Finished! Looks like this project is out of data at the moment!

See Results

New Updates posted on the Results page! Thank you so much to all 865 volunteers which helped to classify 12,000 unique subjects!

The Team

Our team is a galaxy and supernova science collaboration between the University of Hawaiʻi (we call ourselves Hilo Cosmology and Transients --- Hi-CAT!) and the University of Illinois.

University of Hawaiʻi

Inoa Martinez

Inoa Martinez is an Undergraduate at the University of Hawaii Mānoa, currently pursuing a Bachelors of Science in Astrophysics. Inoa led the design of this Zooniverse project, his first major project under the Hi-CAT team. In the future he hopes to study the early universe.

Miranda Kong

Miranda Y. Kong is a PhD student at the Institute for Astronomy at the University of Hawaiʻi at Mānoa. Her recent research focuses on sub-mm galaxies, Green Pea galaxies, and supernova feedback during the cosmic epoch of reionization.

David Jones

David Jones is an Assistant Astronomer at the University of Hawaiʻi's Institute for Astronomy. His research interests include the interface of supernovae and their host galaxies, as well as measuring cosmic expansion with Type Ia supernovae.

Nicole Drakos

Dr. Nicole Drakos is an Assistant Professor of Physics and Astronomy at the University of Hawaiʻi at Hilo. Her research focuses on computational astrophysics, dark matter structure and galaxy formation.

University of Illinois

Rishabh Bezbarua

Rishabh Bezbarua is an undergraduate student at the University of Illinois, Urbana-Champaign. He is currently pursuing a major in Computer Science. Under the SPIN program hosted by the National Center for Supercomputing Applications (NCSA), he has contributed to Blast's infrastructure.

T. Andrew Manning

Andrew Manning is a Senior Research Scientist at the National Center for Supercomputing Applications (NCSA). His interests include developing, deploying, and maintaining research software and cyberinfrastructure for small to large research collaborations.

Gautham Narayan

Gautham Narayan is an Assistant Professor at the University of Illinois, Urbana-Champaign. His research interests are at the intersection of multi-messenger and time-domain astrophysics, cosmology, statistics and data science. He works on wide-field surveys developing machine learning methods for real-time detection and classification of variable and transient sources, Bayesian models for cosmological inference with type Ia supernovae, understanding the host galaxies of transients, and establishing an all-sky network of faint spectrophotometric standards for LSST, WFIRST and future projects.