Social and Behavioral Sciences Commons^™

Identifying Optimal Course Structures Using Topic Models, Tehut Tesfaye Biru

Dartmouth College Undergraduate Theses

This research project investigates whether there exists an optimal way to structure topics in educational course content that results in higher levels of engagement among students. It is implemented by fitting topic models to transcripts of educational videos contained in the Khan Academy platform. The fitted models were used to extract topic trajectories across time for each video and subsequently clustered based on whether they have similar “shapes”. The differences in mean engagement metrics per cluster suggest that some course shapes are more palatable to students regardless of subject matter. Additionally, the topic trajectories suggest a constant progression of topics …

Facing Truths: Facial Recognition Software In Digital Archives, Rebecca Bakker, Kelley Flannery Rowan

Works of the FIU Libraries

This presentation discusses research conducted on various facial recognition software and was funded by a LYRASIS Catalyst Fund grant. The goal of the research was to determine whether facial recognition software could be adapted to work with older, often faded or discolored historical photos and still accurately identify faces in photographs. Such software capabilities would be highly beneficial for librarians and archivists in creating quality metadata by identifying unknown people in photos. It would also assist archivists in finding the photos patrons and partners are seeking. The research brought to light the many ethical controversies associated with facial recognition technology, …

Reimagining The Archive For Computational Analysis At Scale, Jamie Rogers

Works of the FIU Libraries

This presentation was part of a three-segment panel discussion sponsored by IS&T, the Society for Imaging Science and Technology, titled "OCR and Text Recognition: Workflows, Trends, and New Applications." This segment covers ways in which we have re-conceptualized archive materials as computationally useful data as well as the value of utilizing data at scale to impact research possibilities. We have been able to accomplish this through an ongoing project "dLOC as Data: A Thematic Approach to Caribbean Newspapers," a collaborative initiative between the Digital Library of the Caribbean, University of Florida, and Florida International University.

My Interdisciplinary Perspective On Climate Change [Natural Sciences], Richa Gupta, Tuli Chatterji, Tao Chen, Rebecca Schwartz

Open Educational Resources

This assignment titled “My Interdisciplinary Perspective on Climate Change” was developed in Fall 2020 as the signature assignment of the STEM Learning Community LC50 for students enrolled in the Biology program of the Natural Sciences department, at LaGuardia Community College, CUNY. The assignment targets Integrative Learning and Global Learning Core Competencies, and Digital/Oral Communication Abilities.

For this STEM Cluster, “Climate Change” is the shared theme that connects learning from the different disciplines and helps build students’ overall knowledge on an imperative issue that our planet currently faces. Work on this assignment entails a narrated digital student presentation on the various …

Progression Magazine, 2021 Summer, Coastal Carolina University

Progression Magazine

Magazine of the College of Science at Coastal Carolina University.

The Economic Value Of America’S Estuaries: 2021 Report, Tracy Rouleau, Charles S. Colgan, Jefferey Adkins, Castelletto Anthony, Dirlam Patty, Shannon Lyons, Hilary Stevens

Publications

This study builds on the work completed in 2009, “The Economic and Market Value of Coasts and Estuaries: What’s At Stake?,” a report by NOAA in collaboration with the Center for the Blue Economy and the Ocean Foundation, at the request of Restore America’s Estuaries. Like the 2009 study, the 2021 update uses the same data sources (Census, Bureau of Labor Statistics, Bureau of Economic Analysis and NOAA), and looks in detail at the same five major sectors of the U.S. economy (fisheries, energy infrastructure, marine transportation, real estate, and recreation) from 2009-2018.

The 2021 update includes the economic …

College Of Natural Sciences Newsletter, June 2021, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 2, Issue 6.

Page 1 Dean's Message
Page 2-6 Remembering the Life of Dr. Pengra and Celebrating His legacy for Entire Generations to Come.

