Program | DSOS

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

24 July 2025

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

14:15 - 15:15 UTC - The Surface Water Ocean Topography (SWOT) Mission

14:15-14:25 UTC	Fiona Bennitt Detecting narrow rivers with SWOT
14:25-14:35 UTC	Hana Thurman Capturing hydrologic waves traveling down rivers using SWOT satellite data
14:35-14:45 UTC	Ryan Riggs Characterizing reservoir operations with satellite remote sensing
14:45-14:55 UTC	Johary Andriambeloson Evaluation of SWOT observations on the Betsiboka river course
14:55-15:15 UTC	Live Q&A with the speakers

15:15-15:35 UTC Break

15:35-16:35 UTC - Novel Approaches for Unpacking Ecosystem Function

15:35-15:45 UTC	Braden DeMattei Close Encounters of the Rotifer Kind: Using computer vision to detect predator-prey encounters
15:45-15:55 UTC	Kelly Aho Creating and using NEON derived data products to gain new insights into greenhouse gas emissions from streams and rivers
15:55-16:05 UTC	Punwath Prum Harmonizing Landsat TM, ETM+, OLI, and OLI2 surface reflectance data for long-term surface water quality monitoring
16:05-16:15 UTC	Marina Amadori A sub-continental scale assessment of lake-climate interactions in sub-Sahelian Africa from global remote sensing and reanalysis data
16:15-16:35 UTC	Live Q&A with the speakers

16:35-16:40 UTC - Closing Remarks

25 July 2025

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

14:15 - 15:15 UTC - Open Tools for Open Science

14:15-14:25 UTC	Lindsay Platt Demystifying reproducibility with tangible steps and practical actions
14:25-14:35 UTC	Chung-Yi Lin Pywr-DRB: Advancing water availability assessment through open source modeling in the Delaware River Basin
14:35-14:45 UTC	Tim Stagnitta Development of a cloud-based workflow to automatically extract and bias-correct temperatures for inland waterbodies from Landsat 8 analysis ready datasets across the contiguous United States
14:45-14:55 UTC	Tadhg Moore Open Models, Clear Waters: Ecosystem modeling for Aotearoa New Zealand’s lakes
14:55-15:15 UTC	Live Q&A with the speakers

15:15-15:35 UTC - Break

15:35-16:35 UTC - Open Data and Open Models for Open Science

15:25-15:35 UTC	Athreyi Badithela Uncertainty quantification in deep learning for stream temperature forecasting
15:35-15:45 UTC	Karen Portilla Modeling thermal stratification in Andean lakes with GLM: A climate-lake coupling approach using ENSO signals
15:45-15:55 UTC	Mahtab Yaghouti A simple approach to project and mitigate lake deoxygenation in response to future climate change
15:55-16:05 UTC	Bennett McAfee Integrating scientific knowledge and machine learning to model lake water quality with open data
16:05-16:30 UTC	Live Q&A with the speakers

16:30-16:35 UTC - Closing Remarks