March 28 to 30, 2022, in New York City (in-person participation preferred, with remote participation supported on a best-effort basis).
With the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) starting in the near future, the time is ripe to make sure the community has the software it needs to carry out all of the exciting analyses that LSST will enable! The goal of this workshop is to bring together scientists to identify key early science cases and to discuss the computational challenges in executing them successfully.
By bringing together scientists with expertise in key LSST science cases to discuss the most significant challenges in carrying out their analyses given the scale and complexity of the LSST data set, this workshop will serve the following groups:
- Scientists who have exciting analysis ideas that could benefit from significant computational resources or software/analysis infrastructure (e.g. tools to analyze Rubin light curves at scale).
- Individuals working on LINCC frameworks, who want to identify opportunities to develop analysis infrastructure that will support the LSST science community;
- Developers of analysis software working within individual LSST Science Collaborations (SCs) who are interested in identifying potential collaborators with common interests/needs in other LSST SCs;
- Researchers interested in what software and computing infrastructure will be available to carry out their LSST analyses, whether from Rubin Observatory or elsewhere in the science community;
- Teams developing Independent Data Access Centers (IDACs), who want to understand what infrastructure is needed to enable analyses by the LSST science community;
- And more!
The workshop will enable development of a set of exciting scientific use cases for early LSST data, along with identified computational challenges, with commonalities, potential solutions, and collaborative efforts identified. The goal is to synthesize this material into a white paper that would serve as the workshop deliverable and that will be of broad use to the community, supporting the further development of the new collaborations that will be established during the workshop.
Hence, organizers seek the participation in this workshop (in-person preferred, but remote possible) of members of each of the LSST Science Collaborations, along with representation from relevant stakeholders within Rubin Observatory, NOIRLab and partners (such as Independent Data Access Centers), and individuals working on LINCC Frameworks, a five-year project to produce software tools crucial to the realization of the full scientific potential of the LSST.
The size and format of the workshop has been constructed to maximize the time for collaboration and discussion.
Scientific Organization committee: Katelyn Breivik, Andy Connolly, K. E. Saavik Ford, Mario Juric, Simon Krughoff, Knut Olsen, Wil O’Mullane, Adrian Price-Whelan, Rachel Mandelbaum, Adam Miller, Chad Schafer, Ashley Villar
For a full agenda and further details, please visit our event website here.
Schedule: The workshop will take place over three days, March 28 to 30. The workshop will incorporate ample time for active work and discussion. Overview material for review by participants will be shared in advance of the workshop.
Travel Support: We anticipate supporting the travel and lodging for all selected participants who are not from the NY area. Breakfast and lunch are provided as part of the meeting for all participants.
Please note that when arriving at Flatiron Institute, you will need to bring the following items with you to gain entry to the building:
- Government ID
- Proof of vaccination
- Completed Guest Health Screening Questionnaire (must be completed no more than 24 hours in advance of your visit)
Registration for the “From Data to Software to Science Workshop” has now closed. Due to space limitations and to foster the collaborative environment envisioned for this workshop, participation will be limited. Those who have expressed interest in in-person or virtual attendance of the full workshop (plenary and breakout sessions) will be informed about the results of the selection process by February 18, 2022. However, we are pleased to announce that virtual attendance of plenary sessions is open to all who are interested!