Is It Fair That Advanced Workers Get Paid Disproportionally More: Economic Analysis, Olga Kosheleva, Sean R. Aguilar

Departmental Technical Reports (CS)

On the one hand, everyone agrees that economics should be fair, that workers should get equal pay for equal work. Any instance of unfairness causes a strong disagreement. On the other hand, in many companies, advanced workers -- who produce more than others -- get paid dispropotionally more for their work, and this does not seem to cause any negative feelings. In this paper, we analyze this situation from the economic viewpoint. We show that from this viewpoint, additional payments for advanced workers indeed make economic sense, benefit everyone, and thus -- in contrast to the naive literal interpretation of …

Understory Species Increase Project: Investigating The Revegetation Of Native Herbaceous Species From Seed In Urban Forest Fragments, Erin Mcelroy

Environmental Science and Management Professional Master's Project Reports

Management of urban forest fragments often aims to reduce invasive species and promote native species abundance and diversity. Often, these environments lack natural establishment of native forest species, including herbaceous species that are especially sensitive to site conditions. While herbaceous understory species may represent a small proportion of forest biomass, they perform important functions within forest environments, including nutrient cycling, erosion and runoff control, and providing habitat for wildlife, as well as hosting the greatest biodiversity among other forest strata. However, many restoration projects focus primarily on the revegetation of dominant woody forest species, such as hardwood trees and shrubs. …

Construct Validity And Invariance Assessment Of The Social Impacts Of Occupational Heat Stress Scale (Siohss) Among Ghanaian Mining Workers, Victor F. Nunfam, Ebenezer Afrifa-Yamoah, Kwadwo Adusei-Asante, Eddie J. Van Etten, Kwasi Frimpong, Isaac Adjei-Mensah, Jacques Oosthuizen

Research outputs 2014 to 2021

Heat exposure studies over the last decade have shown little attention in assessing and reporting the psychometric properties of the various scales used to measure impacts of occupational heat stress on workers. A descriptive cross-sectional survey including 320 small- and large-scale mining workers was employed to assess the construct validity of the social impacts of occupational heat stress scale (SIOHSS) in the Western Region of Ghana in 2017. A confirmatory factor analysis (CFA) and invariance analysis were carried out using AMOS version 25 and statistical product and service solutions (SPSS) version 26 to examine the model fit and establish consistency …

Heavy Metal Contamination In Drinking Water And Its Connection To Superfund Site Related Environmental Injustice, Emily Caruso

Honors Theses

Equal access to clean, potable drinking water is crucial for our society’s health and advancement. In 2014, the infamous water crisis in Flint, Michigan, shed light on the widespread water quality issues impacting numerous communities in America. In response to the Flint water crisis, Union College established the Union College Water Initiative, providing free drinking water analyses to the public. This initiative aims to raise awareness and educate people by analyzing heavy metals commonly found in drinking water—specifically lead, copper, and zinc.

As a part of this initiative, I collected over 300 cold drinking water samples from residences, schools, and …

Influence Of Climate Change On Forest Fire Occurrence And Distribution Of Sri Lanka And Modeling Of Forest Fire, Mohan Heenatigala

Environmental Science and Management Professional Master's Project Reports

Forest fire is one of the main causes for forest degradation and deforestation which affect ecosystem services provided by the given landscapes. Weather variables like temperature, wind speed and direction, rainfall, and relative humidity also govern the forest fire regime and vulnerability. On the other hand, forest fuel characteristics, human impacts, population density, forest canopy density, slope, elevation, road density, closeness to the human settlement areas are other factors that determine the forest fire impact and potential of damage. Annually, 100 to 2500 hectares of forest resources are damaged due to forest fires in Sri Lanka. From the past few …

How Social Media And Embedded Recommender Algorithm Fostered Political Issues, Yan Shi

School of Professional Studies

Social media plays a significant role in social communication and interaction, connecting people from different continents and facilitating information flaws worldwide. Meanwhile, along with the evolution of embedded recommender algorithms that clustering people with similar demographic features, social media has become the most important means of communication for modern society. However, the prosper of interconnecting platforms also have potential flows alongside. One of the major issues is the unexpected political consequence. This paper delivers the first comprehensive analysis of the political impacts posed by social media and embedded recommending algorithms. The article identifies three major political concerns through literature review, …

