Quantitative Research

“Data is the new oil.” — Clive Humby

Quantitative research uses statistical analysis and modeling to understand trends in data sets and make predictions about future outcomes. Coding languages like R which are designed for computing and visualizing statistics are widely used in quantitative research. Quantitative research methods help researchers make advancements in a wide variety of disciplines, from hard sciences like biology, chemistry, and physics to social sciences like economics, psychology, political science, and public health. Data is abundant, but it is only through the work of quantitative researchers that it is transformed from an impenetrable mass of numbers into beautiful visualizations with clear explanations, which can be extended to form models with practical applications. Whether you’re interested in becoming a financial consultant, a research scientist, or an actuary, quantitative research can help you develop powerful, valuable skills for understanding and modeling data.

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Quantitative scholars

Varun Venkatesh
Varun Venkatesh
Dublin High School
Polygence Scholar 2022
Symposium Presenter

Project: “Statistical Model for Identifying Unclear and Doubtfully Restored Signs of the Indus Script“

Siddharth Chander
Siddharth Chander
Dougherty Valley High School
Polygence Scholar 2021
Symposium Presenter

Project: “Quantum Advantage: How Do Quantum Computers Perform Faster than Classical Computers in Some Situations?“

Catharine Lee
Catharine Lee
The Spence School
Polygence Scholar 2021
Symposium Presenter

Project: “Statistically Analyzing Club Loft, Ball Position, and Swing Size to Predict Total Distances of Short Game Shots“