Victoria Stodden, Assistant Professor, Department of Statistics, Columbia University
Scientific computation is emerging as absolutely central to the scientific method, but the prevalence of very relaxed practices is leading to a credibility crisis in many scientific fields. It is impossible to verify most of the results that computational scientists present at conferences and in papers today. Computational science is error-prone and traditional scientific publication is incapable of finding and rooting out errors in scientific computation. A necessary response to this crisis is reproducible research – in which all code and data underlying the published results is made openly available. In this talk I discuss tools for code and data release and open licensing to facilitate code and data reuse, called the Reproducible Research Standard.