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A Framework For Evaluating Riparian Climate Refugia In The Eel River Watershed, California, Farrah Tyler Jan 2026

A Framework For Evaluating Riparian Climate Refugia In The Eel River Watershed, California, Farrah Tyler

Cal Poly Humboldt theses and projects

Climate change is increasing the need to identify and protect landscapes that support biodiversity through both habitat connectivity and climate refugia. Climate refugia are areas that remain relatively buffered from regional climatic change, enabling species to persist despite shifting environmental conditions. Riparian ecosystems can function as both movement corridors and climate refugia, yet methods for identifying these features and understanding the environmental processes that sustain them remain limited. In California's North Coast region, the identification and conservation of watersheds that may serve as climate refugia for sensitive plant and animal species will be essential for long-term ecosystem management and conservation. …

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Assessing The Ecological Drivers Of Wildfire Hazard Mitigation Of Fuels In The California Home Ignition Zone, Christopher David Benterou Jan 2026

Assessing The Ecological Drivers Of Wildfire Hazard Mitigation Of Fuels In The California Home Ignition Zone, Christopher David Benterou

Master's Theses

Consecutive years of devastating home losses to wildfire indicate the need for home fuel reduction and construction improvements. Existing research correlates house survival with modifications to the home ignition zone (HIZ) and is required in high fire hazard areas of California (CA). Mitigations, designed to disrupt continuous fuel patterns, (e.g., separating surface and canopy fuels), can also introduce ecological changes that can alter overall code compliance. Previous compliance studies used respondent and agency-generated data, which may lack accuracy. Assessing additional house and ecological features (e.g., canopy cover and construction) would improve prediction of compliance, but these relationships are poorly studied. …

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The Operation And Control Strategy Of Microgrids: A Brief Review, Mohammad Alam, Salsabila Zaman Jan 2026

The Operation And Control Strategy Of Microgrids: A Brief Review, Mohammad Alam, Salsabila Zaman

Electrical Engineering Student Publications

A microgrid is an effective approach for integrating various distributed energy resources to meet local energy demand. It possesses the capability to operate independently or in conjunction with the main utility grid. Typically, a microgrid is a small-scale power system (usually several megawatts or less) comprising three primary components: the ability to function in both grid-connected and islanded modes, distributed power generation sources, and autonomous control centers. Microgrids enhance system resilience by ensuring uninterrupted operation during grid disturbances. Additionally, they are environmentally sustainable and contribute to improved power quality. As a crucial element of modern power systems, microgrids can effectively …

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Don’T Give The Fae Your Name: Focus Of Attention And Victim Blaming, Entropy Cramer Jan 2026

Don’T Give The Fae Your Name: Focus Of Attention And Victim Blaming, Entropy Cramer

Murray State Theses and Dissertations

Victim-blaming is thought to be a result of the fundamental attributional error, where people over-emphasize internal attributions about the victim. Despite this, there is little literature on manipulating the focus of attention and the result for victim-blaming. People who are high in rape myth acceptance tend to visually focus on the victims longer (Süssenbach et al., 2015). Rempala and Bernieri (2005) found that adding irrelevant information, such as height and weight, to the trial about the victim increased victim-blaming compared to when it was absent. The current study investigated if relevant information about the victim and perpetrator changed the amount …

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Exploring Resiliency, Identity, And Access: Educational Narratives Of Adults Who Experienced Youth Homelessness, Taylor Mestres Jan 2026

Exploring Resiliency, Identity, And Access: Educational Narratives Of Adults Who Experienced Youth Homelessness, Taylor Mestres

University of the Pacific Theses and Dissertations

This study explored the educational experiences of adults who experienced homelessness during their youth, focusing on how instability, stigma, and resilience shaped their K-12 schooling. Guided by Maslow's hierarchy of needs and resiliency theory, the research employed a narrative inquiry approach with seven adult collaborators who reflected on their schooling while experiencing housing instability. Seven themes emerged: living between places, school as sanctuary, concealment and stigma, resilience and survival, the role of educators and support systems, thriving despite adversity, and retrospective recognition. Findings reveal that while housing instability and shame created significant barriers to learning and belonging, schools also functioned …

