The Symposium on Data-Driven Approaches in X-ray Absorption Spectroscopy (DataXAS) will bring together leading experts in spectroscopy and data science to showcase the latest advances in machine learning and computational techniques applied to XAS. The two-day in-person event at ETH Zurich will feature four main sessions covering:
-
Data-Driven Decomposition and Spectral Extraction
-
Machine Learning for XAS Prediction and Analysis
-
Advanced Approaches to EXAFS Analysis
-
Bridging Simulations and Experiments with Machine Learning
Participants will hear invited talks from internationally recognized speakers (see the list in Invited Speakers) and engage in discussions on emerging challenges and opportunities at the interface of spectroscopy and data science. The full symposium programme is available in Symposium Schedule.
Abstract submission
In addition to invited presentations, we have open slots in each session for 30-minute contributed talks.
A dedicated poster session with apero will take place on the evening of Day 1, providing opportunities for early-career researchers and participants to present their work and exchange ideas with peers and senior scientists.
Researchers wishing to be considered should submit an abstract as described in Abstract Submission.
Abstract submission deadline is 15 October 2025.
Attending this event
The symposium will be held at the ETH Zurich (see Venue for more details). The registration fee includes admission to all sessions, coffee breaks, the poster reception, and the symposium dinner.
Registration will open on 22 September 2025
Registration details:
-
Student registration: CHF 150 (until 01 December 2025)
-
Late registration (until 22 December 2025): 200 CHF
-
- Regular registration (until 01 December 2025): CHF 250
- Late registration (until 22 December 2025): CHF 300
Places are limited and registration will close once capacity is reached.
Our sponsors
Organizing Institution
