Physical Sciences and Mathematics Commons^™

The Minority In The Minority, Black Women In Computer Science Fields: A Phenomenological Study, Blanche' D. Anderson

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of Black women with a bachelor’s, master’s, or doctoral degree in computer science, currently employed in the United States. The theory guiding this study was Krumboltz’s social learning theory of career decision-making, as it provides a foundation for understanding how a combination of factors leads to an individual’s educational and occupational preferences and skills. This qualitative study answered the following central research question: What are the lived experiences of Black women with a bachelor’s, master’s, or doctoral degree in computer science, currently employed in the United States? …

Predicting Covid-19 Fake News, Nilanjana Nambiar

Honors Projects in Data Science

The aim of this project is to use a machine learning model to identify COVID-19 fake news on Twitter and perform additional analysis on the fake news tweets to distinguish any common trends. As misinformation is very common in the information found online, the purpose of the study is to see how machine learning can be used to discern what information can be classified as true versus what is false. Prior research regarding fake news detection, modeling, and analysis was conducted to familiarize on the current studies provided in predicting and analyzing COVID-19 fake news on Twitter. In this study, …

Comparison Of The Mental Burden On Nursing Care Providers With And Without Mat-Type Sleep State Sensors At A Nursing Home In Tokyo, Japan: Quasi-Experimental Study, Sakiko Itoh, Hwee-Pink Tan, Kenichi Kudo, Yasuko Ogata

Research Collection School Of Computing and Information Systems

Background: Increasing need for nursing care has led to the increased burden on formal caregivers, with those in nursing homes having to deal with exhausting labor. Although research activities on the use of internet of things devices to support nursing care for older adults exist, there is limited evidence on the effectiveness of these interventions among formal caregivers in nursing homes. Objective: This study aims to investigate whether mat-type sleep state sensors for supporting nursing care can reduce the mental burden of formal caregivers in a nursing home. Methods: This was a quasi-experimental study at a nursing home in Tokyo, …

From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter

All Faculty Scholarship

Artificial intelligence, or “AI,” is raising alarm bells. Advocates and scholars propose policies to constrain or even prohibit certain AI uses by governmental entities. These efforts to establish a negative right to be free from AI stem from an understandable motivation to protect the public from arbitrary, biased, or unjust applications of algorithms. This movement to enshrine protective rights follows a familiar pattern of suspicion that has accompanied the introduction of other technologies into governmental processes. Sometimes this initial suspicion of a new technology later transforms into widespread acceptance and even a demand for its use. In this paper, we …

Antitrust By Algorithm, Cary Coglianese, Alicia Lai

All Faculty Scholarship

Technological innovation is changing private markets around the world. New advances in digital technology have created new opportunities for subtle and evasive forms of anticompetitive behavior by private firms. But some of these same technological advances could also help antitrust regulators improve their performance in detecting and responding to unlawful private conduct. We foresee that the growing digital complexity of the marketplace will necessitate that antitrust authorities increasingly rely on machine-learning algorithms to oversee market behavior. In making this transition, authorities will need to meet several key institutional challenges—building organizational capacity, avoiding legal pitfalls, and establishing public trust—to ensure successful …

Climate Change And Cop26: Are Digital Technologies And Information Management Part Of The Problem Or The Solution? An Editorial Reflection And Call To Action, Yogesh K. Dwivedi, Laurie Hughes, Arpan Kumar Kar, Abdullah M. Baabdullah, Purva Grover, Roba Abbas, Daniela Andreini, Iyad Abumoghli, Yves Barlette, Deborah Bunker, Leona Chandra Kruse, Ioanna Constantiou, Robert M. Davison, Rahul De', Rameshwar Dubey, Henry Fenby-Taylor, Babita Gupta, Wu He, Mitsuru Kodama, Matti Mäntymäki, Bhimaraya Metri, Katina Michael, Johan Olaisen, Niki Panteli, Samuli Pekkola, Rohit Nishant, Ramakrishnan Raman, Nripendra P. Rana, Frantz Rowe, Suprateek Sarker, Brenda Scholtz, Maung Sein, Jeel Dharmeshkumar Shah, Thompson S.H. Teo, Manoj Kumar Tiwari, Morten Thanning Vendelø, Michael Wade

