Social and Behavioral Sciences Commons^™

Truck Traffic Analysis In The Inland Empire, Bhavik Khatri

Electronic Theses, Projects, and Dissertations

This study undertakes a meticulous examination of truck traffic within the Inland Empire, focusing on the distribution and dynamics of medium and heavy-duty vehicles, to advocate for the region's transition to electric trucks. Utilizing advanced spatial analysis and data from Streetlight Data, it segments the region into six subregions, revealing distinct traffic patterns and environmental impacts. Notably, the research uncovers that the North Center and West zones, integral to the logistics and warehousing sectors, exhibit the highest traffic volumes, significantly influencing air quality and infrastructure.

Quantitative results from 2021 illustrate a pronounced disparity in truck activity: medium-weight vehicles accounted for …

Traffic Analysis Of Cities In San Bernardino County, Sai Kalyan Ayyagari

Electronic Theses, Projects, and Dissertations

This research offers an in-depth analysis of vehicular traffic within San Bernardino County, California, aiming to spotlight congestion areas and suggest improvements for more efficient and sustainable transportation. Leveraging 2021 data from StreetLight Data, traffic patterns in 15 key cities were examined based on their population sizes, covering various vehicle types to dissect dynamics and flow. The methodology focused on analyzing trip purposes and metrics to calculate Vehicle Miles Traveled (VMT) and its influence on congestion and environmental factors.

Findings indicate considerable disparities in traffic volume, purposes, and timings across different urban areas, with population density and intercity connections significantly …

“Big Data” Revitalizing Librarianship: Impact On Librarians, Alice A. Bamigbola Dr.

Library Philosophy and Practice (e-journal)

Advanced technologies undeniably developed in the 4th Industrial Revolution era, and led to incessantly growing volumes of information daily. “Big Data” is simply information surplus due to the volume, velocity, variety, variability and veracity of the data that need to be processed to get value and better visualisation. Big Data helps libraries understand the ever-changing users’ needs, consequently reshaping their services and procedures. However, it offers several information challenges concerning its capturing, storage, searching, structuring, and visualization. This paper, explores the concept of Big Data in a library environment, how to introduce Big Data, its benefits in the library, roles …

Applications And Perceived Impact Of Artificial Intelligence In Academic Libraries In Nigeria, Uzoamaka Ogwo Ph.D, Francis Ibegbulem, Victor N. Nwachukwu Prof.

Library Philosophy and Practice (e-journal)

This paper expounds the application and perceived impact of Artificial Intelligence (AI) in academic libraries in Nigeria. Libraries especially in developing countries may become moribund in the 21 century unless they begin to harness new, smart and intelligent technologies for improved operations and service delivery. This research adopted a literature-based approach to x-ray the applications and perceived impact of Artificial Intelligence (AI) in academic libraries in Nigeria. Through a systematic analysis and review of literature, the study brought to limelight the current state of AI integration in academic libraries in Nigeria and its possible impact on library services, collections, users, …

Identifying Always-The-Same-Rating Reviewers On Amazon.Com Using Big Data Analytics, Jikhan Jeong

Economics Faculty Research & Creative Works

This study identifies "always-the-same-rating" reviewers (ASRs), that is, reviewers who give the same star rating for all reviewed products and who write many reviews on Amazon. This study identifies ASRs in 29 product categories by analyzing 230 million individual reviews on Amazon. The findings of this study show that: 1) all product categories contain reviews written by ASRs; 2) the majority of ASRs (99.99%) give the same star rating for all reviewed products in all categories; and 3) the rating distribution of ASRs' reviews is extremely skewed toward the five-star rating (98.02%). The digital music category, in particular, shows a …

Modelo De Big Data Para La Gestión Documental En El Área De Certificación Centro Agroecológico Y Empresarial - Sena, María Fernanda Méndez Cuellar, Manuel Augusto Vélez Felacio

