ADASS provides a forum for scientists and programmers concerned with algorithms, software and software systems employed in the acquisition, reduction, analysis, and dissemination of astronomical data. An important element of the programme is to foster communication between developers and users with a range of expertise in the production and use of software and systems. The programme consists of invited talks, contributed oral and display papers, tutorials, user group meetings and special interest group meetings (collectively "Birds of a Feather" meetings).
The 2024 event poster [PDF] may be downloaded.
We invite you to the 34th annual conference on Astronomical Data Analysis Software and Systems. The conference will be held November 10-14, 2024 at the University of Malta Valletta Campus, hosted by the Institute of Space Sciences and Astronomy.
The meeting is an in-person event with a virtual component.
This annual conference, hosted by a different location each year, is a forum for astronomers, computer scientists, software engineers, faculty members and students working in areas related to algorithms, software and systems for the acquisition, reduction, analysis, and dissemination of astronomical data.
The ADASS XXXIV program will include invited talks, contributed papers, tutorials, software demonstrations, and special interest ("Birds of a Feather" or BoF) meetings. These activities aim to stimulate further development of software and systems to meet the data science challenges of astronomy.
Registration and abstract submissions are not yet open. More information will be added as the planning progresses.
We would like to thank everyone who participated in proposing and voting for this year's themes. The POC and LOC selected the themes with guidance from the poll. ADASS topics span the universe; key themes focus but do not limit abstract submissions. The key themes for ADASS XXXIV are:
* Proposal and Observation Preparation Tools
* The rise of AI for science and data center operations
* Extending the life of software and data
* User experience
* Data management and trusted repository in the Open Data era
* Roadblocks in Astronomical Data Analysis
* Metadata, semantics and data models applicable to data formats
* Real-time and near real-time processing pipelines
Program Organising Committee (POC)
Kathleen Labrie, POC Chair (NOIRLab-Gemini)
Xiuqin Wu, Deputy Chair (IPAC)
Mike Fitzpatrick, POC Exec (NOIRLab-CSDC)
Pascal Ballester (ESO)
Sébastien Derrière (CDS)
Kimberly DuPrie (STScI)
Ranpal Gill (AURA/Rubin Observatory)
Stephen Gwyn (CADC)
Benjamin Hugo (SARAO)
Alice Jacques (NOIRLab-CSDC)
Brian Kent (NRAO)
Michael Kramer (MPIfR)
Alessio Magro (UoM)
Bruno Mérin (ESAC)
Fabio Pasian (INAF)
Kai Polsterer (HITS gGmbH)
Rob Seaman (LPL, UArizona)
Yuji Shirasaki (NAOJ)
Mark Taylor (Bristol)
Peter Teuben (UMD)
James Tocknell (Macquarie U)
Stefan Wagner (U Heidelberg, HESS)
Kristian Zarb Adami (UXF, UoM, INAF)
Local Organizing Committee (LOC)
Alessio Magro, LOC Chair (UoM)
Kristian Zarb Adami, LOC Deputy Chair (UXF, UoM, INAF)
Andrea DeMarco (UoM)
Jackson Said (UoM)
Joseph Caruana (UoM)
Miguel Zammit (UoM)
Connor Sant Fournier (UoM)