Information Technology & Decision Sciences Faculty Publications

The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 °C above pre-industrial levels by 2050. Whilst the political aspects and subsequent ramifications of these fundamental and critical decisions cannot be underestimated, there exists a technical perspective where digital and IS technology has a role to play in the monitoring of potential solutions, but also an integral element of climate change solutions. We explore these aspects in this editorial article, offering a comprehensive opinion based insight to a …

Predicting The Outcome Of Nba Games, Matthew Houde

Honors Projects in Data Science

The aim of the project is to create a machine learning model to predict NBA games. The purpose is to build upon and improve existing models. Research into other predictive sports models and machine learning techniques was conducted to understand what is currently being done to predict NBA games and how effective it is in doing so. After a thorough literary review, the model was created using Python and a variety of machine learning techniques. The dataset used had an array of team statistics for both the home and away team for each corresponding matchup and two supporting features were …

Rfid Adaption In Healthcare Organizations: An Integrative Framework, Ahed Abugabah, Louis Sanzogni, Luke Houghton, Ahmad Ali Alzubi, Alaa Abuqabbeh

All Works

Radio frequency identification (RFID), also known as electronic label technology, is a non-contact automated identification technology that recognizes the target object and extracts relevant data and critical characteristics using radio frequency signals. Medical equipment information management is an important part of the construction of a modern hospital, as it is linked to the degree of diagnosis and care, as well as the hospital's benefits and growth. The aim of this study is to create an integrated view of a theoretical framework to identify factors that influence RFID adoption in healthcare, as well as to conduct an empirical review of the …

Experiential Learning In The Technology Disciplines February 2020, Patricia Sendall, Christopher S. Stuetzle, Zachary A. Kissel, Tahir Hameed

Computer Science Faculty Publications

Learning-by-doing has long been a tradition in the technology disciplines. It is the "hands-on" work, combined with student reflection, feedback and assessment, that reinforces theory into practice. Over the past 40 years, experiential learning (EL) in higher education has grown beyond in-class assignments to include internships, cooperative education, team-based learning, project-based learning, community engagement, service learning, international and study-away experiences, capstone projects and research opportunities. This paper provides an overview of experiential education theory and practice in the undergraduate technology disciplines, and presents examples of how experiential learning practices have evolved over time at a medium-sized institution in the Northeast …

Data Visualization Assignments For Principles Of Information Technology Management (Csu), Jennifer Pitts

Computer Science and Information Technology Ancillary Materials

This set of ancillary materials for Principles of Information Technology Management was created under a Round Eleven Mini-Grant for Ancillary Materials Creation and Revision. The skills covered in these lessons, using the Tableau data visualization and analysis tool, include:

• Instructor information for installing Tableau
• Dashboard creation
• Worksheet creation
• Data segmentation and analysis
• Geographic data visualization

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

Managing Cyber Risks & Business Exposure In The Surface Transportation Ecosystem, Jacques R. Francoeur

Mineta Transportation Institute

This report focuses on Surface Transportation (ST), both fixed and route-based, and the growing threats to their information technology (IT) infrastructures. As an industry, ST seeks to optimize the movement of people and goods, while ensuring safety and resiliency and minimizing environmental impact. Cyber threats are a powerful medium for those with the political, social, and economic motivations and wherewithal to disrupt and destroy existing ST systems. The ultimate objective is to develop a new paradigm to define, describe, design, and deploy the most effective protection, at the lowest cost, in the shortest time within the limits of available resources. …

A Com Parison Of Classical And Quantum Implement Ations Of A Random Number Generator: An Introduction To Quantum Computing, Charlotte Coffin

Honors College Theses

Quantum computers have potential to contribute to advancements in many disciplines including chemistry, material science, and artificial intelligence. As quantum computers become more accessible, there is a greater need for people to understand quantum computation to spearhead such advancements. This thesis discusses the basics of quantum computing, including fundamental concepts and a literature review. In order to demonstrate how quantum computation works, a random number generator is implemented on a quantum computer simulator and compared to a random number generator implemented on a classical computer. The results of the two experiments are compared. The results show that a quantum random …

Zero Textbook Cost Syllabus For Cis 2200h (Introduction To Information Systems And Technologies), Curtis Izen

Open Educational Resources

This course introduces students to information systems in business. Due to the rapid developments in Information Technology (IT) and the dramatic changes brought by these new technologies in the way companies operate, compete and do business, familiarity with information systems has become indispensable for the leaders of today and tomorrow's organizations.

