INTERDISCIPLINARY DATA COLLABORATIVE: Data Science, Data Analytics and Digital Humanities at Queens College
Data and information surround us where we work, live, and play. Our collaborative programs emphasize the skills, tools, and techniques for effective use of data and digital technology in the sciences and in the arts. The applications are limitless. What do you want to do?
We have FACULTY who can help you with just about any question
For general questions about QC’s INTERDISCIPLINARY DATA COLLABORATIVE, contact Dr. Dan Weinstein, Program Director, Dean of Faculty, Mathematics and Natural Sciences; Dean of Research; Professor of Biology
For questions about data and how it relates to a specific field, make an appointment with a faculty member below:
- Accounting & Information Systems: Fang Sun, Steven Solieri, Accounting
- Advertising: Mara Einstein, Media Studies
- Anthropology: Megan Victor, Archaeology
- Art & Design: Danne Woo, Art
- Computational Linguistics, Social Network Analytics: Charles Gomez, Sociology
- Computational Modeling: Jeff Beeler, Biology
- Computer Science: Ted Brown, Mayank Goswami, Alex Ryba
- Health Care Analytics: Dana Weinberg, Sociology
- Data Analytics: Charles Gomez, Elena Vesselinov, Hongwei Xu, Shige Song, Sociology
- Data Science and Statistics: Chris Hanusa, Adam Kapelner, Mathematics
- Demographic Research: Holly Reed, Sociology
- Digital Humanities: Douglas Rushkoff, Media Studies; Kevin Ferguson, English
- Digital Preservation and Storytelling: James Lowry, Archival Technologies Lab, GSLIS
- Digitization and Storage: Jonathan Thayer, Jose Sanchez, Library and Information Science
- Epidemiology: Chalres Turner, Sociology
- Economics: Francisco Ortega, Suleyman Taspinar, Economics
- Longitudinal Data Modeling: Yoko Nomura, Psychology
- Mathematics and Data Science: Alan Sultan, Adam Kapelner, Chris Hanusa, Mathematics
- Mathematical Modeling: Larry Liebovitch, Physics
- Market Research: Joseph Cohen, Sociology
- Neural Imaging and Analysis: Jin Fan, Neuroscience
- Sociology: Yinxian Zhang, Dana Weinberg, Amy Hsin, Sociology
We have COURSES OF STUDY from entry level to advanced for students majoring in any subject
To learn more about the courses we offer in Data Science, Data Analytics and Digital Humanities, see our Courses page.
Learn more about the INTERDISCIPLINARY DATA COLLABORATIVE at Queens College
If you have questions about data or data-related careers, see our Frequently Asked Questions page, or contact one of the faculty members listed above.