Teen birth (TB) imposes serious health and economic burdens to both individuals and government. Various attempts have been made to overcome TB such as teen pregnancy prevention evidence-based programs. However, these programs might have declined teen birth rate (TBR), most of which do not address the influencing socio-economic factors linked to areas where teenagers live. This study is aimed at investigating socio-economic factors contributing to TB and identify their geographical disparities. The methodology was developed using the vulnerability theory to examine the complex relationship between TB and socio-economic factors. Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR) were employed to analyze census data. Findings suggest that socio-economically disadvantaged minorities, including unemployed black and uneducated Hispanic, are more vulnerable to TB. Additionally, geographic locations of communities where such teenager live are recognized. The outcomes verified the utility of the vulnerability theory to predict the geographical locations of vulnerable teens that can be leveraged by policymakers to allocate more health resources and perform place-specific interventions to effectively reduce TBR.

The digital age comes with transformational activities (also referred to as digital transformation) triggered by emerging fields and technologies, such as data science and analytics, cybersecurity, cloud computing, blockchain, cryptocurrency, and nanotechnology; helping organizations stay current and competitive. This paper focuses on agile frameworks that support the delivery of data science/analytics projects to ensure organizations rapidly deliver analytics products and services to their customers.

Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due to the misinformation, many people might not believe in the effectiveness of masks. Even though studies have shown the effectiveness of wearing masks in different countries (Lyu and Wehby, 2020). Not wearing masks affects people's health and indirectly increases the spread of COVID-19. Studies of social noise and misinformation cases on social media are needed, specifically focusing on how social noise influences and contributes to the spread of misleading and possibly harmful messages.

Successful organizations are continuously looking for better ways to improve efficiency. Knowledge management (KM) in institutions is essentially based on an understanding of knowledge creation and knowledge transfer. At Tarrant County College, we are currently developing a District-wide knowledge management (KM) program. This KM process is implemented via micro pilot projects and processes; and an analysis of current technology, structure, and culture. We carefully try to anticipate challenges we will encounter as the project is executed (geographical distance during a pandemic, cultural barriers, dealing with tacit knowledge…). Next, we carefully begin to create a road map for the KM process including: Establishing objectives, preparing culture change, creating a high-level process, identifying KM/communication/knowledge dissemination gaps, selecting appropriate technology, and deciphering the current status of KM throughout the District. Then, we attempt to implement our KM process via micro pilot projects. We will soon develop methods for evaluating our KM workflow. Our initial results suggest Laserfiche might be able to host 70% of or data and information, however other tools such as ITSM, Microsoft TEAMS, Team Dynamics… will also be needed to host data and information.

Presentation exploring how information is organized in digital cultural heritage collection in Arabian Gulf countries. Study reveals high metadata quality overall but lack of consistency for many metadata fields, explained in part by the absence of metadata creation guidelines and professional training for metadata creators.

Knowledge is awareness or familiarity gained by experiences of facts, data, and situations. Knowledge management includes techniques and processes to represent, store, search, integrate, and analyze knowledge that is available in digital form. Ontology is a formal explicit specification of a shared conceptualization of a domain of interest and it is a building block of the semantic web and formal description of knowledge. Ontologies capture the structure and knowledge about some domain of interest by describing the concepts in the domain and also the relationships that hold between those concepts. Even though Ethiopia has potential tourist destinations, the country is not benefited from its resources due to misperception about image of the country; lack of promoting the potential tourism resources of the country to the world; problems with sharing, searching and retrieval of tourist information. Thus, the country is forced to accept smaller number of tourists and not getting the benefits it deserves. The objective of this paper is to build ontology for Ethiopian Tourism so that it makes Ethiopian tourism destinations visible to international visitors. We use OWL language implemented in Protégé with other ontology development activities proposed in METHONTOLOGY to build Ethiopian tourism ontology. We also use OWL …

This paper will report on a research to develop Speaker Independent, Continuous Speech Recognizer for Kafi Noonoo (Afro-Asiatic language that belongs to North Omotic sub family in Ethiopia) using Hidden Markov Modeling technique. The portable and open source toolkit called Hidden Markov Model (HMM) Toolkit is used to perform the experiment. The development of HMM based Automatic Speech Recognition (ASR) requires both text and speech corpus for training and testing the HMM. In order to have a model that incorporates different features of the language, we included the different dialects of Kafi Noonoo in the corpus and then prepared the training and test corpus from the scratch, and after preprocessing we have sampled and performed feature extraction using Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique.

