Social and Behavioral Sciences Commons^™

Why Foundations? The Theory And Strategy Of The General-Purpose Foundation, Samsher (Sam) Singh Gill

The Foundation Review

As foundations increasingly grapple with the penetration of socioeconomic dissension into every facet of our country’s public culture, it has become difficult to evade the moral salience of whether philanthropic wealth aggregation and allocation reflect or even entrench the structures of material accumulation many now see at the root of declining support for liberalism across advanced economies.

This essay argues that contrary to growing internal and external anxieties about the role and legitimacy of general-purpose foundations in the United States, there is a sound theoretical expression of them as an essential institution in a liberal democracy. The core principle of …

Editorial, Teresa R. Behrens

The Foundation Review

No abstract provided.

A Framework For Creating Systems Change, William Brown, Wynn Rosser

The Foundation Review

This article draws on a system-change framework developed by the Nicholson Foundation as part of a 20-year initiative to substantively change the state of New Jersey’s health and social welfare systems, and modifies and expands a single case study on system change to align with related ideas and concepts. A results-based accountability approach is integrated into the model to draw attention to the importance of monitoring and evaluation of population-based outcomes.

Drawing on extensive literature from systems change and performance management, the discussion provides insight and perspective on contemporary frameworks in systems change and the role of grantmaking foundations. The …

Reconciling Philanthropy’S Role In Disruption And Revolution: Hard Lessons From A Community-Driven Power-Building Strategy To Achieve Health Equity, Kien S. Lee, Courtney Ricci, Mia Ramirez

The Foundation Review

This article shares The Colorado Trust’s experience with Community Partnerships for Health Equity (CPHE) after initiating a resident-led strategy for systems change and encountering the myriad challenges to its implementation that ultimately led to exiting the initiative.

The CPHE strategy intended to fund community members directly instead of working through the nonprofit sector in the state, and thereby shift power from nonprofit organizations to residents. It eventually involved more than 20 communities across Colorado and created change in certain communities — from filling service gaps and creating local partnerships to shifting local systems.

The Trust had good intentions in its …

Impact Management Discipline: The Key To Effective Impact Investing And Grantmaking, Sarah Gelfand, Carli Roth, Mya Stanislas, Alexandra Zoueva

The Foundation Review

Foundations have a long history of putting impact at the center of their decision-making when allocating resources for grantmaking. Effective grantmaking follows clear processes that have similarities to the best practices employed by the impact investing community for effectively deploying and managing an impact investing portfolio. This is exemplified by the Operating Principles for Impact Management, a leading market standard for how to integrate impact considerations throughout the investment life cycle.

As a growing number of foundations embrace impact investing, understanding and comparing the impact management approach for grants (where it is enabled through monitoring, evaluation, and learning) versus that …

Widening The Aperture: A Case Study Of Widening The Definition Of Evidence For Strategy, Jennifer James, Sandra Hilliard

The Foundation Review

The need to “widen the aperture” to consider different types and sources of evidence is paramount to sharpening grantmaking strategies that are in service of those we seek to serve. This article describes an underlying process of identifying and applying equity considerations in the evidence considered for strategy development in the context of a large, national foundation.

The aim was to develop a “common evidence base” — the core of which was a database library — and what was understood from the evidence was synthesized to bring together what was currently known, the edges of the foundation’s understanding, and emerging …

Back Matter

The Foundation Review

No abstract provided.

A Year Of Learning: Educating The Philanthropic Community About Racialized And Stigmatized Nonprofits, Shariq Siddiqui, Rafeel Wasif, Abdul Samad

The Foundation Review

Islamophobia and a lack of legitimacy heavily impact Muslim-led nonprofits and limit their relationships with philanthropy in the United States, resulting in an anemic, continually underfunded sector. This article explores that disconnect within a discussion of the Year of Learning, a unique series of virtual workshops that brought together foundations and nonprofits serving the Muslim American community.

Among the barriers to more effective relationships that emerged from the workshops were the presence of Islamophobia within society at large and philanthropy in particular, a hesitance among U.S. foundations to fund faith-based work, and a lack of capacity among Muslim-led nonprofits. Also …

Full Issue Vol. 15 Issue 4

The Foundation Review

No abstract provided.

