Faculty

The center brings together faculty from colleges and disciplines across DePaul University and fosters research collaborations in data science or allied fields.

 Projects

We develop innovative tools and methods in data science and focus on the application of these techniques in areas such as intelligent Web systems, social computing, business intelligence, healthcare, hospitality, marketing, image analysis, and more.

Research Labs

Faculty and students have access to specialized labs that are equipped with advanced technology, software and experimental tools.

About the Center

The DePaul Center for Data Science is an Interdisciplinary Research Center that is the home of passionate and expert faculty as well as enthusiastic and bright students. The Center aims to both innovate the computing discipline through harnessing the power of the data revolution and nurture the next generation of computer and data scientists. Faculty have expertise across a wide variety of areas, such as biomedical and health informatics, imaging analytics, interactive machine learning, marketing analytics, recommender systems, database forensics, and high performance and scientific computing. Whether through capstone projects, independent studies, or research credits, faculty engage students in state-of-the-art research and practice activities that set them apart when they graduate and give them a strong foundation for data-oriented careers in computing. The Center is continuously looking for industry collaborations to bridge the gap between the theory and practice, and brings together academics and practitioners through research colloquiums, workshops, and collaborative projects.

Events

Don't Miss Out!

CDS Research Showcase Event

The DePaul Center for Data Science is hosting an research showcase event where you can learn current research projects in the data science program and

Time: 3:00 pm - 5:30 pm
Date: 2020-11-09

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Research Colloquium talk – Factors Affecting the Adoption of an Electronic Word of Mouth Message: A Meta-Analytic Structural Equation Modeling Study

Talk Overview Electronic word of mouth (eWoM) messages are increasingly consequential for consumers’ decisions regarding products/services. This has

Time: 1:00 pm - 2:00 pm
Date: 2020-03-06

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Research Colloquium talk – Can Peers Reduce Employees’ Violation of Information Security Policies?

Talk Overview Peer monitoring refers to when peers, voluntarily, noticing and responding to others’ violations of organizational information security

Time: 1:00 pm - 2:00 pm
Date: 2020-02-28

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Research Colloquium talk – Digitization in Humanitarian Supply Chains: A Rough Review of Research Needs

Talk Overview Digitization or Industry 4.0 is currently the center of attention within commercial supply chains. The humanitarian sector, however,

Time: 1:00 pm - 2:00 pm
Date: 2020-02-21

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Research Colloquium talk – Walk this Way: Robots Walking with Styles

Talk Overview In future, when the robots will surround us, there will be a need for the robots to communicate with us as effectively as we humans do

Time: 1:00 pm - 2:00 pm
Date: 2020-02-14

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Research Colloquium talk – Going Big: A Large-Scale Study on What Big Data Developers Ask

Talk Overview Software developers are increasingly required to write big data code. However, they find big data software development challenging. To

Time: 1:00 pm - 2:00 pm
Date: 2020-02-07

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