Date of Version: April 2 2025, Author: Chinedu Nnaji
Category: Publications
Aligning LLMs for Poetic Expression
In this white paper explore the development of FredTheHeretic (FTH), an LLM-based system for generating poetry in the style of Fred Turner. We examine the challenges of evaluating AI-generated poetry and propose alternative assessment frameworks beyond traditional NLP metrics. While implementing FTH as a Streamlit application, we discovered that conventional evaluation metrics fail to capture the essence of poetic quality. We review existing approaches to poetry evaluation from literature and propose a novel graph-based analysis method that maps semantic richness. This paper serves as a foundation for future work on memory frameworks that enable persistent learning across sessions and more sophisticated evaluation techniques for AI poetry
Lead Author: Mihir Dattatraya Hirave
Categories
ASL Rocket Launch
The ArtSciLab Career Development Plan (CDP) empowers students from diverse backgrounds and disciplines with personalized career strategies that ensure professional success. This initiative combines interdisciplinary collaboration, tailored goal-setting, and innovative methodologies to help students secure internships, develop hybrid skill sets, and obtain job offers before graduation.
- Lead Author -Mrigank Sharad Khare
- Contributing Authors-Roger F. Malina
Categories
Silver Ingenuity
Connecting UTD retirees with mid-career UTD students
To Enable Resilient Collaborations. Retirement is considered as the end of a chapter in one’s life rather than the completion of one journey. To empower those retirees who can no longer actively work but possess experience by involving them in our projects and creating meaningful connections
Read more below.
Lead Author– Mrigank Sharad Khare
Crowdfunding team members: Marten Weldon, Meron Getu, Mitchell Nicholas
The authors argue that the pandemic unveiled the complexity of societal systems, creating “emergent realities” where traditional norms are disrupted by technology and subjective perspectives. This shift has fostered “surrealities,” characterized by alternative realities influenced by AI and societal dissociation.
Authored by:
John McClellan Marshall and Roger F. Malina
Contributors:
Annick Bureaud, Alan Malina, Annalies Rainer, Jiri
Pleska, Una Dora Copley, William Fawley ,David
Graves, Klemens Polatschek, Richard Clar, Yuri
Malina additions by some of his friends-including
Fred the Heretic.
Categories
Harmony of Genes
Objective:
To construct and demonstrate an aesthetically pleasing tool for the eyes as well as an exploratory tool for the ears that integrates the massive database from NIH BLAST with an interactive model of the taxonomic “tree” of life. Since the genome of any organism is far too long to fully appreciate in a sequential approach and that DNA is a new source of meta data, this project is seeking to begin the process of unifying this data into an experience of genetics that is non-linear and educational. Does life echo
throughout the Earth? Can students learn to hear it?
“Man is always marveling at what he has blown apart, never at
what the universe has put together, and this is his limitation.”-Loren Eiseley
To continue more, Refer the whitepaper below
Authored by:
Jason K. Brogden,
Ariani Cindy Lopez,
Ethan David Phan
Oct. 8, 2024, By Priyangka Roy
This white paper explores the use of Natural Language Processing (NLP) techniques to analyze text data, specifically in the context of the concept of “Emergence”. NLP allows us to extract meaning, sentiment, and emotions from text, making it possible to understand how people define and discuss emergence further. The research uses word clouds, sentiment analysis, and emotion analysis to uncover patterns and trends, providing a deeper understanding of this complex concept. The expected findings include visual representations and insights into how emergence is understood and how these perceptions have changed over time. Eventually, this will provide us with emergent patterns from various domains such as healthcare, retail, social media e.t.c. Emergent patterns help businesses predict upcoming trends so that they can prepare themselves.
Introduction
The concept of “emergence” has captivated researchers from a variety of fields, including language studies, organizational behavior, and systems theory (Goldstein, 1999). The term Emergence describes complex behaviors that result from the simplest interactions within a system, often resulting in outcomes unpredictable from the individual elements themselves (Goldstein, 1999). For example, schools of fish and colonies of birds exhibit coordinated movements without a central leader in the natural world. Even though individual neurons are incapable of thinking, the collective activity of neurons in the human brain results in the emergence of thoughts and emotions (Silva, n.d.). However, the definition of emergence can vary based on the observer’s perspective. A theoretical physicist who utilizes advanced computational models, for instance, may see emergence as the gap between model predictions and the system’s actual behavior; it shows the fact that complex dynamics emerge beyond theoretical predictions.
Emergence can reveal a complex system. Emergence research clarifies how basic interactions within a complex system can result in collective behaviors that are both unanticipated and exciting. By looking at these patterns, we may better understand the complex interactions that occur between the constituent parts and the emerging whole—a notion that is important to many different fields of study.
Emergence patterns can be observed in various contexts emphasizing the complex dynamics that are present in systems. For example, individual ants in ant colonies follow simple foraging principles, which result in complex collective behaviors like building nests (Sumpter, 2005), and traffic flow shows how decisions made locally by drivers can contribute to emergent phenomena like traffic jams (Helbing & Molnár, 1995).