Influence Of Pavement Conditions On Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, Adam Gatiba

Mineta Transportation Institute

Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected and analyzed, focusing on CMV routes in DC. The analysis employs binary …

Exploring Traffic Speed Patterns For The Implementation Of Variable Speed Limit (Vsl) Signs, Panick Kalambay, Srinivas Pulugurtha

Mineta Transportation Institute

Traffic congestion is a prevalent issue during peak travel hours on roads in the United States. This study focuses on identifying suitable road links in Charlotte, North Carolina, for implementing variable speed limit (VSL) signs. Real-world traffic speed data collected over one year was analyzed to identify specific road links with favorable characteristics for VSL sign installations. The analysis considered weekdays, weekends, and specific times of the day to capture variations in speed patterns. The results revealed that roads with lower speed limits consistently experienced speeds exceeding the posted speed limits, suggesting additional enforcement or safety measures. For roads with …

Understanding The Effect Of Pervasive Events On Vehicle Travel Time Patterns, Chirag Akbari, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute

The COVID-19 pandemic has disrupted daily activities and travel patterns, affecting personal and commercial trips. This study investigates the effect of different stages of the pandemic on travel time patterns. Eighty-six geographically distributed links (sections of road) in Mecklenburg County and Buncombe County, North Carolina, were selected for analysis. The selected links accounted for the variation in road geometry, land use, and speed limit. Travel time data for three years (i.e., 2019, 2020, and 2021) were extracted from a private data source at 5-min intervals. Travel time reliability (TTR) and travel time variability (TTV) are estimated for different phases of …

Deep Learning, Machine Learning, Or Statistical Models For Weather-Related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, Srinivas S. Pulugurtha

Mineta Transportation Institute

Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered probit model (OPM) were evaluated as statistical models, while random forest (RF) and XGBoost …

Autonomous Shuttle Implementation And Best Practices, Dil Samina Diba, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute

When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would be an excellent supplement to public transportation. However, improvements to the vehicle and the infrastructure are needed before any permanent deployment. The study also analyzes the perceptions of practitioners, industry experts, and transportation system users toward autonomous shuttles. Principal Component Analysis (PCA) and Multiple Input Multiple Cause Structural Equation Modelling (SEM) approaches were …

Evaluating Benefits From Transportation Investments Aligned With The Climate Action Plan For Transportation Infrastructure (Capti), Serena Alexander, Shams Tanvir, T. William Lester

Mineta Transportation Institute

Building upon two executive orders targeting the mitigation of greenhouse gas (GHG) emissions in California, the Climate Action Plan for Transportation Infrastructure (CAPTI) offers a comprehensive plan to work toward a more unified vision for transportation that prioritizes climate, health, and social equity. The purpose of this project was to help evaluate the benefits from transportation investments across the State of California. With support from Caltrans, the research team provided a holistic evaluation framework that involved an analysis of vehicle miles traveled (VMT) and emissions impacts, an economic impact analysis, and an equity analysis of transportation investments in California. Findings …

The Importance Of Cism Responder Self-Care: Don't Neglect Engaging In Meaningful Activities, Harvey J. Burnett Jr, David Sherman

Faculty Publications

No abstract provided.

Assessing The Effectiveness Of A Chatbot Workshop As Experiential Teaching And Learning Tool To Engage Undergraduate Students, Kyong Jin Shim, Thomas Menkhoff, Ying Qian Teo, Clement Shi Qi Ong

Research Collection School Of Computing and Information Systems

In this paper, we empirically examine and assess the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students enrolled in an elective course “Doing Business with A.I.” in the Lee Kong Chian School of Business (LKCSB) at Singapore Management University. The chatbot workshop provides non-STEM students with an opportunity to acquire basic skills to build a chatbot prototype using the ‘Dialogflow’ program. The workshop and the experiential learning activity are designed to impart conversation and user-centric design know how and know why to students. A key didactical aspect which informs the design and flow …

The Value Of Official Website Information In The Credit Risk Evaluation Of Smes, Cuiqing Jiang, Chang Yin, Qian Tang, Zhao Wang

Research Collection School Of Computing and Information Systems

The official websites of small and medium-sized enterprises (SMEs) not only reflect the willingness of an enterprise to disclose information voluntarily, but also can provide information related to the enterprises’ historical operations and performance. This research investigates the value of official website information in the credit risk evaluation of SMEs. To study the effect of different kinds of website information on credit risk evaluation, we propose a framework to mine effective features from two kinds of information disclosed on the official website of a SME—design-based information and content-based information—in predicting its credit risk. We select the SMEs in the software …

