This article is an exploratory study providing empirical data on language archive user needs and supports some anecdotal evidence of known issues facing language archive end-users, depositors, and managers in primarily academic contexts.

This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.

Video recording of the third webinar from the Oral History Forum. The theme of the webinar explore best practices and considerations for ethically informed preservation and archiving of oral history.

Video recording of the fourth webinar from the Oral History Forum. The theme of the last webinar of the series explores innovative uses of oral history collections and pushes for equitable access to oral history collections.

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.

Video recording of the first webinar from the Oral History Forum. The theme of the webinar explores how community identity, history, activism, and experiences are represented through oral history.

Grant narrative for the grant, "Connecting Communities with Libraries, Archives, and Historians Through Oral Histories." The University of North Texas (UNT) Department of Information Science, partnering with the UNT Oral History Program, will host a series of forums to identify best practices and strategies to respond to challenges around building, implementing, preserving, and accessing community oral history projects. The project team will convene librarians, archivists, oral history practitioners, public historians, community-based memory workers, and others working in oral history to identify good practices, share challenges and lessons learned, and prepare an actionable roadmap for building, implementing, preserving, and sustaining community oral history projects.

Video recording of the second webinar from the Oral History Forum. The theme of the webinar explores the relevant issues and concerns regarding creating and generating oral histories in a time of social and technological change.

This article presents a novel approach of introducing a weighted temporal feature to bias a topic clustering toward articles in a similar time frame, performed over a set of finance journal abstracts from 1974 to 2020 to demonstrate how time can be emphasized in trend detection. The authors detect trending finance topics that are not identifiable when we use a standard clustering approach with no temporal bias.