OSCAR Celebration of Student Scholarship and Impact
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Making and Creating Undergraduate Research Scholars Program (URSP) - OSCAR

Tuning the Photoelectrochemical Properties of ReS₂ via van der Waals Heterostructures

Author(s): Linke Xu

Mentor(s): Yun Yu, chemistry and biochemistry department

Abstract

Rhenium disulfide (ReS₂) is a unique Transition Metal Dichalcogenide (TMD) known for its structural asymmetry, which dictates an intrinsic optical and electronic anisotropy. We investigated the influence of doping environment on this anisotropy. While intrinsic ReS₂ exhibits ideal anisotropic behavior, we found that p-type doping causes the angle-dependent properties to vanish. By engineering a van der Waals heterostructure and utilizing charge transfer doping from an ITO substrate, we successfully controlled and restored the material’s anisotropy. Our results demonstrate that the mechanism of photoelectrochemical response in ReS₂ is fundamentally coupled to the Fermi level position, allowing for rational design of specific-use optoelectronic devices.

Audio Transcript

Hello everyone, my name is Linke Xu, and today I am presenting my project,
“Tuning the Photoelectrochemical Properties of ReS₂ via van der Waals Heterostructures.” This work was completed in the Chemistry and Biochemistry Department at George Mason University.
ReS₂ is a fascinating two-dimensional material because its distorted lattice creates strong in-plane anisotropy—meaning its photoresponse depends on the angle of incoming light.
When I began this project, my goal was to explore whether light polarization could be used to influence photoelectrochemical reactions on ReS₂, especially hydrogen evolution. 53However, very early in the process we observed something surprising: the anisotropy did not behave consistently. Instead, it changed depending on the doping environment of the material.
This unexpected behavior prompted us to investigate a more fundamental question: What actually determines anisotropy in ReS₂—its crystal structure, or the electronic occupation of its band-edge states?
Based on these early observations, we hypothesized that anisotropy requires electrons in the Re d-orbital band-edge states. If the material become mes p-doped and those states are empty, the directional response should disappear. But if we raise the Fermi level again through charge-transfer doping, anisotropy should return.
1.56To test this idea, we exfoliated ReS₂ nanosheets onto two different types of substrates. Placing the flake directly on ITO induces n-doping, while transferring it onto a graphene/hBN stack isolates the flake and makes it p-type.
We then measured photoelectrochemical current and used scanning electrochemical cell microscopy, or SECCM under polarized illumination to map photocurrent anisotropy with spatial resolution.
Our results revealed a clear and consistent trend.
2.43First, when ReS₂ was n-doped on ITO, we observed strong anisotropy. Both the absorption and photocurrent showed the expected sinusoidal angle dependence, confirming that directional excitation was present.
3.01Second, when the same flake was placed onto the graphene/hBN heterostructure and became p-doped, the anisotropy almost completely disappeared. The photocurrent became nearly circular, indicating that the response no longer depended on angle.
3.22Finally, when we returned the flake to ITO, charge-transfer doping raised the Fermi level again—and the anisotropy reappeared.
3.34Because the crystal structure never changed, this reversible switching demonstrates that anisotropy is controlled electronically rather than purely structurally.
Overall, our findings show that the anisotropy of ReS₂ is not a fixed property of its lattice. Instead, it depends on whether the directional Re d-orbital band-edge states are occupied. By adjusting the doping environment, we can effectively turn anisotropy on and off, offering a simple and powerful strategy for designing polarization-dependent optoelectronic and photoelectrochemical systems.
4.25I would like to thank the OSCAR Undergraduate Research Scholars Program, my mentor Dr. Yu, my research partner Anna, and all members of our lab for their support throughout this project.
Thank you for listening.

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OSCAR Undergraduate Research Scholars Program (URSP) - OSCAR US, Global, and Beyond Winners

SPATIAL DYNAMICS OF LOCAL NEWS: MAPPING CITY CO-MENTIONS IN ALABAMA​

Author(s): Tugce Burcu Gundogdu

Mentor(s): Myeong Lee, IST

Abstract

This study analyzes 31,004 Alabama news articles (2012–2024) to examine how cities are connected through co-mentions. Using a large language model, we extracted geographic references to build networks capturing spatial and symbolic ties. We developed a relationship typology to interpret these links. Preliminary results show that news categories shape distinct spatial patterns, offering insight into how media narratives influence regional identity and reveal the relational dimensions of news deserts.

Audio Transcript

1
00:00:07.560 –> 00:00:22.750
Tugce: Hi, everyone! My name is Tugce, I’m a third-year computer science student at George Mason, and my project, Spatial Dynamics of Local News, Mapping City Co-Mentions in Alabama, is about how local news connects cities in Alabama.

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00:00:22.880 –> 00:00:45.090
Tugce: So, when we talk about news deserts, which is a term in information science that mentions… that describes places that don’t get enough local news coverage, or don’t have enough news outlets to cover their local news, we mostly focus on places that don’t get covered. But something we notice is that news doesn’t just talk about places, it also links them together.

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00:00:45.340 –> 00:00:57.109
Tugce: For example, two cities might get mentioned in the same story because they share an event, a crime pattern, a rivalry, or a regional issue. These links tell us a lot about how local identity is shaped.

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00:00:57.280 –> 00:01:01.840
Tugce: And they reveal a lot of information about a region’s new geography.

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00:01:02.730 –> 00:01:21.400
Tugce: So, what we did is, we took about 31,000 Alabama news articles, ranging from 2012 to 2024, and we used an LLM to plot all the place names, and then built a co-mention network, which is kind of like a map of which cities appear together in stories.

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00:01:22.950 –> 00:01:30.849
Tugce: We found 79,000 place mentions, 351 Alabama cities, and about 17,000 city pairings.

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00:01:30.950 –> 00:01:38.430
Tugce: Then we looked at how often each pair of cities co-appears. This gives us an idea of the region’s news geography.

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Tugce: So, a few interesting patterns that I like to point out is Tuscaloosa was the main news hub overall, which makes sense because our news outlet is based there. And…

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00:01:52.140 –> 00:02:09.830
Tugce: We see that Tuscaloosa is the city that gets mentioned together with a lot of other cities in news. And Birmingham becomes the center of crime-related news. So, in crime-related news, the other cities mostly get mentioned together with Birmingham.

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00:02:10.000 –> 00:02:14.360
Tugce: And Montgomery becomes the center of political and economic coverage.

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00:02:14.510 –> 00:02:34.510
Tugce: And, not surprisingly, Auburn and Tuscaloosa are super connected in sports stories because of their history of ongoing rivalry. So, what does this all mean? So, when we look at these connections between these cities and how much they appear together in news, we get a story and an idea and a

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00:02:34.900 –> 00:02:49.240
Tugce: local identity appears about these regions. But when news desserts happen, they aren’t just about where coverage is missing, but also where relationships are missing, because we can’t see these stories.

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00:02:49.310 –> 00:02:59.169
Tugce: So, some cities don’t just get less coverage, they rarely get linked to other places, which adds another layer of isolation for the news deserts.

