Flyer for UNT's 2022 Constitution Day webinar event that featured a wide-ranging conversation on data technology, surveillance, cybersecurity, social media, privacy, and information freedom in honor of Constitution Day. The event was a moderated panel presentation with speakers Amy K. Sanders, Associate Professor, School of Journalism and Media and School of Law, UT Austin; Scott H. Belshaw, founder and director, Cyber Forensics Lab, University of North Texas; Daniella Smith, Director of the Information Science Ph.D. program, University of North Texas; and moderated by Dr. Rafael Major and Dr. Catherine Borck, University of North Texas. A watch party for this webinar was held in 250H of Willis Library.

Video recording of UNT's 2022 Constitution Day webinar event that featured a wide-ranging conversation on data technology, surveillance, cybersecurity, social media, privacy, and information freedom in honor of Constitution Day. The event was a moderated panel presentation with speakers Amy K. Sanders, Associate Professor, School of Journalism and Media and School of Law, UT Austin; Scott H. Belshaw, founder and director, Cyber Forensics Lab, University of North Texas; Daniella Smith, Director of the Information Science Ph.D. program, University of North Texas; and moderated by Dr. Rafael Major and Dr. Catherine Borck, University of North Texas. A watch party for this webinar was held in 250H of Willis Library.

Evaluating the impact of learning from climate data, in addition to bridge data, on the performance of concrete deck condition rating prediction is critical for identifying the right data needed to enhance bridge maintenance decision making. Few studies have considered such an evaluation and utilized a small size of samples that prevent revealing the knowledge hidden within the big size of data. Although, such evaluation over big data seems quite necessary, class imbalance problem makes it challenging. To alleviate such a problem, five states, including Alabama, Iowa, New York, Pennsylvania, and South Carolina, were selected as the case study. Not only are the states located in three different climatically consistent regions defined by the National Ocean and Atmospheric Administration (NOAA), but also their concrete deck conditions ratings are somewhat balanced. To conduct the evaluation, this research developed the bridge data set pertaining to 56,288 bridges across the afore-mentioned states through employing the GIS technology. The bridge data set contains bridge data derived from National Bridge Inventory (NBI), and climate data derived from Parameter-elevation Relationships on Independent Slopes Model (PRISM) climate maps and NOAA. Then, two machine learning algorithms, including random forest and GBM, were trained - with and without climate …

Article exploring a collaboration between the University of North Texas' The Portal to Texas History and the Rosenberg Library to archive and provide digital, open access to Galveston's newspapers. It was published as part of the conference proceedings from 87th IFLA World Library and Information Congress (WLIC) held in 2022.

Presentation exploring a collaboration between the University of North Texas' The Portal to Texas History and the Rosenberg Library to archive and provide digital, open access to Galveston's newspapers.