Back

Minisymposium Presentation

Honing Ethical Mindsets in Scientific Software Teams

Wednesday, June 5, 2024
9:30
-
10:00
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

Presenter

Elaine M.
Raybourn
-
Sandia National Laboratories

Elaine M. Raybourn, Ph.D., is a social scientist in Applied Cognitive Science at Sandia National Laboratories. While at Sandia National Laboratories she has worked with the UK as a guest researcher at British Telecom; Germany (Fraunhofer FIT), and France (INRIA) as a Fellow of the European Research Consortium in Informatics and Mathematics (ERCIM). She was the Sandia National Laboratories Institutional PI for Interoperable Design of Extreme-scale Application Software (IDEAS-ECP) from 2018-2023, and currently supports the U.S. Department of Energy Office of Science next generation software stewardship. She led the exascale computing project (ECP) panel series on "strategies for working remotely" which was featured in ASCR Discovery Magazine in 2022. Her research focuses on complex socio-technical systems of scientific software teams of teams, collaborative immersive virtual environments, transmedia learning, HPC AI/ML ethics, and the diffusion of innovations to incentivize program modernization and cultural change. She is a certified Agile Product Owner and holds a Graduate Certificate in Modeling and Simulation of Behavioral Cybersecurity from the University of Central Florida. Dr. Raybourn was the Super Computing (SC21) Scientific Visualization & Data Analytics Showcase Chair, and the Conference Chairman of IT2EC 2019 which was held in Stockholm, Sweden.

Description

Recent advances in high performance computing (HPC) and artificial intelligence (AI) have reignited discussions for more responsible and ethical computing within the context of cultures, sociotechnical ecosystems, and evolving societal norms. This talk provides practical guidelines that scientists, educators, and practitioners alike can employ to become more aware of personal values that may unconsciously shape approaches to computation, design, and ethics. Emphasis of this talk will be placed on honing individual ethical mindsets and its application to scientific and research software teams.

Authors