OSCAR Celebration of Student Scholarship and Impact
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Carter School for Peace and Conflict Resolution Honors College OSCAR Undergraduate Research Scholars Program (URSP) - OSCAR US, Global, and Beyond

Blue Dog Bark: “God Talk” and Religious Cues by Centrist Democrats

Author(s): Drew Kolber

Mentor(s): Antti Pentikäinen, Mary Hoch Center for Reconciliation, Carter School

Abstract

The use of religious language by moderate Democratic politicians remains understudied despite extensive research on “God talk” among conservative Republicans. This gap is particularly significant for members of the Blue Dog Coalition, who represent constituencies with many “split ticket” voters; those who elected Democrats locally while voting Republican in the national election. Previous research has focused on coded religious cues in conservative political communication, primarily relying on media appearances and campaign rhetoric, while largely leaving House floor speeches unexamined. This study aims to analyze all 2,059 congressional floor speeches offered by the ten current Blue Dog Coalition members from the 116th through the 119th Congresses (2019-2025). It employs comparative content analysis alongside thematic analysis to capture both the frequency of religious language and the contexts in which it appears. Preliminary findings reveal that Blue Dog Democrats explicitly appeal to faith during commemorations of retiring or deceased constituents and colleagues, as well as when honoring mass casualty events. “God talk” – implicit, coded religious language – was found in references to community stewardship, heritage, and the value of “neighbors” in civic life. Blue Dog Democrats primarily deploy religious rhetoric during moments of change and loss, rather than in policy debates, suggesting a “Blue Dog Bark” focused on the virtue of associational life rather than partisan identity.

