Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Scientific Discovery Tools

Scientific Discovery Tools

A fundamental challenge that every researcher is faced with today is navigating the deluge of scientific literature to keep up with the development in a field. The number of published articles has been increasing by an estimated 8-9% annually. In 2018 alone, more than 2.5 million articles were published worldwide in fields of science and engineering. Furthermore, the information that researchers need is scattered across scientific news outlets, publisher/society websites, social media platforms, videos, podcasts, blogs and conferences.

To help combat information overload, several new tools that apply artificial intelligence and machine learning have been made available. Scitrus and Meta offer a way to harness the deluge of information by creating customized feeds to fit individual research needs, while Sematic Scholar enables researchers to navigate research literature much more efficiently by extracting meaningful information with a deep semantic analytic engine.

It should be noted that these emerging tools are still in their early stages, and artificial intelligence technologies are far from perfect or without bias. Please use these tools critically. 

For more information, contact Wei Zhang ( or Andrea McLellan (

Ask Chat is Offline - Send an Email