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 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.

news & events
CIS 720 seminar by Dr. Ravi Vatrapu, Social Set Analysis
Our CIS 720 seminar starts off the semester with a talk by Dr. Ravia Vatrapu, a graduate of our CIS program and professor at Copenhagen Business School.

Where: Hamilton LIbrary 2K
When: 4:30 - 5:30, Monday Jan 11

Title: Social Set Analysis: A Set Theoretical Approach to Big Data Analysis
Speaker: Prof. Ravi Vatrapu, Centre for Business Data Analytics, Copenhagen Business School, Denmark

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:
CIS 720 Seminar by Dr. Luz Quiroga, The Web 3.0
Please join us for a talk by Dr. Luz Quiroga in CIS720 4:30-5:30 Hamilton Library 3F.

Title: The Web 3.0: the semantic & personalized web. Opportunities for improving community oriented information systems & services.
In this talk I will share my experience on the transition related to the analysis & design of information systems. Approaches have been broaden from modeling factual data (Database systems), then modeling information (Information retrieval systems), to the current emphasis in knowledge management systems.Specifically I will discuss the relationship between knowledge management and the most current generation of the web, the web 3.0: the semantic & personalized web. Focus of the web 3.0 is improving representation of communities information needs, by using content and personal ontologies.

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.
CIS 720 seminar by Dr. by Dr. Sonia Ghumman, Religious Harassment in the Workplace
Please join us on Monday 4:30 - 5:30, in Hamilton Library, room 3F for a talk by Dr. Sonia Ghumman (associate professor of management in the Shidler College of Business).

Religious Harassment in the Workplace: An Examination of Observer Interventions
The Equal Employment Opportunity Commission (2011) reports that religious harassment claims have risen sharply over the past decade. However, victims of religious harassment may not always report harassment and true rates may be higher. Hence, actions taken by third parties present (observers) are important in combating religious harassment in the workplace. The purpose of this paper is to extend the Bowes-Sperry and O’Leary-Kelly (2005) model of observer intervention by testing it empirically in the context of religious harassment and identify factors that influence observers’ decision to intervene (intervention), when they intervene (level of immediacy), and how much they intervene (level of involvement). Across two studies, we find evidence that verbal harassment, ambiguity of intent, relationship to target/ harasser, recurrence belief, religious commitment, pro-social orientation and the interactive effect of shared religion and religious commitment predict intervention. Furthermore, individuals show higher levels of involvement and immediacy when costs are low and emotional reactions are high. Implications of these findings are discussed.