As Data Science is an interdisciplinary field, the Data Science TRAIn Lab will actively seek to have lab members with a wide variety of expertise and interests. Successful lab members will be motivated students who are enthusiastic about learning new skills and who are intrigued by the unknown. The lab will consist of members 1) who have a strong interest the fields of data science and machine learning or 2) who have a strong interest in a particular domain (art, music, political science, economics, fashion, etc) and questions arising from that domain that could be answered using data science and machine learning techniques.
Prospective lab members will need to apply to be in the lab. The application will have 3 parts: a written section, an interview, and a reference check. Prospective lab members will be asked to read about and reflect on the purpose of the lab. They will be asked to demonstrate their enthusiasm for learning beyond individual assignments and to discuss what they are excited about exploring in this lab.
Prospective lab members will be asked for references who support their application into the lab. There are two options for submitting references. Option 1: Students submit two references. Option 2: Students submit one reference, attend an open lab meeting, and meet with a current dsTRAIn member.
The lab is not accepting applications at this time.
Lab members will be chosen based on the following guidelines:
1) Motivation beyond assignments
2) Enthusiasm for learning
3) Willingness to try new things and ask questions
4) Strong interest in either or both:
a) The fields of data science and machine learning
b) A particular domain and questions from that domain that can be addressed using data science or machine learning
Lab members who have been accepted to the lab may choose to stay active in the lab as long as they would like. Lab members must commit to the lab at least one week before the start of term. Any lab member who has participated in the lab for at least one term and who chooses to become inactive for at most 2 terms does not need to reapply to the lab, but longer periods of inactivity will require reapplication into the lab.