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DTSTART;TZID=Europe/Stockholm:20240603T143000
DTEND;TZID=Europe/Stockholm:20240603T163000
UID:submissions.pasc-conference.org_PASC24_sess157@linklings.com
SUMMARY:MS2C - Innovations Unleashed: The Future of Scientific Research wi
 th Cloud Labs and Self-Driving Labs
DESCRIPTION:Minisymposium\n\nThe integration of artificial intelligence (A
 I), machine learning (ML), and automated instrumentation is transforming r
 esearch through Cloud Labs and Self-Driving Labs (SDLs). Positioned strate
 gically, these labs enhance accessibility and integrate computing and data
  analysis, enabling researchers to leverage cutting-edge technology global
 ly. A national network of Cloud Labs and SDLs is envisioned to promote syn
 ergy in AI, ML, computing, and data analysis. The minisymposium prioritize
 s efficiency, reproducibility, inclusivity, collaboration, and cost-effect
 iveness, fostering a robust ecosystem. Addressing challenges, it targets r
 eproducibility in Cloud Labs and SDLs, emphasizing parallels between compu
 ting and experimental workflows. Pursuing replicable results in virtual en
 vironments and automated SDL procedures builds trust in scientific validit
 y. Standardized practices, rigorous documentation, and transparent methodo
 logies, whether in digital Cloud Labs or physical SDLs, are crucial for ad
 vancing scientific inquiry and bolstering trust in research outcomes. The 
 minisymposium aims to unite experts, researchers, and industry professiona
 ls to showcase innovations, discuss challenges, explore funding opportunit
 ies, and share success stories in integrating computing and data analysis 
 within research paradigms.\n\nThe Interplay of Computational and Experimen
 tal Workflows\n\nFor the past two decades, computational workflows and wor
 kflow management systems have enabled the automation of complex computing 
 applications. They have empowered scientists to describe their computation
 al problems in terms of tasks that need to be executed, the data they need
  to process, and in w...\n\n\nEwa Deelman (University of Southern Californ
 ia)\n---------------------\nOptimizing Dataflow Pipelines from Self-Drivin
 g Labs to the Cloud\n\nThe rapid advancements in cloud computing and the i
 ntegration of experimental facilities, including self-driving labs, have r
 esulted in an era where scientists can generate unprecedented amounts of d
 ata and conduct more extensive analyses across various scientific domains,
  including chemistry, mater...\n\n\nMichela Taufer (University of Tennesse
 e)\n---------------------\nThe Mixed Impacts of Clouds for Reproducible Re
 search\n\nCloud environments have democratized access to large compute cen
 ters with easy to use interfaces and straightforward cost models. While th
 is has lowered the barriers to many scientific disciplines to make reprodu
 cible computational experiments and data analysis, many of these enabling 
 technologies c...\n\n\nJay Lofstead (Sandia National Laboratories)\n------
 ---------------\nAccelerated Materials and Molecular Discovery with Self-D
 riving Fluidic Labs\n\nAccelerating the discovery of new molecules and mat
 erials, as well as green and sustainable ways to synthesize and manufactur
 e them, will profoundly impact the worldwide challenges in energy, sustain
 ability, and healthcare. The current human-dependent paradigm of experimen
 tal research in chemical an...\n\n\nMilad Abolhasani (North Carolina State
  University)\n\nDomain: Chemistry and Materials, Climate, Weather, and Ear
 th Sciences, Engineering, Life Sciences, Physics, Computational Methods an
 d Applied Mathematics\n\nSession Chairs: Ewa Deelman (University of Southe
 rn California) and Michela Taufer (University of Tennessee)
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