Maestría en Gestión de la Información Documental

Se plantea la necesidad de controlar la creación y uso de los documentos físicos y electrónicos para preservar la memoria documental del área de certificación del Centro Agroecológico y Empresarial. El objetivo es proponer un modelo de Big Data para la gestión documental que permita recoger toda esa información dentro de los repositorios; organizarla, organizarla y analizarla con el fin de evitar que loa información termine perdiéndose, lo que ocasiona graves problemas a la Institución en la expedición de certificaciones y en la desaparición de acervo documental importante para poder medir la cantidad de solicitudes, sexo, edades y programas a …

Governing Smart Cities As Knowledge Commons - Introduction, Chapter 1 & Conclusion, Brett M. Frischmann, Michael J. Madison, Madelyn Sanfilippo

Book Chapters

Smart city technology has its value and its place; it isn’t automatically or universally harmful. Urban challenges and opportunities addressed via smart technology demand systematic study, examining general patterns and local variations as smart city practices unfold around the world. Smart cities are complex blends of community governance institutions, social dilemmas that cities face, and dynamic relationships among information and data, technology, and human lives. Some of those blends are more typical and common. Some are more nuanced in specific contexts. This volume uses the Governing Knowledge Commons (GKC) framework to sort out relevant and important distinctions. The framework grounds …

Quantifying Human Mobility Patterns During Disruptive Events With Geospatial Big Data, Yuqin Jiang

Theses and Dissertations

Understanding human mobility patterns is an essence for geography and geographical information science. Although existing studies have found that human mobility patterns are highly predictable, such patterns can be disrupted by events, ranging from sports games to natural hazard caused evacuations. However, traditional data collection methods that heavily rely on self-reported travel behaviors are often delayed and at a small scale, and thus are often not sufficient to reveal the disrupted human mobility patterns. Fortunately, with the development of geolocating-related technologies, multiple platforms are able to capture human mobility data in unprecedented spatiotemporal scales and granularities. These data, such as …

Research Data Management: A Review Of Uae Academic Library Experience, Judith Mavodza

All Works

Purpose: This paper is a review of the status of Research Data Management (RDM) efforts in UAE public university libraries. Approach: The investigation is through examining available literature about the topic using region-specific articles when available, librarian comments, and the information provided by UAE university library websites. Existing lessons and policy documents are sought, and plans suggested for local solutions, suggesting avenues for progress. Findings: Though not a new concept, findings indicate that local RDM activities are emerging, but knowledge of their importance of exists. Research limitations: This review is limited to public university libraries though the results and experiences …

Advancing Data Literacy: Mapping Business Data Literacy Competencies To The Acrl Framework, Patricia B. Condon, Wendy G. Pothier

Faculty Publications

The relationship between data literacy and business librarianship continues to grow in relevance as the conversation intensifies in higher education and the business world. Establishing shared vocabularies and mappings to foundational library professional documents is essential to moving the discourse forward. This article presents a mapping between seven baseline business data literacy competencies and the ACRL Framework for Information Literacy for Higher Education.

Utilizing The Potentials Of Big Data In Library Environments In Nigerian For Recommender Services, Job Onekutu Sani, Nneka Angela Oseji

Library Philosophy and Practice (e-journal)

The big data revolution has gained global attention and initiated creative innovations in every field and libraries as engines of access to information have also been affected by this new trend. Libraries in this part of the world have not utilized the amazing potential of big data in library services. In this time, when various terms such as algorithms age, petabytes age, data age, etc. are been used to describe the activities initiated by machine learning, industries and organizations can achieve much by incorporating inspiring and innovative tools to improve services and performance. In this vein libraries in Nigeria are …

The Kind Of Solution A Smart City Is: Knowledge Commons And Postindustrial Pittsburgh, Michael J. Madison

