Knowledgescience

Knowledgescience is an interdisciplinary field that studies knowledge as a phenomenon, a resource, and a social practice. Drawing on epistemology, information science, cognitive science, and data science, knowledgescience investigates how knowledge is created, represented, stored, shared, mediated by technologies, and used to support decision-making and innovation. It seeks both theoretical understanding and practical methods for managing knowledge in organizations, communities, and computational systems.

Core areas include knowledge creation and diffusion, representation and reasoning, learning and inference, knowledge retrieval and discovery, provenance and trust, and governance and ethics. The field emphasizes how knowledge flows through social and technical networks and how digital tools shape understanding and action.

Methodologies encompass ontological engineering, knowledge graphs, information retrieval, data mining, experiments, case studies, and metrics of knowledge quality, maturity, and impact. Researchers often combine qualitative and quantitative approaches to assess knowledge processes and outcomes.

Relation to other disciplines is characterized by overlap with knowledge management and information science, while also intersecting with data science and artificial intelligence. Because knowledgescience is a relatively new and variably defined term, there is no single canonical definition or governing body, and some scholars treat it as synonymous with or a superset of related fields.

Applications span enterprise knowledge management, research data management, education technology, policy analysis, and AI system design. The field aims to improve decision-making, innovation, collaboration, and learning outcomes by advancing methods to capture, share, and leverage knowledge across diverse contexts.