Towards Consumer-Oriented Mushroom-Based Product Development: An Exploratory Study In Rice-Based Farming Communities In Central Luzon, Philippines, Josefina F. Ballesteros, Rosaly V. Manaois, Amelia V. Morales, Riza Abilgos-Ramos

Journal of Economics, Management and Agricultural Development

This study determined consumers’ awareness and interest towards mushroom and mushroom-based product ideas. A survey of 222 adults was conducted in rice-based farming communities in selected provinces, namely, Aurora,
Bulacan, Nueva Ecija, and Pampanga. Results showed that taste, nutritional, and health benefits were the top attributes considered by both sexes whenever they buy food for household consumption. Most of the respondents (99%) liked eating mushroom because of its palatability (71%) and perceived healthiness (26%). However, the majority (76%) consumed mushrooms only once a month or seldom in a year due to its limited availability. Food supplements, coffee-like beverages, and snacks …

Improving Existing Methods For Calculating Embodied Carbon Emissions In Trade Through Feature Discovery: An Information Theoretic Approach, Sam Morton

Dartmouth College Undergraduate Theses

The continued societal and ecological risks posed by climate change have spurred renewed interest in quantitative tools that can improve policy aimed at climate mitigation. In 2008, international trade accounted for up to 26\% of global anthropogenic emissions, and therefore trade has garnered increased attention from policymakers seeking carbon mitigation. The concept of embodied carbon emissions in trade (EET) quantifies overall carbon emitted in the production and transport of goods for the purposes of trade. EET in theory could prove an indispensable tool to climate-concerned policymakers, but current implementations and data availability limit EET calculation to annual snapshots that extend …

A Configurable Social Network For Running Irb-Approved Experiments, Mihovil Mandic

Dartmouth College Undergraduate Theses

Our world has never been more connected, and the size of the social media landscape draws a great deal of attention from academia. However, social networks are also a growing challenge for the Institutional Review Boards concerned with the subjects’ privacy. These networks contain a monumental variety of personal information of almost 4 billion people, allow for precise social profiling, and serve as a primary news source for many users. They are perfect environments for influence operations that are becoming difficult to defend against. Motivated to study online social influence via IRB-approved experiments, we designed and implemented a flexible, scalable, …

Detecting Receptivity For Mhealth Interventions In The Natural Environment, Varun Mishra, Florian Künzler, Jan-Niklas Kramer, Elgar Fleisch, Tobias Kowatsch, David Kotz

Dartmouth Scholarship

Just-In-Time Adaptive Intervention (JITAI) is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is properly timing the delivery of interventions, to ensure that a user is receptive and ready to process and use the support provided. Some prior works have explored the association of context and some user-specific traits on receptivity, and have built post-study machine-learning models to detect receptivity. For effective intervention delivery, however, a JITAI system needs to make in-the-moment decisions about a user's receptivity. To this end, …

Promoting And Teaching Responsible Leadership In Software Engineering, Devender Goyal, Luiz Fernando Capretz

Electrical and Computer Engineering Publications

As software and computer technology is becoming more prominent and pervasive in all spheres of life, many researchers and industry folks are realizing the importance of teaching soft skills and values to CS and SE students. Many researchers and leaders, from both academic and non-academic world, are also calling for software researchers and practitioners to seriously consider human values, like respect, integrity, compassion, justice, and honesty when building software, both for greater social good and also for financial considerations. In this paper, we propose and wish to promote teaching soft skills, values, and responsibilities to students, which we term as …

Topology Identification In Distribution System Via Machine Learning Algorithms, Peyman Razmi, Mahdi Ghaemi Asl, Giorgio Canarella, Afsaneh Sadat Emami

