Data-driven, Interactive Scientific Articles in a Collaborative Environment with Authorea [OSA; WEE]
Most tools that scientists use for the preparation of scholarly manuscripts, such as Microsoft Word and LaTeX, function offline and don't account for the digital-born nature of research objects. Further, most authoring tools in use today are not designed for collaboration. As scientific collaborations grow in size, research transparency and the attribution of scholarly credit are at stake. I will show how Authorea allows scientists to write rich data-driven manuscripts on the web; articles that natively offer readers a dynamic, interactive experience with an article's full text, images, data, and code, paving the way to increased data sharing, research reproducibility, and Open Science. I will also demonstrate how Authorea differs from Overleaf and ShareLaTeX.
Please bring your laptop to actively participate in the demo (suggested; not mandatory)