The use of computational methods and tools to deepen our understanding of long-standing questions in the social sciences has been rapidly growing in recent years. This Collection includes manuscripts ...

That instinct—the belief that difficult scientific problems could be approached differently, or better, through ...

Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. Computational Data Science (CDS) Core Courses are classified into five areas: Data Analytics and Visualization, Data ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

The 5th International Conference on Computational Techniques: Recent Trends and Issues (ICCT-2026), organised by the Department of Computer Science and Engineering at Invertis University, brought ...

The ability to deeply analyze large and complex data sets is, and will continue to be, a valuable skill in industry, government and nonprofit sectors. The volume of data being collected and needing ...

BUFFALO, N.Y. — Siwei Lyu, a University at Buffalo expert on the forensics of deepfakes and other AI-generated media, has been named director of the university's Institute for Artificial Intelligence ...

Be a part of the climate solution using data and advanced technologies to inform decisions. Identify key patterns in temperature changes, water levels and species populations. Guide policy towards ...

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...