Information

Educational materials for informatics and statistics analysis methods on DP2 data enabled by LINCC Frameworks tools

• Location: Pittsburgh - Carnegie Mellon University (CMU)
• Dates: 4-8 January, 2027
• Summary: Supported by Schmidt Sciences and LSST Discovery Alliance, this event will bring together astrostatisticians, data scientists, and any other ISSC members, to collaborate with the Rubin Community Science Team, LSST Interdisciplinary Network for Collaboration and Computing (LINCC) Frameworks team, and members of the other LSST Science Collaborations (SCs) to catalyze and foster interdisciplinary collaboration. To embed ISSC members in DP2 science projects motivated by methodological needs across all eight SCs, participants will work toward two parallel goals: (A) Participants will explore scientifically valuable applications of cutting-edge analysis techniques in interdisciplinary use cases to form the basis of lasting, fruitful collaborations. (1) While getting acquainted with DP2 data access modalities, participants will expand the DP2 tutorial suite to include educational materials demonstrating statistics, data science, and computing concepts in the context LSST.

Application

Travel support is available, and virtual participation is possible. Please fill out this form to apply to participate and request consideration for travel funding.

To ensure that the hackathon projects lead to longer-term collaborations that continue beyond the week of the event, selected participants will prepare for the hackathon by defining project concepts and forming groups. Check out the proposed projects in the issues on the hackathon GitHub repository and express interest in the comments, or post your own. Examples of proposed projects will be added here shortly!

Logistics

Lodging Recommendations

https://www.cmu.edu/parents/events/travel-and-hotels.html

If you want to check distances on the map, the building we’ll be in on campus is Wean Hall. Oakland area hotels will be the closest to campus.

• Courtyard Pittsburgh University Center - easy walk to campus, and close to easy dining options
• Hilton Garden Inn Pittsburgh-University Place - another easy walk.
• Hotel Indigo Pittsburgh University-Oakland - nice hotel with typically low rates. It looks walkable, but there’s a significant elevation change!!

Some hotels may offer discounted rates to Carnegie Mellon visitors. Make sure to ask about any CMU special rates when making reservations.

Agenda

Coming soon!