Skip to content

PhD in Information Science and Technology

Ph.D. at the iSchool

The Ph.D. in Information Science and Technology is a full-time, residency-based, research-oriented degree awarded for excellence in the advancement and dissemination of new knowledge in the information field. Our program addresses information-related phenomena in all settings: individual, organizational, societal, political, and technical. Our Ph.D. program grants a doctorate in information science.

Since the degree program's inception in 1969 as the first broad, interdisciplinary doctorate in the field, the Ph.D. in Information Science and Technology has been training researchers, educators, consultants, and others who share the view that information is a manageable resource.

Our students are expected to develop mastery across aspects of human uses of information, technologies that work with information, and theories of information. Our program is human-centered, rather than computer science and computer engineering, and more technologically-oriented than most programs in psychology, sociology, communications and business.

Our Faculty, Students, and Alumni

What you will learn

Faculty Recruiting Ph.D. Students

The iSchool has more than 30 tenured and tenure-track faculty engaged in a variety of interesting research areas. The faculty listed below are actively recruiting Ph.D. students in their fields of interest. The school also has several research-focused professors who include scholarly work in their portfolio of professional activities.

Danial Acuna

Daniel Acuna

Looking for students in:
Science of Science
Data Science and Artificial Intelligence
Big data with an emphasis on data-driven policy for science and innovation

Carlos Caicedo

Carlos Caicedo

Looking for students in:
Network security
Telecommunications policy
Wireless communication technologies and standards

Rachel Ivy Clarke

Rachel Ivy Clarke

Looking for students in:
Critical approaches to libraries and librarianship (#critlib)
Design philosophy and methods
Knowledge organization and classification

Kevin Crowston

Kevin Crowston

Looking for students in:
Work and artificial intelligence
Citizen science
Coordination of online work

Ingrid Erickson

Ingrid Erickson

Looking for students in:
Future of Work (rise of reputation/gig economy)
Critical Study of Algorithmic Systems
Gender and Technology

Martha Garcia-Murillo

Martha Garcia-Murillo

Looking for students in:
Technology and employment
The empowering or disempowering elements of technology for work
Work transitions
Self-employment and technology

Radhika Garg

Radhika Garg

Looking for students in:
Technology (non-)use
Work and technology
Decision-making at micro-, meso-, and macro-level

Jeff Hemsley

Jeff Hemsley

Looking for students in:
Viral information flows on social media
Climate change discussion on social media
Alternate social media sites like ArtStation, ResearchGate, SoundCloud

Yun Huang

Yun Huang

Looking for students in:
Social computing research
Mobile computing
Crowdsourcing

Megan Oakleaf

Megan Oakleaf

Looking for students in:
Libraries and learning analytics
Information literacy assessment
Library value and impact

Carsten Oesterlund

Carsten Oesterlund

Looking for students in:
Trace data and document centric methodologies
New forms of work including citizen science, AI and work, crowdsourcing
Medical informatics with a focus on personal health records

Steve Sawyer

Steve Sawyer

Looking for students in:
Changing structures of knowledge work, including gig, freelance, and project-based work
Distributed scientific collaboration
The uses of scientific data repositories

Bryan Semaan

Bryan Semaan

Looking for students in:
Human-Computer interaction
Design thinking
Resilience and marginalized communities
Identity work

Yang Wang

Yang Wang

Looking for students in:
Privacy and security
Design for marginalized populations
Data-intensive, intelligent systems

Bei Yu

Bei Yu

Looking for students in:
Natural language processing
Machine learning
Health and science communication

Research Areas

The research here at the iSchool is characterized by our diverse interests in information, its uses by people, and the increasing opportunities and issues provided by digital and computational resources.

Data Science & Computation
  • Data science
  • Natural language processing
  • Machine learning
  • Visualization
Computational Social Science
  • Crowdsourcing
  • Opinion research
  • Social media
  • Information diffusion
Human-Centered Computing & Design
  • Computer-supported collaborative work
  • Human computer interaction
  • User cognition
  • Electronic health record
  • Online educational tools
  • Mobile systems and applications
Information Systems
  • Free/libre open source software
  • Management information systems
  • Information system design
  • Technology acceptance and use
Libraries & Librarianship
  • Assessment
  • Information and digital literacy
  • School librarians
  • Digital libraries
  • Knowledge representation and ontologies
Learning & Training
  • Motivation
  • Learning strategies for information professionals
  • Experiential learning
Organizations, Collaboration, & Leadership
  • Group coordination / Self-organized groups
  • e-Science
  • Citizen science
  • Leadership and management
  • Organizational change
  • Entrepreneurial ecosystems
Security & Privacy
  • Cybersecurity
  • Network security
  • User privacy
  • Trustworthy computing
Digital Technologies & Society
  • Disruption, technology, and resilience
  • eGovernment
  • Economics of IT
  • Globalization of IT
  • IT workforce
  • Smart grids
  • Technology and civic contexts
  • Social informatics

Telecommunications & Networking
  • Disruption, technology, and resilience
  • eGovernment
  • Economics of IT
  • Globalization of IT
  • IT workforce
  • Smart grids
  • Technology and civic contexts
  • Social informatics

What we look for

Our Ph.D. students arehighly motivated individuals who aspire to a career in academia or otherwise committed to research.

Our students are lifelong learners who also have a passion for producing new knowledge and sharing it with the world.

The ideal Ph.D. candidate is open-minded toward the interdisciplinary nature of the information field, and is respectful and appreciative of alternative views and approaches to research.

We expect Ph.D. applicants to be dedicated to 4-5 years of intense full-time study to concentrate on your Ph.D. studies.

iSchool Graduate Students

About our admissions process

Hinds Hall
  • We do not accept or reject applicants based on test scores.
    We look at all application materials, not just test scores, in order to make admissions decisions.

  • Admissions decisions are made by a committee.
    Individual faculty do not make admissions decisions, and cannot guarantee admission decisions for any applicant.

  • You must find a research fit among our faculty to be seriously considered.
    Applicants who apply without a secured research fit among our faculty will find it difficult to gain acceptance into the program.

  • We fund all admitted students.
    This puts a premium on providing us evidence of your interests and experiences with research and is also why entrance to the iSchool Ph.D. program is selective.


How to Apply

The deadline to apply for the Ph.D. in Information Science and Technology is January 3.

We only have admissions for fall term. We do not admit for in spring or summer term. We only offer our Ph.D. in a full-time, on-campus format. We do not offer online or part-time formats for the PhD program.

Current Syracuse University students should contact Bridget Crary before starting the Ph.D. application process.

Visit the Admissions page for more information on deadlines, tuition, and more.

The Checklist

Do you have everything you need to apply? Use our checklist to know that you’re ready to begin your application.

View the application checklist

Find your fit

Find and make a connection with one of our researching faculty members prior to applying to the program.

Explore Research Faculty

Learn more about our PhD program


Jennifer Barclay

Jennifer Barclay

PhD Program Manager