For her CSML independent work project, Joyce Luo is working on a study that uses machine learning to model and analyze the opioid epidemic in the United States and then using that model to inform the optimization of a specific policy intervention. For the scope of this project, she is attempting to optimize the location of opioid treatment facilities that offer medication assisted treatment across the country.

Within her major, Tavarria Zeigler is focusing on political theory. She became interested in statistical analysis in the context of politics through POL 345: Introduction to Quantitative Social Science with Rocío Titiunik, professor of politics. She is now well on her way to fulfilling her CSML certificate requirements.

Princeton Data Science Club (PDS) encourages undergraduate and graduate students to participate in Climate Hack.AI, an international competition among 25 top universities in the United States, Canada and the United Kingdom.

The goal of the competition is to use machine learning methods to develop the best predictive algorithm to…

In this recorded talk, Brandon M. Stewart introduces us to the interdisciplinary field known as: Text as Data. The study of human behavior is changing. In the last two decades, there has been an avalanche of new data: emails, tweets, Reddit posts, press releases and written books have all exploded. Social scientists realize they have a new…

Manufacturing robots are a modern wonder, building everything from packaged food to microchips.

Ryan Adams, a professor of computer science, agrees that these machines are the foundation of the modern economy, but he thinks there is a lot of room for improvement.

Olga Russakovsky’s Princeton Visual AI Lab develops artificial intelligence (AI) systems with new capabilities in computer vision, including automated object detection and image captioning.

Her team also creates tools to identify and mitigate biases in AI systems, and promote fairness and transparency.

If you want to wrap your mind around the concept of blockchain and cryptocurrency, you should look at the history and usage of the “rai stone,” according to Pranay Anchuri, data scientist at Princeton University.

In the Micronesia area of the Pacific Ocean, above Australia and Papua New Guinea, there is the tropical island Yap where…

The application of machine learning is growing across multiple disciplines, from astrophysics to politics. At first, it can seem challenging to know where to start or how to use machine learning if you have no prior background in the area.

To address this issue, the Center for Statistics and Machine Learning (CSML) held a three-hour…

Waheed U. Bajwa’s research is at the intersection of statistics, machine learning and signal processing. The latter discipline is an engineering subfield that concerns itself with analyzing or processing images, sound and other data.

Interview features three current Humanities Data Teaching Fellows—Akrish Adhikari (G4, French and Italian), Gyoonho Kong (G5, German), and Daniel Persia (G2, Spanish and Portuguese)—about their expectations for the fellowship, which included working with the Center for Digital Humanities and the Center for Statistics and Machine Learning to develop modules for the undergraduate course “Introduction to Data Science” (SML 201).