Digital Commons Network^™

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Inkwell Edition, Georgia Southern University

The Inkwell

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Inkwell Edition, Georgia Southern University

The Inkwell

No abstract provided.

Steven Universe & The Phenomenon Of Family, Jabari J. Whipple

GS4 Student Scholars Symposium

This research analyzes Steven Universe, a modern animated television series created by Rebecca Sugar, through a sociological lens to explore how contemporary media redefines the concept of family. The study examines how nontraditional caregiving structures and emotionally based kinship challenge the boundaries of the nuclear family model. Using the theoretical frameworks of symbolic interactionism and feminist theory, this paper interprets family as a social construction formed through love, care, and shared experience rather than biology alone. A purposive sample of fifteen episodes across seasons one, three, and five was analyzed for depictions of caregiving, gender roles, and emotional labor. Findings …

Navigating Hunger And Academic Success: College Students’ Experiences With Food Insecurity And Campus Food Pantries, Casey Weaver

GS4 Student Scholars Symposium

Food insecurity is a growing issue faced by many college students, and there is an increasing call for more qualitative research examining food insecurity on college campuses. It may be posited that students who experience food insecurity but have access to resources are more likely to succeed academically than those without access to such resources. This research examined how the resources provided to college students experiencing food insecurity influenced their academic success at a university in the United States. This study explored the experience of four students who identified as food insecure and utilized campus resources to address this issue. …

Assessing Decision Making Under Risk And Dynamic Task Environments In Humans, Dylan J. Cato

GS4 Student Scholars Symposium

This research evaluates the theoretical foundations of recent embodied and enacted decision- making models(Baker., et al  2022) , specifically investigating whether "urgency" serves as a domain-general mechanism for reward-rate maximization. Across three experiments using a reward-performance contingency, we compare traditional decision-making frameworks with urgency-based theories to determine how participants navigate task demands and whether optimality assumptions hold (Reynaud, et al 2020). A primary focus involves testing whether motor excitability increases directly with evidence, or if "higher-level" deliberation occurs in parallel with se Using the Generalized Drift-Diffusion Model (GDDM) framework via PyDDM  (Shinn, et al 2020), we will …

Modeling Social Media Mob Dynamics Using A Hybrid Scvir System With Time-Varying Parameters And Recurrent Neural Networks, Noushin Gauhar

GS4 Student Scholars Symposium

In this work, we develop a discrete-time susceptible-counter-infected-vaccinated-recovered (SCIVR) epidemiological framework to model the spread of mob-like information on social media. The model captures the interaction between susceptible neutral attention, infected mob-spreading narratives, counter or corrective discourse, low-visibility (vaccinated) content, and collective disengagement. COVID-19 twitter data were transformed into daily compartmental aggregates using sentiment polarity and retweet-based visibility thresholds, facilitating high-resolution modeling of information diffusion processes. The dataset comprises globally collected tweets between April and June 2021, filtered using keywords including “COVID19”, “coronavirus”, “quarantine”, “socialdistancing”, “staysafe”, “stayhome” and “lockdown”. Qualitative analysis of the SCIVR system includes derivation of the mob-free …

Optimal Control Analysis Of Mob Dynamics Using Generation Z Youtube Channel Behavior, Tahidu Alhassan

GS4 Student Scholars Symposium

Digital media communication technologies have changed how people organize and act together. During the Generation Z event, social media platforms (e.g., X, YouTube, Facebook) played a major role in spreading information and mobilizing collective actions online and offline. In this work, we modified a mathematical dynamic model of the social media mob using an optimal control technique to adjust the rate of spread in response to social interactions. We examined the susceptible-quarantined-counter-infective-recovered (SQCIR) epidemiology model on a YouTube dataset covering Gen-Z data spread in Nepal from 8 to 13 September 2025. Using high-temporal-resolution real-world social media data will help to …

Coupling Deep Learning With Time-Dependent Scir Model For Predicting Social Media Mob Behaviors, Bismark Ampaw Offei

GS4 Student Scholars Symposium

In this study, we modified an epidemiological model of social media mob using deep learning methods to investigate information transmission using COVID-19 Twitter data from April to June 2021. Data collection was done using keywords, such as “covid 19”, “vaccine”, “lockdown”, and “quarantine” to simulate activity trends during the pandemic. In this work, we combine deep learning methods, including LSTMs and GRUs, with the susceptible-counter-infective-recovered (SCIR) model to forecast time-dependent parameters. Primary qualitative analyses, including the social media mob free equilibrium (MFE) point, the endemic equilibrium point, and the basic reproduction number ℜ₀, were performed. Our analysis shows …

Leveraging Agentic And Generative Ai For Intelligent Global Market Analysis, Anichur Rahman, Airin Afroj Aishi, Md Shohel Rana

GS4 Student Scholars Symposium

Global financial markets produce enormous amounts of structured and unstructured data on a per-second basis. The data is comprised of economic data, news feeds, social media data, and geopolitical data. Traditional approaches to financial market analysis have difficulties integrating these data sources and adapting to the changing global environment. This project aims to create a novel framework for autonomous financial market intelligence using Agentic AI and Generative AI technologies. Agentic AI is an emerging technology that allows for the creation of autonomous decision-making agents. The agents can be programmed to continuously monitor and analyze data sources, detect emerging trends, and …

Bringing Worlds Together: How Social Studies Teachers Make Content Meaningful, Harley A. Payne

GS4 Student Scholars Symposium

Secondary educators in social studies classes face the challenge of maintaining the attention of twenty to thirty students while they instruct them about content that often seems irrelevant or unimportant. These educators know, however, that the material these students are disinterested in is useful and crucial for developing adolescents who are learning to interact with the world. Research suggests that bridging the gap between the classroom and the real world has been linked to greater classroom engagement (Cooper 2014, Tagliaferro, 2012). Students who are engaged and exert more effort in class derive academic benefits, such as placement in advanced pathways …

2026 Conference Program, Georgia Southern University

GS4 Student Scholars Symposium

Conference Program

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

2026 Conference Program, Georgia Southern University

GS4 Student Scholars Symposium

Conference Program

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Inkwell Edition, Georgia Southern University

The Inkwell

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Messages From The Provost, Georgia Southern University

Messages from the Provost

• Message from the Provost
• Where Care Meets Impact
• Where Students Lead
• Where Innovation Takes Flight

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.