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Title: A Roadmap to Robust Science for High-throughput Applications: The Scientists’ Perspective
This poster presents our first steps to define a roadmap to robust science for high-throughput applications used in scientific discovery. These applications combine multiple components into increasingly complex multi-modal workflows that are often executed in concert on heterogeneous systems. The increasing complexity hinders the ability of scientists to generate robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Scientists must withstand and overcome adverse conditions such as heterogeneous and unreliable architectures at all scales (including extreme scale), rigorous testing under uncertainties, unexplainable algorithms in machine learning, and black-box methods. This poster presents findings and recommendations to build a roadmap to overcome these challenges and enable robust science. The data was collected from an international community of scientists during a virtual world cafe in February 2021  more » « less
Award ID(s):
2028923 2028930
PAR ID:
10392352
Author(s) / Creator(s):
; ; ; ;
Editor(s):
IEEE Computer Science
Date Published:
Journal Name:
17th IEEE International Conference on eScience, eScience 2021
Page Range / eLocation ID:
247 to 248
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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