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Toward A Transformative Church: The Role Of Elders In Church Growth In The Seventh-Day Adventist Church, Brian Kwalela Mungandi Jan 2026

Toward A Transformative Church: The Role Of Elders In Church Growth In The Seventh-Day Adventist Church, Brian Kwalela Mungandi

All Electronic Theses and Dissertations

This study addressed the need for a transformational leadership strategy that engages elders in membership retention and church growth for a Seventh-day Adventist Church. This mixed-method study aimed to identify factors contributing to declining membership in the Seventh-day Adventist Church, with the goal of informing strategies for improved member retention and potential church growth. A survey involving 30 active members was administered to gather insights into the target church’s profile. Additionally, interviews were conducted with 18 elders across four churches to evaluate leadership perspectives concerning membership retention and church growth. These data sources offered a snapshot of the target church's …

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Temporal Analysis Of Supraglacial Drainage Systems On The Greenland Ice Sheet From 2009-2017 Using Very High-Resolution Satellite Imagery, Field Measurements, And Climate Models, Natalie Gallegos Nunez Jan 2026

Temporal Analysis Of Supraglacial Drainage Systems On The Greenland Ice Sheet From 2009-2017 Using Very High-Resolution Satellite Imagery, Field Measurements, And Climate Models, Natalie Gallegos Nunez

Dissertations and Theses @ UNI

Anthropogenic disturbance and global warming are enhancing the influx of freshwater into the oceans from melting glaciers and ice sheets. The Greenland Ice Sheet (GrIS) has experienced accelerated surface melt which is expected to reduce North Atlantic Deep Water (NADW) formation and Atlantic thermohaline circulation. More than half of the GrIS total mass loss is due to meltwater runoff produced on the surface by supraglacial lakes, streams, and rivers. The goal of this study is to monitor changes in supraglacial drainage systems developed in the Southwest region on the GrIS for the 2009-2017 melt seasons and to map the impact …

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2023-28 Strategic Plan: Building Our Tomorrow [January 2026 Progress Report], University Of Northern Iowa Jan 2026

2023-28 Strategic Plan: Building Our Tomorrow [January 2026 Progress Report], University Of Northern Iowa

Institutional Effectiveness & Planning Documents

A report including examples of progress on the strategic goals within the University of Northern Iowa's 2023-28 strategic plan as of January 2026.

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Uncharted Waters: Barriers To Ocean Carbon Removal In The High Seas Under Unclos And The Bbnj, Connor Stevens Jan 2026

Uncharted Waters: Barriers To Ocean Carbon Removal In The High Seas Under Unclos And The Bbnj, Connor Stevens

Vanderbilt Journal of Transnational Law

No abstract provided.

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Front Matter - Table Of Contents - Preface Jan 2026

Front Matter - Table Of Contents - Preface

Iowa Journal of Communication

No abstract provided.

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"That's Just Not Who I Am": Rejection Of The Good Mother Ideology And Other Tools Used By Homeschool Moms To Navigate Motherhood, Gina S. Reynolds Jan 2026

"That's Just Not Who I Am": Rejection Of The Good Mother Ideology And Other Tools Used By Homeschool Moms To Navigate Motherhood, Gina S. Reynolds

Iowa Journal of Communication

Studying mothers often focuses on the mother-child dynamic rather than the mother as a person. Mother types, such as working mothers, often are singled out for study. One mother that is rarely considered is the homeschool mother. In homeschooling, the mother typically takes the active role in educating the children, and she receives little attention as a person (Lois, 2016). This study examines how these mother/teachers navigate their motherhood. Nine online discussions with 26 homeschooling mothers revealed strong connections to self-efficacy and agency. Agency and self-efficacy contributed to the mother’s ability to navigate and manage the tension between her needs …

