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Programme · November 3–5, 2026

Agenda

The symposium programme is below. It features plenary talks, parallel focused science sessions, interactive hands-on sessions, breakout co-working, and opportunities for collaboration. Details are subject to change.

Symposium programme — subject to change. Scroll sideways to see all three days, open it at full size, or download it as a PDF.

The inaugural Schmidt Observatory System Symposium will bring together astronomers, instrumentalists, and data scientists to explore the science enabled by a new generation of coordinated observatories. Sessions will broadly span topics from technical orientation to ambitious science planning — introducing the capabilities of each facility, demonstrating tools and simulators, and starting the collective work of defining the large-scale observing programs that will define the system's early science legacy. The format is deliberately interactive: alongside plenary talks, expect hands-on hackathons, focused breakout discussions, and working group sessions designed to turn ideas into the seeds for proposals.

A central theme is the power of cross-observatory science — what becomes possible when DSA, Argus, Lazuli, and LFAST operate as a coordinated system rather than independent facilities. Significant time will be dedicated to the practicalities of community access: how time is allocated, how proposals are structured, and what tools are available to help you plan observations and write competitive programs. Whether you are scoping a future proposal, looking to connect with collaborators, or simply want to understand what the Schmidt Observatory System makes possible, this symposium is your gateway.

Topics covered will include

  • Capabilities and science cases for DSA, Lazuli, LFAST, and Argus
  • Cross-observatory and cross-facility science programs
  • Time-domain and multi-messenger astrophysics (TDAMM), including target-of-opportunity coordination
  • Cosmology, transients, radio astronomy, and exoplanets
  • Exposure time calculators, simulators, and proposal tools (hands-on)
  • Data infrastructure, alert brokers, and data access
  • AI and machine learning in the context of the Schmidt Observatory System
  • Large community proposals: how to build them, how to get time
  • Software and data ecosystem: LINCC Frameworks and beyond
  • Future directions: missing capabilities and the long-term evolution of the system