Our researchers work to advance the science of data collection, retrieval, curation, analysis, and archiving and apply those techniques to important social problems.
The Center for Computational and Data Science (CCDS) is committed to advancing important and practical research in the social sciences using advanced computational approaches. The Center builds on the iSchool’s historic strengths in Human Language Technologies, such as Natural Language Processing and Machine Learning, and the School’s current emphasis on Data Science research.
The Center has three goals:
To answer pressing problems in the social sciences by collecting large-scale behavioral, interactional, and other data and applying data science processes and human language technologies;
To provide needed expertise and systems to solve pressing social problems or needs;
And to advance the methods of large-scale data by building a community of scholars within and beyond Syracuse University focused on large-scale data research methods.
Featured Research Talk
Upcoming Events
Join us for guest lectures, discussions, and project updates.
Faculty and Staff
Kevin Crowston
Distinguished Professor of Information Science
230 Hinds Hall
crowston@syr.edu
Jeff Hemsley
Interim Dean, Associate Professor
311 Hinds Hall
jjhemsle@syr.edu
Joshua Introne
Assistant Professor
326 Hinds Hall
jeintron@syr.edu
Md Tariqul Islam
Assistant Professor
323C Hinds Hall
mtislam@syr.edu
Kelvin King
Assistant Professor
338 Hinds Hall
kkking@syr.edu
Jian Qin
Professor
226 Hinds Hall
jqin@syr.edu
Jeffrey M. Stanton
Professor
323E Hinds Hall
jmstanto@syr.edu
Jennifer Stromer-Galley
Professor
348 Hinds Hall
jstromer@syr.edu
Jasmina Tacheva
Assistant Professor
324 Hinds Hall
ztacheva@syr.edu
Bei Yu
Professor
320 Hinds Hall
byu@syr.edu
Resources
We’ve compiled a collection of datasets, iMotions, content analysis tools, and more. These are available to anyone for use in academic or other pursuits.
Get in touch.
The Center seeks innovative partners to share data sets, research experiences and internships, and financial support to drive our research. If you have data, internships, or research questions that you need help with, email us any time.