Data Science Facilitating Polar Research

An image of a polar environment showing sea ice and glaciers.

Seeking student to help construct new database of polar change.

Project description

The Earth's poles are rapidly changing – glaciers are melting, sea ice is retreating, ocean currents are shifting – but characterizing this change is a huge task. One way is to create pre-historic baselines of past change so we can better characterize ongoing change. I am seeking students to help build a polar database of carbon ages that scientific communities use to reconstruct past changes in glaciers, sea ice and ocean currents. The student would work with me and my team of data scientists to help build up the database for public use. 

Project outcome

The outcome of this opportunity can be shaped by the student involved; a poster presentation on the project is an obvious deliverable. 

Learning outcomes

The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration. 

Project details

Timing, eligibility and other details
Length of commitment About a semester; 3-5 months
Start time Spring
In-person, remote, or hybrid? Hybrid
Level of collaboration Small group project (2-3 students)
Benefits Potential stipend
Who is eligible All undergraduate students 

Project mentor

Jason Briner

Professor

Department of Earth Sciences (Geology)

Phone: (716) 645-4326

Email: jbriner@buffalo.edu

Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 

Preparation activities

The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.

Keywords

earth science, data, computation, literature, computer science, data science