Feature Detection In Medical Images Using Deep Learning, Anthony Pasquarelli

Honors Projects in Information Systems and Analytics

This project explores the use of deep learning to predict age based on pediatric hand X-Rays. Data from the Radiological Society of North America’s pediatric bone age challenge were used to train and evaluate a convolutional neural network. The project used InceptionV3, a CNN developed by Google, that was pre-trained on ImageNet, a popular online image dataset. Our fine-tuned version of InceptionV3 yielded an average error of less than 10 months between predicted and actual age. This project shows the effectiveness of deep learning in analyzing medical images and the potential for even greater improvements in the future. In addition …

Artificial Intelligence And It Professionals, Sunil Mithas, Thomas Kude, Jonathan W. Whitaker

Management Faculty Publications

How will continuing developments in artificial intelligence (AI) and machine learning influence IT professionals? This article approaches this question by identifying the factors that influence the demand for software developers and IT professionals, describing how these factors relate to AI, and articulating the likely impact on IT professionals.

Essentialism, Social Construction, Or Individual Differences, Jenelys Cox, Jeff Rynhart, Shea-Tinn Yeh

University Libraries: Staff Scholarship

Per the United States Department of Labor Women’s Bureau’s latest available statistics, the percentage of women employed in computer and information technology occupations was consistently lower than the average for all occupations. When broken down by selected characteristics, these numbers range from 12.4% in computer network architectures to 35.2% in web development. Is this trend reflected in the libraries? Although no comprehensive statistics are available for women in library IT, Lamont’s study does reflect the same trend in that the number of women as library IT department heads has been about one half that of men between 2004-2008. Why is …

Earning A Seat At The Table: How It Departments Can Partner In Organizational Change And Innovation, Robert L. Moore, Nathan Johnson

STEMPS Faculty Publications

Few would argue that the information technology department (ITD) is not an essential part of an organization. It is hard to envision a project that does not need the support of the ITD. Despite this importance, the ITD is not always involved in the management of projects. Often, the ITD is brought into the project late in the planning and development process. In many cases, the inclusion of the ITD in an advanced project stage can result in project failure where early involvement could have prevented it. Why is it that ITDs, while clearly a vital part of project implementation, …

2016-01-A3dsrinp-Csc-Sta-Cmb-522-Bps-542, Raymond Pulver, Neal Buxton, Xiaodong Wang, John Lucci, Jean Yves Hervé, Lenore Martin

Bioinformatics Software Design Projects

Cholesterol is carried and transported through bloodstream by lipoproteins. There are two types of lipoproteins: low density lipoprotein, or LDL, and high density lipoprotein, or HDL. LDL cholesterol is considered “bad” cholesterol because it can form plaque and hard deposit leading to arteries clog and make them less flexible. Heart attack or stroke will happen if the hard deposit blocks a narrowed artery. HDL cholesterol helps to remove LDL from the artery back to the liver.

Traditionally, particle counts of LDL and HDL plays an important role to understanding and prediction of heart disease risk. But recently research suggested that …

Creating A Better World With Information And Communication Technologies: Health Equity, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Publications

When news broke on 23rd July 2014, that a case of the deadly virus Ebola had been confirmed in Lagos, home to about 21 million people and a major transportation hub, the World held its breath. If not contained, this virus could spread quickly killing a multitude of people around the World. By 15th October, cases of Ebola had been recorded around the World: Liberia reported 4249 cases with 2458 deaths, Sierra Leone reported 3252 cases with 1183 deaths, Guinea 1472 cases with 843 deaths, Nigeria reported 20 cases with 8 deaths, the USA reported 3 cases and 1 death, …

Big Data And The Fourth Estate: Protecting The Development Of News Media Monitoring Databases, Joseph A. Tomain

Articles by Maurer Faculty

No abstract provided.