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Understanding Dementia Challenges In Rural Ghana: A Systematic Review, Diana Maame Agyeiwaa Agyei, Sesi Sedegah, Abena Abokoma Asemanyi, Theresa Ayertey, Wendy Yeboah Jan 2026

Understanding Dementia Challenges In Rural Ghana: A Systematic Review, Diana Maame Agyeiwaa Agyei, Sesi Sedegah, Abena Abokoma Asemanyi, Theresa Ayertey, Wendy Yeboah

Iowa Journal of Communication

Dementia poses an escalating public health challenge in Ghana due to an expanding aging population, yet rural awareness remains critically low. Guided by Mohan Dutta’s Culture-Centered Approach (CCA), this PRISMA-compliant qualitative systematic review synthesized ten peer-reviewed articles to examine cultural perceptions and lived experiences surrounding dementia in rural Ghana. The findings highlight that cognitive decline is widely misattributed to witchcraft or normalized as standard aging. Witchcraft misconceptions subject individuals—especially older women—to severe stigmatization, social exclusion, physical abuse, and banishment to "witch camps". Meanwhile, normalizing symptoms as ordinary aging delays critical medical care and shifts family decision-making away from patients. Furthermore, …

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A Comprehensive Overview Of Neurophysiological Correlates Of Cognitive Impairment In Amyotrophic Lateral Sclerosis, Seyyed Bahram Borgheai, Brie E. Achorn, Alyssa H. Zisk, Sarah M. Hosni, Karl E. G. Richter, Frank S. Menniti, Yalda Shahriari Jan 2026

A Comprehensive Overview Of Neurophysiological Correlates Of Cognitive Impairment In Amyotrophic Lateral Sclerosis, Seyyed Bahram Borgheai, Brie E. Achorn, Alyssa H. Zisk, Sarah M. Hosni, Karl E. G. Richter, Frank S. Menniti, Yalda Shahriari

Computer Science Faculty Publications

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that leads to the gradual loss of motor control, typically resulting in paralysis and death within 3 to 5 years of diagnosis. ALS shares neuropathological and genetic associations with fronto-temporal dementia (FTD), a neurodegenerative condition primarily impacting cognitive functions. These two conditions are increasingly viewed as manifestations of a single molecular disease process that affects distinct brain systems, impacting motor neuronal pathways in ALS and fronto-cortical functions in FTD. However, this simple dichotomy belies the complexity of these conditions. In particular, patients with primary motor ALS can also experience significant cognitive …

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Examining Inclusive Computing Education For Blind Students In India, Akshay Kolgar Nayak, Yash Prakash, Md Javedul Ferdous, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok Jan 2026

Examining Inclusive Computing Education For Blind Students In India, Akshay Kolgar Nayak, Yash Prakash, Md Javedul Ferdous, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

The growing demand for computer professionals, driven by the expanding Information Technology industry, has led to numerous inclusive computing education efforts. These efforts have even included blind or visually-impaired (BVI) students, who are being increasingly encouraged to pursue education and a career in computing, despite the visually-oriented nature of the discipline. Extant literature has predominantly focused on identifying and addressing the accessibility barriers faced by BVI students to promote more inclusive learning environments. While few studies have also investigated the accessibility of computing education from the perspectives of BVI learners and instructors, these have been primarily situated in the Global …

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An Explainable Transformer Framework For Sentiment Analysis In Aviation Workforce Data, Sovon Chakraborty, Protiva Das, Fahmid Al Farid, Fuyad Hasan Bhoyan, Farig Yousuf Sadeque, Jia Uddin, Hezerul Abdul Karim Jan 2026

An Explainable Transformer Framework For Sentiment Analysis In Aviation Workforce Data, Sovon Chakraborty, Protiva Das, Fahmid Al Farid, Fuyad Hasan Bhoyan, Farig Yousuf Sadeque, Jia Uddin, Hezerul Abdul Karim

