This event has ended. Visit the official site or create your own event on Sched.
The CNI spring 2020 in-person meeting has been canceled but we are developing a virtual meeting. Please visit the CNI meeting website for updated information.
Meeting registrants have received information on how to sign up for live webcasts (to take place between Monday, March 30 and Friday, May 29). Videos of most participating project briefings will be made available publicly as soon as possible. Please contact diane@cni.org if you did not receive this information and believe you should have.
Visit https://www.cni.org/mm/spring-2020 for more information.
Twitter: #cni20s
Looking for a specific timezone? We have it covered...

Back To Schedule
Monday, May 4 • 2:30pm - 3:00pm
Building Data Science Support Capacity through Graduate Fellowship Programs

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Data science is an interdisciplinary endeavor, merging techniques from computer science and statistics with domain-level concepts to increase discovery through data analytics and visualization. Supporting researchers in their data science needs is a key strategic challenge identified by CNI, especially as training needs in data science often exceed the supply. Capitalizing on domain knowledge and data science expertise in the graduate student population, we created a fellowship program, the Data Science Ambassadors, to connect campus researchers with in-demand data science resources. Graduate students’ ability to “speak the same language” as researchers in their respective domains reduces the communication barrier many researchers face when learning data science applications. The program provides structure, training, and a modest stipend in return for students’ time and expertise. The interdisciplinary nature of data science is reflected in a diverse cohort of students, which includes scholars in the humanities, social sciences, life sciences, and physical sciences. This program has afforded several points of contact and opportunities for campus data science support while fostering the growing network of data science practitioners. In this talk, we discuss the challenges and opportunities of such a program, exemplified by our program at the University of Arizona.


Jeffrey C. Oliver

Data Science Specialist, University of Arizona

Monday May 4, 2020 2:30pm - 3:00pm EDT