Images are the most abundant, readily available source for documenting life on the planet. Coming from natural history collections, laboratory scans, field studies, camera traps, wildlife surveys, autonomous vehicles on the land, water, and in the air, as well as tourists’ cameras, citizen scientists’ platforms, and posts on social media, there are millions of images of living organisms. But how do we extract biological information out of them? How can we use them to protect the planet's biodiversity? AI and ML to the rescue! In this hands-on workshop you will learn about Machine Learning methods that can make sense of images, you will use them to figure out the list of wild species of Ohio, and we will discuss how to make AI trustworthy for conservation.

Prof. Tanya Berger-Wolf will lead the above discussion and hands-on research activity.

When: Tuesday, April 5, 2022 @ 5:30-7:00 pm

Where: Dreese Labs or somewhere within 5 minutes' walk of Dreese; location sent to registrants.

Food: Dinner will be provided.

Who: Any undergraduate student interested in computing research. Students who are members of underrepresented groups are especially encouraged to participate.

Registration