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DTSTAMP:20260625T133338Z
LOCATION:Bldg. 6 - 001 - Plenary Room
DTSTART;TZID=Europe/Stockholm:20260630T121600
DTEND;TZID=Europe/Stockholm:20260630T121700
UID:submissions.pasc-conference.org_PASC26_sess129_pos129@linklings.com
SUMMARY:P29 - Perspectives on Teamwork and AI in Scientific Computing
DESCRIPTION:Olivia B. Newton (University of Montana), Anshu Dubey (Argonne
  National Laboratory), Denice Ward Hood (University of Illinois Urbana-Cha
 mpaign), Lois Curfman McInnes (Argonne National Laboratory), and Santiago 
 Ospina Tabares (University of Illinois Urbana-Champaign)\n\nThe developmen
 t and use of high-quality software—a primary mechanism for sustained colla
 boration and progress in scientific computing—is undergoing profound chang
 e, driven by increasing complexity in scientific drivers and computing arc
 hitectures and the rapid adoption of AI, placing demands on how teams coll
 aborate and share expertise. The Next-Generation Ecosystems for Scientific
  Computing project addresses challenges in team-based scientific software 
 through coordinated research and community engagement. A central component
  is understanding collaboration practices and patterns of AI use in scient
 ific computing to inform the development and curation of resources that su
 pport cross-disciplinary teamwork.\n\nThis poster presents foundational em
 pirical work for the project, focusing on the design, execution, and analy
 sis of a community survey and follow-up interviews. We surveyed 79 scienti
 sts and software professionals to understand needs for enhancing teamwork 
 and leveraging AI in service of accelerated scientific discovery. Results 
 indicate that while teamwork is widely valued in scientific computing, awa
 reness of collaboration best practices and access to training remain limit
 ed. Although most participants reported using AI, less than half indicated
  that their teams had considered AI policies. Findings underscore the need
  for intentional socio-technical co-design in scientific computing (see ht
 tps://arxiv.org/abs/2510.03413) to support reproducible, reliable, and tru
 stworthy science.\n\nSession Chair: Tobias Hodel (University of Bern, Swit
 zerland)\n\n
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