Contributed and invited talks on software and tools being developed to enable the analysis of large datasets like the LSST. This session will include talks and a community conversation about emerging needs for doing science in the era of Rubin.

Talks:

• S55: Jeremy Kubica - LINCC Frameworks Team DP1 Update [12+3]
• S78: Aritra Ghosh - Hyrax: A Framework for Scalable Machine Learning & Unsupervised Discovery in the Rubin Era [7+3]
• Beth Willman/Destry Saul/Adam Seever - Project Dovetail [7+3]
• S48: Claudio Antonio Lopez Cortez - Efficient Angular Mask Generation for Wide-Field Astronomical Surveys [7+3]
• Melissa DeLucchi: LINCC Frameworks July 2025 Hackathon @ RCW: Report [~10]
• Community breakout conversations about existing and future needs (Meg Schwamb, Jeremy Kubica, Beth Willman) [~30]

Go to the list of all contributed abstracts.