**FDO-CWFR virtual working meeting: using Jupyter to support canonical workflows in research** The Canonical Workflows For Research (CWFR) initiative (https://fairdo.org/wg/fdo-cwfr/ and https://osf.io/2cy86/) invites you to an open working meeting on the usage of the Jupyter framework in enabling & supporting canonical workflows. The meeting is scheduled for 14:00-17:00 CEST on June 2, 2021. The tentative agenda includes: • Welcome and Introduction to CWFR (Maggie Hellström, U Lund) • Introduction to Jupyter Principles (Zhiming Zhao, U v Amsterdam) • Jupyter application in LiDAR data processing (Zhiming Zhao, U v Amsterdam) • Jupyter application in weather forecasting (Amirpasha Mozaffari, Research Center Jülich) • Discussion about how to implement the CWFR use cases on Machine Learning and Experiments (https://osf.io/umhy5/) • Discussion about how to integrate the FAIR Digital Object (FDO) approach in Jupyter Further details will be described at the CWFR website: https://osf.io/2cy86/. It should be noted that we have chosen the title “Working Meeting” to indicate that we will not just have presentations, but also discuss how CWFR thoughts can be implemented. Questions from participants related to their concrete challenges will be welcome. If you have questions about the event, please contact peter.wittenburg@mpi.nl Materials from the meeting (slides, recording) will be shared with participants afterwards.