IP Retreat Healthy Planet

Session

Session II: Data science and modelling , Chair: tbd

7 May 2025, 11:15

Saal 1 (Leipziger KUBUS)

Description

11:15 Alain Hoyek (EXPO): Identifying Source-Specific Contaminant Fingerprints in Wastewater and Surface Waters and Predicting Chemical Concentrations in European Rivers Using Machine Learning.
11:30 Marina Pozhidaeva (COMPBC): MeSyTo - Advancing Data Interoperability in Toxicology and Pharmacology Through Standardized Metadata and Ontologies Data Science and Modelling
11:45 Ilhan Mutlu (COMPBC): From Incomplete to Insightful: Curating Spatially Annotated Monitoring Data with CleanGeoStreamR
12:00 Dilshana Shanavas Rasheeda (COMPBC): Can We Use AI to Provide Quantitative Predictions for Chemical Bioactivity and Toxicity?

12. Alain Hoyek (EXPO): Identifying Source-Specific Contaminant Fingerprints in Wastewater and Surface Waters, and Key Features for Bioactivity and Toxicity Prediction Using Machine Learning

07/05/2025, 11:15

13. Marina Pozhidaeva (COMPBC): MeSyTo - Advancing Data Interoperability in Toxicology and Pharmacology Through Standardized Metadata and Ontologies Data Science and Modelling

07/05/2025, 11:30

Author: Marina Pozhidaeva

Abstract: "Tackling chemical pollution as part of the Triple Planetary Crisis requires data science-based solutions that enable comprehensive environmental monitoring, risk assessment, and policy development. However, the lack of standardized and interoperable metadata in toxicology and pharmacology hinders the effective integration and reuse of critical data. The...

14. Ilhan Mutlu (COMPBC): From Incomplete to Insightful: Curating Spatially Annotated Monitoring Data with CleanGeoStreamR

07/05/2025, 11:45

Authors: Ilhan Mutlu, Jana Schor, Jörg Hackermüller

Abstract: "Environmental monitoring data is frequently compromised by inconsistent, incomplete, or erroneous spatial metadata, which restricts its effective utilization in research and informed decision-making processes. Recently, we have developed the CleanGeoStreamR to overcome such challenges in an automated way. CleanGeoStreamR...

15. Dilshana Shanavas Rasheeda (COMPBC): Can We Use AI to Provide Quantitative Predictions for Chemical Bioactivity and Toxicity?

07/05/2025, 12:00

Authors: Dr. Dilshana Shanavas Rasheeda, Prof. Dr. Jana Schor

Abstract: "Understanding and predicting chemical bioactivity is central to drug development, chemical safety, and environmental risk assessment. However, large numbers of unlabelled compounds remain unexplored due to the cost and scale of experimental testing. In this work, we investigate the potential of artificial intelligence...