Computational science is increasingly becoming the cornerstone of groundbreaking research across disciplines. However, the issue of reproducibility remains a major concern that calls for a collaborative, community-driven approach.
Interested? Join us for the conversation on September 28 - register to receive the connection details.
SGX3 Webinar: Reproducibility of Computational Research – A Community of Practice
SGX3 Webinar: Reproducibility of Computational Research – A Community of Practice
Remote event
Instructor
Sandra Gesing
Scientific Outreach and DEI Lead, University of Illinois Chicago
Sandra Gesing joined DPI as Scientific Outreach and DEI Lead in the research team. Her research focuses on science gateways, computational workflows as well as distributed and parallel computing which inherently leads to highly interdisciplinary projects. She is especially interested in sustainability of research software, usability of computational methods, and reproducibility of research results and she supports open science initiatives, i.e., she is an academic editor of PeerJ Computer Science and Frontiers. Sustainability of research software has many facets and she advocates for improving career paths for research software engineers and facilitators and for incentivizing their work via means beyond the traditional academic rewarding system.
