Increasing data accessibility by adding existing datasets and capabilities to a cutting-edge visualization app to enable cross-community use

Aneece, Itiya - Western Geographic Science Center

Evaluation and recommendation of practices for publication of reproducible data and software releases in the USGS

Blodgett, David - Integrated Modeling and Prediction Division, Water Mission Area

A tool for rapid-repeat high-resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience

Byrd, Kristin - Western Geographic Science Center

ZenRiver game concept: accelerating creation of machine learning imagery training datasets using citizen science

Engel, Frank - Observing Systems Division, Water Mission Area

Availability, documentation, & community support for an open-source machine learning tool

Gabriel, Travis - Astrogeology Science Center

Linking orphaned oil & gas wells with groundwater quality

Gianoutsos, Nick - Central Energy Resources Science Center

Extracting data from maps: applying lessons learned from the AI for Critical Mineral Assessment Competition

Goldman, Maggie - Geology, Geophysics, and Geochemistry Science Center

Integrating stream gage records, water presence observations, and models to improve hydrologic prediction in stream networks

Hafen, Konrad - Idaho Water Science Center

Connecting with our stakeholders - developing a better understanding of use and usability for science products

Kotowicz, Dawn - St. Petersburg Coastal and Marine Science Center

Informing the use of native plant materials in restoration and rehabilitation with the Native Plant Seed Mapping Toolkit

Massatti, Rob - Southwest Biological Science Center

Automated accuracy and quality assessment tools (AQAT = “a cat”) for generalized geospatial data

Stanislawski, Lawrence - Center of Excellence for Geospatial Information Science

Communicating stream fish vulnerability to climate change

Woods, Taylor - Eastern Ecological Science Center