BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250822T115805Z
LOCATION:Room 5.0B15 & 16
DTSTART;TZID=Europe/Stockholm:20250617T113000
DTEND;TZID=Europe/Stockholm:20250617T133000
UID:submissions.pasc-conference.org_PASC25_sess130@linklings.com
SUMMARY:MS3B - Challenges and Opportunities for Next-Generation Research A
 pplications and Workflows
DESCRIPTION:We are increasingly engaged in transdisciplinary research to a
 ddress the complex challenges facing our world. These challenges include t
 ransitioning to renewable energy systems, advancing personalized medicine,
  utilizing digital twins, and accurately predicting climate change and its
  impacts on local and regional ecosystems. As we look toward a future shap
 ed by computing, data, and AI, we aim to leverage various digital services
  & methodologies. In this context, application and workflow-focused approa
 ches can play a crucial role in advancing scientific frontiers by harnessi
 ng the potential of integration. This approach could also serve as a long-
 term strategy for upholding the principles of sustainability, openness, an
 d transparency, particularly within federated ecosystems. Thus, engaging i
 n discussions about next-generation application workflows is just as cruci
 al for advancing research as conversations concerning the development of d
 igital infrastructure. This minisymposium will convene experts from variou
 s domains, each focusing on different aspects of the scientific research l
 ifecycle. Speakers will critically examine the role of AI, explore perform
 ance and productivity beyond Moore's Law, and discuss how generative strat
 egies can empower physics-based simulations. Representing early-career res
 earchers, Dr. Filippo Gatti from France will discuss generative strategies
  for physics-based simulations.\n\nODISSEI: High Performance Computing for
  Social Science Research\n\nODISSEI’s advanced scientific computing infras
 tructure demonstrates how high-performance computing (HPC) can transform s
 ocial science research. By leveraging a national supercomputer, ODISSEI pr
 ovides social scientists with a secure, powerful HPC environment to proces
 s massive longitudinal dat...\n\n\nKasia Karpinska and Tom Emery (Erasmus 
 University Rotterdam)\n---------------------\nReimagining Performance and 
 Reproducibility in the Post-Moore Era: Innovations in Checkpointing and Wo
 rkflow Management\n\nIn the post-Moore era, the quest for enhanced perform
 ance and reproducibility is more critical than ever. As researchers and en
 gineers in high-performance computing (HPC) and scientific computing, reim
 agining key areas such as algorithms, hardware architecture, and software 
 is essential to drive pro...\n\n\nMichela Taufer (University of Tennessee)
 \n---------------------\nResisting Contextual Collapse through the iPlaces
  Platform: Data Trusts, High-Performance Computing, and Digital Twin Techn
 ology to Empower Local Communities\n\nField Stations advance our understan
 ding of the physical, biogeochemical, ecological, social, and economic int
 eractions that constitute place. Society has sophisticated ‘open science’ 
 (OS)(cyberinfrastructure and progress is being made toward digital twins o
 f Earth systems; yet local com...\n\n\nNeil Davies (Gump South Pacific Res
 earch Station, University of California; Berkeley Institute for Data Scien
 ce, University of California, Berkeley) and Erin Robinson (Metadata Game C
 hangers, LLC)\n---------------------\nIntegrating Fourier Neural Operators
  with Diffusion Models to Improve the Spectral Representation of Synthetic
  Earthquake Ground Motion Response\n\nThis study integrates the Multiple-I
 nput Fourier Neural Operator (MIFNO) with the diffusion model by Gabrielid
 is et al. (2024) to address challenges in capturing mid-frequency details 
 in synthetic earthquake ground motion. MIFNO, a computationally efficient 
 surrogate model for seismic wave propagati...\n\n\nFilippo Gatti (Universi
 té Paris-Saclay), Fanny Lehmann (ETH AI Center), Niccolò Perrone and Stefa
 nia Fresca (Politecnico di Milano), and Hugo Gabrielidis (Université Paris
 -Saclay)\n\nDomain: Chemistry and Materials, Climate, Weather, and Earth S
 ciences, Applied Social Sciences and Humanities, Engineering, Life Science
 s, Physics, Computational Methods and Applied Mathematics\n\nSession Chair
 s: Irene Bonati (SURF), Ewa Deelman (University of Southern California), a
 nd Sagar Dolas (SURF)
END:VEVENT
END:VCALENDAR
