Data Science In Oceanography
The School of Oceanography is committed to providing undergraduate students opportunities in data-driven research in oceanography. Students participating in the summer program interact closely with faculty and graduate student mentors on data-focused research projects and learn about presentation skills, scientific writing, and graduate school applications. The program also organizes fun activities in the Seattle area, such as hiking, sailing, kayaking, and exploring the city downtown and nearby islands. All participants are provided with on-campus housing, meals, and partial travel reimbursement. Undergraduate students with programming experience and interests in oceanography are encouraged to apply. We are particularly eager to provide research and mentoring opportunities to historically underrepresented groups in STEM.
Apply: applications will open in March 2023
2022 Summer Program (Aug 8-26) [Flyer]
- Charlene Ruiz, UC San Diego
- Sara Delawalla, Georgia Institute of Technology
- Jennifer Dunstan, University of Cambridge
- Anuj Jain, UC San Diego
- Xinjin Li, University of Illinois Urbana-Champaign
- Eddie Franco, Boise State University
- Sandy Wu, UC San Diego
- Jinting Liu, University of Washington
- Yiran Li, Univerisity of Washington
- Mariam Garcia, UC Irvine
- Noah Barton, UC San Diego
Graduate student mentors: Katherine Qi, Zoe Krauss, Maleen Kidiwela, Cassia Cai, William Kumler, Scott Martin
Postdoctoral presenters: Yang Xiang, Marin Cornec
Faculty mentors and lecturers: Alison Gray, William Wilcock, Jodi Young, Randie Bundy, Georgy Manucharyan, Maike Sonnewald, Rick Keil
Python tutorial developers: Georgy Manucharyan, Katherine Qi, Zoe Krauss, Maleen Kidiwela, William Kumler, Scott Martin, Zachary Erickson
Special thanks to:
The Data Science in Oceanography program was amazing. We learned about all areas of oceanography and put it into practice using interesting coding tutorials. We joined OceanHackWeek and had the chance to work on real-life projects with people working in the field. It was also such a great group of people, and I loved exploring Seattle and doing all the fun activities organized with them. I would recommend it to anyone interested in science and research!
I really like the second week that we learned new data analysis tools and packages. I see the strong power behind creative methods to do visualization. And various panel sessions to help me know how the real industry works, in which case I know deeply how data science works in fun parts for oceanography. Besides, getting in touch with how data analysis in general oceanography fields through tutorials is extremely helpful for me to validate my skills. The mentorship is also helpful and nice! I collaborated with others on clustering projects effectively, which brings me a feeling of achievement when doing presentations.
I spent an amazing three weeks in Seattle with some great people and great oceanview! I have learned the different branches of oceanography as well as data visualization and machine learning which are super useful for my future career. I also love meeting and working with people from all around the world who share the same passion. Professor Georgy and his Ph.D. students are proficient, accessible, and patient, and they are always there to support and help you. I would highly recommend this program to people who have interests in oceanography or data science. Thank you so much for the interesting and memorable experience!
The data science in oceanography program was a really meaningful experience for me. I came in with an interest in data science and oceanography, and the program helped develop those interests by giving informative lectures on different aspects of oceanography (e.g. physical, chemical, biological etc.) and tutorials where I can apply my coding skills. I’m glad that the program had people from diverse backgrounds so that everyone could teach others something and learn something from others. The program supported and encouraged collaboration, so I worked on a project in a group. I appreciate this cooperative environment since we can bring together different perspectives and expertise to achieve better results. I benefited a lot by sharing codes, exchanging ideas with my group members, and asking for their feedback and suggestions. Not only did I expand my toolkit in terms of coding, but I also learned to think of problems in a different and potentially more efficient way. Overall, it was a meaningful experience for me and I really recommend attending this program!
This program opened my mind to the myriad of possibilities at the intersection of oceanography and data science. I got to work hands-on with very knowledgeable mentors to solve complex and interdisciplinary problems. Strongly recommended!
Being a rising sophomore, this program acted as a stepping stone to making research projects for me. The tutorials were well-designed and challenged my analytical skills. There was always someone from the team to help me when I was stuck. The knowledge, experiences, and skills shared by professors at UW are highly valuable to me. OceanHackWeek gave me an opportunity to collaborate with other students and work constructively. Not to mention, I enjoyed exploring Seattle with my peers.
Thank you so much for giving us a fantastic experience!!!
Frequently Asked Questions
- installing new packages, loading modules,
- if-statements, for-loops,
- manipulating the data stored as lists, dictionaries, and numpy arrays
- working with data stored as pandas data frame
- defining functions
- plotting basic figures with matplotlib (like plot, scatter, imshow, contourf),
- writing code in Jupyter Notebooks,
- basic terminal commands for creating text files, moving files and folders around, downloading a file using url links
- using Git and GitHub to save all versions of your code online (this is needed as we do team projects)