The University of Arizona

Events & News

CS Colloquium

DateThursday, October 8, 2015
Time11:00 am
Concludes12:15 pm
LocationGould-Simpson 906
DetailsPlease join us for coffee and light refreshments at 11am, Gould-Simpson, 9th Floor Atrium.

Faculty Hosts: Christian Collberg and Jane Bambauer
SpeakerVictoria Stodden, Ph.D.
TitleAssociate Professor, Graduate School of Library and Information Science
AffiliationUniversity of Illinois at Urbana-Champaign

Resolving Reproducibility in Computational Science: Tools, Policy, and Culture

As the use of computation becomes ever more pervasive in all fields of research, we are faced with new questions regarding the nature of the scholarly record. Massive data pervades scientific research and analysis algorithms are being combined in increasingly complicated processing pipelines. Much of the knowledge being generated with the aid computers today does not have the same quality as traditional knowledge, and traditional standards of review and dissemination do not generally enable verification of the published findings. In this talk, Dr. Stodden will unpack the concept of reproducibility into three sub-concepts: empirical, statistical, and computational [1]. She will then discuss approaches to resolving irreproducibility including: computational tools and publishing modalities [2], policy initiatives and Intellectual Property law [3], dissemination standards, and cultural considerations. Some of this research is described in her co-edited books, Implementing Reproducible Research and Privacy, Big Data, and the Public Good. Time permitting, she will discuss current policy initiatives emanating from the Whitehouse and funding agencies.


Victoria completed both her PhD in statistics and her law degree at Stanford University. She is the developer of the Reproducible Research Standard, a suite of open licensing recommendations for the dissemination of computational results, and winner of the Kaltura Prize for Access to Knowledge Writing. She is the founder of the open source platform, designed to study the verification of code and data associated with published results and to enable independent and public cloud-based validation of methods and findings. She is also a co-founder of, an open platform connecting data and code to published articles. Victoria was awarded the NSF EAGER grant "Policy Design for Reproducibility and Data Sharing in Computational Science." She is also the creator and curator of SparseLab, a collaborative platform for reproducible computational research in underdetermined systems. She is a nominated member of the Sigma Xi scientific research society.