Vision Paper: Advancing Of Ai Explainability For The Use Of Chatgpt In Government Agencies: Proposal Of A 4-Step Framework, Hui Shan Lee, Shankararaman, Venky, Eng Lieh Ouh

Research Collection School Of Computing and Information Systems

This paper explores ChatGPT’s potential in aiding government agencies, drawing from a case study based on a government agency in Singapore. While ChatGPT’s text generation abilities offer promise, it brings inherent challenges, including data opacity, potential misinformation, and occasional errors. These issues are especially critical in government decision-making.Public administration’s core values of transparency and accountability magnify these concerns. Ensuring AI alignment with these principles is imperative, given the potential repercussions on policy outcomes and citizen trust.AI explainability plays a central role in ChatGPT’s adoption within government agencies. To address these concerns, we propose strategies like prompt engineering, data governance, and …

How Prefixation, Onset Length, And Coda Length Determine Lexical Stress Assignment When Reading Aloud, Kayla Hensley

Arts & Sciences Graduate Student Theses and Dissertations

Lexical stress, or which syllable is emphasized in a multisyllabic word, can provide important cues for speech segmentation, lexical class, and reading acquisition. Despite this, much of the literature on reading has focused on single syllable words, neglecting the role that stress can play. In this project, I examine the role of prefixation, onset and coda length in assigning stress in disyllabic words when reading aloud. Study 1 is a corpus analysis of English words with grade level information to replicate the model developed by Treiman et al. 2020 and check for age differences. There were no significant differences on …

Between-Task Transfer Of Learned Control Settings: How Far Can It Go?, Merve Ileri Tayar

Arts & Sciences Graduate Student Theses and Dissertations

Learning-guided control refers to adjustments of cognitive control settings (i.e., relatively focused vs. relaxed) based on learned associations between predictive cues (e.g., stimulus features) and the likelihood of conflict. We investigated the transfer of learned control settings beyond the conditions under which they were learned to examine the flexibility and automaticity of these control settings. In Experiment 1, participants experienced an item-specific proportion congruence (ISPC) manipulation in a training phase in which target color in a Flanker task was biased (mostly congruent or mostly incongruent). Then, in a subsequent transfer phase, they performed a color-word Stroop task in which the …

Cerebellar Eeg Source Localization Reveals Age-Related Compensatory Activity Moderated By Genetic Risk For Alzheimer’S Disease, Elizabeth Paitel, Kristy A. Nielson

Psychology Faculty Research and Publications

The apolipoprotein-E (APOE) ε4 allele is the greatest genetic risk factor for late-onset Alzheimer's disease (AD), but alone it is not sufficiently predictive. Because neuropathological changes associated with AD begin decades before cognitive symptoms, neuroimaging of healthy, cognitively intact ε4 carriers (ε4+) may enable early characterization of patterns associated with risk for future decline. Research in the cerebral cortex highlights a period of compensatory recruitment in elders and ε4+, which serves to maintain cognitive functioning. Yet, AD-related changes may occur even earlier in the cerebellum. Advances in electroencephalography (EEG) source localization now allow effective modeling of cerebellar activity. Importantly, healthy …

Neuroimaging-Based Classification Of Ptsd Using Data-Driven Computational Approaches: A Multisite Big Data Study From The Enigma-Pgc Ptsd Consortium, Jacklynn M. Fitzgerald

Psychology Faculty Research and Publications

Background

Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group.

Methods

We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls …

The Family Strength Wheel: A Strength-Based Visual Tool For Families, Genese Clark

Journal of Extension

In 2017, data was collected from 59 African-Americans living in the northeastern United States to investigate the saliency of six family strength domains. The study results highlighted an emerging domain, Leadership, and led to the development of a visual family strength tool adapted from DeFrain's (2002) American Family Strength Inventory for family practitioners. With a supplemental worksheet, the Family Strength Wheel provides a self-rating scale illustrating baselines for strength-based family functioning while simultaneously showing benchmarks for improvement. The Family Strength Wheel offers immediate insight into individuals' perceptions of their family's functioning, opening areas for dialogue between family members and practitioners.

