Categories
Publication Publications

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

Categories
Publications

Emerging Words that Matter: Data Analytics Creates Meaning

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.

Categories
Publications

Harnessing Soccer Team Dynamics for ArtSciLab Excellence

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. 

Continue reading…

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
Publications

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.

Categories
Publications

Social Connection Interspace: An XR Social Engagement Builder

Image by photoroyalty on Freepik

**** ****

June 10, 2024, By BENJAMIN SHEKHEY WU

…………… ……………

In this project, I built a platform designed to help people interact with others worldwide, but with the look and feel of being in the same room without language barriers in the Metaverse.

…………… ……………

Overview

With Social Connection Interspace (SCI), my groundbreaking platform powered by Virtual Reality (VR) and Large Language Models (LLMs), communication transcends borders and cultures, fostering real-time connection and understanding. The SCI virtual environment redefines collaboration and engagement. By harnessing the power of Mixed Reality, Artificial Intelligence, Blockchain, and Big Data, it creates a seamless experience where people can connect, share ideas, and reach consensus.

SCI is more than just a Metaverse platform, it is also a doorway to evolve the engagement ecosystem. This paper will share what I discovered and what is needed when building a Metaverse platform, including AI, hand tracking, and consideration of authenticity, how I prototyped all these elements to develop into one project, and how SCI can benefit users and future researchers moving forward.

Introduction

When building connections, would you rather do so in person or virtually? Most people receive greater benefits when interacting with others in the same physical place where they can make stronger connections than when meeting through a screen. Virtual meetings could make it more difficult to understand one another because people can only look at the upper part of their bodies and lack context and body language.

In larger forums, virtual meetings can also be constricting in that they only allow one person to talk at a time, prohibit side conversations, and put the speaker under a spotlight, which can be daunting to some and prevent them from participating in the meeting. Some of the advantages of my project include seeing an individual’s full characteristics within their environment in the meeting and having more convenient ways to brainstorm about a subject such as sharing a whiteboard.

According to the article, In Person vs Virtual Conference,

Responding or asking questions virtually is more impersonal and there may be less engagement between speaker and audience. With recorded sessions, the attendee cannot participate in real-time answer and question sessions.

In-person vs. virtual conferences

Read the rest of the paper here

Benjamin Wu

Game Developer and Animator

Benjamin Wu is a multi-talented game developer and animator who seeks innovation within the field. Completing his Bachelor of Science from Abilene Christian University he gained the knowledge and skills to work on projects within the field of digital entertainment technology.

Learning about the evolution of technology, inspired Wu that digital entertainment technology could be more than animation and game development. This led him to get his Master of Fine Arts from The University of Texas at Dallas, to learn more about the field and understand how to use it for inspiration and innovation moving forward.

Categories
Publications

INTERESTING INCOMPLETE IDEAS

I3 was born, representing Interesting Incomplete Ideas. As the lab geared up to celebrate its 10th anniversary in 2023, it provided the perfect opportunity to reconnect with lab alums. The primary goal was to extend invitations for the DecaDance, the milestone celebration, and to explore whether any alumni harbored intriguing ideas left unfinished. In reaching out to several alums, Misal engaged in captivating conversations. He aims to compile and document their I3s so that current and future lab members have a reference point to reach out to for inspiration if they find themselves pursuing ideas along similar lines.

Misal is a graduate student pursuing a Master’s in Finance at The University of Texas at Dallas. He also has a Master’s degree in the field of Physics. Moreover, he has research experience in the field of Atmospheric Science. He is a Financial Coordinator at ArtSciLab, promoting interdisciplinary collaboration across cultures and disciplines. He decided to study physics and finance because his interests lie in these two highly distinct fields: Cosmology and Investments. He believes both areas require a similar approach to analyzing data, identifying patterns, and making informed decisions based on evidence.

Categories
Publications

Artificial Art and its Implications

A stumble into Text-to-Image Neural Networks

This white paper covers how to get the images you want, how to tell if an image is generated, how to use it in the real world, and ethical and moral issues that arise from this technology.

If you ever wanted to express your ideas really fast, usually you’d make what we call a napkin sketch, something to write down the overall concepts so we can see if the idea is worth pursuing. The technology which he used helps create what he would consider very refined napkin sketches. Here is an AI model called DALL-E 2. It was developed by a company called OpenAI and the model generates images you want from a text or image input. What I have been trying to do is explore the limits as to what the tool can do, and the functionality of this. What are its implications?

One thing he noticed about this is that there are mainly two types of people who generate images. One from the first type would keep his prompts vague and use it to generate new ideas. The second type he call the shopping list prompters. One from this group would have an image in his head and use the AI to create it, listing as much detail as possible.

But how is this useful? He had a friend who he met from this interest get to the New York Times because he submitted one of his generations to an art contest and won. Inspired by this, he teamed up with a friend to make a demo game to show that you could get ideas for game assets with AI-generated art. He also plans on printing out stickers based off of AI generations but as of right now he does not have access to that technology.

