Multi-Modal Scientific Data Fusion Platform

Develop a flexible data fusion platform capable of integrating heterogeneous scientific datasets from multiple domains and instrumentation types. Create adaptive schema mapping, semantic alignment algorithms, and uncertainty propagation methods for combining data from sources like satellite imagery, sensor networks, and experimental measurements. Implement machine learning-driven data reconciliation with explainable fusion strategies.