Mathematical Modeling Of Trending Topics On Twitter, Jonathan S. Skaza

Honors Projects in Mathematics

Created in 2006, Twitter is an online social networking service in which users share and read 140-character messages called Tweets. The site has approximately 288 million monthly active users who produce about 500 million Tweets per day. This study applies dynamical and statistical modeling strategies to quantify the spread of information on Twitter. Parameter estimates for the rates of infection and recovery are obtained using Bayesian Markov Chain Monte Carlo (MCMC) methods. The methodological strategy employed is an extension of techniques traditionally used in an epidemiological and biomedical context (particularly in the spread of infectious disease). This study, which addresses …

A Comparative Review Of Information Technology Project Management In Private And Public Sector Organization, Muhammad Obeidat, Max North

Faculty and Research Publications

Both private and public sector organizations tend to recognize the prominence of information technology within project management techniques and practices. The primary objective of this paper is to present a comparative review of information technology within project management in private and public sectors. Moreover, this research provides an extensive review of related topics such as the evolution of information technology, factors contributing to project abandonment, and the tools and techniques of management that effect project success. In conclusion, the authors present a variety of practical and effective guidelines and recommend approaches for the successful deployment of information technology within project …

Information Technology Sourcing Across Cultures: Preparing Leaders For Cross-Cultural Engagements And Implementing Best Practices With Cultural Sensitivity, Wayne Gordon Moran

Antioch University Dissertations & Theses

This research exercised a mixed method exploratory sequential design inquiry into the topical area of leadership behaviors and cross-cultural awareness that permeate successful global information technology (IT) outsource alliances. When IT is aligned with an entity's objectives, strategic technology leadership is actively engaged in governance, infrastructure architecture, planning, and cross-cultural collaboration. Bilateral contracting foster and forge interactive organizational cultures however, the advent of right shoring has introduced cultural complexity for IT leadership roles born of national, international, and sub-culture global dimensions. This research surfaced significant variations in IT professional opinions as to the leadership practices, cultural compatibility and service fulfillment …

Orienteering In Knowledge Spaces: The Hyperbolic Geometry Of Wikipedia Mathematics, Gregory Leibon, Daniel N. Rockmore

Dartmouth Scholarship

In this paper we show how the coupling of the notion of a network with directions with the adaptation of the four-point probe from materials testing gives rise to a natural geometry on such networks. This four-point probe geometry shares many of the properties of hyperbolic geometry wherein the network directions take the place of the sphere at infinity, enabling a navigation of the network in terms of pairs of directions: the geodesic through a pair of points is oriented from one direction to another direction, the pair of which are uniquely determined. We illustrate this in the interesting example …

Time Series Data Mining: A Retail Application Using Sas Enterprise Miner, Daniel Hebert

Honors Projects in Mathematics

Modern technologies have allowed for the amassment of data at a rate never encountered before. Organizations are now able to routinely collect and process massive volumes of data. A plethora of regularly collected information can be ordered using an appropriate time interval. The data would thus be developed into a time series. With such data, analytical techniques can be employed to collect information pertaining to historical trends and seasonality. Time series data mining methodology allows users to identify commonalities between sets of time-ordered data. This technique is supported by a variety of algorithms, notably dynamic time warping (DTW). This mathematical …

Personal Reflections From Eportfolio: Ahrc New York City, Md Alam

Community Action Forum: Seidenberg School

No abstract provided.

Personal Reflections From Eportfolio: Ahrc New York City, Adriana Arias

Community Action Forum: Seidenberg School

No abstract provided.

Personal Reflections From Eportfolio: Ahrc New York City, Dominic Dibiase

Community Action Forum: Seidenberg School

No abstract provided.

Personal Reflections From Eportfolio: Ahrc New York City, Cindy Guerrero

Community Action Forum: Seidenberg School

No abstract provided.