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00:03:32.300 –> 00:03:43.679
Tugce: So, thank you all for listening to my project. I would like to thank my mentors and professors for their invaluable guidance throughout this project. I am especially grateful to my mentor, Dr. Myeong Lee.

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00:03:43.680 –> 00:03:58.979
Tugce: and Dr. Jieshu Wang for their mentorship, encouragement, and expertise, which shaped the development of this research. I also really appreciate the support of George Mason University’s Oscar program for providing a great research environment.

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College of Visual and Performing Arts Honors College Making and Creating Undergraduate Research Scholars Program (URSP) - OSCAR

Senior Thesis Short Film – Misafir

Author(s): Selma Veli

Mentor(s): Amanda Kraus, Collage of Virtual and Performing Arts

Abstract

This short film, Misafir, which translates to The Guest in English, is a mix of fantasy and drama set inside a Turkish household. The main character, Deren, invites her grandfather to her birthday celebration, unaware of the years of conflict between him and her mother. As Deren tries to uncover the truth behind their silence, an uninvited, mysterious guest appears. Her name is Kat, a cat-human who knows the family as if she holds it in the palm of her hand. And her presence stirs the tension in unsettling ways.
Misafir explores how, in uncommunicative families, the younger generation often feels displaced and even responsible for being the bridge or to pick a side. Many families carry silences and unresolved conflicts across generations, and this story shows how one small act of communication can open the door to healing.

Audio Transcript

Hi, my name is Selma Veli and I’m a film and video studies major concentrating in directing. For my senior thesis, I created a 10-minute short film supported by the Oscar research funds. With this support, I assembled a 25 person crew from George Mason University and cast seven Turkish speaking actors from New York. This short film, Misafir, which translates to “the guest” from Turkish to English, is a mix of fantasy and drama that takes place in a Turkish household. My main character, Deren, invites her grandfather to her birthday party, unaware of the conflict between him and her mother. As Deren tries to uncover the truth behind their silence, a mysterious guest appears. Her name is Kat, a cat humanlike creature that walks in the house and acts like she knows the family, but no one knows who she is or what she is and who even invited her. Misafir explores how in incommunicating families, younger generations often feel like they have to be the bridge between older generations or that they have to pick a side. And this story shows how one small act of communication can start the process of healing. One of the biggest challenges we faced was casting as it was really hard to find Turkish speaking actors, especially in the DMV area. My story was always in Turkish, but I was flexible to make it in English, but I knew it wasn’t going to be a true representation. We looked around in the DMV area. I asked friends and families, but one, no one really wanted to be in it. Second, they didn’t have the skills to be acting. So after receiving the funds, I was able to search beyond the DMV area and I found a bunch of beautiful actors in New York. But since this was a student film and I couldn’t offer payment, accommodation, their travel and stay was essential. So the funds really played a big role on helping me cover those. I also was able to achieve the look that I really wanted for the film. A lot of the props in the house or production design costume was also covered by the fund. The character cat had special props that she required. For example, her wig, her nails, her makeup, and her eye contact were some of the ways I was benefited by the Oscar found. On the production day, I’m 100% sure that our hospitality really satisfied our actors and bringed out the best performance out of them. Some of them were professional actors in the industry and they even came up to us and told us how professional and organized we were even though we’re just a student crew. Overall, the Oscar founding really made this film be a very professional, authentic, and pretty film that I’m very satisfied with. So, thank you for everyone who supported us and thank you Oscar for funding me.

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College of Humanities and Social Science OSCAR Undergraduate Research Scholars Program (URSP) - OSCAR US, Global, and Beyond

Artificial Influence: How Artificial Intelligence (AI) Shapes Global Geopolitics

Author(s): Larion Krivtsov

Mentor(s): Patrick Ukata, Global Affairs

Abstract

Artificial intelligence (AI) has rapidly evolved from a technological innovation into a central force reshaping global geopolitics. As states race to harness AI’s economic and strategic potential, the technology has become a defining factor in international competition, cooperation, and governance. This paper examines how AI is transforming global power dynamics by shifting influence toward actors with advanced computational capacity, vast data resources, and strong innovation ecosystems. The analysis argues that AI functions as a dual-use geopolitical lever: it intensifies strategic rivalries among major powers while simultaneously creating new opportunities for collective regulation and shared ethical standards.
AI is altering the nature of conflict by enabling autonomous weapons systems, accelerating cyber operations, and enhancing disinformation campaigns that blur traditional distinctions between war and peace. These developments challenge established security doctrines and create new vulnerabilities that demand coordinated international responses. At the same time, AI exposes significant gaps in global governance, raising questions about accountability, transparency, surveillance, and human rights that existing institutions struggle to address.
Using a qualitative synthesis of contemporary scholarship, the paper maps AI’s geopolitical effects across four domains: great-power competition, military and security transformation, global governance architectures, and regional ethical perspectives. The findings show that while AI amplifies inequalities and fuels geopolitical tension, it also offers pathways for new regulatory frameworks and multilateral cooperation.
Ultimately, the paper contends that the geopolitical future of AI will depend not on technological inevitability but on the ethical, political, and institutional choices made by human actors. Ensuring that AI advances global stability and human well-being will require governance models that balance innovation, security, and shared responsibility.

Audio Transcript

Hello,
In the early twenty-first century, artificial intelligence has emerged not simply as a technological breakthrough but as a transformative geopolitical force—one that is redefining how power is created, exercised, and contested on the global stage. What once belonged to research labs and commercial enterprises has now become a central pillar of national strategy. Major powers—the United States, China, and the European Union—treat AI with the same seriousness that past generations reserved for nuclear technology. It’s entirely accurate to say that AI has emerged as a powerful and influential tool in shaping global political dynamics.
This transformation raises a key question: How does AI reshape global geopolitics by altering power relations, national security, and international governance? The answer, as this research argues, lies in understanding AI as a dual-use geopolitical lever. On one hand, AI fuels strategic rivalries, widening technological inequalities, and destabilizing traditional hierarchies. On the other, it creates unprecedented opportunities for shared regulation, ethical standards, and cooperative global frameworks.
AI is redistributing power in three critical ways.
First, it rewards states and corporations with data, computational capacity, and technological expertise—not those with traditional industrial strength. The result is a new form of digital stratification that determines who leads, who follows, and who risks being left behind.
Second, AI is redefining conflict itself. Autonomous weapons systems, cyberattacks powered by machine learning, and sophisticated disinformation campaigns blur the boundaries between war and peace. Deterrence, defense, and security doctrines are being rewritten in real time.
Third, AI challenges the foundations of global governance. It raises profound questions about accountability, transparency, and ethics—questions no nation can resolve alone. International law, built for an earlier technological era, must now confront algorithms that make decisions far faster than traditional institutions can respond.
But this story is not only about rivalry. It is also about responsibility. AI forces us to reconsider what human agency means in an age of automated decision-making. It compels us to think about who benefits from technology and who might be harmed by it. And it reminds us that the future of global stability will depend not on machines themselves, but on human choices—ethical, political, and institutional.
If nations view AI only as a weapon of competition, we risk repeating the mistakes of past arms races. But if we recognize its dual-use nature—its capacity to inspire both competition and cooperation—we can harness AI to strengthen global governance, promote shared security, and advance human flourishing.
In the end, the geopolitical future of artificial intelligence will be determined not by the power of our algorithms, but by the wisdom of our decisions. Let us choose a future where AI serves humanity—rather than one where humanity becomes subordinate to its own creations.
Thank you for your attention.

