Chao Gong has more than a decade of experience in geospatial data analysis, and has worked in national-level surveying and ...

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...

At this stage it’s important to follow the best practices in your discipline. Whether you are using your desktop, a computing cluster, or a Jupyter notebook on Google, you’ll need to have a plan for ...

Meta-analysis is an objective examination of published data from many studies of the same research topic identified through a literature search. Through the use of rigorous statistical methods, it can ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...

Institutional investors face complex decisions—where to allocate capital, which managers to trust, how to weather volatility. These choices can’t rely on instinct alone. They require data, structure, ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

Particle data analysis is a computational technique used to process and interpret data from particle detectors in high-energy, nuclear, or astroparticle physics experiments. It encompasses event ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...