Maximizing Dietary Knowledge And Behavior Through A Teens As Teachers Approach, Anaderi Iniguez, Erica L. Doering, Elizabeth H. Weybright

Journal of Extension

The teens as teachers model is a promising approach to impact teen behavior. The current study evaluated dietary knowledge and behavior among teen teachers participating in a 4-H youth development program (N = 46; Mage = 15.5 years; 67% female; 48% Hispanic; 38% White Non-Hispanic, 14% Other). A paired sample t test was conducted on pre-and post-program surveys to identify significant improvements in dietary knowledge and behaviors. Findings suggest teens as teachers is generally effective in promoting healthy dietary knowledge and behavior. We recommend this approach be disseminated within Extension 4-H youth development healthy eating active living programming.

Who Do Farmers Trust? Identifying Farmer Support Systems During Times Of Stress And Suicide Risk, Anna M. Scheyett, Laura P. Johnson, Maria Bowie, Andrea Garcia

Journal of Extension

Farmers experience high stress and elevated suicide risk. Using surveys distributed at a regional agricultural exposition, our study identified those who are closest to farmers and trusted during times of high stress, and how to communicate stress-related information to farmers. We found farmers were most likely to trust spouses, other farmers, friends, and faith leaders and preferred information from other farmers, agricultural publications, social media, churches, and Extension offices. Farmers and non-farmers differed significantly in views on these questions. This work identifies potential partners for Extension programming on farmer stress, highlighting the importance of including farmers in program development/delivery.

“Yo Sí Soy Boricua, Pa’ Que Tú Lo Sepas”: A Decolonial And Intersectional Analysis Of Alexandria Ocasio-Cortez, Jocelin Monge

Electronic Theses, Projects, and Dissertations

Historically speaking, political representation in Congressional districts in the U.S. has been predominantly White and male. Alexandria Ocasio-Cortez (AOC) is an example of a type of new mestizaconsciousness (Anzaldúa, 1987) given she is the youngest Latina congresswoman ever been elected to serve New York’s 14th Congressional District. This study employs an intersectional analysis on AOC’s viral moments with ‘The Squad’, Puerto Rico, Vogue, and Met Gala. Through a theoretical lens composed of elements of intersectionality (Crenshaw, 1991) and mestiza consciousness (Anzaldúa, 1987), this study focuses on three significant recurrent themes found in AOC’s estilos de resistencia or sensibilities …

Classification Of Large Scale Fish Dataset By Deep Neural Networks, Priyanka Adapa

Electronic Theses, Projects, and Dissertations

The development of robust and efficient fish classification systems has become essential to preventing the rapid depletion of aquatic resources and building conservation strategies. A deep learning approach is proposed here for the automated classification of fish species from underwater images. The proposed methodology leverages state-of-the-art deep neural networks by applying the compact convolutional transformer (CCT) architecture, which is famous for faster training and lower computational cost. In CCT, data augmentation techniques are employed to enhance the variability of the training data, reducing overfitting and improving generalization. The preliminary outcomes of our proposed method demonstrate a promising accuracy level of …

A Phenomenological Investigation Of The Meaning Making Experiences Of Christian Women Who Had An Abortion, Anne E. Stocker

Dissertations

Whether or not a woman should have an abortion is a hotly debated topic, and little information is known about how women make sense of their abortion experiences. Even less is known about how women make sense of abortion experiences in the context of their religious or spiritual belief system. This qualitative study explores the phenomenon of how women who have had an abortion make meaning of their abortion experience in the context of their Christian identity. This phenomenon was explored via research questions related to a woman’s experience of having both an abortion history and a Christian identity, how …

Identifying Trauma Related Predictors Of Dissociation In Maltreated Youth, Amanda L. Mraz

UNLV Theses, Dissertations, Professional Papers, and Capstones

Maltreated youth who experience traumatic dissociation are at an increased risk for various psychopathological difficulties. Much is still unknown about the machinations behind experiences of dissociation post-trauma. This study aimed to identify variables that place maltreated youth at risk for experiencing traumatic dissociation (e.g., dissociative amnesia, absorption and imaginative involvement, passive influence, depersonalization and derealization, and total adolescent dissociative experiences symptoms (A-DES)). Investigatory variables included demographic (e.g., age, gender, and racial identity), cognitive (e.g., resiliency and posttraumatic cognitions), and psychological (e.g., posttraumatic stress disorder symptoms (PTSD) and anxiety) factors. Classification and regression tree (CART) analysis was utilized to observe the …