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Cells, Individuals, and Community College of Humanities and Social Science OSCAR Undergraduate Research Scholars Program (URSP) - OSCAR

Elementary School Gifted Program Identification and Secondary School Academic Outcomes for Black Students

Author(s): Ezra Lynch-Holland

Mentor(s): Adam Winsler, Psychology

Abstract

Gifted children show high potential to achieve but need specialized services to develop their capabilities. Black students specifically have been persistently under-identified as gifted and the efficacy of gifted programs for Black children is unknown. This psychology honors thesis will explore the impact of gifted identification on secondary school outcomes (6th through 12th grade) with data from the Miami School Readiness Project, a longitudinal study of students that attended Miami-Dade County Public Schools. Research questions include (1A) To what extent does being identified as gifted in elementary school contribute to secondary school academic outcomes for Black students?, (1B) Are positive effects mediated by elementary school academic performance?, and (2) Are the observed differences between gifted and not gifted Black students in secondary school the same for students in poverty vs. not in poverty, and for boys vs. girls?
The sample for this study includes Black students that had data for at least one year of high school (n ≈11,198). Of the sample, ~13% were identified as gifted in elementary school. Outcome data include cumulative high school GPA, standardized math and reading test scores in 8th and 10th grade, grade retention, attendance from 9th and 12th grade, school suspension, and on-time graduation. Multiple regression and logistic regression analyses will be done, controlling for initial child cognitive skills and social skills at age 4, gender, English language learner (ELL) status, poverty status, and early school performance. Results are expected to show gifted identification to be correlated with positive secondary school outcomes when compared to non-gifted students. It is expected that gifted education will show stronger positive effects for students in poverty and for boys.

Audio Transcript

Hello, my name is Ezra Lynch-Holland, and my Oscar URSP project is entitled, Elementary School Gifted Program Identification and Secondary School Academic Outcomes for Black Students. This project was done under the mentorship of Dr. Adam Winsler.
Federally, gifted children are those that display high potential for success intellectually, creatively, in a leadership capacity, or in a specific discipline. The federal government also acknowledges they need services not ordinarily provided by the school to develop these capabilities, and requires identification of gifted children. School districts tend to disproportionately over-identify students with higher socioeconomic statuses and under-identify those in poverty. When it comes to race, Black students are persistently under-identified nationally, even when they make up larger parts of the district’s population.
Black students’ education is particularly impacted by their relationships, where positive ones can act as a strong buffer against negative experiences. However, gifted Black students face isolation in gifted spaces from their non-gifted Black… and from their non-gifted Black peers, with T’s and being common in the latter. Microaggressions from both other students and teachers are present in gifted spaces in the form of underestimating their intellectual ability or belittling their interest in Black history and topics.
Black and Hispanic students tend to spend less time in gifted programs, and the improvements giftedness typically has on academic achievement are somewhat diminished in Black comparisons. Even so, it has been shown that the self-esteem of gifted Black students benefits more from gifted programs than their non-Black peers.
This study will derive from the Miami School Readiness Project dataset, or MSRP. It was a cohort sequential longitudinal study where data was collected from 2002 to 2020. Students included in the study are those that received subsidies for community-based childcare or public school pre-K, and then went on to attend Miami-Dade County Public Schools. In the larger study, the total number of students included that have data for at least one year between grades 6 and 11 is 32,885. 82% are on free and reduced lunch, and 52% are male. This study seeks to investigate if being gifted has positive academic impacts through secondary school by controlling for prior achievement and cognitive skills using school… administrative school data.
To be included in the study, a student will have had to be present for at least 8th grade and identify as Black in administrative school data. Bicep sample from the MSRP consists of 11,198 students that identified as Black, including Afro-Latina students. Around 13% of them were identified as gifted according to administrative school data. Outcomes that will be analyzed include cumulative high school GPA, standardized test scores in 8th and 10th grade, and school attendance, as well as grade retention, school suspension, and on-time graduation. Multiple regressions will be used for continuous outcomes and logistic regressions for categorical outcomes.
My research question 1A is to what extent does being gifted identified in elementary school contributes to secondary school academic outcomes and school engagement for Black students. I hypothesize that being identified as gifted in elementary school will be correlated with greater academic achievement and engagement outcomes when compared to non-gifted students.
My 1B question asks if positive effects are mediated by school, elementary school academic performance. My hypothesis is that after considering elementary school performance, being identified as gifted in elementary school will still have a higher correlation with those greater academic achievement and engagement outcomes. These mediators will be matched with their resultant outcomes for the regression models.
The research question 2 asks if the observed differences between gifted and not gifted students in secondary school are the same on the basis of poverty status and gender, as well as English language learner status. I hypothesize that boys, those in poverty, and those that aren’t English language learners will benefit more from gifts programs than their counterparts. And here are my references. Thank you.

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College of Humanities and Social Science OSCAR Undergraduate Research Scholars Program (URSP) - OSCAR US, Global, and Beyond

When No Response is a Response: Predicting Survey Non-Compliance in Isolated, Confined, Extreme Analog Space Missions

Author(s): Amber Bartlett

Mentor(s): Lauren Kuykendall, Psychology

Abstract

Long-duration space exploration will place small, interdependent teams in isolated, confined, and extreme (ICE) environments, where they will face risks including communication delays, high autonomy, increased workload, team tension, and intense stress. All of these risks require research studies aimed at mitigating them, many of which take place at analog space stations. However, these analog missions, which aim to study human behavior in ICE settings, suffer from chronic survey noncompliance, which threatens data integrity and reduces the accuracy of crew monitoring. This project examines which individual characteristics predict who completes research surveys during missions at the Mars Desert Research Station, a Mars-analog habitat in Utah. Before their missions, crew members completed questionnaires assessing personality (with a focus on conscientiousness), their identification with their team, their cultural values (especially collectivism, or putting the group before oneself), and their difficulties with emotion regulation. During the mission, they were asked to complete brief daily and weekly surveys. For each person, I will calculate survey compliance as the percentage of assigned surveys completed, and I will use regression models to test whether conscientiousness, emotion regulation, team identification, and collectivism predict higher compliance. I will also test whether collectivism strengthens the link between team identification and survey completion, such that highly collectivistic crew members who strongly identify with their team are especially likely to respond. I expect that crew members who are more conscientious, better at managing their emotions, more strongly identified with their team, and more collectivistic will show higher survey compliance. The work integrates literature on ICE stressors, organizational citizenship behavior (OCB), survey methodology, and individual differences to generate actionable recommendations for designing analog-station research protocols and for operational monitoring in deep-space missions.

