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| First Name | Last Name | Sign Up Items |
|---|---|---|
| Mohamed | Abdelkader | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Motasem | Abualqumboz | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Muhammad | Adil | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| TARUN | AGRAWAL | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping |
| Christine | Albano | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Dan | Ames | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Mahmoud | Ayyad | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Sophia | Bakar | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Anupal | Baruah | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Suma | Battula | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| David | Baude | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping |
| John | Beck | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy |
| Noah | Beckage | 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Scott | Black | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Abner | Bogan | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Jenna | Brooks | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Elizabeth | Burgon | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Jose | Castejon | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Tony | Castronova | 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Pratiksha | Chaudhari | 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Yixian | Chen | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Baya | Cherif | 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy |
| YUN JAE | CHOUNG | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Sam | Contorno | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Claudia | Corona | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Rachel | Corrigan | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Ryan | Currier | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Anastassios | Dardas | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Alex | Dean | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Schuyler | DeBree | 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Ibrahim | Demir | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Matt | Denno | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Dipsikha | Devi | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping |
| Hemal | Dey | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Hari | Dhital | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| SUPATH | DHITAL | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping |
| JUzer | Dhondia | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Courtney | Di Vittorio | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Taylor | Dixon | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| James | Dolinar | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Vamsi | Dondeti | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Ehsan | Ebrahimi | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Aline | Falck | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Mohammad | Farmani | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Xia | Feng | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Joshua | Fishbein | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Trey | Flowers | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions |
| Michael | Follum | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping |
| Abby | Frazier | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Kate | Freeman | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement |
| Martin | Gauch | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Emily | Golitzin | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Francisco | Gomez | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Jesus | Gomez-Velez | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Brian | Gorberg | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Anna | Grunes | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Cherryle | Heu | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Emma | Hibbert | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions |
| Katrina | Hinke | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Yi | Hong | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Jeff | Horsburgh | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Yu-Fen | Huang | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Christina | Hutchins | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Aliakbar | Jamali Beyrami | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Keith | Jennings | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Norm | Jones | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Delicious Rahman | Kaba | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Riya Kadel | Kadel | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Ahmad Jan | Khattak | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Sifan A. | Koriche | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Peter | La Follette | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Sonam | Lama | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Sam | Landsteiner | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Belize | Lane | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Daniel | Lapidus | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| JR | Lee | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Christopher | Lemasters | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| John | Lhotak | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| XINGONG | Li | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Xueyi | Li | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Zhi | Li | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Ziyu | Li | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Mochi | Liao | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Dane | Liljestrand | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Ken | Lippold | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Hongli | Liu | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Jiangtao | Liu | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Jinliang | Liu | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Jinliang | LIu | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS |
| Leo | Lonzarich | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Travis | Loof | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Tucker | Lovell | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Iman | Maghami | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Sujan | Maharjan | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Tasfia | Mahjarin | 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Mike | Mahoney | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Tantu | Mandal | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy |
| Brian | Maughan | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Rachel | McDaniel | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions |
| Riley | McDermott | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Liza | McLatchy | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Kaitlin | Meyer | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Alemayehu | Midekisa | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Vikalp | Mishra | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Parth | Modi | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Abdul | Moiz | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Mahsa | Moradi | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Mirce | Morales | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Dinuke | Munasinghe | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Ayman | Nassar | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Savalan | Neisary | 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Parvaneh | Nikrou | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Jackson | North | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Ann | Nyambega | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Arundhaty Mandal | Oishi | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Adeyinka | Olaseinde | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| John | Park | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Arpita | Patel | 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Sudip | Pathak | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Daniel | Philippus | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology |
