From laundry detergents and self-cleaning ovens to the manufacturing of fuels, plastics and medications, catalysts play a ...

In today’s AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast datasets. Traditional data analysis methods are often slow and struggle to ...

A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...

Generative artificial intelligence (AI) techniques are advancing rapidly and are becoming increasingly challenging to implement. Researchers, practitioners, and enthusiasts alike now require an ...

The Data Analysis and Research team works extensively with other CBPP divisions and supports the State Priorities Partnership, a network of independent state fiscal policy organizations.

A prevalent issue is the bottleneck in downstream data analysis, which arises due to a limited number of bioinformaticians, rapid generation of raw data, and variations in data analysis methods or ...

Basic assumptions, core connotations, and path methods of model modification—using confirmatory factor analysis as an example ...

This activity describes a cocurricular summer workshop carried out with undergraduate students who had no prior research experience. The activity combined the Boehm titration as a chemical method for ...