Talks

TitleSpeaker(s)Theme
Julia meets BIG DATA: JVO experience with distributed computingChristopher ZAPARTBig data: 5Vs
Lessons learned by adding cloud support to Rubin softwareDino BektesevicBig data: 5Vs
Designing the SKA Regional Centre NetworkJesus Salgado & Slava KitaeffBig data: 5Vs
Gaia AVU-GSR parallel solver towards exascale infrastructureValentina CesareBig data: 5Vs
Unconstrained storage – petascale at terascale prices.Simon RatcliffeBig data: 5Vs
Artificial Intelligence for Automatic Identification of Spectral LinesEmmanuel CauxBig data: 5Vs
QuartiCal – embarassingly parallel calibration using Numba and DaskJonathan KenyonBig data: 5Vs
The unvierse speaks for itself: from unsupervised physics to semantic source separationNima SedaghatBig data: 5Vs
Homogenization of multi-wavelength photometric data for RCSEDv2Victoria ToptunBig data: 5Vs
Web accessibility trends and implementation in dynamic web applicationsTim HostetlerBuilding accessible and friendly user interfaces
Rubin Science Platform on Google: the story so far.William O’MullaneBuilding accessible and friendly user interfaces
Data Central’s Data Aggregation ServiceBrent MiszalskiBuilding accessible and friendly user interfaces
A Tool to Explore Astronomical Databases and Transform Data into Planetarium FormatsVenustiano Soancatl AguilarBuilding accessible and friendly user interfaces
Fast interactive web-based data visualizer of panoramic spectroscopic surveysIvan KatkovBuilding accessible and friendly user interfaces
Natural language processing of astronomical transients reportsAdam ZadrożnyBuilding accessible and friendly user interfaces
Open-source web tools for visualization of imaging and spectral data in RCSEDv2Vladislav KlochkovBuilding accessible and friendly user interfaces
ESASky: a visualisation tool for multi-messenger astronomyNuria Alvarez CrespoBuilding accessible and friendly user interfaces
Grand opening of the European JWST Archive at the ESAC Science Data CentreMaria Arevalo SanchezBuilding accessible and friendly user interfaces
Supporting FAIR principles in the Astrophysics Community – the European experienceMarco MolinaroFAIR standards for astronomical data
FAIR high level data for Cherenkov astronomyMathieu ServillatFAIR standards for astronomical data
Observing_ calibrating and reducing near-infrared imaging mosaicsKirill GrishinImage processing for the public and scientists
pyds9plugin: a DS9 extension for quicklook processing scalable into a multi-processing pipelineVincent PicouetImage processing for the public and scientists
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii TelescopeSankalp GildaModernizing and maintaining telescopes
The Intelligent Observatory (South African Astronomical Observatory)Stephen PotterModernizing and maintaining telescopes
Multi-segment and Echelle stellar spectra processing issues and how to solve themSviatoslav BorisovModernizing and maintaining telescopes
Maneage: Managing data lineage for archivable reproducibilityMohammad AkhlaghiSolutions for workflow management and reproducibility
A Science-Centric_ Open approach to ScrumErik TollerudSolutions for workflow management and reproducibility
A globally distributed and scalable data post-processing framework for WALLABY scienceAustin ShenSolutions for workflow management and reproducibility
AIMfast: An Astronomical Image Fidelity Assessment ToolAthanaseus Javas RamailaSolutions for workflow management and reproducibility
Stimela 2.0: containerization and workflow management for data pipelinesSphesihle MakhathiniSolutions for workflow management and reproducibility
Three workflow add-ons to improve machine learning reproducibility in astronomyBernie BoscoeSolutions for workflow management and reproducibility
Managing the data flow of the MHONGOOSE survey with open-access toolsJulia HealySolutions for workflow management and reproducibility
European Virtual Observatory SchoolsFran Jiménez-EstebanTeaching resources for Astroinformatics and Virtual Observatory
Building astroBERT_ a language model for Astronomy & Astrophysics.Felix GrezesUnderstanding and improving machine learning
Building Trustworthy Machine Learning Models for AstronomyMichelle NtampakaUnderstanding and improving machine learning
Advanced Data Analysis for Observational Cosmology: applications to the study of the Intergalactic MediumGuido CupaniUnderstanding and improving machine learning
Astronomical Data Approximation Based on Neural Network ModelsSamorodova Ekaterina & Konstantin MalanchevUnderstanding and improving machine learning
An Unsupervised Learning approach to classifying Extended Radio Sources from deep MeerKAT imagesFernando L. VenturaUnderstanding and improving machine learning
WFC3 IR Blob Classification with Machine LearningJennifer Medina & Frederick DauphinUnderstanding and improving machine learning