Audio Transcript

Hi there. My name is Drew Kolber, and today I’m so excited to share my research: Blue Dog bark: God Talk and Religious Cues by centrist Democrats. So what is God talk, and who are the Blue Dogs? So in the 1994 midterms, Republicans gained 54 seats in the house and eight seats in the Senate. It was the first GOP House Majority since 1952 and democratic moderates responded. Founding members of this caucus viewed the results of this election as a rejection of the Democratic Party moving too far left. And so in 1995 the coalition formed with 23 members and advocated fiscal responsibility, centrist values like pragmatism and really a dedication to the financial stability and national security of the country. Today, there’s 10 members of the Blue Dog caucus with a real local turn. There’s been a shift back to an emphasis on the specific values and needs the constituencies that these representatives represent. They focus on values like the right to repair, not taking money from corporate PACs and sometimes break party lines while holding to their espoused values, focusing on a place based politics, as opposed to a national one. What’s God talk? God talk is implicit, coded religious cues embedded in political communication, coded, particularly historically, for evangelical voters, without alerting out group members, is built on GOP operative David quo’s investigation in the 1980s into this strategy by conservative politicians to imbue subtle biblical references and hymn phrases and value statements which appeared innocuous to general audiences but really resonated with religious voters. And so this coded language relied on the receiver to infer political attachments. And as I shared, the predominant focus has been on the GOP and this evangelical constituency, but I feel that it’s obscured an important research gap, which is, how do Democratic politicians employ similar strategies? So these members of the Buddha coalition represent constituencies with many split ticket voters, people who elected Democrats locally while voting Republican in the national election, and this previous research was focusing on conservative political communication, and it didn’t look at the way that Democratic politicians were speaking. And so my study aims to analyze all the congressional floor speeches offered by the 10 current Blue Dog coalition members from the 116 to the 119th Congress is essentially the last five years, and employs comparative content analysis and thematic analysis to capture both the frequency of religious language and the context in which it appears, and I’ll share some of my preliminary findings later. So why is this question important? Church and State didn’t end their dialog at the establishment clause in the early years of our nation, the separation provided a mutual protection of each institution in which they weren’t held accountable for the failures or successes of each other, and provided distinct support systems for our country. And there’s a long lineage of thinkers and philosophers observing this rich tradition of associational life and religion in many different sects in the US, looking at Alexa de Tocqueville’s Democracy in America and the way that the Federalist Papers discuss the role of religion in the new nation, looking to more modern thinkers, Robert Putnam shared in 2000 that there’s a noticeable decline in social trust and associational Life. He talked about the Bowling Alone and people moving from bowling leagues to individual pursuits. And while I noticed this trend too, I also saw a prevalence in the collective social imaginary, this remaining presence of religion and religious language in politics. And I have my own experience with civil society and religion, as someone active in Jewish student life and Jewish community, and I was curious, how are politicians talking about religion? So to look at this question, I first had to determine my corpus. There’s a lot of different ways to look at political communication. You can look at tweets and newsletters. I wanted a really standardized way, and so I looked to ProQuest congressional and looked at the house floor speeches offered by this set of members of this Congressional Caucus. I also did some preliminary sense making using Max QDA, particularly content analysis, which tracked the frequency and context of key terms like biblical references and expressions of civil society and associational life, as well as thematic coding, identifying and interpreting patterns and then organizing around these themes, which is a prominent method of meaning making in conflict, analysis and resolution. So what did I find? The following are the word clouds of the most frequent terminology expressed by professor. Yes, by Representative Marie bus and camperez, Representative Jerry golden, Representative Lou Korea and Representative Adam gray. Each of these are current members of the House Blue Dogs and a really good start to my understanding of the Caucus’s way of speaking and their appeal to faith, because they really have this local turn this, this focus on the constituencies that they represent and their specific values, as opposed to a nationalized politics. And you can see community pops out even in the broader word cloud, representing the primary frequencies of the whole data set, there’s an appeal to associational life when it comes to service and honor and community and neighbors. These are terms that these representatives are using another way to visualize. This is their top most frequent words in this way. So what does this mean? Though, thematically, I noticed that the Blue Dogs appealed to faith when they were honoring retired or deceased colleagues or community leaders. I noticed that they appealed to faith in the response of mass violence or tragedy in their communities when they were expressing the value of religious freedom or honoring American culture. They also really appeal to faith when discussing military service and the notion of the ultimate sacrifice for those who died while in the service, and also, there was a prevalence of biblical imagery invoked in response to a perceived moral failing of their leadership. The following are some pulled quotes representing these various themes. Jared golden in remembering victims of a shooting in Maine in 2023 offered this daily devotional. Lou Correa and remembering the community member offered a prayer, may his memory serve as an example for all seeking to lead a happy and joyful life, may his spirit rest in peace. Marie Lucent kept Perez in honoring the survivors of a horrific fire in her district, talked about the strength of unity and community and neighbors. This term neighbors is a key term that I see over and over. Additionally, in referencing the impeachment of President Trump, Lou Correa talked about this idea of a shining city upon a hill, key biblical imagery and a call to
a greater America.
And these are, this is interesting. This is not how we might think moderate Democrats would speak. Then. This is pretty explicit, and yet, there’s also some of that coded God talk too. So there’s a combination of thematics and finds a really rich starting place to try to understand why did these politicians speak that way? And that’s what’s next, in order to understand why, we first had to understand how, how are they speaking? And that was the main object of this project. And I would be grateful to continue my research, to start to understand why, when it comes to the galvanization of voter constituencies when it appeals to faith are present or not,
and the ways in which these representatives speak.
So I’m so grateful to URSP, Oscar and Dr Karen Lee, my mentor, Antti, Professor Thomas Flores for his initial shepherding of my project. Professor Djupe for his guidance and language, and also Professor John Farina for his framing about the founders and their perception of faith in politics.
Thank you so so much.

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

Between the Nile and the silk Road: Rethinking global health for certain needs and Chinese traditional healing

