4th Annual Digital Data Conference, Indiana University: Difference between revisions

| colspan="1" style="vertical-align:top; background-color:#d0e0e3;"|'''''Digging for more: Archaeological Specimens as Biodiversity Specimens in the Age of Digital Data'''''<br>'''Michelle LeFebvre''', Assistant Curator of Archaeology, Florida Museum of Natural History, University of Florida

| colspan="1"  style="vertical-align:top; background-color:#d0e0e3;"|Concurrent Session 4A<br><br>'''''Context R-CNN: Long Term Temporal Context for Object Detection in Camera Traps'''''<br>Sara Beery, Caltech; Guanhang Wu, Google; Vivek Rathod, Google; Ronny Votel, Google; Jonathan Huang, Google

| colspan="1" style="vertical-align:top;"|Concurrent Session 5A<br><br>'''''Creating New Data, Questions, and Scientists: A New Phenology-focused CURE using Herbarium Specimen Data'''''<br>Katie Pearson, Cal Poly State University; Jenn Yost, Cal Poly State University; Natalie Love; Tadeo Ramirez Parada

| colspan="1"  style="vertical-align:top; background-color:#d0e0e3;"|Concurrent Session 4C<br><br>'''''Object Detection for Moth Sheet Identification'''''<br>Chandra Earl, University of Florida

| colspan="1"  style="vertical-align:top; background-color:#d0e0e3;"|Concurrent Session 6D<br><br>'''''iDigBio’s Directory of Genetic Resources Enhances Discoverability of Materials for COVID-19 and Beyond'''''<br>Maria Cortez, University of Florida; Pam Soltis, University of Florida

This workshop will focus on using the iDigBio API (Application Programming Interface) to work with biodiversity occurrence data in R. Topics will be determined unconference-style by workshop attendees, but could include those related to collections management, e.g. reviewing specimen data quality issues, and to downstream research, e.g. facilitating reproducible and reusable methods. Community members of all backgrounds (collections staff, researchers, IT, etc.) and levels of programming experience (including R novice!) are encouraged to attend this workshop as a way to discover and discuss API data access, issues, and solutions. This workshop is a product of the iDigBio API User Group (R-based).