C2: Open-Source Models and Advanced Data Analytics
09.10.2025 11:15 – 12:45
British Council
Moderator: Björn Weeser
This session delves into the development and application of open-source modeling tools and data analytics frameworks that empower researchers and policymakers to simulate water resource scenarios. It focuses on how these tools leverage big data and machine learning to enhance predictive capabilities, optimize water management strategies, and support evidence-based policy formulation.
Presenters
| Time | ID | Speaker | Title |
|---|---|---|---|
| 11:15 – 11:20 | — | Moderator | Welcome & Introduction |
| 11:20 – 11:35 | 149 | Alicia Correa | Expanding Data-Driven Hydrological Insights through an Open-Source Software Toolbox |
| 11:35 – 11:50 | 62 | Sarvarbek Eltazarov | Enhancing Weather Index Insurance with Big Earth Data and ML-based Spatial Downscaling |
| 11:50 – 12:05 | 277 | Meeta Gupta | Assessing combined impacts of climate and pumping on groundwater dynamics using integrated SWAT-MODFLOW modeling in a semi-arid environment |
| 12:05 – 12:20 | 207 | Denial Reddythota | Spatiotemporal and Vertical Nutrient Dynamics and Their Impact on Lake Hashenge’s Vulnerability: A GIS and Multivariate Approach |
| 12:20 – 12:35 | 256 | Pooja Shrestha | Evaluation of process-based and empirical modelling approaches for flood hazard assessment in the upper Mun river basin, Thailand |
| 12.35 – 12:45 | — | All | Group Discussion & Closing |