Actor-Network Theory (ANT) is a theoretical and methodological framework developed primarily by Bruno Latour, Michel Callon, and John Law that analyzes the relationships between human and non-human entities (actants) within heterogeneous networks. ANT rejects the distinction between the social and the technical, instead treating all actors — whether people, technologies, organizations, or natural phenomena — as equally capable of exerting agency within a network. The framework traces how networks are built, maintained, and transformed through processes of translation, and has been influential in science and technology studies, information systems research, organizational studies, and design. It is particularly relevant in Social Sciences, Software Engineering and Design.

Actor-Network Theory supports interdisciplinary and transdisciplinary collaboration and is suited for organizational settings, multi-organization networks and community-scale initiatives in in-person, remote and hybrid settings.

Actor-Network Theory is classified as a well-documented framework, indicating broad adoption and available documentation. Key concepts include Translation, Actant, Network, Black-boxing.