Computer Science Faculty Publications

Aviation is one of the predominant sectors that contribute significantly to the global economy. With the advent of technology, this industry is witnessing a paradigm shift towards data-driven approaches. The morale of the airline employees is barely noticed, which causes fatigue and depression. Furthermore, these mental health issues can be active reasons for destructive accidents. In this research, the authors are focused on collecting insightful information on aviation employees from Glassdoor.com. Moreover, the authors focus on analyzing the sentiments of the employees of renowned aviation companies. Primarily, the authors scraped necessary data from Glassdoor.com and created a dataset named JetJobJoy …

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Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol Jan 2026

Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol

Computer Science Faculty Publications

Large Language Models (LLMs) are becoming critical infrastructure in scientific, healthcare, and governmental contexts. As frontier AI laboratories increasingly partner with government agencies, a fundamental question arises: Who should control the safety and policy-enforcement layers that constrain model behavior? Current safety mechanisms (LLM guardrails) are typically designed for generic "harmlessness" and operate by detecting semantic patterns and refusing requests. However, they are inadequate governance instruments because they cannot implement auditable, domain-specific controls tied to external regulatory policy objects (e.g., control lists or rules governing personally identifying information). Even a perfectly aligned model is not able to express institution-specific policy without …

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Finding The Signal In The Noise: An Exploratory Study On Assessing The Effectiveness Of Ai And Accessibility Forums For Blind Users' Support Needs, Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok Jan 2026

Finding The Signal In The Noise: An Exploratory Study On Assessing The Effectiveness Of Ai And Accessibility Forums For Blind Users' Support Needs, Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok

Computer Science Faculty Publications

Accessibility forums and, more recently, generative AI tools have become vital resources for blind users seeking solutions to computer-interaction issues and learning about new assistive technologies, screen reader features, tutorials, and software updates. Understanding user experiences with these resources is essential for identifying and addressing persistent support gaps. Towards this, we interviewed 14 blind users who regularly engage with forums and GenAI tools. Findings revealed that forums often overwhelm users with multiple overlapping topics, redundant or irrelevant content, and fragmented responses that must be mentally pieced together, increasing cognitive load. GenAI tools, while offering more direct assistance, introduce new barriers …

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Guidelines For Automatic Grading Of Student Essays Using Large Language Models, Diwakar Yalpi, Sruta Keerti Kasula, Ravi Mukkamala Jan 2026

Guidelines For Automatic Grading Of Student Essays Using Large Language Models, Diwakar Yalpi, Sruta Keerti Kasula, Ravi Mukkamala

Computer Science Faculty Publications

Automated essay evaluation using large language models (LLMs) has emerged as a promising approach to support scalable and consistent educational assessment. However, the effectiveness of LLM-based grading varies significantly across evaluation dimensions and is highly influenced by prompt design and model selection. In this study, we evaluate five state-of-the-art LLMs across five rubric-based categories: Relevance to Question, Reasoning and Critical Thinking, Evidence and Examples, Organization, and Clarity and Writing Quality. We systematically investigate the impact of three prompting strategies, including rubric-only prompting, exemplar-based prompting (with and without rubric guidance)(Original and Refined prompt designs) incorporating structured instructions. Additionally, a prompt ablation …

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Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu Jan 2026

Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu

Computer Science Faculty Publications

Reproducibility and replicability (R&R) are structural properties of scientific knowledge, yet existing R&R evidence remains fragmented across domains and initiatives. We present an ongoing effort to develop a centralized, cross-domain database of R&R studies that links published works to their corresponding R&R attempts and supporting assessments. Bibliographic metadata and title-based matching through scholarly indexing services identify canonical records and persistent identifiers. A heuristic, uncertainty-aware matching algorithm supports intra-source and inter-source deduplication, complemented by manual review of ambiguous cases. A unified schema accommodates heterogeneous assessment frameworks and records original studies, R&R studies, assessments, aggregated summaries, and source provenance. The database currently …

