Nebula Fellows will be paired with a lab mentor (a graduate student or a postdoctoral researcher) who will provide training and guidance on their data analytics project, but Fellows are also expected to be proactive about learning new skills necessary for their project’s success. We expect Fellows to be present in the lab and dedicated to their project so that they will fully reap the benefits of this learning experience.
A list of resources has been compiled to aid Fellows with their data analytics project.
Fellows and mentors must attend the Nebula fellowship kickoff meeting to discuss program logistics, requirements, and goals. During this meeting, fellows and mentors will jointly complete a Project Commitment form to establish clear expectations of both parties for the project period.
Nebula fellows are expected to work ~10 hours per week (split between 2-3 days) on their data analytics project. They should conduct this work in-person or remotely as agreed upon with the lab mentor.
Fellows should coordinate with their mentor to ensure both parties are present in the lab at approximately the same time so that mentors are available to provide training, answer questions, and provide feedback and direction as needed.
Fellows and mentors should have regular weekly meetings to set assignments with clear deliverables and deadlines.
Fellows must complete all appropriate lab safety training.
Data analysis resources are provided by the Dean’s office to support Nebula fellows in their training on the Learning Resources page.
Fellows must track and submit their biweekly work hour logs through Workday.
Nebula fellows must give a final presentation of their data analytics project to the cohort. Mentors should provide guidance and feedback on their fellow’s presentation.
Fellows and mentors are asked to respond to feedback surveys from the Dean’s office at the beginning, middle, and end of the fellowship period.
If any problems are encountered during the fellowship, fellows can contact Alex Brozena (abrozena@umd.edu) or Elizabeth Lathrop (lathrop5@umd.edu) for additional guidance.