Research Centers and Labs

Data Innovation Lab

The Data Innovation Lab is interested in applying/developing novel interdisciplinary research methods to tackle data-driven problems and exploring data-driven methodology in evidence-based information science research and practice.

Data Science & Industry Innovation Center

Data Science & Industry Innovation (DSII) Center is a interdisciplinary research and industry collaboration among faculty and students in the College of Information at UNT for strengthening related academic programs in the undergraduate and graduate levels. The research and industry collaboration in the center will help attract the very best students to UNT. 

Data Visualization Extreme Reality (DVXR) Lab
The Data Visualization and Extreme Reality (DVXR) Lab provides visualization solutions for a wide range of data sets in a collaborative, interdisciplinary, and interactive environment. Extended reality (XR) includes representative forms such as augmented reality (AR), mixed reality (MR) and virtual reality (VR). We focus on developing methods and tools for analyzing, visualizing, and interacting with massive, dynamic, and ambiguous data from various application domains.
Intelligent Data Engineering and Analytics (IDEA) Lab
The Intelligent Data Engineering and Analytics (IDEA) Lab at UNT is a group of researchers working on exploring effective and efficient methods for access, interaction, and analysis of large, distributed, heterogeneous, and multimedia information, to build high-performance and reliable intelligent systems. Our research spans machine learning, natural language processing, text mining, and information retrieval, focusing on data quality and model testing for data-centric AI systems. We are excited about developing computational models and building real-world applications for important domains such as education, healthcare, legal intelligence, cyber security, scientific communication, and others.

Guest Lectures

Data Science Talk Series
UNT Data Science Talk Series brings together experts, rising stars, and academic leaders in data science and related fields to share their insights, foster collaboration, and inspire students and faculty. The forum is open to all faculty and students, particularly those in Data Science, Computer Science, and Information Science.