Program | DSOS

Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research

13 August 2026

14:00-14:15 UTC - Introduction, Welcome, and Ground Rules

14:15 - 15:30 UTC - From Sensors to Satellites: Non-Contact Methods for Monitoring Ecosystems

14:15-14:25 UTC	Caelan Simeone Understanding the thermalscape: Quantifying stream temperature heterogeneity across the Willamette River Basin
14:25-14:35 UTC	Sophia Skogland Hyperspectral remote sensing of coupled water quality variables over time and space enables lake ecosystem understanding
14:35-14:45 UTC	Arthur de Grandpre Assessing the spatiotemporal transferability of macrophytes remote sensing models in the optically complex fluvial St. Lawrence River, Canada
14:45-14:55 UTC	Gabriella Zuccolotto Commercial Satellite Observations of Harmful Algal Bloom Indicators in the Illinois River
14:55-15:05 UTC	Anna Oprei Floodplain Over Troubled Water: Mapping Daily Inundation Patterns In The Lowland Oder River Using Digital Elevation Models And Satellite Imagery
15:05-15:30 UTC	Live Q&A with the speakers

15:30-15:45 UTC Break

15:45-17:00 UTC - Scaling your Science: Cross-scale investigations of water quality and quantity

15:45-15:55 UTC	Andre Amador A harmful algal bloom detection and prediction system for the San Jose Lagoon
15:55-16:05 UTC	Eva Pavo-Fernandez Assessing Natural Resilience: Comparative analysis of storm-driven morphological changes in reflective and dissipative coastal profiles in a data-scarce region
16:05-16:15 UTC	Kirsty Forbes Calculating Lake Surface Area Periodicity at a Global Scale
16:15-16:25 UTC	Jack Boyle Quantifying Long-Term Post-Wildfire Hydrologic Recovery: A Continental-Scale Remote Sensing Analysis
16:25-16:35 UTC	Tuba Bucak Sampling Frequency Matters: Tracking Lake Greenhouse Gas Emissions
16:35-17:00 UTC	Live Q&A with the speakers

17:00-17:05 UTC - Closing Remarks

14 August 2026

14:00-14:15 UTC - Introduction, Welcome, and Ground Rules

14:15 - 15:30 UTC - Beyond the Boundary Condition: Expanding Models across Physics, Chemistry, and Biology

14:15-14:25 UTC	Pablo Santoro and Fernanda Maciel Integrating modeling, remote sensing and in-situ data to characterize hydro-sedimentological dynamics and climate impacts in the Río de la Plata estuary
14:25-14:35 UTC	Burak Kuyumcu Lin Decoding the Spatial Lottery: A Biophysical Framework for Estimating Recruitment
14:35-14:45 UTC	Taynara de Souza Fernandes GLM Pumped Up: Walkthrough of the New Heat Pump Extension for Lake Thermal Simulations
14:45-14:55 UTC	Emma Blackford A Hurdle-Model Framework to Explain Variability in Lake Habitat Conditions
14:55-15:05 UTC	Edevardt Johan Danielsen Greenhouse Gases and Macrophytes: Friend or Foe?
15:05-15:30 UTC	Live Q&A with the speakers

15:30-15:45 UTC - Break

15:45-17:00 UTC - LLM = Limnological Lake Model?: Bringing AI and Machine Learning into Limnology

15:45-15:55 UTC	Abhilash Neog Toward Robust Foundation Models for Scientific Systems: An Application to Lake Sciences
15:55-16:05 UTC	Jana Isanta-Navarro Where experiments and data science meet in limnology
16:05-16:15 UTC	Emma Marchisin Lake Water Quality Predictions Across Timescales Using Knowledge-Guided Machine Learning
16:15-16:25 UTC	M. Karinna Nunez From Data to Coastal Resilience: AI-Powered Adaptation Across Coupled Natural Systems
16:25-16:35 UTC	Maria Popescu Harnessing Long-Term Sensor Datasets And Interpretable Machine Learning To Understand The Drivers Of Deep-Water Phytoplankton Blooms
16:35-17:00 UTC	Live Q&A with the speakers

17:00-17:05 UTC - Closing Remarks