Author(s): Hadil Ali

Mentor(s): Peiyu Yang, Department of Modern & Classical Languages

Abstract

Traditional medicine continues to serve as a primary form of healthcare for millions of people worldwide, particularly in the Global South. In Sudan, traditional medicine encompasses herbal remedies, spiritual healing, and community-based practitioners whose knowledge is deeply embedded in cultural, religious, and historical contexts. Similarly, Traditional Chinese Medicine (TCM) represents a highly systematized non-Western medical tradition grounded in holistic diagnostic frameworks and extensive herbal pharmacology.
This project investigates the historical and cultural intersections between Sudanese traditional medicine and TCM, with particular attention to educational exchange, medical diplomacy, and informal knowledge circulation between Sudan and China during the late twentieth and early twenty-first centuries. Drawing on Sudanese ethnomedical literature, TCM scholarship, World Health Organization policy documents, and studies of China–Africa medical cooperation, this research examines shared herbal practices, concepts of illness, and approaches to holistic care. The analysis is further informed by informal conversations with Sudanese and Chinese doctors and herbal practitioners, grounding the literature in lived experience.
Findings suggest that while both systems emphasize balance, harmony, and culturally embedded healing, they differ significantly in institutional power and global recognition. Whereas TCM benefits from extensive state support and international visibility, Sudanese traditional medicine remains under-documented despite its widespread use. By centering South–South medical exchange, this project challenges Western-centric narratives in global health and highlights the importance of recognizing indigenous healing systems in the development of culturally responsive health policies.

Audio Transcript

Hello, my name is Hadil Ali, and I’m a student in the Department of Biology at George Mason University.
My research project is titled “Between the Nile and the Silk Road: Rethinking Global Health through Sudanese and Chinese Traditional Healing.”
This project was completed under the mentorship of Professor Peiyu Yang.
This research explores how two long-standing non-Western medical traditions—Sudanese traditional medicine and Traditional Chinese Medicine—intersect through history, education, and cultural exchange.
Slide 2 – Background
Traditional medicine remains one of the most widely used forms of healthcare worldwide, especially in the Global South.
In Sudan, traditional medicine includes herbal remedies, spiritual healing, and community-based practitioners whose practices are rooted in ancient Nile Valley civilizations and Islamic traditions. These methods are not viewed as alternatives to medicine, but as trusted and culturally grounded healthcare systems.
Traditional Chinese Medicine, or TCM, developed into a highly structured medical system centered on holistic diagnosis, herbal pharmacology, and balance within the body. Today, TCM also plays a role in China’s global health diplomacy, particularly in Africa.
Despite extensive research on each system individually, little attention has been given to how Sudanese and Chinese traditional medical systems may have interacted through education and medical exchange.
Slide 3 – Research Question
This gap in scholarship led to my core research question:
How did Sudanese and Chinese traditional medical systems interact through educational and cultural exchange, and what does this interaction reveal about non-Western approaches to global health?
Rather than framing Sudan as a passive recipient of medical aid, this project explores how medical knowledge circulated between two non-Western traditions through lived exchange.
Slide 4 – Methods
This project uses a qualitative, document-analysis approach.
I reviewed literature on Sudanese traditional medicine, including studies of herbal pharmacology, spiritual healing practices, and the social roles of local healers.
I also analyzed scholarship on Traditional Chinese Medicine, focusing on its diagnostic frameworks and theoretical foundations.
In addition, I analyzed research on China–Africa medical cooperation, including medical aid programs, educational exchanges, and policy documents from the World Health Organization.
This work was complemented by informal conversations with Sudanese and Chinese doctors and herbal practitioners, which helped ground the academic literature in real-world practice and contemporary experience.
Using a comparative framework, I examined shared herbs, health beliefs, and diagnostic logics across both systems.
Slide 5 – Key Findings
Several key themes emerged from this research.
First, there is significant overlap in herbal practice, including the shared use of herbs such as ginger, galangal, gum arabic, and senna. These herbs are commonly used to address digestive, respiratory, and inflammatory conditions.
Second, both traditions emphasize holistic concepts of health, where illness is understood as an imbalance involving physical, emotional, social, and spiritual dimensions.
Third, there is a clear imbalance in visibility and institutional support. Traditional Chinese Medicine benefits from state backing, formal education systems, and global recognition, while Sudanese traditional medicine remains under-documented and marginalized in academic and policy discourse.
Finally, the literature reveals a notable absence of grassroots perspectives from Sudanese healers and Chinese students, leaving many lived experiences unrecorded.
Slide 6 – Why This Matters
This research challenges Western-centered models of global health that privilege biomedical knowledge while sidelining indigenous healing systems.
By focusing on Sudan–China exchange, this project highlights South–South medical interaction and the ways healing knowledge circulates outside dominant Western frameworks.
Recognizing traditional medicine as legitimate and culturally meaningful has implications for global health policy, medical education, and patient care—especially in culturally diverse settings.
Slide 7 – Conclusion and Acknowledgements
In conclusion, Sudanese and Chinese traditional medicine share overlapping herbal knowledge and holistic approaches shaped by centuries of cultural exchange, trade, and diplomacy. Yet the contributions of Sudanese traditional medicine remain largely undocumented in global health narratives.
Future work will expand this project through oral histories and digital storytelling to better capture these underrepresented perspectives.
I would like to thank Professor Peiyu Yang, George Mason University, and the Undergraduate Research Scholars Program for supporting this research.
Thank you for listening.