Economics Faculty Publications

This paper contributes to the literature on topology identification (TI) in distribution networks and, in particular, on change detection in switching devices' status. The lack of measurements in distribution networks compared to transmission networks is a notable challenge. In this paper, we propose an approach to topology identification (TI) of distribution systems based on supervised machine learning (SML) algorithms. This methodology is capable of analyzing the feeder's voltage profile without requiring the utilization of sensors or any other extraneous measurement device. We show that machine learning algorithms can track the voltage profile's behavior in each feeder, detect the status of …

Per-Pixel Cloud Cover Classification Of Multispectral Landsat-8 Data, Salome E. Carrasco [*], Torrey J. Wagner, Brent T. Langhals

Faculty Publications

Random forest and neural network algorithms are applied to identify cloud cover using 10 of the wavelength bands available in Landsat 8 imagery. The methods classify each pixel into 4 different classes: clear, cloud shadow, light cloud, or cloud. The first method is based on a fully connected neural network with ten input neurons, two hidden layers of 8 and 10 neurons respectively, and a single-neuron output for each class. This type of model is considered with and without L2 regularization applied to the kernel weighting. The final model type is a random forest classifier created from an ensemble of …

Current Stormwater Practices And Future Implementation At Portland State University With The Uncertainty Of Climate Change, Evan Suemori, Alexandra Vargas Quiñones

Environmental Science and Management Professional Master's Project Reports

Stormwater runoff is one of the most critical environmental issues in urban areas and is only expected to worsen as climate change persists (EPA, 2016). When precipitation events occur, stormwater travels across impervious surfaces collecting soils and pollutants which can negatively impact water quality in receiving waters. Additionally, stormwater has human health impacts, specifically through flooding and the contamination of drinking water. According to the Intergovernmental Panel on Climate Change (IPCC), it has been determined that climate change will increase the frequency, intensity, and/or number of precipitation events in some regions, including the Pacific Northwest, and decrease in others (IPCC, …

A Quantitative Argument For Autonomous Aerial Defense Overembedded Missile Systems To Thwart Cruise Threats, Andrew R. Davis

Theses and Dissertations

Given the high cost of missile defense systems, their ability to be overwhelmed, and rising tensions between the U.S. and adversaries in the Indo-Pacific region, a new modeled is proposed to investigate a new approach to missile defense. The Autonomous Aerial Defense Against Missiles (AADAM) system leverages reusable, small-scale UAVs to propose a cheaper, more effective system in defending against cruise missile threats. The aim of this system is to provide and additional layer in current missile defense strategies at lower-cost. This modeled system is found to outperform a modeled Patriot system in close-range interception of designated assets, with no …

Social Psychology Of Climate Change In The Asian Context: Introduction To Special Issue, Kim-Pong Tam, Angela K. Y. Leung, Susan Clayton

Research Collection School of Social Sciences

Climate change is one of the biggest challenges facing many countries in the Asia Pacific. Asia as a whole is a primary contributor to carbon emissions. According to the BP Statistical Review of World Energy 2020, the Asia Pacific region alone accounts for more than half of the world’s total greenhouse gas emissions. This represents an increase in consumption of oil, gas, and coal in Asia Pacific from 44.5% in 2009 to 50.5% in 2019. According to the review, compared to the rest of the world, Asia Pacific had the highest growth rate (2.7%) of carbon emissions between 2008 and …

The Impact Of Climate Change On Virginia's Coastal Areas, Jonathan L. Goodall, Antonio Elias, Elizabeth Andrews, Christopher "Kit" Chope, John Cosgrove, Jason El Koubi, Jennifer Irish, Lewis L. Lawrence Iii, Robert W. Lazaro Jr., William H. Leighty, Mark W. Luckenbach, Elise Miller-Hooks, Ann C. Phillips, Henry Pollard V, Emily Steinhilber, Charles Feigenoff, Jennifer Sayegh

Faculty Publications

As part of HJ47/SJ47 (2020), the Virginia General Assembly directed the Joint Commission on Technology and Science (JCOTS) to study the “safety, quality of life, and economic consequences of weather and climate-related events on coastal areas in Virginia.” In pursuit of this goal, the commission was to “accept any scientific and technical assistance provided by the nonpartisan, volunteer Virginia Academy of Science, Engineering, and Medicine (VASEM). VASEM convened an expert study board with representation from the Office of the Governor, planning district commissions in coastal Virginia, The Port of Virginia, the Virginia Economic Development Partnership, state universities, private industry, and …

