Data Science Project Interest
We're very glad you're interested in joining a data science project with the Data Science Institute. Please fill out the following form giving us some additional information about your interests and background. There are two rounds of applications. First Round applications will be due on Sunday, December 11 at 11:59pm students applying in the first round will have a better chance at being accepted into the project of their choice. Second Round applications will be due on Sunday, January 15th at 11:59pm. Project run for one semester, beginning on the first day of classes, and ending on the last day of classes. We'll notifying everyone Tuesday, January 17, by the end of the day!
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Email *
Participant Information
A little about you!
Last Name *
First Name *
Project Interest: Selections *
Check all boxes for the projects that you're interested in joining. If you select multiple projects, use the next question to fill in your highest ranked project choice. You can add additional information about your selection in the following box. The required and preferred skills are noted below, with course equivalents indicated for undergraduates:

Learning New Languages: East Asian Studies
Ever tried to learn a new language and found yourself studying vocabulary that wasn't helpful for you? In this project, you'll use NLP, web scraping, and deep learning transformers to build better vocabularies for new language acquisition in Hindi. Lead: Umang Chaudhry
Required: Python (preferred: CS 2204 or above), Transformers/deep learning, Huggingface Datasets or related, Familiarity with Hindi or other uncommon languages

Women's Basketball
In this project, you'll continue building a dashboard to help coaches and trainers better tune their training strategies for peak athletic performance of athletes. Lead: Umang Chaudhry
Required: R, Python; R Shiny; API integration, familiarity with Python requests package, json;
Preferred: Familiarity with anomaly detection

Narrative Arc
Have an interest in mathematics, programming, and studying the trajectories and evolution of stories? In this project, you'll contribute to discovery of new deep learning methods for mapping the behavior of stories. Lead: Jesse Spencer-Smith
Required: Python (CS 2204 or above), transformers, Huggingface datasets, APIs

Transformers for Legal Documents
Have an interest in the law and developing deep learning models and strategies to meet common tasks? In this project, you'll train a deep learning model for a number of law-related tasks. Lead: Charreau Bell
Required: Python (CS 2204 and above); transformers; strong ability to read, interpret, and use APIs
Preferred: Huggingface datasets

Ancient Mortars
In this project, you'll use deep learning and transformers to create a model to identify particles composing ancient structures. Lead: Abbie Petulante and Charreau Bell
Required: Python (CS 1100 and above), transformers
Preferred: Python (CS 2204 and above)

Understanding Musicians in Nashville
In this collaboration with the Arts and Business Council in Nashville, you'll build a dashboard to clearly convey survey results from musicians with their own businesses in Nashville. Lead: Charreau Bell and Jesse Spencer-Smith
Required: R (DS 3100 and above or >1 classes that used R), Shiny or experience with Reactive user interfaces, skill in data visualizations
Preferred: DS 1000 or above; CSET, PSCI, or other courses in visualization; user interface/user experience development

Deep learning with EEG Data (Exploratory)
On this project, we'll prepare EEG data for modeling with deep learning transformers to better understand responses from a human subjects trial. Lead: Charreau Bell
Required: Python (DS 1100 and above); strong ability to read, interpret, and use APIs
Highly preferred: Python (CS 2204 and above), deep learning transformers, Huggingface datasets, experience with EEG or other signal data (e.g., EE, BME majors)

Deep learning with Laser Infererometer Gravitational-Wave Observatory (LIGO) Data (Exploratory)
On this project, we'll prepare LIGO data for modeling with deep learning transformers to understand gravitational waves. Lead: Jesse Spencer-Smith
Required: Python (DS 1100 and above); strong ability to read, interpret, and use APIs
Highly preferred: Python (CS 2204 and above), deep learning transformers, physics and astronomy majors, Huggingface datasets, experience with LIGO or other signal data (e.g., PHYS, EE, BME majors)

Deep learning with fMRI Data (Exploratory)
On this project, we'll prepare fMRI data for modeling with deep learning transformers to better process fMRI data
Required: Python (DS 1100 and above); strong ability to read, interpret, and use APIs. Lead: Charreau Bell
Highly preferred: Python (CS 2204 and above), deep learning transformers, Huggingface datasets, experience with fMRI or other signal data (e.g., EE, BME majors)

AI Storybook
On this project, we'll train a transformer model to generate questions from stories to support parents in developing strong reading, comprehension, and reasoning skills in their children. Required: Knowledge of transformer models, especially GPT-style, OR background in education and reading. Lead: Jesse Spencer-Smith 
Required
Project Interest: Details and Other *
Please select the project name that you're most interested in here, especially if you have indicated multiple projects.
Project Involvement *
Each project has multiple individual contributors who code, work with data, train models, etc., AND has one project manager who tracks the work, keeps the agile process running, and helps run the project. Which role are you interest in for the projects indicated above?
What other role(s) do you expect to fulfill on the project? Please select no more than two. *
Our teams usually have participants who take on one or two roles.  Our participants are usually project assistants, domain participants, domain participants who actively code (even those who have never coded before!), or active coders who are also the project team lead. Role descriptions are as follows:

Technical team lead: You are highly technically skilled and want to: write code, train others in data science tools, and contribute to the solution strategy
Domain knowledge: You know about, are majoring in, or are an expect in the topical research area
Other project knowledge: You currently manage a database or a relevant software system for the project 
Required
On average, how many hours do you plan on dedicating to the project each week this semester outside of the meeting times of the project? *
Projects usually have 1.5 - 2 hours of meetings per week max, with a 45-60 minute demo session at the end of the week.
Programming background *
Please briefly describe your background programming and the language(s) you've used. If you multiple years of experience, feel free to simply state "multiple years". This will help us build a team with a good skill mix from beginner to expert. 
Other data science background
Please share any background you have in data science--projects you've worked on, internships, jobs, or any other experience you'd like to share. 
Deep learning experience
Please briefly describe any background you might have working in deep learning. Not all projects employ deep learning, but knowing your skill level will help us build a balanced team if it does. 
Project Skills *
Please indicate all skills for which you've had instruction, including through VU courses, DSI workshops and intensives, clubs or other:
Required
GitHub username *
We'll use GitHub for collaboration and project management.  If you don't already have an account, visit https://www.github.com to create one, and enter your username here.
Position/Title *
If you're currently affiliated with the PI/Owner of this project, enter your position in the field below.  This can be your company position.  If you're a student, you can enter "lab member", "research assistant", or similar.  If you're unaffiliated with the PI (e.g., a recruited technical member from the DSI), you can write "student".
Is there anything else you'd like us to know while considering your application?
If you don't have some of the pre-requisites or have a particular background or passion for a particular project, this is a great place to provide more explanation!
Organizational Affiliation *
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