Categories
OSCAR US, Global, and Beyond

Mapping Sino-Arab Solidarity: Cultural Exchange and Decolonization, 1949–1969

Author(s): Reel Eltayeb

Mentor(s): Peiyu Yang, Department of Modern & Classical Languages

https://youtu.be/

 

Abstract

Title: Mapping Sino-Arab Solidarity: Cultural Exchange and Decolonization, 1949–1969
Abstract:
This project explores the cultural and political dimensions of Sino-Arab solidarity from 1949 to
1969, a period marked by global decolonization and shifting alliances. While most existing
scholarship focuses on China’s contemporary role in the Middle East, this research highlights
earlier connections through literature, journalism, and cultural diplomacy. Drawing on
multilingual sources in Arabic, English, and Chinese, the project examines how state and popular
voices represented solidarity across political, literary, and visual media.
Using a digital humanities approach, I am building an interactive ARCGIS story map that
visualizes key exchanges between Arab and Chinese intellectuals, writers, and leaders. The
methodology includes archival research at the Library of Congress, OCR text recognition, and
text mining (RegEX) to identify recurring themes such as nationalism, gender, and postcolonial
identity. Each archival entry is annotated and linked with historical metadata to show how
narratives of solidarity evolved across regions.
This project not only reconsiders Cold War history from a South–South perspective but also
combines technology and humanities to make these narratives accessible to a wider audience. It
reflects my broader interest in connecting cybersecurity, digital tools, and global history to better
understand how technology shapes the way we preserve and share transnational memory.

Audio Transcript

Categories
College of Science OSCAR US, Global, and Beyond

What Makes Dark Matter Halos Dark

Author(s): Omar Aljebrin

Mentor(s): Ferah Munshi, Physics and Astronomy

H

Abstract

We investigate the factors that determine whether dark matter halos form galaxies using the Marvel-ous Dwarfs and DC Justice League zoom-in simulations. By analyzing halo occupation fractions, mass accretion histories, halo concentrations, and gas properties, we find that halo mass alone is insufficient to explain why some halos remain dark. Luminous halos grow faster, achieve higher concentrations, and retain dense, cool gas, enabling star formation. Dark halos grow more slowly, remain less concentrated, and have lower gas densities and higher gas temperatures, preventing efficient cooling after reionization and leaving them dark. These results highlight the interplay between dark matter dynamics and baryonic physics in shaping galaxy formation, demonstrating that mass growth, halo concentration, and gas content collectively determine whether a halo hosts a galaxy.​

