Academic literature reviews have traditionally relied on techniques such as keyword
searches and accumulation of relevant back-references, using databases like Google …

Large scale analysis of source code, and in particular scientific source code, holds the
promise of better understanding the data science process, identifying analytical best …

Data Scientists leverage common sense reasoning and domain knowledge to understand
and enrich data for building predictive models. In recent years, we have witnessed a surge …

Science is facing a reproducibility crisis. Overcoming it would require concerted efforts to
replicate prior studies, but the incentives for researchers are currently weak, as replicating …

Data Science as a field has received enormous interest in recent times due to the various
technological advancements combined with advanced computing capabilities. This makes …

Analysts make many, sometimes arbitrary, decisions throughout the data analysis pipeline,
yet different choices can lead to divergent conclusions. The flexibility of making analytic …