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A Survey On Generative Ai For Detector Effects Unfolding In Particle And Nuclear Physics, Tareq Alghamdi, Tommaso Vittorini, Jitao Xu, Marco Battaglieri, Derek I. Glazier, Glòria Montaña, Giorgio Foti, Alessandro Pilloni, Nobuo Sato, Yaohang Li Jan 2026

A Survey On Generative Ai For Detector Effects Unfolding In Particle And Nuclear Physics, Tareq Alghamdi, Tommaso Vittorini, Jitao Xu, Marco Battaglieri, Derek I. Glazier, Glòria Montaña, Giorgio Foti, Alessandro Pilloni, Nobuo Sato, Yaohang Li

Computer Science Faculty Publications

In particle and nuclear physics, “detector effects unfolding” can be viewed as a highdimensional inverse problem whose goal is to recover the true event distributions from observed experimental data corrupted by detector-induced distortions. Recent advances in generative AI have positioned data-driven and machine learning-based approaches as powerful alternatives to traditional unfolding techniques, offering superior scalability to high-dimensional data, capability of learning complex detector responses, and the ability to operate directly at the event level. We survey state-of the-art generative AI-based models for detector folding and unfolding. We review existing architectures and training strategies, and highlight recent methodological advances and open …

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Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang Jan 2026

Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang

Computer Science Faculty Publications

The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …

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The Effectiveness Of Training On The Use Of Project-Based Learning Methods In Developing The Teaching Skills Of Middle School Science Teachers, Essa Dakheel Alrehaly Jan 2026

The Effectiveness Of Training On The Use Of Project-Based Learning Methods In Developing The Teaching Skills Of Middle School Science Teachers, Essa Dakheel Alrehaly

University of Tabuk Journal for Humanities and Social Sciences

The current research aimed to measure the effectiveness of training on using project-based learning methods in developing teaching skills among intermediate science teachers. To verify the research hypotheses, a cognitive test and an observation card were used. The experimental treatment materials included the training program in light of project-based learning methods to develop teaching skills among intermediate science teachers. The current research used the experimental method with a quasi-experimental design based on a single-group design with a pre-post application to determine the effect of an independent variable on a dependent variable. The research sample consisted of an experimental group of …

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Exploit Machina, Andrea Matwyshyn Jan 2026

Exploit Machina, Andrea Matwyshyn

Faculty Scholarship

Over half a century ago, Hannah Arendt cautioned us to “think what we are doing” when we build new technologies. Engaging with her counsel and a set of historical case studies, this Article frames what it calls exploit machina problems. Exploit machina refers to situations where broken technologies and broken governance combine to irreparably harm the public. In other words, exploit machina involves organizational choices to knowingly leverage technology as part of legally problematic conduct, including various forms of fraud. In the language of data science, exploit machina situations implicate strategic decisions in building and managing artificial intelligence (AI); they …

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Neuro-Advocacy: Harmonizing Persuasion With The Operation Of The Brain, Gary Gildin Jan 2026

Neuro-Advocacy: Harmonizing Persuasion With The Operation Of The Brain, Gary Gildin

Faculty Scholarship

The most significant contemporary advances in effective courtroom advocacy will emerge from what on the surface is an unlikely source: neuroscience. Revolutionary advances in technology for the first time allow us to see how the human brain makes decisions. The findings are wholly inconsistent with how the trial process presupposes the finder of fact will perceive and use information delivered by lawyers and witnesses. Consequently, lawyers seeking to persuade jurors (and judges) must reframe their advocacy to align with what we have learned about how the minds of these decision-makers will receive testimony and argument and use these inputs to …

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Final Annual Operations And Maintenance (O&M) Report: Butte Treatment Lagoon (Btl) System – 2023, Pioneer Technical Services, Inc. Jan 2026

Final Annual Operations And Maintenance (O&M) Report: Butte Treatment Lagoon (Btl) System – 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Application Paths Of Semantic Modeling In Financial Fraud Detection And Risk Identification, Victor P. Gauthier, Daniel S. Wu Jan 2026