Audio Transcript

17:37:02 Hello, everyone. Today, I’ll be talking to you about what makes some dark matter halos dark.
17:37:07 So, first of all, what is dark matter? Dark matter is like any other matter, but…
17:37:13 It’s invisible, it cannot interact with normal matter that we see and touch,
17:37:18 Like, it can’t bump into it, or you can’t feel it.
17:37:23 Um,
17:37:25 And it only interacts through gravity.
17:37:28 So, it can only pull things
17:37:30 using gravity.
17:37:32 And…
17:37:34 Dark Matter Halos is just a clump of dark matter that has collected together.
17:37:40 And from now on, I’ll just call it Halos.
17:37:46 And these halos is…
17:37:48 is the environment where galaxies are made.
17:37:52 But… sometimes galaxies aren’t made.
17:37:56 In those halos, and those are called dark halos. Dark Halos. And for the ones…
17:38:02 that galaxies do form in, those are called luminous halos.
17:38:06 So, the goal of my research is to figure out
17:38:09 what leads to these halos?
17:38:12 not forming any galaxies? What properties, what events?
17:38:17 created? Like, why…
17:38:19 Do these halos have galaxies, and these don’t?
17:38:23 And…
17:38:25 my method to look at… to do that is using, um…
17:38:30 large cosmological simulations.
17:38:34 simulations, uh, that are called
17:38:36 marvelous dwarfs and DCGL.
17:38:39 DCJL standing for DC Justice League.
17:38:46 These were made by…
17:38:49 Dr. Munshi and her colleagues.
17:38:52 Um…
17:38:54 using the simulation, it provided various datas about dark matter halos, their properties,
17:39:01 And I was able to utilize this data to track certain, um,
17:39:07 patterns of dark matter halos.
17:39:10 So, for my first plot,
17:39:12 I’ve calculated the halo occupation fraction versus the maximum
17:39:19 mass, a halo has ever had.
17:39:21 So the Halo occupation fraction is basically saying, okay, for this amount of halos,
17:39:26 Um, how many of them are luminous divided by the total
17:39:30 amount of, um, halos.
17:39:33 And from what you see is…
17:39:34 From the right end… from the right end, from the large end of the mass.
17:39:41 It’s 100%, one, at the top, and then…
17:39:46 Uh, some of… they… they begin to decrease.
17:39:50 And the decrease is gradual, but…
17:39:52 you’ll see that all these simulations have different…
17:39:56 point of mass where that halo occupation decreases.
17:40:00 Which tells us that because their masses
17:40:04 vary for that critical point. That means that halo mass, or halo peak mass, isn’t enough to tell us.
17:40:10 About why some dark… some…
17:40:13 halos don’t form galaxies.
17:40:17 So then, uh, I look at the mass assembly history of the halos, how fast they gain mass.
17:40:24 And what I find that luminous halos
17:40:27 were… or the one that made Galaxies gain mass really fast. Faster than dark halos.
17:40:33 And, of course, the Dark Hills.
17:40:35 didn’t gain mass as fast.
17:40:37 Which could explain why
17:40:40 Dark Halos are… don’t make any galaxies, because they couldn’t accumulate…

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

Game-Theoretic Analysis of International Pollution Policy

Author(s): Andrew Dara Or

Mentor(s): Moon Joon Kim, Economics, Mason Korea

O

Abstract

International pollution policy consistently fails to achieve meaningful emissions reductions, not because states lack environmental concern, but because the strategic structure of global cooperation rewards defection. This project applies game-theoretic analysis to explain why voluntary climate agreements break down and identifies the mathematical conditions under which cooperation becomes rational. Using a formal payoff model, I show that a country will only cooperate when the sum of sanctions and its discounted share of global climate benefits exceeds the domestic costs of mitigation and the gains from cheating:

+

(

)

+

.
s+αPV(B)≥c+g.

A key finding is that the Social Discount Rate (SDR) plays a decisive role in shaping this inequality. Higher SDRs sharply reduce the present value of future climate benefits, making defection the dominant strategy. Real-world policy behavior in the United States aligns with this model: high SDRs corresponded with withdrawal from the Paris Agreement, while lower SDRs accompanied renewed cooperation.

Case studies of the Montreal Protocol and Paris Agreement demonstrate that successful treaties alter incentives through sanctions, financing, and monitoring. The analysis also incorporates recent evidence linking pollution to declining political participation, revealing a feedback loop that undermines enforcement. Collectively, these results highlight the need to redesign treaty incentives, lower discount rates, and reduce free-rider gains to enable durable climate cooperation.

