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Beth Plale
Beth Plale
Professor and Executive Director, Pervasive Technology Institute
Beth A Plale is the Executive Director of IU’s Pervasive Technology Institute and Michael A and Laurie Burns McRobbie Bicentennial Professor of Computer Engineering both at Indiana University Bloomington (IU). Plale recently completed a 3-year term as a science advisor at the National Science Foundation (NSF) (2017-2021) working on open science within NSF, across federal funding agencies, and with the NSF community. Dr. Plale has a long career studying issues around use of data in scientific research, and how trust in science and engineering research can be strengthened through technology and policy. Her earlier contributions are in scientific workflow systems, science gateways, data and metadata management systems, and data provenance. Dr. Plale’s current research and policy interests are in open science and reproducibility: novel software and policy solutions that amplify science rigor and transparency, drawing on the FAIR principles, persistent IDs, and machine actionability of data as FAIR digital objects; scientific research infrastructure that democratizes access to the resources particularly that fuel AI development; and AI accountability: software that can measure the accountability of an AI entity in accordance with properties exhibited at all levels of the software stack.
Indiana University Bloomington

Public Documents 1
Reproducibility Practice in High Performance Computing: Community Survey Results
Beth Plale

Beth Plale

and 2 more

August 02, 2021
The integrity of science and engineering research is grounded in assumptions of rigor and transparency on the part of those engaging in such research. HPC community effort to strengthen rigor and transparency take the form of reproducibility efforts. In a recent survey of the SC conference community, we collected information about the SC Reproducibility Initiative activities. We present the survey results in this paper. Results show that the reproducibility initiative activities have contributed to higher levels of awareness on the part of SC conference technical program participants, and hint at contributing to greater scientific impact for the published papers of the SC conference series. Stringent point-of-manuscript-submission verification is problematic for reasons we point out, as are inherent difficulties of computational reproducibility in HPC. Future efforts should better decouple the community educational goals from goals that specifically strengthen a research work's potential for long-term impact through reuse 5-10 years down the road.

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