Audio Transcript

Hi, my name is Amber Bartlett. I’m an honors psychology student at George Mason University. My project is called “When No Response Is a Response, predicting survey non-compliance in isolated, confined, extreme, analog space missions”

My mentor is Dr. Lauren Kuykendall in the Industrial Organizational Psychology Department. So what is the big picture of my project? Long duration missions to Mars and to the moon will place very small crews into what we called isolated, confined, extreme, or ICE environments. These missions will involve tight living quarters, high workloads, autonomy, communication delays, and one of the tools we can use to track how these people are doing is through self-report surveys.

But the issue with doing research on ICE teams is the fact that the sample sizes are incredibly small, so when people skip surveys, we lose statistical power and increase the risk of error in our findings, and missingness is often not random. The people who stop answering might be the ones who are most stressed out, which means that things can be biased. So this leads to my core question, can we predict who complies with surveys before a mission? If we can identify likely non-responders ahead of time, then we can actually anticipate, model, and design around that.

So this project is a part of a collaboration between the University of Central Florida, where we’ll be using UCF’s IO Psychology PhD student Andres Käosaar’s data set from the Mars Desert Research Station. So MDRS is a Mars analog habitat where small crews simulate living on Mars. They’ll be conducting EVAs, conserving resources, and living in a confined environment.

And for this project, I will be using the data set that includes 99 individuals, 16 crew members, and a total of 761 habitat days. Most of the missions had teams of about six to eight members, and participation in Andres’ study was completely voluntary. Now because it was voluntary, I treat filling out these surveys as a type of organizational censorship behavior, and this is when people are doing small extra things at work that help their team organization, because doing his research survey was completely just to help his research.

So to understand why some people keep doing this extra work and why others don’t, I focus on four key constructs from the literature. So that’s including conscientiousness, emotional regulation difficulties, team identification, and collectivism within someone’s culture. So the knowledge gap is that analog space research already acknowledges chronic survey non-compliance and missingness.

However, individual level predictors or survey compliance and ICE teams remains undermodeled. We don’t have a clear guidance on what type of people are most likely to disappear from the data set, so my project is designed to help close that gap. So within this data set, participants completed pre-mission surveys which included measures such as conscientiousness, emotional regulation difficulties, team identification, and collectivism.

So during the mission, they received daily and weekly self-report surveys about their experience and well-being, and my main outcome is survey compliance, so this is defined as the percentage of assigned surveys each person completes over the mission. So based on this, I have five different hypotheses. First is higher conscientiousness will predict greater survey compliance.

Second, better emotional regulation will predict greater survey compliance. Stronger collectivism, stronger team identification, and collectivism moderates team ID compliance. All of this, I’m going to assume it will increase greater survey compliance.

Now with OSCAR’s help, I was able to visit MDRS in person, and these photos here show the habitat. It shows the people that I was with out there, and it really helped me understand what it’s like to be living in one of these space analog stations. So my next step is to run descriptive analysis on all of the hypotheses that I just showed you, and so that will be what I’m doing next semester.

The expected implications is that if my hypotheses are supported, this work suggests that voluntary survey compliance in ICE analogs is not random. It’s a predictable citizenship-like behavior rooted in personality, emotional regulation, and how people relate to their teams and groups. So this has several implications such as pre-mission screening, low burden monitoring, and then just identifying patterns of non-response, but also if my hypotheses are not supported, it means we should be looking somewhere else other than the OCB literature, which right now is where the main source of research is coming from when it comes to non-response and surveys.

So I want to thank my mentor, Dr. Lauren Kuykendall, Andres Käosaar, Dr. Seth Kaplan, Dr. Brielmaier, my psychology honors cohort, the MDRS director, and of course OSCAR URSP. If you would like a link to all of my resources that I’ve used, here’s a QR code for that. Thank you so much for listening.

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College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Music and Emotions: The Effects of Commercially Available and Computer-Generated Music on Brain Activity

Author(s): Omar Alsuhaibani

Mentor(s): Nathalia Peixoto, Bioengineering and Electrical Engineering

The use of background music while completing mentally stimulating tasks has recently gained popularity. What gives music its potential to improve learning outcomes has to do with characteristics like tempo and tone.

This research investigated the changes in EEG signals under numerous experimental conditions: silence, 3 ascending tempos of commercially available music, and 3 ascending tempos of computer-generated music with two different genres: classic and modern. The order in which music was played was randomized for each participant. The first three trials used commercially available classical music across 3 tempos: slow, moderate, and fast. The other six trials used computer-generated music to test each of the following modern and classic music genres: calm, stimulus, and focus.

During testing, brainwave activity and heart rate were measured by the means of electroencephalography (EEG) and electrocardiography (ECG) respectively. The Muse 2 headband from InteraXon was used to measure alpha, beta, theta, delta, and gamma waves using four different channels. The E4 Empatica wristband measured heart rate throughout the different music tests as a parameter to indicate if spikes in brain activity can have a direct effect on heart rate.

The results indicated that different types of commercially available music had an overall higher power spectral density than that of computer-generated music. This suggests that brain activity was stronger when listening to commercially available music. With the computer-generated music, all the Muse 2 channels were synchronized with one another in terms of brain activity. This indicates that computer-generated music has the effect of causing identical activity in terms of power spectral density, while showing spikes at frequencies in the front and back areas of the right and left hemispheres of the brain. The testing of computer-generated music was used to examine the frequencies to see if the music piece evokes the intended emotion.

Slide 1: Hi, my name is Omar Alsuhaibani and today I will be presenting my URSP research, Music and Emotions: The Effects of Commercially-Available and Computer-Generated Music on Brain Activity.

Slide 2: Music is almost everywhere, from shopping malls to elevators and ice cream trucks, that it has essentially embedded itself in the human genome. What gives music its potential to improve learning outcomes has to do with characteristics like tempo and tone. The use of background music while completing mentally stimulating tasks, such as homework, has recently gained popularity. This research aims to examine the effects that computer-generated and commercially available music has on human brain activity and heart rate, and to see if they relate and differ by analyzing the power of different types of brainwaves that indicate the different types of activity. The objective of this research is to identify if computer-generated music that is intended to evoke certain emotions truly achieves that effect by examining physiological signals, such as brainwave activity and heart rate, and comparing it to commercially available music with similar levels of tempos.

