Fall 2021 STOICH Training and Data Analysis (STDA) Workshop

The STDA Workshop is intended to introduce new scientists to our project and data analysis methods used in ecological stoichiometry.

Workshop Agenda:

STDA Participants – see the 2021 Materials and Products here.

Email marc.madigan@unl.edu for access to the page.

24-Hour STOICH Data Science and Visualization Challenge

Who: The 24-hour STOICH Data Science and Visualization Challenge is meant for students who want to take a deeper dive into applying data science to topics that are of direct relevance to the STOICH Project research aims. We hope these topics inspire creative problem solving and foster new collaborations among students and across institutions.

What: Participants will be assigned one of the following topics, based on preference and skill, including exploring phylogenetics, data visualization, working with data repositories, and utilizing National Ecological Observatory Network (NEON). Each topic will be led by PIs from the STOICH project who will guide the 2-5 person student team in the creation of a data science or visualization product. The process and progress of each team will be presented to the STDA conference attendees on Thursday afternoon with time for questions and meaningful discussion.

When: The 24-Hour Challenge will be presented on Wednesday morning, giving groups the full day on Wednesday, as well as part of Thursday morning to work together on their topic. While we understand that you may have prior commitments, we expect that as a participant, you will have a flexible schedule on Wednesday and Thursday so that you may contribute meaningfully to your group.

24 Hour Challenge Team and Topic Descriptions

Team 1: Phylogenetics (Lead: Dr. Catherine Wagner, University of Wyoming)

This project will investigate the evolution of stoichiometric traits at phylogenetic scales, seeking to understand the role of evolutionary history in shaping these traits. It will use existing phylogenetic data drawn from “tree of life” resources, and link these phylogenies with data available from the literature on stoichiometric phenotypes from a diversity of species. Key challenges will be pairing diverse data types for visualization and creating effective visuals, which will aid in beginning to address the open question of what phylogenetic scales are appropriate and useful for analyzing the relationship between stoichiometric traits and phylogeny.  

Team 2: National Ecological Observatory Network (NEON) (Lead: Dr. Eric Moody, Middlebury College)

This project will use NEON invertebrate community data to explore community and functional responses in two streams that were differentially impacted by Hurricane Maria. Focal questions will include how communities respond taxonomically and stoichiometrically to a large hurricane disturbance and how to best analyze and visualize trait-based responses.

Team 3: Data Repositories (Leads: Dr. Hal Halvorson, University of Central Arkansas, & Dr. Amy Krist, University of Wyoming)

This project will use published large data repositories to investigate variation of body stoichiometry across organisms from inland waters. Focal questions will include comparing intra-specific versus inter-specific variation of body stoichiometry and identifying persistent data gaps within existing repositories.

Diversity, Equity, and Inclusion Resources

These are resources that were discussed in the workshop. You can access them here:

To learn inclusion skills, make it personal

Diversity in STEM: What It Is and Why It Matters