Secondary ion mass spectrometry (SIMS) has become an increasingly utilized tool in
biologically relevant studies. Of these, high lateral resolution methodologies using the …

Big data and data science are transforming the world in ways that spawn new concerns for
social scientists, such as the impacts of the internet on citizens and the media, the …

One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …

The global energy system is undergoing a major transition, and in energy planning and
decision-making across governments, industry and academia, models play a crucial role …

All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible
Research with R and RStudio, Second Edition brings together the skills and tools needed for …

Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …

Reproducible research---by its many names---has come to be regarded as a key concern
across disciplines and stakeholder groups. Funding agencies and journals, professional …

Ongoing technological developments have made it easier than ever before for scientists to
share their data, materials, and analysis code. Sharing data and analysis code makes it …

Many machine learning projects for new application areas involve teams of humans who
label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling …

The validity of research results depends on the reliability of analysis methods. In recent
years, there have been concerns about the validity of research that uses diffusion-weighted …