Speaker: Dr. Ian Mitchell and Dr. Dhavide Aruliah
Computers have become a vital tool in all areas of research. Unfortunately the software and data that enables this research is too often developed and managed in a haphazard fashion. Reproducible research is the idea that research contributions in the computational and data sciences involve not only publication of an article in an academic venue, but also release of sufficient components of the software and data such that the results claimed in the publication can be reproduced and extended by other scientists. Reproducible research therefore is a cornerstone of open access to scientific scholarship. Starting in January 2012, the presenters will be offering a pilot course on tools, techniques & strategies to improve the reproducibility of scientific research of a computational or data-intensive nature. The goals of this panel discussion are to inform the UBC community of our intentions with this course and to solicit feedback from the community on what the course should contain. Topics may include: tools and best-practices for software management; data provenance, anonymization and maintenance; intellectual property issues; avenues for effective dissemination; case studies (both good and bad).
Dr. Ian M. Mitchell completed his doctoral work in engineering at Stanford University in 2002, spent a year as a postdoctoral researcher at the University of California at Berkeley and is now an Associate Professor of Computer Science at the University of British Columbia. His research interests include scientific computing, cyber-physical systems, formal methods for verification robotics and reproducible research.
Dr. Dhavide Aruliah obtained his doctorate from the Department of Computer Science at UBC in 2001. He was a postdoctoral fellow at the Fields Institute for Research in the Mathematical Sciences and at the University of Western Ontario. He has been at the University of Ontario Institute of Technology (Oshawa, ON) since 2004 where he is currently an associate professor in the Faculty of Science. At present, he is a Visiting Professor in Department of Computer Science at UBC. His research interests are in scientific computing, specifically in computational inverse problems and the numerical solution of PDEs. He is also interested in software design for scientific computing, specifically in how scientists actually use scientific software