The unquestionable demand for data generation and consumption in organizations in this century prompt an increasingly notion of data as a valuable asset, provoking the urgency for reliable analysis and reporting of complex data assets towards a critical business decision making process. Computing languages like SQL, Sequential Query Language, Data Mining and Warehouse, and data visualization tools are some examples of how information technology is being applied to the problem solving strategy related to data governance and management. The objective of this article is to provide an overall framework for effective data governance, through the examination of the hierarchy data-wisdom, that can be applied to business processes improvement and business intelligence approaches. Its purpose is to present roadmaps that will lead to superior management decisions impacting the pipeline and the relationship between leaders, staffs, stakeholders, and the corporate governance in terms of data processing and consumption. This literature review work presents the argument that effective use of information technologies, the consolidation of a learning culture, and the fostering of a technological framework that is insightful and enabler of a responsible and steward data management process have decisive impact in the business processes operations and strategies in which leadership plays a …

Wisdom is defined as “a uniquely human quality demonstrated through an ability to apply self-insight, experience, and sound judgment in conjunction with applicable data, information, and knowledge to create a course of action leading to beneficial and productive decisions for both individuals and society” (Allen et al., 2020, p. 159). Using this definition as a foundation, this research explores how veterans use wisdom to enhance the workforce through perspective, experience, and resilience.

Article reviewing one particular challenge to data management relevant to South Asia, which is the complexity of names (of individuals, groups, and languages). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article describing a pilot project undertaken at the Computational Resource for South Asian Languages (CoRSAL) which explores a collaborative archiving approach to enable language community members to tell their own stories by adding contextual information to archival materials. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Conference paper elucidates the issues facing language archive managers and users through two steps: content analysis of information organization in language archives, and semi-structured interviews with language archive managers and users. Primary challenges identified include lacking institutional support and a range of factors which impact authority control in language archives. This version is the author's accepted manuscript.

The article focuses on a systematic review of current team effectiveness frameworks and models. A narrative-based method for theorizing was utilized to develop a new MTS team effectiveness framework. This research contributes to the MTS literature by providing a new formula for team effectiveness at both the team level (team effectiveness formula) and the MTS level (MTS team effectiveness formula).

Article on the development of a workflow process that can accommodate the range of different language depositors in the Computational Resource for South Asian Languages (CoRSAL). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article introduces the collaboration between the Computational Resource for South Asian Languages (CoRSAL) group and the University of North Texas (UNT) Digital Library to build a series of interconnected digital collections for various language communities. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

This article is an introduction to the special issue Assistive Technology Services During and After the COVID-19 Pandemic, which was created to provide a historical record of the impact of the COVID-19 pandemic on the provision of assistive technology services in schools.

Presentation addressing the need for effective training in metadata creation for library and information science students through an overview of the metadata creation skill-building content of the online introductory graduate metadata course at the University of North Texas, results of the analysis of quality in student-created metadata records, and discussion of how the observed common metadata quality issues might inform curriculum development.

Paper addressing the need for effective training in metadata creation for library and information science students through an overview of the metadata creation skill-building content of the online introductory graduate metadata course at the University of North Texas, results of the analysis of quality in student-created metadata records, and discussion of how the observed common metadata quality issues might inform curriculum development.

Article describes how, to reduce the conceptual ambiguity in interdisciplinary knowledge organization systems (KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework for interdisciplinary semantic drift (ISD) detection based on the normal cloud model (NCM). The research indicates the meaning of an interdisciplinary concept will drift from the high KPE discipline to the low KPE discipline as long as interdisciplinary knowledge potential differences (KPD) exist between these two related disciplines.

Article discusses how building a digital language archive requires a number of steps to ensure collecting, describing, preserving and providing access to language data in effective and efficient ways. This paper introduces the reader to the background of this project and discusses some of the areas important for representing language materials where both University of North Texas Libraries (UNTL) metadata and CoRSAL metadata practices were adapted to better fit the needs of intended audiences.

Article describes how the authors present an analysis of eight measures used for quantifying morphological complexity of natural languages. The measures they study are corpus-based measures of morphological complexity with varying requirements for corpus annotation.

Presentation exploring the technical perspective of displaying CoRSAL content on social media.

This article provides a content analysis of studies from 2010 to 2020 aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. The content analysis shows that the research questions can be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification).

This article proposes a method to model evacuation flows and reveal the patterns of evacuation flows at different spatial scales. First, the authors present a method to characterize evacuation flows at different geographic scales: the state level, considering evacuation flows across southern states affected by Irma; the urban/rural area level, and the county level. Then they demonstrate results on the predictability of evacuation flows in the most affected state, Florida, by using the following environmental factors: the destructive force of the hurricane, the socioeconomic context, and the evacuation policy issued for counties. The results presented in this paper can help decision makers to better understand population evacuation behaviors given certain environmental features, which in turn will aid in the design of efficient and informed preparedness and response strategies.