Published on Oct 18, 2022

Published on Nov 22, 2022

Clement Lee likes to make illustrations, design, use artificial intelligence, and type. He is collaborating in the ArtSciLab and is studying in the field of Arts, Humanities, and Technology at UT Dallas.

Categories
Publications

The Voices of the Terrorized

To the Deceased and Survivors of Domestic Violence

This MFA thesis is about spreading the awareness of domestic violence that has risen since the beginning of the covid-19 pandemic. Photo montage videos will exhibit a variety of notecards that will shed light on a glimpse of survivors’ or their confidants’ thoughts after or during a critical predicament. By including graphic design images, I will show statistics on the drastic rise of domestic violence during and after the covid-19 pandemic. Through this creative project, I iterate on my initial participatory installation (2020). My installation creates a connection with survivors, their confidants, and viewers.

Taylor Green is graphic design artist born and raised in Texas. She has done logo designing, branding art, and editorial design while continuing her studies at the University of Texas at Dallas. Her values within my work are accountability, attention to detail, quality, transparency, collaboration, and continuous improvement. The visuals she create present a significant amount of detail and attention. Designing visuals can create an impact on those that come across the illustrations. The impact that she want to have on the community is positive and informative.

Categories
Publications

Students hiring Students

A CASE STUDY OF ARTSCILAB RECRUITMENT PROCESS

The “Student Hiring Whitepaper Version 2.0” details the findings of an experiment conducted by student lab participants to direct the recruiting and recruitment process with the extension of version 1 white paper. The lead author presents crucial insights that were learned during the hiring process to solve the questions concerning it and to encourage current and potential members in realizing its intricate nature. It explores the factors that are considered when employing students for the position of Communication Producer.

Rani is working towards her Master’s degree in Business Analytics with a preference for Data Engineering from The University of Texas at Dallas. She has experience in the industry through her work on academic and independent projects, and she hopes to become a Data Engineer or Software Developer. As ArtSciLab Manager, she collaborates closely with Dr.Roger Malina and Dr.Kathryn Evans and is working on several initiatives with ArtSciLab. Rani hopes to employ her analytical and management abilities to the advantage of the lab and the surrounding community.

Categories
Publications

The Public Space Designed by a Taiwanese Society

A case study for Taipei Expo Park of Street Dancer Occupying
Public Space

Occupying public space is a common action and dynamic among people. People can stay in a park occupying a bench for an afternoon or sit in a train station hallway waiting for the train. People could have many different purposes to occupy the public. Dancing in public spaces is an everyday activity in street dance communities. In the case of Taipei Expo Park, there are spots often occupied by street dancers for practicing or rehearsing their dance.

While Taipei Expo Park had met multiple times of transformations by the government for different uses and policies, these public spaces are originally not designed for the activity that street dancers do. This phenomenon shows there is a gap between the design of the space and its usage by people who enter it. Under the paradigm of designing public spaces, “community-building” (社區營造 Shequ Ying Zao) is one of the most popular terms in Taiwanese discourse on the topic of urban planning.

This paper seeks to understand how street dancers complicate the idea of community – building by reappropriating a space when they enter it, and what this means when an urban design plan does not meet the people’s needs, necessitating them to reshape the meaning of urban design. He want to raise street dancers in Taiwan as an example that challenges the meaning of this community-building interaction between the government and the people, and how this phenomenon shows the position of the dancers in the social hierarchy, which embodies the theory of Bourdieu’s cultural capital and symbolic violence

Chi-Peng Tsui was born in Taipei Taiwan. He started breakdancing in 2008. After he completed his associate program, he went to Tamkang University for pursuing a Bachelor of Arts degree, majoring in Mass Communications in 2016-2020. From 2016-2017, he entered Red Bull Energy Drink as a Marketing Intern. After he finished his degree in Mass Communications, he entered the Arts, Technology, and Emerging Communications graduate program for pursuing a Master of Arts at The University of Texas at Dallas.

Roger F. Malina is a space scientist and astronomer, with a specialty in extreme and ultraviolet astronomy, space instrumentation and optics. He served as director of the Observatoire Astronomique de Marseille Provence and was NASA Principal Investigator for the Extreme Ultraviolet Satellite project at the University of California, Berkeley. He is also a publisher and editor in the new emerging research fields that connect the sciences and engineering to the arts, design and humanities. Since 1982, he has served as Executive Editor of the Leonardo Publications at MIT Press. He founded, and serves on the board of two nonprofits, ISAST in San Francisco and OLATS in Paris, which advocate and document the work of artists involved in contemporary science and technology. He is currently a Distinguished Professor of Art and Technology and Professor of Physics, at the University of Texas at Dallas and Directeur de Recherche for the CNRS in France. He serves as the Associate Director of ATEC, and founded the ArtSciLab in the ATEC program fall 2013.