CompBioMed Session at the 14th Congress of the World Federation of Interventional and Therapeutic Neuroradiology, 16-19th October 2017, Budapest
As part of the 14th Congress of the World Federation of Interventional and Therapeutic Neuroradiology,…
Speaker: Prof. Dr. Victoria Stodden
Title: Implementing Reproducibility in Computational Science
Date: Monday, 20 February 2017, 11:00 a.m.
Location: Carl-Bosch-Auditorium, Studio Villa Bosch, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg (Studio entrance between Villa Bosch and HITS)
Short CV: Please see: http://stanford.edu/~vcs/Bio.html
Contact: Benedicta Frech (Benedicta.Frech@h-its.org, phone: 06221-533-263)
School of Information Sciences, University of Illinois at Urbana- Champaign
Presentation in English
Imagine querying the scholarly record for all image compression algorithms that have been applied to the famous “Barbara” image in the last five years (with citations), or all articles published using the well-known Acute Lymphoblastic Leukemia dataset from Golub et al. (1999). Queries such as these are natural questions for researchers, and are as yet effectively impossible. The scholarly community is taking steps to link data, code, workflows and other artifacts that support and enable the verification of the claims made in the scholarly record. In this talk I will frame a motivation for this effort — resolving reproducibility in computational science — and discuss recent steps to enable reproducibility including a recently funded NSF project, “Merging Science and Cyberinfrastructure Pathways: The Whole Tale”.