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Doctoral Program (Ph.D. in Communication & Information)

The doctoral program in the College of Communication and Information prepares students for careers as scholars in the disciplines of communication and information.

While students have a primary academic 鈥渉ome鈥 in one of these six areas described below, we encourage CCI doctoral students to engage across disciplines, exploring the depth of knowledge that is derived from interdisciplinary reflection and scholarship. Areas include:

Communication

Media, Technology, and Society

The study of mediated and mass communication examines a wide range of media uses and effects, including the use of media for mass, interpersonal, organizational, and group communication.

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Global Communication

The study of global communication features areas of emphasis which allow students to examine both traditional and emerging media systems and organizations, intercultural interactions, and message and information flows across the world. 

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Interpersonal Communication

Students specializing in interpersonal communication will be prepared to conduct research and teach in an academic institution and/or as a communication specialist in an organizational setting.

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Information

Human Information Behavior

Human information behavior (HIB) is a broad, interdisciplinary, and foundational area in the field of information science. It brings diverse theoretical approaches to applications across domains, from empirical work on system design and behavior, to phenomenological and ethnographic approaches to understanding the information-seeking experience.

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Cultural Heritage Informatics

Cultural heritage informatics (CHI) is an emerging field of interdisciplinary research and practice concerned with the role of information and computing technologies (ICTs) to support the creation, capture, organization, and pluralization of culture, in whatever form, as heritage.

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Knowledge Organization

This specialization focuses on all aspects of knowledge organization in different environments, including conceptual modeling, information organization, cataloging and classification, archival description, metadata, knowledge organization systems, indexing and abstracting, semantic analysis, ontologies and semantic technologies, Linked Data, and user research in knowledge organization. 

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Applicants: In your statement of purpose, please make sure you clearly identify the specialization you intend to be your primary area.

 

 


Have Questions?

Contact Miriam Matteson, PhD

P: 330-672-2464
E: mmattes1@kent.edu

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