Call for applications: Summer School on Computer Vision Methods for Ecology

Call for applicants for the first annual Resnick Sustainability Institute Summer School on Computer Vision Methods for Ecology

Date published: 2021/09/24

We are thrilled to announce the call for applicants for the first annual Resnick Sustainability Institute Summer School on Computer Vision Methods for Ecology (https://cv4ecology.caltech.edu).

This intensive, three-week program will teach applied computer vision methods to senior ecology graduate students and postdocs, and will be hosted at Caltech from August 1-20, 2022. Students will develop hands-on computer vision systems to help answer their own ecological research questions, using their own data. They will receive daily mentorship from a passionate team of computer vision experts with a track record of impact in conservation and sustainability. Each student will be provided with $2500 in cloud credits to facilitate their project development sponsored by Microsoft AI for Earth and Amazon AWS.

Our team of instructors will work with applicants leading up to the intensive to curate computer-vision-ready labels for their data that will be used to prototype systems for their research questions during the class. Students will leave the course empowered to build their own computer vision models for ecological applications, and gain skills in problem formulation, dataset curation, model training, model evaluation, and hosting models for inference.

Acceptance to the 2022 school will be competitive, we plan to accept only 20 students who will be evaluated on their past work as well as their proposed projects. Applications are due December 1st, and we strongly encourage applicants from minoritized groups in academia.

Visit the CV4Ecology website for further information and how to apply.