Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


NSF CISE Distinguished Lecture- Improving the Reproducibility of Computational Research

March 24th, 2017 / in Announcements, NSF, Research News / by Helen Wright

The National Science Foundation (NSF) Directorate for Computer and Information Science and Engineering (CISE) is pleased to announce a distinguished lecture on Wednesday, March 29, 2017 at 2:00 PM EDT by Russell Poldrack, from Stanford University, called Improving the Reproducibility of Computational Research.

Russell A. Poldrack is the Albert Ray Lang Professor in the Department of Psychology at Stanford University, and Director of the Stanford Center for Reproducible Neuroscience.  His research uses neuroimaging to understand the brain systems underlying decision making and executive function.  His lab is also engaged in the development of neuroinformatics tools to help improve the reproducibility and transparency of neuroscience, including the OpenfMRI.org and Neurovault.org data sharing projects and the Cognitive Atlas ontology.

Abstract:

As the data collection ability of nearly every area of science has ballooned, so has the potential for problematic research practices that can lead to irreproducible results.  I will discuss a set of approaches that we are developing to address this reproducibility crisis in the context of human neuroimaging research.  These include an integrated platform for the analysis and open sharing of neuroimaging data, frameworks for the description of data and metadata, and the use of software containers and virtual machines to enhance computational reproducibility.  I will show how these approaches have the potential to enable a new era of reproducibility in science.

To join the webinar, please register here

NSF CISE Distinguished Lecture- Improving the Reproducibility of Computational Research