Applied ontology studies how we define, structure and connect concepts so that people and systems understand information in the same way. Rooted in philosophy, it brings abstract thinking into practical use, especially in fields that rely on complex data such as medicine, science, technology and artificial intelligence.
Great for students interested in philosophy, data science, artificial intelligence, health care, informatics, logic or interdisciplinary problem-solving.
At the University at Buffalo, applied ontology connects philosophical theory with information science to improve how data is classified, shared and used across disciplines.
Applied ontology research explores questions such as:
These questions matter wherever information must be accurate, interoperable and trustworthy.
UB is internationally recognized as a center for research in applied ontology. Faculty collaborate with ontologists and research teams around the world on large-scale standards and knowledge systems that shape how information is used across industries.
Collaborative initiatives include work connected to:
This global research profile creates opportunities for students to engage in funded projects and prepares graduates for careers at the intersection of philosophy, data and technology.
Applied ontology combines philosophical analysis with technical collaboration. Researchers study the structure of reality, such as objects, processes, properties and relations, and translate those insights into formal systems that computers and organizations can use.
This work often involves:
Ontology at UB bridges theory and practice in a way few philosophy programs can.
Applied ontology research at UB commonly explores:
Together, these efforts show how philosophy plays a critical role in modern data-driven fields.
Students can engage in applied ontology research through faculty-mentored projects, interdisciplinary collaborations and funded research initiatives. Graduate students and advanced undergraduates often work on projects that connect philosophy directly to real-world applications in medicine, science, government and industry.
Students interested in deeper specialization may pursue graduate study focused on ontology and information science in collaboration with departments across the university.