Slide 3: To gain a better understanding of the effects of computer-generated music in comparison to commercially available music, this study investigated the changes in EEG signals under numerous experimental conditions: silence, 3 ascending tempos of commercially available music, and 3 ascending tempos of computer-generated music with two different genres: classic and modern. Participants were recruited for an experiment that exposed them to 9 pieces of music for a duration of 56 minutes. The order in which the music played was randomized for each participant. Three of the music pieces were commercially available classic music with slow, moderate, and fast tempos. The other six were different types of computer-generated music, known as classic calm, classic stimulus, classic focus, modern calm, modern stimulus, and modern focus. Each computer-generated music piece was meant to evoke a certain emotion within participants such as calmness, stimulus, and concentration (e.g. calmness when listening to calm music, concentration when listening to focus music). Differences among conditions will be observed through brainwave activity, which was measured by the means of electroencephalography (EEG) using a Muse 2 Headband, and heart rate, measured by the means of electrocardiography (ECG) using the E4 Empatica wristband. The Muse 2 headband from InteraXon was used to measure alpha, beta, theta, delta, and gamma waves. By extracting the data from the Muse 2 headband, the muse monitor app is used to import it into EEGLAB for analyzation. The visualization of this data may be conceived through a spectral density graph which aids in understanding the measured activity across areas (the sulcus and the gyrus) at the right and left hemispheres of the brain. The E4 Empatica wristband measured heart rate throughout the different music pieces as a parameter to indicate if spikes in brain activity can have a direct effect on heart rate. The changes of the music styles and tempos allowed us to determine its influences on physiological modulation. Studies have also shown that music with slow and steady rhythms reduce stress by changing body rhythms like heart rate (Witte et, al.).

Slide 4: We can see here the results with a baseline test of the typical brain activity, a commercially available slow tempo music piece (also known ad adagio), and a computer-generated modern focus music piece. The results indicated that different types of commercially available music had an overall higher power spectral density than that of computer-generated music. This suggests that brain activity was stronger when listening to commercially available music. With the computer-generated music, all the Muse 2 channels were synchronized with one another in terms of brain activity. This indicates that computer-generated music has the effect of causing identical activity in terms of power spectral density, while showing spikes at frequencies in the front and back areas of the right and left hemispheres of the brain. The testing of computer-generated music was used to examine the frequencies to see if the music piece evokes the intended emotion.

Slide 5: The future implication of computer-generated music poses great potential in music therapy development by analyzing how the mind, emotions, and physiological signals can react towards different types of simulations. For upcoming plans for the future, we will be recruiting more students for testing to gather more data. In addition, we will try to gain more understanding on brainwave activity and what certain values in terms of spectral density and frequency can indicate particular emotions. We will also begin to write a paper to be published.

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Undergraduate Research Scholars Program (URSP) - OSCAR

Novel Sleep-Related Genes in Fruit Flies: Focusing on The Voltage-Gated Calcium Channel “straightjacket” (stj)

Author(s): Mounia Hammadi, Matthew Perez

Mentor(s): Ren L. Guerriero, Interdisciplinary Program in Neuroscience

Sleep is a vital part of human life known for rejuvenation and memory consolidation, but the molecular processes of this state are poorly understood. Drosophila melanogaster has been shown to exhibit this similar behavior under circadian and homeostatic control. Thus, to perform genetic manipulations that will enhance or degrade sleep, this model organism will be utilized to present a better understanding of the molecular aspect of sleep in humans. This study’s novel sleep-related gene includes stj (straightjacket). A UAS-Gal4 system will be utilized to carry either an RNAi or knockdown mutation of the gene. The Gal4 targets known sleep-regulating areas in the Drosophila brain, including the mushroom body, fan-shaped body, and ellipsoid-shaped body. Drosophila Activity Monitors (DAM2) will be used to record their locomotor activity over time. Sleep is determined if the infrared beam has not been broken in 5 minutes. Preliminary data has shown that stj in mice (Cacna2d3) codes for a calcium channel protein that interacts with various circadian genes that control the internal clock (Joshi et al., 2019). Thus, it is hypothesized that genetically modified flies will have a modified circadian rhythm. The preliminary data has already begun to show some trends of circadian rhythm modification. The female genetically modified flies with the RNAi modification experience higher activity/awareness during phase changes (from light to dark) compared to their parents. However, to properly understand if the gene is affecting their circadian rhythms, they will have to experience 24-hour Light:Light and Dark:Dark conditions. The importance of validating this novel sleep-related gene is to provide scientists with an understanding of the molecular processes of the circadian rhythm and even the homeostatic responses to sleep. This molecular understanding will allow scientists to develop better medicines or therapies that can counteract sleep-related diseases, including insomnia and restless leg syndrome (RLS).

Hello, my name is Mounia Hammadi. I am an undergraduate from Dr. Ren Guerriero’s sleep lab at George Mason University in Virginia.
My ongoing project is looking at novel sleep-related genes in the Drosophila melanogaster through various sleep trials that analyze total sleep trends and sleep bouts.
For the past two semesters, I have been focusing on the straightjacket gene.
We chose straightjacket as the first gene of study due to the paper published by Joshi et al. in 2019. They were analyzing the ortholog of straightjacket known as Cacna2d3. This gene is a calcium channel protein that they found to interact with various circadian genes in knockout mice.
Some of these genes include period 1 (Per1), Clock, Bmal1, and Nalcn. Thus we hypothesize that this ortholog interacts with the mice’s circadian rhythm. We determined the ortholog of Cacna2d3 in flies through the ProteinBlast website where we analyzed protein sequences to determine the fly protein that most closely resembled that of the mice. And since straightjacket is also a voltage-gated calcium channel found in neuronal tissues of Drosophila melanogaster, we believe it is the top candidate to represent the Cacana2d3 in flies.
The knockout mice were deemed a top candidate gene for sleep effects. However, the way in which it is so in the Joshi paper is not specified. There are also no other papers that we have found discussing specifically the sleep effects of this calcium channel protein. Thus, since the ortholog has been shown to acquire interactions with vital circadian genes, it is expected that there will be some alteration in circadian rhythm in the Drosophila melanogaster with a modified straightjacket gene. Thus, our hypothesis states if the voltage-gated calcium channel protein stj interacts with vital genes for the fly’s circadian rhythm, then there will be an abnormal sleep effect through their circadian rhythm.
The flies were kept in 12:12 light-dark conditions at 22 degrees Celsius in vials with cornmeal, molasses, and a yeast mixture one week prior to running (the trials). Total sleep was recorded in Drosophila Activity Monitors made by Tri-Kinetics incorporated. These monitors were placed in a 22-degree Celsius incubator for a week, each holding a max of 32 flies per monitor. The genotypes utilized for straightjacket manipulation include a GAL4 that is expressed throughout all nervous tissue when activated, which is the 8765 that can either activate the 25807, which is a UAS-TRiP which decreases the amount of straightjacket RNA being produced or a MIC-mutant, 34109.
To obtain the activated genome in the flies, we crossed a GAL4 with the UAS genotype flies, as well as the mutant ones. Only virgin females were utilized, females that were within 8 hours of eclosion, as well as just any kind of male. We had a total of four different genotypes of offspring. One where the male was the 8765 which was crossed with either a virgin female 25807 or a virgin female 34109 and vice versa. This was to ensure that any abnormal phenotypical responses were not determined by the sex of the parents. This would indicate that straightjacket were associated with a sex chromosome. Thus ending us with four different genotypes of progeny.
Data analysis was done with the DAM-2 software and a macro Excel sheet created by Paul Shaw. The excel sheets were used to organize the data points on the average beam crosses per fly from ZT0 to ZT 23. The total sleep was graphed with R-Studio. These graphs are showing the total sleep of the flies for four days after two days of allowing the flies to readjust to their new environments. The end value (number of flies) can be found under these figures. I want to strictly emphasize that this is strictly preliminary data since statistics have yet to be run on total sleep. However, qualitatively, the female flies of the offsprings, more specifically 8765 (F) x 25807 (M), which is this blue line here, which is the UAS-GAL4 system, have decreased sleep at a phase change from light to dark, which is ZT11. Qualitatively there is no substantial difference for the males, as shown with this graph here.
Preliminary data of the straightjacket mutated flies shows an increase in sleep during the light phase for both of the crossed progeny. Which is shown in green and blue when compared to the parental 34109, which is shown in red. However, there is a decrease in sleep when compared to the GAL4 8765, which is in purple. The females have a more distinct difference qualitatively than the males. These end values can be found under the figures (number of flies used).
Once more, I am Mounia Hammadi. I am an undergraduate student studying at Dr. Ren Guerriero’s sleep laboratory at George Mason University. As you can see to the right, the laboratory consists of Dr. Guerriero as the principal investigator and the other undergraduate student, Matthew Perez. I would like to thank George Mason’s OSCAR URSP for funding me over the summer as well as OSCAR Undergraduate Student Travel Fund for providing me the financial aid to attend the conference as well as the Interdisciplinary Program in Neuroscience at George Mason for providing me with the proper resources to run these experiments. Please reach out if you have any questions or comments about this project.

