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Join us this fall for our online, pay-what-you-can, wildlife-based coding workshops! Our Terranaut Club President and resident coding expert Danielle Quinn will lead participants through exciting data science and coding activities related to real topics in marine biology and wildlife conservation.
Participants must be girls+ (girls or under-represented genders) who are 9 – 18 years old, live in Atlantic Canada, and have access to a computer and good wi-fi connection. These workshops are pay-what-you-can, and a donation can be made at the time of registration. While our suggested donation is $20, we welcome any amount, larger or smaller.
Junior (ages 9 – 12)
This workshop will introduce data and data collection using Canadian shark and skate species as an example. We’ll learn about how coding is used in shark research and conservation, and use our data to code simple charts and maps. Lastly, we’ll learn about careers in marine conservation research. No prior knowledge needed! 10 seats. 2.5 hours including a 15 minute break.
Intermediate (ages 12 – 15)
This workshop will focus on data science and communication in wildlife conservation, or how we study wildlife and how we share that research. We’ll do some coding in the programming language R to explore and analyze real wildlife data, including calculating different measures and making graphs and figures. We’ll learn about real applications of data science and communication in wildlife conservation, like dashboards and apps, and discuss a variety of careers in wildlife conservation. No prior knowledge needed! 10 seats. 3 hours including a 15 minute break.
Advanced (ages 15 – 18)
This workshop will introduce how machine learning (or teaching computers to learn) is used in marine biology. We’ll use real coastal shark and yellow ray data from our friends at Field School in Miami, Florida, to learn about different applications of machine learning in marine conservation research, and do some simple coding of statistics in the programming language R. We’ll also talk about careers in machine learning and marine biology. No prior knowledge needed! 10 seats. 3 hours including a 15 minute break.