Coding drifter data for classrooms: developing Jupyter notebooks
Mentors:
Samantha Ouertani and Rayne Sabatello
Samantha Ouertani is a Research Associate II at the University of Miami’s Cooperative Institute of Marine and Atmospheric Studies and NOAA’s AOML. She is a part of the Global Drifter Program’s Data Assembly Center, developing an ERDDAP server for drifter data. She will also work to improve the user interface and hopes to increase data accessibility.
Rayne Sabatello is the Communcations Specialist for the Physical Oceangraphy division at NOAA's AOML. She specializes in science communication through writing, social media, and web development.
Format:
Hybrid
Brief description:
The student will develop a suite of Jupyter Notebooks (Python-based) for classrooms in the Adopt a Drifter Program to further visualize drifter data. For example, a script that can plot the seasonal shifts in sea surface temperature. Scripts will need to vary in education level, i.e. elementary school, middle school, high school, undergraduate audiences. Create accompanying lesson plans for the Jupyter Notebook scripts. The student will learn the value of drifter data, effective coding practices, as well as educational directives by following the Next Generation Science Standards for the lesson plans.
Prospective applicants should have previous coding experience and/or willingness to learn Python, the ability to work independently with limited supervision while communicating with a team, and is equipped with proficient troubleshooting, time management, teamwork, and communication skills.