On Predicting Personal Values Of Social Media Users Using Community-Specific Language Features And Personal Value Correlation, Amila Silva, Pei Chi Lo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Personal values have significant influence on individuals’ behaviors, preferences, and decision making. It is therefore not a surprise that personal values of a person could influence his or her social media content and activities. Instead of getting users to complete personal value questionnaire, researchers have looked into a non-intrusive and highly scalable approach to predict personal values using user-generated social media data. Nevertheless, geographical differences in word usage and profile information are issues to be addressed when designing such prediction models. In this work, we focus on analyzing Singapore users’ personal values, and developing effective models to predict their personal …

First Train Timetabling And Bus Service Bridging In Intermodal Bus-And-Train Transit Networks, Liujiang Kang, Hao Li, Huijun Sun, Jianjun Wu, Zhiguang Cao, Nsabimana Buhigiro

Research Collection School Of Computing and Information Systems

Subway system is the main mode of transportation for city dwellers and is a quite signif-icant backbone to a city's operations. One of the challenges of subway network operation is the scheduling of the first trains each morning and its impact on transfers. To deal with this challenge, some cities (e.g. Beijing) use bus 'bridging' services, temporarily substitut -ing segments of the subway network. The present paper optimally identifies when to start each train and bus bridging service in an intermodal transit network. Starting from a mixed integer nonlinear programming model for the first train timetabling problem, we linearize and …

An Analysis Of The Impacts Of Climate Change On Food Security In The Albertine Rift Of East Africa, Malcolm Jacob

Sustainability and Social Justice

As one of the most densely populated regions on the continent of Africa, the Albertine Rift (consisting of parts of Rwanda, Uganda, and the eastern DRC) faces ongoing problems providing enough food for its people through crop production, livestock husbandry, and other forms of food production. Even more troubling for the future is that anthropogenic climate change is expected to significantly exacerbate food insecurity. This paper addresses one central question: how will climate change impact food security in the Albertine Rift? Based on an analysis of available data, this paper finds that policymakers should listen closely to local farmers and …

How-To Present News On Social Media: A Causal Analysis Of Editing News Headlines For Boosting User Engagement, Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla

Research Collection School Of Computing and Information Systems

To reach a broader audience and optimize traffic toward news articles, media outlets commonly run social media accounts and share their content with a short text summary. Despite its importance of writing a compelling message in sharing articles, the research community does not own a sufficient understanding of what kinds of editing strategies effectively promote audience engagement. In this study, we aim to fill the gap by analyzing media outlets' current practices using a data-driven approach. We first build a parallel corpus of original news articles and their corresponding tweets that eight media outlets shared. Then, we explore how those …

Why Do Robots Have Smiley Faces?, Mark Findlay

Research Collection Yong Pung How School Of Law

The author discussed why engineers and designers provide machines with the semblance of friendliness, and why it takes more than that for humans to trust AI. The ground-breaking AI in community research and policy initiative by CAIDG, supported by the National Research Foundation Singapore under its Emerging Areas Research Projects Funding Initiative, seeks to understand how and why trust can be established when humans and machines come together.

Research On Climate Change In Social Psychology Publications: A Systematic Review, Kim-Pong Kam, Angela K. Y. Leung, Susan Clayton

Research Collection School of Social Sciences

There is a strong scientific consensus that anthropogenic climate change is happening and that its impacts can put both ecological and human systems in jeopardy. Social psychology, the scientific study of human behaviours in their social and cultural settings, is an important tool for understanding how humans interpret and respond to climate change. In this article, we offered a systematic review of the social psychological literature of climate change. We sampled 130 studies on climate change or global warming from 80 articles published in journals indexed under the “Psychology, social” category of Journal Citation Reports. Based on this sample, …