Talks

SCIENCE PLATFORMS AND DATA LAKES

• 📑🎦 Aladin Lite v3: behind the scenes of a major overhaul, Matthieu Baumann
• A microservice-oriented science platform architecture, Stefano Alberto Russo
• 📑 CANCELLED - Serving power-users and novices. Architecture and lessons learned with science platform MuseWISE., Gijs Verdoes Kleijn
• Development of Scientific Data Applications for Science Cloud Platforms, Nick Cox
• Interactive exploration framework for big data sets, Fenja Kollasch
• Realtime Data Transferring and Processing from Remote Telescopes Using Apache NiFi and MongoDB, Lloyd Harischandra
• 📑🎦 TOPCAT Visualisation over the Web, Mark Taylor

CLOUD COMPUTING AT DIFFERENT SCALES

• 📑 Calibrating Hubble Data in the Commercial Cloud, Brian Hayden
• ESA Datalabs: an e-Science Platform for Data Exploitation and Preservation at ESAC, Vicente Navarro

CROSS-DISCIPLINE PROJECTS

• 📑 Analyzing Scientific Big Data with the Helmholtz Analytics Toolkit (HeAT), Claudia Comito
• Exploring the Universe with pyESASky JupyterLab widget, Marcos López-Caniego
• Holding the Cosmos in Your Hand: Developing 3D Data Pipelines, Kimberly Kowal Arcand
• 📑 iDaVIE-v: immersive Data Visualisation Interactive Explorer for volumetric rendering, Lucia Marchetti

MULTI-MESSENGER ASTRONOMY

• On the capability to encoding gravitational-wave sky localizations with the Multi Order Coverage data structure: present and future developments, Giuseppe Greco
• Supporting observatory coordination with new standards: current status, Aitor Ibarra Ibaibarriaga
• Using Artificial Neural Networks to detect astronomical transients, Katarzyna Wardęga

MACHINE LEARNING, STATISTICS, AND ALGORITHMS

• Exploring the use of Graph and Machine / Deep Learning technologies with the NASA ADS content, Sergi Blanco-Cuaresma
• Machine-Assisted Discovery Through Identification and Explanation of Anomalies in Astronomical Surveys, Kiri Wagstaff
• 📑🎦 Probing neural networks for science: What is it they are learning?, Colin Jacobs

TIME-DOMAIN ECOSYSTEM

• Astronify: listening to the stars, Clara Brasseur
• 📑 Storage Schema of Time Series Astronomical Data for Artificial Intelligence Analysis, Kun Li

CITIZEN SCIENCE PROJECTS IN ASTRONOMY

• 🎦 CICLOPS: CItizen Computing Pulsar Searches, Matteo Bachetti
• 📑 Citizen science with the TESS photometer network, Sergio Pascual
• Hubble Asteroid Hunter: exploring the ESA Hubble archives with citizen science, Sandor Kruk
• The Hubble Image Similarity Project, Joshua Peek

DATA PROCESSING PIPELINES AND SCIENCE-READY DATA

• 📑🎦 A scalable transient detection pipeline for the Australian SKA Pathfinder VAST survey, Sergio Pintaldi
• Distributed Streaming Radio Astronomy Reduction with Dask, Simon Perkins
• 📑 Tiling the Euclid Sky, Martin Kuemmel

DATA INTEROPERABILITY

• 📑🎦 Data Interoperability at the core of The Euclid Scientific Archive System, Pilar de Teodoro
• 📑 The Advanced Scientific Data Format (ASDF): Why you should use it, Perry Greenfield
• Using Docker in a radio-astronomy environment, Mateusz Malenta

OPEN SOURCE SOFTWARE AND COMMUNITY DEVELOPMENT IN ASTRONOMY

• 📑 The Multi-Mission Maximum Likelihood Framework threeML: Multi-wavelength astronomy in practice, Henrike Fleischhack

OTHER

• Astronomical research in the next decade: trends, barriers and needs in data access, management, visualization and analysis, Cristobal Bordiu
• astroquery: a community driven collaboration of data providers and data consumers, Brigitta Sipőcz
• 📑🎦 Organising ADASS in a Pandemic, Francesco Pierfederici
• Virtual Visit to Calar Alto Observatory, Gilles Bergond