Dear Colleagues, We are delighted to announce the upcoming Symposium on Data-Driven Approaches in X-ray Absorption Spectroscopy, which aims at bringing together researchers in the field of x-ray absorption spectroscopy, machine learning, and computational modelling. This symposium will focus on recent developments in data-driven and machine learning techniques for the interpretation of XANES and EXAFS spectra, enabling new insights into materials structure and dynamics from large complex operando/in situ datasets. The program will feature four themed sessions: * Data-Driven Decomposition and Spectral Extraction * Machine Learning for XANES Prediction and Analysis * Advanced Approaches to EXAFS Analysis * Bridging Simulations and Experiments with Machine Learning Date: 5th-6th January 2026 Location: ETH Zurich Hönggerberg campus, Switzerland Abstract submission deadline: 15th October 2025 Symposium Webpage: https://urldefense.us/v3/__https://indico.psi.ch/event/dataxas2026__;!!G_uCf... We warmly invite your participation in this symposium and look forward to your contributions and discussions.