Categories
College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Study of of Additively Manufactured 316L Stainless Steel

Author(s): Benjamin D. Fuentes Brock

Mentor(s): Mehdi Amiri, Mechanical Engineering

Laser powder bed fusion (LPBF) additive manufacturing (AM) is a relatively new manufacturing method in which metal parts are manufactured layer-by-layer through rapid heating and cooling of the powder bed. Consequently, complex geometries can be produced to simplify assemblies and reduce material wastage. These benefits make adopting additive manufacturing enticing, however mechanical and electrochemical properties of AM metals are significantly influenced by their unique microstructural and defect features that are highly dependent on the build parameters. In this experiment, we will investigate the interplay between mechanical and electrochemical effects on additively manufactured stainless steel 316L (SS316L). Tests are designed to perform corrosion characterization on AM coupons in stressed and stress-free conditions. Corrosion properties such as pitting potential, corrosion potential, and corrosion current density will be characterized under both stress conditions. Results of the AM samples will be compared with the results of the wrought SS316L to understand the effects of microstructure and defects on corrosion properties. Conclusions will be made about how significant the impact of additive manufacturing is on key properties of this material and if there are any relevancies to its microstructural characteristics. This increase in insight will reveal how to implement AM SS316L safely so its previously mentioned benefits can be realized when appropriate.

Hello everyone, my name is Ben Fuentes and I work with my mentor, Dr. Amiri, in the Reliability and Mechanics of Failure Lab under GMU’s Mechanical Engineering Department. Traditionally, metals parts are manufactured subtractively to their desired shapes with excess material being removed. However, a relatively new technique, called additive manufacturing, operates differently as metal powders are rapidly heated and cooled layer-by-layer to build the part. The effect of this difference in process is a great concern as it could influence important properties of metals. As a result, this project investigates these changes by comparing the corrosion and fatigue, which are two very important factors in aerospace applications, of 316L stainless steel manufactured traditionally and additively. The foundation of this experiment is a fatigue test which examines how many times a material can be loaded and unloaded before failing and is essential for creating safe designs. An everyday example of fatigue is the consistent bending of a paper clip or metal wire which causes it to break clean. With respect to this project, fatigue is tested using the micro-fatigue tester at the lab. A metal sample is attached rigidly through the use of bolts and a load is supplied through an electric motor and gears. On the other side, a load cell is present which measures the amount of force being applied to the sample. The other essential part of any test involving load is measuring the strain. Strain, which is the measure of elongation, is typically measured 1-Dimensionally through the use of an extensometer. However, there is a process called Digital Image Correlation and allows for strain to be traced in 2 and 3-Dimensions. This process consists of imprinting a pattern onto the surface which was accomplished by lightly corroding the sample. Next, a series of photos of the sample are captured throughout its elongation. Finally, the images are passed through a DIC program to track displacements over time. The second portion of this experiment involves corrosion which is the loss of material due to its interactions with the environment. Fundamentally, corrosion is a redox reaction which means that electrons are transferred and positively charged ions are ejected from the material which ultimately results in a loss in mass. This exchange in electrons can be captured as electrical current which ultimately allows for corrosion to be a quantifiable property so it can be compared with other materials tested in a similar environment. This experiment was designed to compare the fatigue strength, or the number of cycles until failure, of traditionally and additively manufactured samples of the same geometries at various loadings and corrosive environments. While this project experienced several difficulties which delayed the collecting of results, predictions can be made through the analysis of other experiments that are similar in nature. For example, researchers at the University of Toledo and University of Memphis found that additive manufactured titanium had worse fatigue strengths which could be explained by the buildup in residual stresses due to the iterative cooling and heating or through other induced defects experienced through manufacturing. Additionally, a research group in Belgium found that resistance to corrosion in additive manufactured aluminum alloys were generally equivalent to or better than their counterparts despite the large number of defects present. Regardless of how additive manufactured metal performs against its traditional counterparts, the primary value in this experiment is understanding the limitations of additive manufactured materials so they can be implemented safely and effectively so that their benefits, such as reduced material wastage and ability to produce complex parts, can be utilized fully. The following slides cite sources where information was obtained from, and I’d also like to acknowledge OSCAR URSP for providing funding and supplemental learning for this project. Thanks for watching!

Categories
College of Public Health Honors College Undergraduate Research Scholars Program (URSP) - OSCAR

The lack and delay of endometriosis diagnosis in black women

Author(s): Nene Uwaomah

Mentor(s): Jhumka Gupta, College of Public Health

Endometriosis is a chronically painful condition with poor health related outcomes for those diagnosed with it. These outcomes may include chronic pain, infertility, and experiences with stigma, among others. While there is some research available on the experiences of women of color in other jurisdictions, the experiences of women of color in the DC metro area, who have been diagnosed with endometriosis, have yet to be characterized. This study serves to understand how black women and other women of color with symptoms suggestive of endometriosis experience medical racism. This will be done with a focus group from participants from the ENDO-Served study on endometriosis in women of color based in the DC metro area. The research question: are women of color who report discrimination in the healthcare setting more likely to have a lack or delay of diagnosis of endometriosis? The methodology used in this study was a qualitative methodology, done with interviews of women of color with endometriosis. Through these interviews the participants will express their experience with their diagnosis of endometriosis and the treatment they received from their healthcare provider. Results from this methodology will help us to explore a deeper understanding of the perceptions and stigma of this condition. As well as help to develop programs related to reducing barriers as well as time of diagnosis, addressing racism, and stigma, among black and other women of color. This research was conducted with the funding of OSCAR and URSP at George Mason University. The research was overlooked by Dr. Jhumka Gupta a professor at George Mason University, and Julia Mandeville, Ph. D candidate responsible for the study and creation of Endo-Served.
Hello and thank you for coming to my presentation. My name is NeNe Uwaomah and I’m presenting my study are women of color who report discrimination in the healthcare setting more likely to have a lack or delay of diagnosis of endometriosis. My mentor is Dr. Gupta from the Department of Community and Public Health at George Mason University.

