advances across all disciplines.
  • Accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment,  bringing ideas from the lab into the real world.