Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

“Right now we’re trying to catch disinformation campaigns,” said David Waldrop, CEO and Founder of ICG Solutions based in Potomac, Maryland. Waldrop is talking about his latest project in big data ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

A research team led by the University of Tsukuba has revolutionized the visualization of neuronal activity in the brain through a simplified mathematical analysis. Previous methods of visualizing ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

Pascal Pinter, product manager for Material Research and Development, Volume Graphics Fig. 1: Orientation analysis carried out on a glass fiber-reinforced sheet molding compound (SMC). Each direction ...

Topological data analysis (TDA) is a methodology designed to study qualitative properties (shapes) of data using topological, statistical, and computational ideas. This topological framework has ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...