Thomas Teisberg (PhD candidate) develops new approach to data collection
Applying scientific machine learning models to determine where to take measurements to improve our understanding of ice melt in Antarctica.
EE PhD candidate Thomas Teisberg, Professor Dustin Schroeder, and Professor Mykel Kochenderfer are combining drone technology with scientific machine learning to reinvent how researchers capture ice sheet data. They are working at the intersection of science and engineering to gather more and better data, in order to improve our understanding of the forces at play in a warming climate.
“We want to equip policymakers with information to decide how to adapt, but given the difficulty of gathering data from Antarctica, we can’t survey everything,” Professor Schroeder explains. “We need to focus on collecting the most impactful data. The question of where that data is — or how we would know in a formal way — is a hard, technical, AI-rich problem.”
“So far, every time we collect data, we discover something new,” Thomas Teisberg says. “We have better models for the ice caps on Mars than we have from Antarctica.”
Read full article at HAI, How Fast Will Antarctica's Ice Sheet Melt?