| Evan | Powers | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Anthony | Preucil | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Carson | Pruitt | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Patricia | Puente | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Pushpendra | Raghav | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Reshma | Raghavan | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Reshma` | Raghavan | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Lydia | Ramlo | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Kristin | Raub | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Vanessa | Robledo | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Louis | Rosas | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Quinn | Russell | 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Paola | Sabel | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Mostafa | Saberian | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Reza | Saleh Alipour | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Kristen | Sanfilippo | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Dina | Sang | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Kunal | Sarna | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Samrin | Sauda | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Juli | Scamardo | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Corinne | Schuster-Wallace | 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Bong Chul | Seo | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Jihee | Seo | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Sadra | Seyvani | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Chang | Shu | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Pin | Shuai | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Chris | Shuler | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Aaron | Sigman | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Rodrigo | Soares | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Junho | Song | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Jared | Stieve | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy |
| Court | Strong | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Yue | Sun | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| AMRUTHA | SURESH | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS |
| Amrutha | Suresh | 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Nathan | Swain | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Vaishali | Swaminathan | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Henok | Teklu | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Dan | Tian | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Danielle | Tijerina-Kreuzer | 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Sujana | Timilsina | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/27/2026 12:30PM – CDT Hydroinformatics: Developing Interactive CIROH Research Applications with Python-only Tethys Component Apps 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/27/2026 12:30PM – CDT Social Science: Why and How to Use Economics to Evaluate Forecasts and Value Their Impacts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Erin | Towler | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Enrique | Triana | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Cristina | Urizar | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Ryan | van der Heijden | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| George | Van Houtven | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Social Science: Podcasting for R2O: Sharing CIROH Science Beyond the Code |
| Katie | van Werkhoven | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Social Science: Challenges and Opportunities in Bridging Hydrology Research and Practice: Co-Developing FloodSavvy Through Interdisciplinary Collaboration and Community Engagement 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Nicolas | Vasquez | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Sai Harsha | Vemula | 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Sonali | Vyas | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/29/2026 9:30AM – CDT Machine Learning: Incorporating process-based models into neuralhydrology 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Huan | Wang | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Jiao | Wang | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Beverley | Wemple | 05/27/2026 9:30AM – CDT Social Science: Integrating user and community perspectives into your R2O pipeline to improve impact 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT FIM: Flood inundation mapping with FLDPLN 05/28/2026 12:30PM – CDT Social Science: In Their Shoes: Flash Flood Decision-Making Under Forecast Uncertainty 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Erin | White | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Hydroinformatics: Collecting, Organizing, Managing, and Standards-Based Sharing of Hydrologic Observations Using HydroServer 05/28/2026 12:30PM – CDT FIM: Topographically derived high-water thresholds for flood inundation mapping 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance 05/29/2026 12:30PM – CDT FIM: FIMeval: A Python-based engine for evaluation of flood inundation mapping over large-scale Benchmark Database |
| Gus | Williams | 05/27/2026 9:30AM – CDT Machine Learning: Foundations of ML: From Architecture to Optimization 05/27/2026 12:30PM – CDT Machine Learning: Sensitivity-Aware Gradient Estimation for Continental-Scale Training of Hydrologic Models 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT Hydroinformatics: HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology 05/28/2026 12:30PM – CDT Machine Learning: Satellite Data Projection and Georeferencing with Satpy 05/29/2026 12:30PM – CDT Hydroinformatics: Talk to NRDS: Building an LLM Chat for TethysDash to Explore the NextGen Research Data Stream |
| Savanna | Wolvin | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration |
| Farnaz | Yarveysi | 05/27/2026 9:30AM – CDT Hydroinformatics: Essential geospatial data and coding skills for CIROH researchers 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT Hydroinformatics: Using TEEHR Dashboards to Explore Hydrologic Model Performance |
| Fei | Ye | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT FIM: FIMserv v.1.1: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting with Deep Learning Surrogacy 05/29/2026 12:30PM – CDT NextGen: Developing a physics-based modeling framework to predict water quality from hillslope to watershed scales |
| Reihaneh | Zarrabi | 05/27/2026 9:30AM – CDT NextGen: Model Integration in NextGen, NGIAB and NRDS 05/27/2026 12:30PM – CDT NextGen: Getting Hands-on with the CIROH Community HydroFabric 05/28/2026 9:45AM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 1. Model setup and configuration 05/28/2026 12:30PM – CDT NextGen: Orchestrating end-to-end reproducible NextGen and NextGen adjacent workflows – Part 2. Orchestrating parallel model calibration 05/29/2026 9:30AM – CDT NextGen: Theory and Applications of Uncertainty Analysis for Extreme Event Hydrometry 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
| Asim | Zia | 05/27/2026 9:30AM – CDT FIM: Building a Multi-source Flood Inundation Database and Visualizing HAND and Model-Generated Flood Maps 05/27/2026 12:30PM – CDT FIM: Using Streamflow Forecasts to Produce Flood Impact Forecasts 05/28/2026 9:45AM – CDT Machine Learning: Hands-on LSTM and Transformer for Operational Streamflow Prediction 05/29/2026 9:30AM – CDT Social Science: Using machine learned emulator models to quantify uncertainty for water quality predictions 05/29/2026 12:30PM – CDT Machine Learning: GeoAI-Driven Flood Risk Modeling: Integrating Hazard, Exposure, and Vulnerability. |
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