Title	Speaker(s)	Theme
Julia meets BIG DATA: JVO experience with distributed computing	Christopher ZAPART	Big data: 5Vs
Lessons learned by adding cloud support to Rubin software	Dino Bektesevic	Big data: 5Vs
Designing the SKA Regional Centre Network	Jesus Salgado & Slava Kitaeff	Big data: 5Vs
Gaia AVU-GSR parallel solver towards exascale infrastructure	Valentina Cesare	Big data: 5Vs
Unconstrained storage – petascale at terascale prices.	Simon Ratcliffe	Big data: 5Vs
Artificial Intelligence for Automatic Identification of Spectral Lines	Emmanuel Caux	Big data: 5Vs
QuartiCal – embarassingly parallel calibration using Numba and Dask	Jonathan Kenyon	Big data: 5Vs
The unvierse speaks for itself: from unsupervised physics to semantic source separation	Nima Sedaghat	Big data: 5Vs
Homogenization of multi-wavelength photometric data for RCSEDv2	Victoria Toptun	Big data: 5Vs
Web accessibility trends and implementation in dynamic web applications	Tim Hostetler	Building accessible and friendly user interfaces
Rubin Science Platform on Google: the story so far.	William O’Mullane	Building accessible and friendly user interfaces
Data Central’s Data Aggregation Service	Brent Miszalski	Building accessible and friendly user interfaces
A Tool to Explore Astronomical Databases and Transform Data into Planetarium Formats	Venustiano Soancatl Aguilar	Building accessible and friendly user interfaces
Fast interactive web-based data visualizer of panoramic spectroscopic surveys	Ivan Katkov	Building accessible and friendly user interfaces
Natural language processing of astronomical transients reports	Adam Zadrożny	Building accessible and friendly user interfaces
Open-source web tools for visualization of imaging and spectral data in RCSEDv2	Vladislav Klochkov	Building accessible and friendly user interfaces
ESASky: a visualisation tool for multi-messenger astronomy	Nuria Alvarez Crespo	Building accessible and friendly user interfaces
Grand opening of the European JWST Archive at the ESAC Science Data Centre	Maria Arevalo Sanchez	Building accessible and friendly user interfaces
Supporting FAIR principles in the Astrophysics Community – the European experience	Marco Molinaro	FAIR standards for astronomical data
FAIR high level data for Cherenkov astronomy	Mathieu Servillat	FAIR standards for astronomical data
Observing_ calibrating and reducing near-infrared imaging mosaics	Kirill Grishin	Image processing for the public and scientists
pyds9plugin: a DS9 extension for quicklook processing scalable into a multi-processing pipeline	Vincent Picouet	Image processing for the public and scientists
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope	Sankalp Gilda	Modernizing and maintaining telescopes
The Intelligent Observatory (South African Astronomical Observatory)	Stephen Potter	Modernizing and maintaining telescopes
Multi-segment and Echelle stellar spectra processing issues and how to solve them	Sviatoslav Borisov	Modernizing and maintaining telescopes
Maneage: Managing data lineage for archivable reproducibility	Mohammad Akhlaghi	Solutions for workflow management and reproducibility
A Science-Centric_ Open approach to Scrum	Erik Tollerud	Solutions for workflow management and reproducibility
A globally distributed and scalable data post-processing framework for WALLABY science	Austin Shen	Solutions for workflow management and reproducibility
AIMfast: An Astronomical Image Fidelity Assessment Tool	Athanaseus Javas Ramaila	Solutions for workflow management and reproducibility
Stimela 2.0: containerization and workflow management for data pipelines	Sphesihle Makhathini	Solutions for workflow management and reproducibility
Three workflow add-ons to improve machine learning reproducibility in astronomy	Bernie Boscoe	Solutions for workflow management and reproducibility
Managing the data flow of the MHONGOOSE survey with open-access tools	Julia Healy	Solutions for workflow management and reproducibility
European Virtual Observatory Schools	Fran Jiménez-Esteban	Teaching resources for Astroinformatics and Virtual Observatory
Building astroBERT_ a language model for Astronomy & Astrophysics.	Felix Grezes	Understanding and improving machine learning
Building Trustworthy Machine Learning Models for Astronomy	Michelle Ntampaka	Understanding and improving machine learning
Advanced Data Analysis for Observational Cosmology: applications to the study of the Intergalactic Medium	Guido Cupani	Understanding and improving machine learning
Astronomical Data Approximation Based on Neural Network Models	Samorodova Ekaterina & Konstantin Malanchev	Understanding and improving machine learning
An Unsupervised Learning approach to classifying Extended Radio Sources from deep MeerKAT images	Fernando L. Ventura	Understanding and improving machine learning
WFC3 IR Blob Classification with Machine Learning	Jennifer Medina & Frederick Dauphin	Understanding and improving machine learning