Overview
The European Geosciences Union (EGU) is hosting a session titled “Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences” as part of its General Assembly in 2026. This session aims to address the complexities associated with imperfect data in hydrology and geosciences, a significant concern for researchers in these fields.
Background & Relevance
In the realms of hydrology and geosciences, data imperfection is a critical issue. Researchers frequently encounter datasets that are incomplete, imprecise, or heterogeneous, stemming from various sources such as in-situ measurements and remote sensing. Traditional statistical methods have been employed to tackle these challenges; however, the increasing complexity of environmental data necessitates innovative approaches. Recent advancements in artificial intelligence and data fusion present new opportunities for integrating and interpreting diverse datasets effectively.
Key Details
- Main Event: EGU General Assembly 2026
- Dates: May 3-8, 2026
- Location: Vienna, Austria (also available online)
- Session URL: EGU 2026 Session
- Submission Deadline: January 15, 2026, 13:00 CET
- Notification of Acceptance: February 20, 2026
- Registration Fees: Waived for virtual participation for eligible scientists and students
Eligibility & Participation
This call for abstracts is open to researchers and practitioners in hydrology and geosciences, particularly those focusing on the challenges of managing heterogeneous and imperfect data. Contributions from students and early-career researchers are encouraged, especially those presenting innovative methodologies or case studies.
Submission or Application Guidelines
To submit an abstract, please follow these steps:
1. Visit the submission link.
2. Prepare your abstract according to the provided guidelines.
3. Submit your abstract by the deadline of January 15, 2026.
4. Await notification of acceptance on February 20, 2026.
Additional Context / Real-World Relevance
The integration of heterogeneous data is crucial for advancing knowledge in hydrology and geosciences. As environmental challenges become more complex, the ability to manage and interpret imperfect data will be vital for effective decision-making and resource management. This session will foster discussions on innovative practices and frameworks that can enhance data integration efforts in these fields.
Conclusion
The EGU 2026 session on managing heterogeneous and imperfect data presents a valuable opportunity for researchers to share insights and advancements in this critical area. Interested participants are encouraged to submit their abstracts and contribute to the ongoing dialogue in hydrology and geosciences.
Category: CFP & Deadlines
Tags: hydrology, geosciences, data fusion, machine learning, environmental science, data integration, AI, uncertainty quantification
