Research Centers and Labs

Faculty and graduate students pursue research in diverse areas of the library and information science fields, often working with the college’s 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.

Multiple Literacies Lab
The purpose of the Multiple Literacies Lab is to enable the acquisition of multiple literacy skills through research and evidence-based practice.

Intelligent Information Access and Analytics (IIAA) Lab

The Intelligent Information Access and Analytics (IIAA) 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, with the goal of building high-performance and reliable intelligent systems. Our research spans across machine learning, natural language processing, text mining, and information retrieval, with a focus on data quality and model testing for data-centric AI systems. We are excited about both developing computational models and building real-world applications for important domains such as healthcare, legal intelligence, cyber security, scientific communication, and others.

Archive


Center for Knowledge Solutions
The Center for Knowledge Solutions empowers scholars and scholar-practitioners to make evidence-based decisions that optimize learning and performance systems to improve organizational knowledge. The uniqueness of the center is learning and performance across disciplines and professions

Our mission is to generate, integrate, and disseminate knowledge solutions through learning and performance innovation for business and education. The center enables constituents and funding agencies to implement knowledge solutions for improving their organizational systems. Affiliate members include: Texas State Technical College, Purdue University, Texas A&M, Penn State University, Auburn University, Denton ISD Advanced Technology Center, University of California at Long Beach, Raytheon, Brinker International, 7-Eleven, Children’s Hospital, and Lockhead Martin.

Visual Thinking Laboratory
The Visual Thinking Laboratory is a collection of scholars exploring the ways humans interact with the territory at the juncture of image and meaning. Laboratory members include teachers, researchers, students, information scientists, artists, philosophers, filmmakers, computer scientists, behavior analysts, photographers, and others.

Members of the Visual Thinking Laboratory construct and examine images, push the limits of existing technologies, contemplate how images function in our daily lives and academic pursuits. We examine uses of images and uses of photographic technology at all levels. Our theory base privileges both the snapshot and very large view camera image. We link problems of seeing, production processes, contexts and conditions, technical construction, social construction, history, and authoring and authority of images.