Book Chapters

This case study brings new attention to a critical but under-appreciated dimension of so-called “smart” cities: how smart city governance builds and relies on institutionalized sharing of data, information, and other forms of knowledge across all sectors of public administration. Those smart city practices are referred to here as knowledge commons and systematized using the Governing Knowledge Commons (GKC) research framework. That framework extends and modifies Ostrom’s research tradition as to community-based resource governance. As with other GKC-focused research, this work relies on a qualitative case study. It draws a detailed, context-specific portrait of a smart city as knowledge commons …

Relevance Of Internet Of Things To Health Institutions In Clinical Data Management: Implication For Librarians, Faith O. Mesagan, Moses Elechi, Francis O. Adurota, Chinedu Obinna Ejimonye, Onyinyechi G. Ossai

Library Philosophy and Practice (e-journal)

The Internet of Things (IoT) is the internetworking of physical devices which consists of an embedded system with sensors, actuators and network connectivity that enable collection and exchange of data. Each day, we are witnessing the emergence of new technologies that have the capability to embed into our environment and measure the physical, social and contextual phenomenon. The technology behind IOT is driven by various technological forces such as smart devices, wireless network, and pervasive connectivity among others. Data collection, management and accessibility are made easy with Internet of Things IOT. The Internet of Things (IoT) is aimed at formulating …

Predicting Lis Scholarly Research Directions In The Era Of Data Science, Nazia Ismail Chohdary Mphil, Mahe Bushra Asghar Phd, Muhammad Ahmad Al Shaheer

Library Philosophy and Practice (e-journal)

Abstract

Purpose –The purpose of this paper is to present the quantitative analysis of scholarly literature published worldwide on Data Science in the field of Library and Information Science (LIS).

Design/methodology/approach –The Web of Science (WoS) Core Collection database was used as the main source for extracting data from the published documents during the period 2010-2019. The analysis of the published documents was based on the following important trends: Number of Data Science publications in all fields, Number of Data Science publications in the LIS field, the most cited document type on Data Science in LIS perspective, the …

Mapping Historical Archaeology And Industrial Heritage: The Historical Spatial Data Infrastructure, Daniel Trepal, Don Lafreniere, Timothy Stone

Michigan Tech Publications

While a vibrant and growing research literature exists on the value of GIS to archaeology in general, the application of geospatial digital data to the subfield of historical archaeology is less well developed, especially in North America. This is particularly true for the era of industrialization, where the archaeological record is accompanied by a comparatively rich historical record. Historical and industrial archaeology are fundamentally bound up in the interplay between material and historical data, and it is in enhancing the dialogue between these two evidentiary bodies that interdisciplinary geospatial approaches are most fruitful to these subdisciplines. Drawing on recent discussions …

The Role Of Social Media In Policy Formulation Improvement In California, Khoi Minh Nguyen

Master's Projects

How could staff members of California Assembly members use social media to improve policy formulation? The purpose of this study is to assess the role that social media platforms such as Twitter and Facebook could play in the formulation and evaluation of policies in the state of California, given the increasing application of big data in decision making in the private sector. This study further evaluated how emerging technologies such as machine learning and artificial intelligence could be used to determine the attitudes and perceptions of the citizens of California, specifically on policy issues, and analyze how these technologies could …

Big Data Analytics In Public Sector University Libraries In Pakistan, Sadaf Shahid, Rafat Parveen Siddiqui

Libraries

This study examines librarians' perceptions, capabilities, and understandings of Big Data analytics in public sector university libraries in Karachi, Pakistan. To acquire the desired results, a survey was conducted and using a quantitative approach. The study's target audience was library administrators at public sector university libraries in Karachi, all of which are recognized by Pakistan's Higher Education Commission and chartered by the Sindh Government. All respondents were sent an e-mail inviting them to participate in the survey on their own time. This study is important because it fills a large vacuum in the literature about the perspectives of Karachi's public …

Fair Play: Notes On The Algorithmic Soccer Referee, Michael J. Madison

Articles

The soccer referee stands in for a judge. Soccer’s Video Assistant Referee (“VAR”) system stands in for algorithms that augment human deciders. Fair play stands in for justice. They are combined and set in a polycentric system of governance, with implications for designing, administering, and assessing human-machine combinations.

