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DTSTART;TZID=America/Chicago:20251117T105500
DTEND;TZID=America/Chicago:20251117T112000
UID:submissions.supercomputing.org_SC25_sess203_ws_bphpcte111@linklings.co
 m
SUMMARY:Experience and Outcomes Organizing a Hackathon in the Physical Sci
 ences
DESCRIPTION:Aaron Jezghani (Georgia Institute of Technology, The Nab Colla
 boration) and Jason Fry (Eastern Kentucky University, The Nab Collaboratio
 n)\n\nDespite its growing importance in physical sciences, research comput
 ing with cluster resources remains difficult to access and sustain, especi
 ally in long-term, multi-institutional projects. Challenges include site-s
 pecific workflows, evolving software stacks, and rapid changes in hardware
  post-Generative AI. The Nab collaboration, conducting a precision test of
  the Standard Model at Oak Ridge National Laboratory, hosted a hackathon t
 o address these issues. Over four half-days, ~25 participants engaged in t
 raining and collaborative problem-solving across four priority areas, supp
 orted by mentors and structured sessions. Post-event surveys showed improv
 ed computational knowledge and strong interest in recurring events. This p
 aper shares insights from organizing the hackathon and discusses scalable 
 strategies for computational training in experimental research.\n\nTag: Ed
 ucation & Workforce Development\n\nRecording: Livestreamed, Recorded\n\nRe
 gistration Category: Technical Program Reg Pass, Workshop Reg Pass\n\nSess
 ion Chairs: Nitin Sukhija (Slippery Rock University of Pennsylvania); Scot
 t Lathrop (University of Illinois Urbana-Champaign); Evguenia Alexandrova 
 (Hartree Centre, STFC; Science and Technology Facilities Council (STFC)); 
 and Julie Mullen (Massachusetts Institute of Technology (MIT), Lincoln Lab
 oratory)\n\n
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