AACR Journals Webinar:
Code Ocean: A Tool to Support the Delivery of Reproducible Analysis with Dr. Benjamin Haibe-Kains

Moderated by: Daniel Evanko, PhD Director of Journals Operations & Systems, AACR
Recorded: 11/12/2020

Watch the recording of the AACR Journals Webinar – Code Ocean: A Tool to Support the Delivery of Reproducible Analysis featuring Benjamin Haibe-Kains, PhD of University of Toronto as he presents how Code Ocean allows for the inclusion of an executable instance of the code for peer review and publication.

Implemented into a new AACR submission workflow, Code Ocean captures a self-contained executable compute capsule which includes the code, data, results, and run environment. This compute capsule included in the peer review process along with the article, provides substantial internal operational benefits to the research group itself and offers opportunities to provide updates on published results. Find out more.

Stay tuned for the Q&A session at the end of the recording.

About the Featured Speaker:

Dr. Benjamin Haibe-Kains is a Senior Scientist at the Princess Margaret Cancer Centre (PM), University Health Network, an Associate Professor in the Medical Biophysics department of the University of Toronto and an Affiliate Faculty at the Vector Institute for Artificial Intelligence (AI). His research focuses on the integration of high-throughput data from various sources to simultaneously analyze multiple facets of carcinogenesis. Dr. Haibe-Kains’ team is analyzing large-scale radiological and (pharmaco)genomic datasets to develop new prognostic and predictive models to improve cancer care.