Finished! Looks like this project is out of data at the moment!
The Team
The Content-based Object Summarization to Monitor Infrequent Change (COSMIC) team is a part of the JPL Machine Learning and Instrument Autonomy group. We employ machine learning methods in support of scientific investigations and space exploration.
| Team member | Role |
|---|---|
 | Lukas Mandrake is the COSMIC Principal Investigator. |
| Anneliese Braunegg is an undergraduate student at Case Western Reserve University. She created the Araneiforms data set and workflow. | |
 | Gary Doran |
| Paul Horton is a graduate student at Arizona State University. He created the Dust Devils data set and workflow. | |
 | Daniel Jeong is an undergraduate student at Columbia University. He created the Swiss Cheese data set and workflow. |
 | Erik Langert |
| Steven Lu | |
 | Asher Trockman is an undergraduate student at the University of Evansville. He created the Fresh Impacts workflow. |
 | Kiri Wagstaff conducts research in active learning, unsupervised discovery methods, interpretable machine learning, and onboard science for spacecraft. Her background is in Machine Learning, Geology, Planetary Science, and Library Science. She is also an airplane pilot. |
