Application for Data Science Initiative Affiliates: Graduate students and Postdocs
The Data Science Initiative (DSI) is building a cross-cutting, interdisciplinary, campus community centered on the exciting area of Data Science. We invite graduate students and postdocs from any discipline who are involved in data-driven research to apply to the DSI affiliates program. We accept affiliates from across the University with varying backgrounds, experience and interest in Data Science, from the Humanities, Social Sciences to Math, Engineering, Biology, Epidemiology, Statistics, etc.

This is a terrific opportunity to learn from others about different aspects of Data Science ranging from new data technologies, software, programming languages and techniques, to statistical machine learning methods and visualization, to data ethics, governance, privacy and - most importantly - applications of Data Science. Being an affiliate complements your own program and provides an additional dimension and network. It brings together researchers studying Data Science interested in novel applications, and students pioneering the use of data-driven science within their fields.

Affiliates have priority registration for DSI workshops and have access to the DSI lab, a co-working suite in the UC Davis Library (Shields) which includes desk spaces, lounge areas, conference rooms, a classroom, and a kitchen area. The space is also furnished throughout with whiteboards and LCD screens and is the campus hub for Data Science resources. In addition to the physical space, affiliates will also be part of the burgeoning community of data scientists on campus. The community discusses new Data Science developments, brainstorms about projects, forms new collaborations, and helps with each other’s problems.

Affiliates are expected to actively participate in this multidisciplinary community by spending time in the DSI space and attending regular seminars and events. This is a great opportunity to strengthen your Data Science knowledge and skills, network, get career advice as well as input on your research, and collaborate in a multi-disciplinary environment. Active affiliates are eligible to apply for senior status and competitive GSR positions, research/travel grants, access to our compute server, and other select opportunities through the DSI.

Name (First Last) *
Your answer
Email *
Your answer
Status *
Department *
Your answer
Degree program (if graduate student)
Your answer
Who is your primary UC Davis advisor or mentor?
Your answer
Home university (if visiting scholar)
Your answer
Number of years in program/position *
Direct link to your CV *
Your answer
Link to your web page *
Your answer
Your GitHub account name (if available)
Your answer
Please describe your research (or research interests) in no more than 3 sentences. *
Your answer
How do you rate your proficiency in data science compared to your peers within your discipline? Your response here helps us to tailor our program offerings and does not necessarily impact your candidacy for membership or affiliate status. *
Please briefly describe what you mean by data science. *
Your answer
Briefly, what are your career goals? *
Your answer
Why do you want to be an affiliate? *
Your answer
Describe your education and background in data science. Please list any relevant courses you have taken or plan on taking at UC Davis (course name and number, year), and/or topics and location of any campus or external workshops or other training activities you have completed. If none, please write "none". *
Your answer
Describe how you see data science changing your discipline. How do you see yourself as a leader pioneering that, and/or other, changes using data science? *
Your answer
Provide a short "abstract" describing how you are using, or plan to use, data science in your research. If you have not started your research, think about a potential topic relevant to your field and its related data science challenges. *
Your answer
Here are some (but not all!) skills and tools used in data science. Please choose your proficiency for each of the following. Select all answers that apply per row. Your responses here help us tailor our program offerings and do not necessarily impact your candidacy for membership or affiliate status. *
Never heard of it
Heard of it
Attended a workshop on it or used it in a workshop
Attended a class on it or used it in a class
Did/used it for my research or job
Do/use it everyday
Taught a class/workshop on it, or a class/workshop that used it
Shell Command line
Version Control (e.g. git)
Geographical Information Systems (GIS)
Web scraping
Statistical modeling
Machine learning
Natural Language Processing (NLP)
Bayesian statistics
High Performance Computing (HPC)
Data Visualization
If you entered "Other" above, please describe it here.
Your answer
Describe specific skills you want to learn in data science, and to what degree of proficiency. *
Your answer
In what ways can you commit to engaging with the DSI this academic year: *
Definitely yes
Probably yes
Probably no
Definitely no
I'm not sure
Working in the DSI space for 2+ hours/week
Attending DSI un-Seminars
Holding DSI office hours (1 or more hours/week on a defined data science topic in your area of expertise)
Presenting at a DSI un-Seminar or affiliates brown bag seminar
Attending DSI workshops (typically Friday mornings)
Helping during DSI workshops
Developing and/or leading a DSI workshop
Leading an affiliates data science reading/learning group at the DSI
Participating in an affiliates reading/learning group at the DSI
Leading an affiliates project
Participating in an affiliates project
Mentoring undergraduate students
Attending DSI social events
Helping at the DSI (maintaining and adding content to the website; organizing events, activities; helping with symposia; seeking out new opportunities; etc.).
If you listed "yes" or "probably yes" for leading or participating in an affiliates reading group or project, list the topic(s) in which you are most interested:
Your answer
Please tell us anything else about yourself, your research, and/or how your presence will contribute to the DSI that you believe is relevant to this application.
Your answer
How did you hear about us? *
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