Application Paths Of Semantic Modeling In Financial Fraud Detection And Risk Identification, Victor P. Gauthier, Daniel S. Wu

Computer Science Faculty Publications

Financial fraud and risk pose significant threats to economic stability and individual well-being. Traditional detection methods often struggle to keep pace with increasingly sophisticated fraudulent schemes. Semantic modeling, which focuses on understanding the meaning and relationships within data, offers a promising avenue for enhancing fraud detection and risk identification. This review paper explores the application paths of semantic modeling in this domain. We begin with a historical overview of fraud detection techniques, highlighting the limitations of traditional approaches. Subsequently, we delve into core themes, including knowledge graph-based fraud detection and semantic rule-based inference for risk assessment. We then compare and …

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Susceptibility To High-Fidelity Misinformation: An Eye-Tracking Analysis, Yasasi Abeysinghe, Gavindya Jayawardena, Enkelejda Kasneci, Sampath Jayarathna Jan 2026

Susceptibility To High-Fidelity Misinformation: An Eye-Tracking Analysis, Yasasi Abeysinghe, Gavindya Jayawardena, Enkelejda Kasneci, Sampath Jayarathna

Computer Science Faculty Publications

With the rise of online misinformation and AI-generated text, understanding human perception of news truthfulness is critical. In this study, we examine visual attention and cognitive processing using eye-tracking measures as individuals read fake and real news articles sharing nearly identical structure and imagery, differing only in subtle textual changes. Using the public FakeNewsPerception dataset, we analyze advanced gaze measures, including scanpaths, AOI transitions, and luminance-corrected pupil measures, beyond basic gaze features, in relation to news truthfulness and perceived believability. Results show that, given the high fidelity of the fake news, readers exhibited comparable visual scanning patterns, attention allocation across …

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Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh Jan 2026

Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug combination therapy in disease management gained popularity in the last few decades. Computational modeling of such combinations is an active area of research in the drug discovery domain. While earlier approaches solely emphasized on the structural features of participating drugs for designing synergistic models, they lack other crucial factors directly linked with drug administration - omics expressions. As differential omics expression is a downstream consequence of the administered drug combinations, utilizing such expressions while designing synergistic models promises robust and dynamic modeling. In this work, we propose SynergyLM that fuses multi-omics features with drug embeddings to build an omics-aware …

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Environmental Pesticide Exposure In The Etiology Of Pediatric Brain Tumors And Leukemia: A Scoping Review Of Epidemiological Studies, G. N. Vandesteeg, A. R. Russman, M. R. Sandbulte, E. G. Rogan, M. G. Rhodes Jan 2026

Environmental Pesticide Exposure In The Etiology Of Pediatric Brain Tumors And Leukemia: A Scoping Review Of Epidemiological Studies, G. N. Vandesteeg, A. R. Russman, M. R. Sandbulte, E. G. Rogan, M. G. Rhodes

School of Natural Resources: Faculty Publications

No abstract provided.

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Dynamic Social Impact Theory And The Consolidation And Dispersal Of Clusters In Squid Game: The Challenge, Adrienne Darrah, Robert J. Darrah Jan 2026

Dynamic Social Impact Theory And The Consolidation And Dispersal Of Clusters In Squid Game: The Challenge, Adrienne Darrah, Robert J. Darrah

Iowa Journal of Communication

This study utilizes a dynamic social impact theory (DSIT) framework to analyze human influence on the popular Netflix television series Squid Game: The Challenge. A British reality competition, Squid Game: The Challenge is comprised of ten-episodes and features 456 contestants vying for $4.56 million. As contestants self-organize into social alliances, their shared attitudes, beliefs, and values transform the physical space into a dynamic social space. The creation of clusters through these alliances, the correlation between contestant attitudes and behaviors, and the consolidation of contestant attitudes and behaviors reflective of alliance needs is reinforced by the physical proximity of contestants, the …

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