We invite you to the 35th annual conference on Astronomical Data Analysis Software and Systems.  The conference will be held November 9-13, 2025 in Görlitz and hosted by Deutsches Zentrum für Astrophysik (DZA), the German Center for Astrophysics.

Here is a quick reminder that the deadline for submitting your contribution to this year's ADASS in Görlitz is this Friday (except posters).

Submit your abstracts for Birds of a Feather, Focus Demos, and Oral Presentation now. You will need to register (no payment required) to submit an abstract.

Go to: https://indico.dzastro.de/event/4/registrations/

Important Dates

Abstracts:
5 September, 2025 - Deadline for abstract submission for:
⏩ Oral contributions
⏩Birds of a Feather proposals   (https://adass.org/BoF.html)
⏩Focus Demos

24 October, 2025 - Deadline for abstract submission for:
⏩Posters  (Capacity of 150 posters. Accepted until full.)

Registration:
31 August, 2025 - Deadline for Financial Aid Registration
15 September, 2025 - Early Bird Registration Deadline
01 November, 2025 - Final Registration Deadline - in-person
07 November, 2025 - Final Registration Deadline - remote participation

The key themes for ADASS XXXV

✔ Science platforms in the big data era
✔ Quality assurance and software testing
✔ Lessons learned  – Christophe Arviset
✔ Automation of data pipeline and workflows
✔ Collaborating with other software ecosystems and disciplines
✔ Technical and social aspects of data lifecycle management
✔ Theoretical astrophysics

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 meeting is an in-person event with a virtual component. 

The ADASS XXXV 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.