Some background from how we got to this topic question; endometriosis is an understudied disorder of the uterus. Endometriosis is a disorder in the female reproductive system that occurs when tissues that normally line the uterus, grow outside of the uterus. It is a chronically painful condition with poor health related outcomes for those diagnosed with it. Endometriosis impacts 1 in 10 women, and is a condition characterized by debilitating pelvic pain and activity impairment that can also lead to infertility. Other than the lack of research into the experiences of women in these populations with endometriosis, there are also disparities in the diagnostic outcomes. Studies have found that Black women were less likely to be diagnosed with endometriosis (OR 0.49, 95% CI 0.2 9 -0.8 3)4, or were more likely to have a delay in diagnosis (µ=2.6 years older (95% confidence interval [CI], 0.5-4.6), when compared to white women(Li, et al, 2021).
The methodology used in the study included both qualitative and quantitative formats. First was an IRB approved Qualtrics survey prepared by Endo-Served. A project developed for the study of endometriosis in women of color in the DC, Maryland, and Virginia metropolitan area. The study identified key similarities between volunteers and their experience with endometriosis and the healthcare system. From the survey, significant numbers showed that discrimination was a factor with the women’s diagnosis along with stigma. From the survey participants a few women volunteered to participate in individual meetings to discuss their diagnosis story and experience in healthcare. Authentication of participants was prioritized. Their identities remain anonymous. It was ensured that the participants were aware of and comfortable with the study design and purpose. The interviews allowed the participants shared their difficulties with their diagnosis, as well as answer questions pertaining to their experience. The questions included;
Tell me your diagnosis story
2. Where did you first hear the word “endometriosis”?
a. Probe for family/friends, social media vs health care provider
3. In our data with ENDO-Served (explain what Endo-served is if they are not familiar), we are finding that women who reported learning about endometriosis for the first time from a family member/friend also reported more experiences with racism in a healthcare setting. Why do you think this is?
a. How, if at all, does this relate to your experiences?
4. What do you think needs to change regarding racism in healthcare settings?

The interviews resulted in similar answers between the four participants. ¾ of the women had to receive second and third opinions as their concerns were not taken seriously enough by their first physician. All of the women experienced excruciating pain, heavy bleedings, nausea, extended fatigue and some experienced problems with childbearing. Each woman explained their difficulties as they did not feel heard by their medical professionals and were stereotyped into the stigma that their pain tolerance was higher as black women. They were made to feel isolated and crazy, resulting in trauma of life alterations. When the women were diagnosed, all had to undergo surgery in order to remove cysts, fibroids, and growths. At the point of diagnosis, the women were in moderate and severe stages of endometriosis.
Most women had just first heard of endometriosis when they were being diagnosed, and those that did not first hear it through diagnosis, had looked up their symptoms through non-formal sources and discovered endometriosis. The cause of endometriosis is unknown, but it is believed to be a genetic or hereditary disorder. There is no cure, but a hysterectomy is the medical recommendation to cease major pain.
The lack of representation in research and clinical studies, is of consequence for women of color in the diagnosis, management and treatment of endometriosis which may result in misunderstanding, misdiagnosis and lack of appropriate treatment options when engaging with healthcare providers. This prompts a need for further research and action on this topic as there are many more women suffering in pain due to insufficient knowledge on this topic. Continued work on this study will help to foster a deeper understanding of the perceptions and stigma of this condition and additionally provide evidence for developing programming related to reducing barriers as well as time of diagnosis, addressing racism, and stigma, and facilitating help-seeking among Black women and other women of color.

Thank you for listening and I would like to also thank my mentors and co-organizers at George Mason University; Dr. Jhumka Gupta, Dr. Anna Pollack, Julia Mandeville, and Lauren Kornegey, as well as all the volunteers for the interviews and survey participants. And of course, a big thanks to Dr. Karen Lee and the undergraduate research scholars program and OSCAR for funding my project this semester.

Categories
Honors College Schar School of Policy and Government Undergraduate Research Scholars Program (URSP) - OSCAR

The Persistence and Proliferation of Congressional Caucuses

Author(s): Molly Izer

Mentor(s): Jennifer Victor, Schar School

While congressional member organizations (e.g., caucuses) in the U.S.
Congress are frequently trivialized by political punditry, they have been
proliferating over the past 30 years, ever since then-Speaker Newt Gin-
grich changed House rules to de-fund them. If caucuses are nothing more
than performative posturing, why do so many persist, with dozens of new
groups being formed each congress? We theorize that caucus ”birth” is
driven primarily by constituent interests and advocacy groups, while cau-
cus persistence is a function of groups’ effectiveness at connecting legisla-
tors who would be otherwise disconnected from one another. This paper
explores the persistence and proliferation of these campus clubs using a
novel data set comprised of the universe of individual caucus memberships
1993 – 2020. We statistically model caucus characteristics associated with
group survival, which include group size and bipartisan support. We use
quantitative and qualitative evidence from interviews to assess the extent
to which the explosion of caucuses on Capitol Hill has been driven by
advocacy groups. A richer understanding of this pervasive congressional
institution contributes to understanding the many ways that members of
Congress interact with one another. This understanding helps ultimately
to explain the parameters of congressional dysfunction.

