Communication and information technologies are transforming society, impacting a cross section of human activity far greater than any innovation since the printing press. Leaders in this nexus of technology and society require insight and expertise transcending the individual disciplines from which the underlying technologies and their applications arise.
The Communication and Information Sciences (CIS) PhD program at the University of Hawaii was established in 1986 to meet this need. CIS was one of the first interdisciplinary programs of its nature, foreshadowing the recent trend of interdisciplinary information schools. It transitioned from a provisional to a permanent program in 1994.
CIS is sponsored by four units: The Department of Information and Computer Sciences and the Library and Information Science Program in the College of Natural Sciences, the School of Communications in the College of Social Sciences, and the Department of Information Technology Management in the Shidler College of Business. The program is unique at UH Manoa, crossing three colleges.
The CIS PhD program participates in the Western Regional Graduate Program (WRGP) of the Western Interstate Commission for Higher Education (WICHE). This program allows students from participating states to received reduced tuition rates at the University of Hawaii. More information is available from WRGP and UH Graduate Division.
The CIS Program Office is located in the basement of Hamilton Library (002C) inside the Library and Information Science administrative area. Please email email@example.com to arrange a visit. The office is closed when Hamilton Library is closed.
The CIS Chair is Liz Davidson (as of 8/1/2015); her contact information and office hours are:
office hours: by appointment
office location: E303e Shidler College of Business or CIS Program Office, Hamilton Library (002c)
The deadline for all applicants is February 1, 2017 for fall admission.
For more information on admission requirements please visit Office of Graduate Education, Prospective Students web page.
Where: Hamilton LIbrary 2K
When: 4:30 - 5:30, Monday Jan 11
Title: Social Set Analysis: A Set Theoretical Approach to Big Data Analysis
Abstract: Current analytical approaches in computational social science can be characterized by four dominant paradigms: text analysis (information extraction and classification), social network analysis (graph theory), social complexity analysis (complex systems science), and social simulations (cellular automata and agent-based modeling). However, when it comes to organizational and societal units of analysis, there exists no approach to conceptualize, model, analyze, explain, and predict social media interactions as individuals' associations with ideas, values, identities, and so on. To address this limitation, based on the sociology of associations and the mathematics of set theory, this paper presents a new approach to big data analytics called social set analysis. Social set analysis consists of a generative framework for the philosophies of computational social science, theory of social data, conceptual and formal models of social data, and an analytical framework for combining big social data sets with organizational and societal data sets. Three empirical studies of big social data are presented to illustrate and demonstrate social set analysis in terms of fuzzy set-theoretical sentiment analysis, crisp set-theoretical interaction analysis, and event-studies-oriented set-theoretical visualizations. Implications for big data analytics, current limitations of the set-theoretical approach, and future directions are outlined. (IEEE Access Paper:
Title: The Web 3.0: the semantic & personalized web. Opportunities for improving community oriented information systems & services.
I will illustrate work on ontological modeling I am collaborating (e.g. homelessness ontology) or students’ research I am supervising (e.g. Native ontologies, Hula ontology).Finally I will comment on how my courses involve notions of community engagement, community informatics and ontological semantic modeling.
Religious Harassment in the Workplace: An Examination of Observer Interventions