Date: Thursday, March 21, 2024
Time: 3:00 PM
Location: RM 1040 at NCSA
Zoom: https://go.ncsa.illinois.edu/EngageNCSA

Save the date for an afternoon of inspiration and collaboration:

Agenda:

  • 3:00 PM - 4:00 PM: Lightning Talks in RM 1040
  • 4:00 PM - 4:30 PM: Networking and Discussions in the Atrium

Do you have an exciting project to share with your colleagues? Don't miss the chance! Sign up for a Lightning Talk here!


Time

Item

Who

Notes

~5minWelcome

Yousaf Shah
Interim Associate Director for Engagement, NCSA


~10minLightning Talk:
NCSA/MBDH STEM Outreach Initiatives: Inspiring the Next Generation of STEM Explorers (recording)


J.D. Graham
Outreach And Engagement Specialist
Midwest Big Data Hub, NCSA

The presentation will highlight the NCSA and MBDH's efforts to engage students of all ages and backgrounds in STEM education. It showcases three major outreach programs implemented over the past year, each designed to spark curiosity, build skills, and foster a love for STEM fields. The initiatives covered include a data science summer camp for high school students, a STEM camp for middle school girls, and interactive after-school lessons for younger students.

~15min

Lightning Talk:

CEESD (recording)

Mike Campbell
Principal Research Engineer, NCSA

The Center for Exascale-Enabled Scramjet Design (CEESD) is developing and employing a unique end-to-end strategy for computational science and engineering with application in scramjet simulation and design. In this talk I will describe CEESD, and its approach to enabling computational scientists to express numerical models and execute them on modern HPC resources.

~10min

Lightning Talk:
Cosmology with Supernova Ia in the LSST Era (recording)

Ayan Mitra
CAPS Postdoctoral Fellow, NCSA

I will be talking about my involvement in the LSST collaboration, which is going to be operational in 2025. In this talk I will briefly highlight the goals of the LSST Dark Energy Science Collaboration (DESC). I will then talk about my contributions to the LSST and then present the results of cosmology forecast with LSST SNIa simulated datasets.
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