Audio Transcript

Hello, my name is Andrew Or. I am a junior economics major at George Mason University, and for my USRP project. I will be presenting game theory analysis of an international pollution policy. 
My research question is why do global pollution agreements so often fail and how can game theory help us design policies that may actually succeed? Although climate change is usually described as an environmental or scientific problem, at the international level, it is fundamentally a strategic problem. Every country benefits when global emissions fall, but the cost of reducing those emissions are domestic, immediate, and politically painful. 
This misalignment between national incentives and global welfare explained why international cooperation has been so fragile and why so many treaties fail to produce real emission deductions. Game theory provides a powerful framework for mostly the incentive structure that drives state behavior and for identifying the policies needed to shift the equilibrium towards cooperation. Pollution mitigation is a global public good. 
It is non-excludable, and it’s non-rival, because benefits are shared globally while costs are paid individually. States based a strong incentive to free ride. This is the core collective failure in global climate politics. 
Clever negotiations resemble a repeated prisoner’s dilemma. If both countries collaborate, the world achieves the best outcome. However, if each country gains by defecting while the other cooperates, and mutual defection becomes a stable equilibrium. 
This is why voluntary agreements without enforcement consistently underperform. The payoff matrix illustrate this problem. Cooperation requires immediate national cost, defection, offers short-term economic gains, cheaper energy, and competitive advantage. 
Because of benefits of reduced pollution are long term and global, individual states rarely find cooperations rational to their own. This structure creates bias towards defection. The key variable to achieving cooperation is social discount rate. 
In the United States during Trump’s 1st term, the social discount rate was from 3 to 7%, while during the Biden administration, the rate range from 2.5 to 5%. From a 2023 article by BRG, the recommended SDRs by economist is 2 to 3%. For environmental decisions because higher rates undervalue future climate stability. 
Under the higher Trump SDR, the U.S. withdrew from the Paris agreement, halted green climate fund contributions and scaled back multilateral climate commitments. This behavior is fully consistent with the cooperation condition where high SDR equals lower PVB and defection becomes rational. Under Biden administration, the US rejoined the Paris agreement, resume GCF contributions, and renewed climate diplomacy. 
Cooperation become more rational, once future benefits were valued appropriately. The 2 main case studies I chose to observe were the Montreal Protocol and the Paris agreement. The Montreal Protocol is the clearest example of a successful treaty because it altered the payoff structure. 
Severe trade sanctions raise the cost of defection, the multilateral fund reduced the cost of compliance for developing states, and strict verification, reduced cheating gains, or free rider problems. Countries including the US, China, and India had strong incentives to comply because the treaty satisfied these conditions. The Paris agreement, on the other hand, lacked sanctions, binding targets, hard monitoring, or enforcement mechanisms, and major emitters have expanded coal use or failed to meet pledges because of this. 
I generated model that will help represent this in action, and these are the variables I will use for clarification. The payoff from cooperating is the present value of long-term global climate benefit minus the domestic cost of mitigation. And the payoff from defecting is the cheating gains or free rider gains minus the sanctions for defection. 
A state only has incentives to cooperate if C is greater than or equal to D. Based on the information from the US, I created a mock graph to help better represent this model. Defection is the predicted equilibrium, not a political accident. Cooperation emerges only when treaty shipped incentives, high SDRs mathematically erase long-term climate benefits, U.S. withdrawal and reentry match the model’s predictions, successful treaties share sanctions, financing, and verification mechanisms. 
Game theory shows that international pollution policy does not fail because states are rational, it fails because strategic architecture rewards defection, to make cooperation rational, we must reshape the payoff matrix. There are 3 clear solutions. One is to raise sanctions and increase S, 2 is to reduce the free rider incentives by reducing G, and 3 is to reform discount rate policy lowering R. 
Evidently, this research is not finished as there is many more variables to explore. I would like to express my sincere gratification to the USP for provide me with the opportunity to present and further my research, and I’m also grateful for my mentor, Professor Moonjun Kim, for his guidance and support through the project.

Categories
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

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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.

3
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.

4
00:00:57.280 –> 00:01:01.840
Tugce: And they reveal a lot of information about a region’s new geography.

5
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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00:01:39.040 –> 00:01:51.910
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.

10
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

12
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.

Categories
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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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.