Hi, I’m Molly Izer. I’m an undergraduate in the Schar school, majoring in government and international politics. And the title of my presentation is the persistence and proliferation of congressional caucuses.
And my mentor on this project is Dr. Victor also in the Schar school. So the point of this project and the research origin stems from a very important to 2013 study that was published by Dr.
Victor as well as her coauthor, Dr. Neils Ringa of the university of Wisconsin in the 2013 study. It was the first time they demonstrated a longitudinal study, which means over time on informal networks in the house of representatives.
Since the 2013 study of there have been massive changes and the ideological administrative and legislative norms governing the house of representatives and as such, it’s important to conduct a further longitudinal study on topic with our expanded dataset and in taking into account, the continuous changes that Congress simply put Congress has changing.
And so should our understanding. So this project in particular, explicitly focuses on the reasons that drive the birth and persistence of congressional member organizations also known as caucuses.
And it’s part of a larger project that explains the importance of informal networks and legislative institutions and how informal connections act as driving forces instead of large deliberative body.
Essentially, we, we hypothesize that congressional member organizations are part of the reason that people are able to coordinate collective action across the term, a broad coalition.
There are 435 members of the house of representatives, meaning one singular member. Isn’t very powerful, but when they’re in groups, they hold a little bit more power.
So a congressional member organization, essentially a way to do that, it’s almost like a informal club that members of Congress can rally around.
And there are some pretty interesting examples of types of caucuses. They range anywhere from the congressional voting caucus to the coalition for autism research to climate change related things.
There are over 700 documented caucuses that we have in Dr. Baker’s data sets and make been continuously growing. So just to emphasize the point that we need to continue to study them over a long period of time, I’m quick a picture of speaker of the house, Newt Gingrich, former speaker of the house, flipping grudge.
And he’s infamous for having changed the rules a while ago on how caucuses operate and what their administrative statuses can be.
And that’s another example of why it’s important to continue to send them over time, to see if changes to the institutions that Gover in informal networks will actually change anything about what they do or why they exist.
So the aims of this research are threefold. The first is that we aim to further understand what drives the birth of congressional member organizations and why they continue over time.
An important thing to understand about the house of representatives is that in the house, the term limits are only two years, meaning every two years, every single member has to go through reelection processes.
And while it can be to you as a voter, it’s even more tedious when you’re actually a member of the house or of their staffers, because it means you have to essentially rebuild your entire coalition every two years.
So it’s important to understand why it is that members continue to engage in certain parts. If it’s going to add on additional work on top of their already very busy schedules, we also want to map connections and social networks within the house of representatives.
And we want to track those networks in relation to broader data on legislative activity and institutional opera, opera realization. This is really important too, because we have to consider not only how institutions bind members of Congress, but also how outside forces informal networks can have a monumental impact on them.
And finally, we want to clarify, emphasize the value of informal institutions and legislative bodies and what benefits they pose to the legislative process as a whole.
So we use two different types of data. It’s really hard to look at informal networks through a solely empirical lens, which is why this year we had to integrate the qualitative data process.
So first to explain the qualitative data process, our qualitative data consists of hours of interview transcripts from various staffers in the house of representatives.
And that includes lobbyists and independent advocates who may engage with them. These were conducted via zoom, and we’re using the transcripts by coding them in NVivo, which they qualitative did software for our quantitative data.
We’re using an original data set, but Dr. Victor created and has kept since the hundred and third Congress, the hundred third Congress heard it in 1993.
And it goes all the way through the 117, which is the current Congress we’re in. Now that will end in November.
So essentially the data records, the party caucus and leadership positions that every single member of Congress occupies at any given time, the master file consists of over 6,000 data points and is managed largely largely in our, and that’s how we manage all of our quantitative and empirical analysis.
So we have many different hypotheses that are staked out in different phrasing so that we can use empirical tests to test each one of them individually.
But our general hypotheses are that caucus birth is driven primarily by constituent interests and then advocacy groups while Congress persistence, meaning keeps going over time is a function of how effective the group is connecting people who would otherwise not really meet each other or interact at all.
So our preliminary findings are a little bit limited because we’re still going through the writing process, but we do have a couple of really interesting visualizations here.
So this first one up here is, um, a one, a one party caucus members. And as we can see, they have increased by party at disproportionate rates with Democrats on average, joining more one party groups than Republicans.
In addition to the sheer number of congressional caucuses has continuously increased up until the 116 Congress. We’re not entirely sure if the, uh, the gap in increasing after 116 Congress is due to the COVID-19 pandemic or because of the January six insurrection we’ve gathered qualitative data that suggests both either or neither of them finally moving forward with this project.
So obviously we’re going to continue the writing process. And Dr. Richter is working on a larger book apart of which this will be integrated into it a little bit, but this paper in itself was accepted to the American political science association annual conference, which this year will take place in the beautiful city of Montreal.
So we’re excited to keep moving forward and continued to report our findings.

Categories
College of Education and Human Development Undergraduate Research Scholars Program (URSP) - OSCAR

The Winning Game: Analyzing the negative implications of the win-at-all-cost mentality on intercollegiate sports

Author(s): Nana Osei-Wusu

Mentor(s): Julie Aylsworth, College of Education and Human Development

https://youtu.be/cW3CpOTlOAg

The glorification of winning in intercollegiate sports over the years has taken an unhealthy turn. The National Collegiate Athletic Association (NCAA) has slowly shifted from a governance system based on enforcing its stance on amateurism to one that covertly endorses its slow shift into commercialism. This switch has directly affected the perception of collegiate sports, putting a significant amount of pressure on the coaches to produce winning seasons; thus creating a demand for athletes with high mental toughness. The objective of this study is to research the emphasis on mental toughness in athletes as the win-at-all-cost mentality continues to prevail within the intercollegiate sporting scene. Drawing from pre-existing literature to enhance our understanding of mental toughness. We will be able to determine what programs focused on supporting collegiate athletes will be beneficial, what should be included and how to properly tailor them to combat the negative implications established by a fixation on mental toughness.

Introduction:
When this research project began my goal was to analyze the negative implications of the win at all cost mentality in sport. I soon realized 2 months into my research that the effect of the win at all cost mentality was one that could not be dissected in a semester.

We will begin from where I started…… This is currently the world of intercollegiate sports

*Roll 16 second clip*

According to the Washingtons Posts review of thousands of pages of financial records from the athletic department of 48 schools the five wealthiest conferences in intercollegiate sports. In 2014 these 48 schools spent a combined amount of $772 million on athletic facilities, an 89-percent increase from $408 million spent in 2004. These lavish facilities are a result of a perpetual Arms Race between Division 1 institutions. The underlying purpose of this “race” is to attract Blue Chip athletes.

Transition slide: What is the Arms Race and what does it have to do with the win-at-all cost mentality?

*insert video explaining the Arms Race = Audio*

Top tier athletes boost attendance and create winning seasons.

* Edited clips addition *
Top Tier Athlete + School = boost in attendance +winning season (Show clip of Duke audience + show team holding NCAA championship)

Research regarding the win-at-all-cost mentality was getting overwhelming with so many unturned stones, questions and gray areas. From looking into the arms race to the D1 to JUCO to D1 cycle and the effects of that on athletes to reviewing surveys conducted by the NCAA from the years 2015 – 2022 gauging the mental health of athletes and the disappointing results that showed the mental health of male athletes slowly positively progressing while that of female athletes either stayed stagnant or saw little to no progression.
According to NCAA survey records, 26% of male athletes in the Spring of 2020 reported mental exhaustion, this number dropped to 21% in the Fall of 2020 and rose by 1% in the Fall of 2021. Among female athletes the number of student athletes that reported mental exhaustion was 39 % in Spring 2020 in Fall 2020 it stayed at 39% and dropped by 1% in Fall of 2021.

While I had lost my sense of direction these figures were ingrained in my memory. Pushing me onto the path of more specific research. I had an idea of what could possibly be causing our athletes these high levels of mental exhaustion and my new focused research was born. I was going to prove that our current idea of mental toughness is flawed and directly leading to the decline in the mental health of athletes as they reach their breaking points.

My research this semester did not go as I had planned it to but, I am excited for the new path it has created for my research in the upcoming Spring 2023 semester as well as my research in the summer. I will be able to do a more in depth analysis of the win at all cost mentality as well as the effects of our perception of mental toughness.