Elaine M. Raybourn

Principal Member of the Technical Staff (Social Science; Information and Computing Sciences; Communication Technology and Digital Media Studies)

Albuquerque, NM

ELAINE M. RAYBOURN, Ph.D. is a social scientist in the Applied Information Sciences Center at Sandia National Laboratories. She focuses on the future of remote work, virtual teams, immersive virtual environments, transmedia learning, methods for software productivity, and scientific visualization. Elaine is the Sandia Institutional PI for the Department of Energy’s (DOE) Exascale Computing Project (ECP) Interoperable Design of Extreme-scale Application Software (IDEAS) where she leads PSIP and the ECP panel series Strategies for Working Remotely. Her research in remote work has been featured in the podcasts Science in Parallel, Let's Talk Exascale, and at supercomputing conferences SC20 and SC21. Her research in transmedia learning, games, and immersive simulations has been featured at TEDx, GDC, SXSW-EDU, and the UNESCO Futures Literacy Summit. As a European Research Consortium for Informatics and Mathematics (ERCIM) Fellow, she has lived and worked in the UK, Germany, and France.


  • A new paradigm for serious games: Transmedia learning for more effective training and education https://doi.org/10.1016/j.jocs.2013.08.005
  • TDCS guided using fMRI significantly accelerates learning to identify concealed objects https://doi.org/10.1016/j.neuroimage.2010.11.036
  • Applying simulation experience design methods to creating serious game-based adaptive training systems https://doi.org/10.1016/j.intcom.2006.08.001
  • Engage Learners with Transmedia Storytelling | TEDx https://www.youtube.com/watch?v=_j-2Ct9V9cQ
  • Scaling productivity and innovation on the path to exascale with a “Team of Teams” approach https://doi.org/10.1007/978-3-030-22338-0_33
  • ECP Strategies for Working Remotely https://www.exascaleproject.org/remote-panel-archive/
  • Productivity & Sustainability Improvement Planning | PSIP https://bssw.io/psip/

Elaine M. Raybourn's public data