Application Of Hadoop As Big Data Infrastructure In Libraries, Gopal Ji, Ranjeet Kumar Singh

Library Philosophy and Practice (e-journal)

In the era of data explosion and big data, it is a challenging task for the data managers or data analysts to store and process big data for analysis and visualize it. Big data imposes many challenges and libraries to have big data which can be analyzed to bring new insights which will help in managing the library and its services better. The present study shows the traces of big data in libraries and how library big data can be used as an opportunity to serve the patrons better. The present study advocates the use of the Apache Hadoop framework …

Big Data Analytics In Public Sector University Libraries In Pakistan, Sadaf Shahid, Rafat Parveen Siddiqui

Library Philosophy and Practice (e-journal)

This study examines librarians' perceptions, capabilities, and understandings of Big Data analytics in public sector university libraries in Karachi, Pakistan. To acquire the desired results, a survey was conducted and using a quantitative approach. The study's target audience was library administrators at public sector university libraries in Karachi, all of which are recognized by Pakistan's Higher Education Commission and chartered by the Sindh Government. All respondents were sent an e-mail inviting them to participate in the survey on their own time. This study is important because it fills a large vacuum in the literature about the perspectives of Karachi's public …

Viral Data, Agnieszka Leszczynski, Matthew Zook

Geography Faculty Publications

We are experiencing a historical moment characterized by unprecedented conditions of virality: a viral pandemic, the viral diffusion of misinformation and conspiracy theories, the viral momentum of ongoing Hong Kong protests, and the viral spread of #BlackLivesMatter demonstrations and related efforts to defund policing. These co-articulations of crises, traumas, and virality both implicate and are implicated by big data practices occurring in a present that is pervasively mediated by data materialities, deeply rooted dataist ideologies that entrench processes of datafication as granting objective access to truth and attendant practices of tracking, data analytics, algorithmic prediction, and data-driven targeting of individuals …

The Future Of Policy Tools: Promises And Pitfalls, Michael Howlett, Ishani Mukherjee, Sarah Giest

Research Collection School of Social Sciences

The study of policy tools has been undertaken for several decades. It has isolated and examined many different types of tools utilized by governments over the course of history and examined in detail how they are arranged into policy mixes or portfolios of tools. Recent developments in society and technology, however, have brought to the fore the possibility of using new or previously little-used tools such as platforms, co-production, nudges, as well as data-driven techniques, such as big data and artificial intelligence. These are added to the toolbox governments have at their disposal when designing policy responses to both new …

Open Access E-Books On Big Data: An Analytical Study Through Doab, Sanghita De, Parikshit Mondal

Library Philosophy and Practice (e-journal)

1. Purpose: This study attempts to trace out the trend of use of open access e-books on Big Data through analytical study of bibliometric fields of the books.
2. Design methodology: The present quantitative study analyses different bibliographical attributes of the books like title, degree of author collaboration, citation, density of keywords, trend of subject, and marketing areas etc.
3. Findings: The bibliographic analysis of 127 books available in DOAB, finds that in spite of having a rising interest on the topic Big Data, a visible gap is seen in the availability of resources found in DOAB in the form of books …

Big Data And Openness: A Big Issue With Librarians, Oluwaseyi Wusu

Library Philosophy and Practice (e-journal)

Big data refers to the explosion of available information and knowing how to handle it is a big challenge to librarians in this age. The massive sample size and high dimensionality of big data introduce unique challenges to librarians, including scalability, sharing, intellectual properties and storage bottleneck. This paper overviews the opportunities and challenges brought by big data to librarians and presents ways of making data available for everyone to use without limitations, with emphasis on the distinguished roles librarians need to play in the era of Big Data and Openness to scholarly communications and, also presents the precision and …

Remote Sensing And Social Sensing For Improved Flood Awareness And Exposure Analysis In The Big Data Era, Xiao Huang

