Month: December 2020

On Friday, December 11th, doctoral student Christopher Rauch will present a paper for the Computational Archival Science workshop at the IEEE International Conference on Big Data (IEEE Big Data 2020). The paper, titled “A Computational Approach to Historical Ontologies,” is co-authored with CCI’s Mat Kelly, Jane Greenberg, Sam Grabus, and Joan Boone, as well as California Digital Library’s John Kunze, and Temple University’s Peter Logan.

Citation:
Kelly, M., Greenberg, J., Rauch, C. B., Grabus, S., & Boone, J. P. (In Press, December 10-13, 2020). A Computational Approach to Historical Ontologies 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, Georgia, US. [PDF]

On December 4th, 2020, doctoral candidate Jeremy Leipzig and Dr. Jane Greenberg were awarded the “Best Research Paper Award” at the 14th International Conference on Metadata and Semantics Research (MTSR 2020). The paper, titled “Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species,” was co-authored by J. Leipzig, Y. Bakis, X. Wang, M. Elhamod, K. Diamond, M. Maga, W. Dahdul, A. Karpatne, P. Mabee, H. L. Bart Jr. and J. Greenberg.

Research supported by NSF OAC Office of Advanced Cyberinfrastructure (OAC) #1940233and #1940322.