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Which key themes would you like to see in the ADASS 2026 program?

saved
Ideas
Pros and cons
 
Votes
Knowledge discovery in the age of AI
by Gretchen Stahlman (on behalf of the Unified Astronomy Thesaurus)
Includes the role of metadata, semantics, and LLMs in finding relevant information (data, literat... more
 
Currently ML tools are not very good at accurately describing astronomical content. How do we sol... more
by Greg Schwarz AAS Data Editor
1
 
20
Vote

Fuling Chen, Kevin Vinsen, Anaïs Oberto and 17 more

Standardizing usability, accessibility and security in astronomy software
by Yan Grange
 
Perhaps add here the concept of sustainability?
4
 
This is an issue everywhere, not just astronomy
by Marcelo
 
20
Vote

Sam Kagan, Janet Evans, John Swinbank and 17 more

Machine learning / AI
 
Examples of how this has worked successfully in the past would be great, as well as a discussion ... more
by Paul Hancock
2
17
Vote

Fuling Chen, Kevin Vinsen, bhugo and 14 more

Sustainable Science Platforms: Operating Compute-Next-to-Data at Scale
by Atefeh Karimi
As astronomical datasets continue to grow, many archives are exploring or adopting models where u... more
 
The NRAO archive does this to decrease the time for users to get the analysis results. I'd be hap... more
by Sam Kagan (NRAO archive co-maintainer)
16
Vote

Kim Hoogenberg, Yan Grange, Sam Kagan and 13 more

Cross-instrument collaborative software development experiences
by Yan Grange
Would be nice to have a session on successful projects where multiple infrastructures worked toge... more
 
someone in my SPHEREx team at IPAC could give a talk on how SPHEREx uses LSST software infrastruc... more
by Phani Velicheti
15
Vote

Matthieu Baumann, Hanno Holties, Marcelo and 12 more

The non-technical processes of astronomical software and data
by James Tocknell
Includes how/who to hire, how to structure teams, how to find time for maintenance, and all those... more
 
These processes can dramatically affect the morale, collaboration, and efficiency of teams.
by Vicki Laidler
12
Vote

Janet Evans, Tom Kamphuis, John Swinbank and 9 more

Data analysis piplines
10
Vote

Pfesi van zyl, Areg Mickaelian, Jeff Smith and 7 more

Data platforms
 
Not clear what this should actually cover. Depending on that it seems to be a catch-all for some ... more
by Andreas Wicenec
9
Vote

Andreas Wicenec, Janet Evans, Christophe Arviset and 6 more

The Virtual Observatory as a tool for multimessenger astrophysics
by Markus Demleitner
Investigations across the spectrum or spanning messengers are tricky, partly out of necessity bec... more
9
Vote

Pfesi van Zyl, S.G. Navarro, JJ and 6 more

The role of AI/best practices in writing astronomy software (proc, analysis, qa, testing)
by Gregory
9
Vote

Janet Evans, Tom Kamphuis, Hanno Holties and 6 more

Career pathways for "astronomers who code"
by Paul Hancock
How do we attract and retain the valuable skills and knowledge of research software engineers whe... more
9
Vote

Pfesi van Zyl, Vicki Laidler, Keto and 6 more

How to put physical knowledge into ML analysis
by Katharina Morik
 
Extremely timely. This topic will become increasingly more important.
by Giuseppe Longo
7
Vote

Fuling Chen, Kevin Vinsen, Andreas Wicenec and 4 more

User experience for astronomy tools
5
Vote

Sam Kagan, Noa Peters, Areg Mickaelian and 2 more

Astronomical citizen science project design and platform development with the help of AI
by Chenzhou Cui
4
Vote

Pfesi van Zyl, Areg Mickaelian, Jianrong Shi and 1 more

Communities in the astrophysical research domain: interoperable standards and organisational aspects
There seem to be a lot of fragmentation in open standardisation in the astrophysics domain (that ... more
4
Vote

JJ, Mubdi Rahman, Etollerud and 1 more

How ML/AI is making previously intractable questions tractable?
by Gregory
 
This topic is expecially interesting bbecause since almost 20 years noone has provided a good ans... more
by Giuseppe Longo
3
Vote
Giuseppe Longo
Gregory
Marcelo
Generative AI in astrophysical research and scientific software development
by Igor Chilingarian
Two in one: (i) using AI (LLMs) for research, i.e. finding references, reviewing the literature, ... more
 
This is at the moment completely meaningless
by Giuseppe Longo
 
AI agentic coding tools are becoming ubiquitous and revolutionizing software development. How do ... more
by Jeff Smith
3
Vote
Jeff Smith
Ricky N
Silvana G. Navarro
Astronomy in a era of rising hardware costs
by James Tocknell
LLM providers are driving large increases in hardware costs (e.g. 500% increases in the cost of r... more
3
Vote
JJ
John Swinbank
Mees Altena
GPU processing and infrastructure for astronomy
 
Regardless if the current AI trends will survive, astronomy is very behind in the use of GPUs. Na... more
by Keto D. Zhang
2
Vote
James Tocknell
Keto D. Zhang
Machiner Learning data management and archiving
by Bruce B
 
Duplicate of another idea. This could be incorporated into the more general Topic
by Paul Hancock
1
2
Vote
Hossen Teimoorinia
Ricky N
Improving astronomy tools through usability feedback and testing
1
Vote
Sam Kagan
How ML/AI has accelerated traditional workflows? (e.g. search and discovery, qa analysis)
by Gregory
1
Vote
Gregory
0
Vote

Comments

https://www.tricider.com/brainstorming/3OTPwkABqpp