Institute for Data Science
What We Do
The Institute for Data Science will serve as a hub for research activities, with an emphasis on data mining and analytics. We explore opportunities for data science initiatives among disciplines within The Collins College of Professional Studies and across the University.
Data science is an inherently interdisciplinary field, bringing together statistics and computer science to analyze data from disparate domain areas. The Institute for Data Science will serve as a hub for research activities, with an emphasis on data mining and analytics. We explore opportunities for data science initiatives among disciplines within The Collins College of Professional Studies and across the University.
Application and collaboration:
Biomedical informatics, cognitive science, communications, healthcare, and marketing are among the many areas in which data science plays an integral role. We encourage collaborations within the University, as well as with external entities, on data science research projects.
The Institute for Data Science is a research-focused space that engages scholars in the field through invited lectures and encourages participation in international conferences and journal publications. Research, regardless of discipline, will have an algorithmic and computational component.
The Institute for Data Science enhances the mission of the University, particularly the Catholic and Vincentian mission, which compels the University to engage in cutting edge technological solutions to promote alleviation of human marginalization due to health, unemployment, poverty, social justice, and other hosts of reason. The Institute is committed to use its intellectual resources to help flourish human life.
“Data Science Career Panel”
Alumni speakers included: Brad Rose (JPMorgan Chase & Co.), Shiqi Chen (Meta), JP Freeley (Memorial Sloan Kettering Cancer Center), and Peter Tadrous (Circana). The panel was moderated by Dr. Nikhil Yadav.
May 3, 2023
“Cellular based V2X Communications”
IEEE Guest Speaker: Professor Yi Qian, Department of Electrical and Computer Engineering University of Nebraska-Lincoln
October 10, 2019
"Working with Robots: A Talk about Human-Robot Collaboration"
Invited Speaker: Dr. Azhar, City University of New York, BMCC
April 1, 2019
"Towards Massive Replication of Scientific Findings in Massive Online Open Courses"
Invited Speaker: Dr. Ryan Baker
"Data Analytics Connection"
Featured speakers from Microsoft, MarkLogic, and Information Builders
"Big Data and Your Health"
Speaker: Dr. Giancarlo Crocetti
"Predicting The Future: Data Mining and Predictive Analytics"
"Mining Sensor Data to Create Portable Health Assessment Tools" by Dr. Nikhil Yadav
"Discover the Unknown" by Dr. Giancarlo Crocetti
Guest Speaker: Christopher Brogan from Assurenet
Christina Schweikert, Ph.D.