For over 30 years, science photographer Felice Frankel has helped MIT professors, researchers, and students communicate their ...

Data visualisation and analysis techniques serve as the cornerstone for interpreting complex datasets across diverse scientific fields. These methods enable researchers to translate quantitative and ...

Data visualisation and chart analysis have evolved into essential tools for exploring and communicating complex quantitative information. Modern research within this field focuses on automating the ...

Computer scientists recently found that data-visualization experts have no agreed-upon understanding of who makes up one of their largest audiences -- novice users. The work is an important first step ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

“I’m a virologist at heart,” Lefkowitz said. “I’ve always been a virologist. And as much as computational work drives what I do, I do it because of my interest in biology, especially in viruses.” ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Data visualization is the front line of data analysis. It involves presenting data in a way that is understandable and useful. In this article, we delve into one of the most potent tools for data ...

Research in person and face perception has broadly focused on group-level consensus that individuals hold when making judgments of others (e.g., “X type of face looks trustworthy”). However, a growing ...