To better understand these emergent phenomena, we leverage Natural Language Processing (NLP) in our research. Natural Language Processing (NLP) is a fast-growing artificial intelligence (AI) field that focuses on enabling machines to understand, interpret, and generate human language. NLP techniques are used in text analysis to gain meaningful insights from large volumes of textual data. Among the various techniques utilized in text analysis, we used word clouds to summarize textual data by displaying words in different sizes based on frequency. Larger words indicate more occurrences. Additionally, we conducted sentiment and emotion analysis on poetry to explore how different emotional tones and sentiments contribute to emergent behaviors within the poetic text. Through this research, we can identify the emotional context of the poetry, which helps us understand how collective feelings influence themes and interpretations. This, in turn, contributes to the development of unique patterns and meanings. Combining word frequency with sentiment analysis helps us get a clearer picture of the complex interactions that lead to emergent patterns in textual data overall.
Continue reading…
Author
Priyangka Roy
Data Analyst
Priyangka Roy is a master’s student in Information Technology and Management at the University of Texas at Dallas. She is passionate about using data to provide actionable insights and translating complex information into clear and impactful visualizations that support informed decision-making.
Credits: Trainerswarehouse
Oct. 8, 2024, By Collins Mwange
Soccer, a sport known for its team-based dynamics and strategic play, offers valuable insights that can be translated into the functioning of a multidisciplinary research lab. The qualities inherent in successful soccer teams—such as teamwork, communication, strategy, adaptability, and resilience—can significantly improve collaboration, innovation, and productivity in research environments. This white paper explores the application of soccer team dynamics to enhance the operations of the ArtSciLab. By drawing parallels between the structured, collaborative environment of a soccer team and a research lab, this paper identifies key insights and outcomes that can be achieved. The recommendations include implementing clear roles and responsibilities, enhancing communication and coordination, fostering teamwork, continuous training, and adopting effective leadership styles.
Introduction
This white paper provides a comprehensive framework for improving the ArtSciLab operations by applying the principles of soccer team dynamics. It offers practical strategies research leaders can implement to enhance their teams’ productivity, collaboration, and innovation.
Effective research laboratory operations are crucial for knowledge advancement and innovation. A well-organized lab promotes efficiency, reduces errors, and fosters a collaborative environment where researchers can thrive. With the increasing complexity of modern research, it is essential to adopt best practices from multidisciplinary fields, including sports, to optimize lab performance.
Soccer teams exemplify high levels of coordination, communication, and teamwork. Each player has a specific role, yet they must work together seamlessly to achieve common goals (Rasheedi, 2024). The dynamics of soccer teams, including leadership, adaptability, and continuous improvement, provide valuable lessons that can be translated into research lab settings and improve the way the ArtSciLab operates.
Team Structure and Roles
Defining Clear Roles and Responsibilities
In both soccer teams and research labs, defining clear roles and responsibilities is fundamental. Each team member must understand their specific duties and how they contribute to the team’s overall objectives. This clarity helps prevent overlaps, reduces conflicts, and enhances efficiency.
Role Distribution in Soccer and Research Labs
Importance of Specialization and Versatility
Specialization allows team members to develop expertise in their respective areas, while versatility ensures they can adapt to different roles as needed. In soccer, players specialize in positions like defenders, midfielders, and forwards, but must also adapt to various game situations. For example, we have seen a player who plays as center half being deployed as a center back and performing very well. Similarly, researchers should specialize in their fields but remain flexible to support diverse project needs.
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Author
Collins Mbwika Mwange
DevSecOp Engineer
Collins Mwange is an MS Cybersecurity student at The University of Texas at Dallas (UTD). He is also a DevSecOp Engineer for the ArtSciLab (2024-25). In his free time, Collins plays soccer on and off campus.
See profile
Categories
ArtSciLab Report: Feb – May 2024
June 3, 2024, By Nikhil S. Chaturvedi
Introduction
This report provides a detailed analysis of ArtSciLab’s social media performance and audience engagement from February 2024 to May 2024. The sole purpose of this report is to understand the dynamics of our audience interactions and develop strategies to enhance our digital presence and engagement.
Analysis Importance
Audience Insight: Gaining more profound insights into the demographics and behavior of our audience across platforms like Instagram and LinkedIn helps tailor our content more effectively.
Strategic Decisions: Data-driven insights allow us to make informed decisions about when and what to post, ensuring maximum engagement.
Global Reach: Analyzing engagement from different countries aids in planning our international outreach, particularly as we expand our content into multilingual formats.
Report Objective
Track Growth: This helps us evaluate the growth in followers and interactions over the selected period.
Identify Patterns: Useful in analyzing patterns in audience activity, including peak times for engagement and demographic shifts.
Future Planning: We can use insights from the data to plan future social media strategies, particularly focusing on increasing engagement and expanding our international audience.
Strategy Success: It helps us identify whether our strategies are a successful implementation or if we need to make adjustments to our strategy; if yes, then how?
Read the rest of the report below.
Nikhil Chaturvedi
Marketing Manager
Nikhil Chaturvedi is pursuing his Master’s in Marketing at the University of Texas at Dallas. Specializing in brand strategy, research, and high-impact campaigns, he combines academic insights with practical experience. Nikhil is also committed to community service, focusing on aid for underprivileged communities.