Theses and Dissertations

Floods are among the most devastating hazards on Earth, posing great threats to a large amount of population in the world. As the severity and frequency of flood events have noticeably increased, there is a growing need to improve the flood awareness and exposure analysis to assist flood mitigation. Fortunately, the Era of Big Data has fostered many innovative spatial data sources as well as spatial data analytics. This dissertation advances the existing flood monitoring studies by obtaining enhanced flood awareness via the development of a data fusion enable and deep learning supported flood monitoring framework that systematically integrates remotely …

The Diffusion Of Artificial Intelligence/Machine Learning Methods And Data Analytics Into An Undergraduate Nursing Research Course, Mary Anne Schultz

Q2S Enhancing Pedagogy

The project is the adoption of principles of Artificial Intelligence (AI)/Machine Learning and Data Analytics into a traditional nursing research (hypothesis testing) course. Necessitated by the recent entrance of “Big Data” use in health care, there is an urgent need to inject an understanding of the AI/ML techniques necessary to extract, organize and derive meaning from this huge amount of evidence in clinical decision-making. In fact, our department recently approved the adoption of Precision Health (PH) (the clinical use of the plethora of highly-individualized data in health & medical decisions) principles into six undergraduate courses, NURS 4222 (Nursing Research & …

Microlevel Movements Matter: Persuasion, Identity Performance, Performative Agency, And Resistance In Egypt On Twitter During The Egyptian Arab Spring, Audrey Cisneros

Open Access Theses & Dissertations

Micro-Level Movements Matter is a transnational digital study which explores audience and persuasion, identity performances and performative agency through an examination of Big Data gathered from Twitter's comprehensive historical archives collected from during the 2011 Egyptian revolution. In Egypt, the demonstrator's use of social media was extraordinarily savvy and persuasive-richly saturated in rhetorical devices effectively employed to appeal to wide swath of audiences. Overtime participatory discourse on social media engaged new ideas and dissenting socio-political thoughts, crafted shifting identities, refashioned new possibilities and futures community wide, and resulted in a remarkably successful large scale mobilization campaign. To conduct my study …

Social Media And Customer Engagement: Customer Relations In A Digital Era, Nadia Delanoy

Walden Dissertations and Doctoral Studies

Traditional big data analytics do not include the contextual facets that social media narratives and customer engagement do. There is currently a gap in research on how customer relations managers can integrate social media in their existing data analytics to improve business performance. The purpose of this qualitative, exploratory multiple case study was to further understand of how customer relations managers can use social media within the context of already existing data analytics across industries in Canada. Communication theory was the conceptual lens for assessing customer relations management and consumer feedback within an increasingly digital business environment. Purposeful sampling was …

Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii

Walden Dissertations and Doctoral Studies

Many data scientists are struggling to adopt effective data governance practices as they transition from traditional data analysis to big data analytics. Data governance of big data requires new strategies to deal with the volume, variety, and velocity attributes of big data. The purpose of this qualitative multiple case study was to explore big data governance strategies employed by data scientists to provide a holistic perspective of those data for making decisions. The participants were 10 data scientists employed in multiple mid-market companies in the greater Salt Lake City, Utah area who have strategies to govern big data. This study’s …

Arabia Felix 2.0: A Cross-Linguistic Twitter Analysis Of Happiness Patterns In The United Arab Emirates, Aamna Al Shehhi, Justin Thomas, Roy Welsch, Ian Grey, Zeyar Aung

All Works

© 2019, The Author(s). The global popularity of social media platforms has given rise to unprecedented amounts of data, much of which reflects the thoughts, opinions and affective states of individual users. Systematic explorations of these large datasets can yield valuable information about a variety of psychological and sociocultural variables. The global nature of these platforms makes it important to extend this type of exploration across cultures and languages as each situation is likely to present unique methodological challenges and yield findings particular to the specific sociocultural context. To date, very few studies exploring large social media datasets have focused …