DataX Research and Impact

Ten Research Projects Receive DataX Funding
Aug. 4, 2021
Author
Written by Sharon Adarlo
Ten new interdisciplinary research projects have won funding from Princeton University’s Schmidt DataX Fund, with the goal of spreading and deepening the use of artificial intelligence and machine learning across campus in order to accelerate discovery. The 10 faculty projects, supported through a major gift from Schmidt Futures, involve 19 researchers and several departments and programs, from computer science to politics. The projects explore a variety of subjects, including an analysis of how money and politics interact, discovering and developing new materials exhibiting quantum properties, and advancing natural language processing through the automatic construction of novel knowledge bases.
DataX – Jose A. Garrido Torres: using machine learning to push innovation in chemistry
April 5, 2021
Author
Written by Sharon Adarlo

The mysteries and fun of chemistry lured Jose A. Garrido Torres to devote his academic career to the discipline. But as he pursued the subject, Garrido Torres still wanted to maintain his interest in computers, particularly the application of computing to data science. In his academic career, Garrido Torres combined…

DataX – Amy Winecoff: working at the intersection of data, technology, social sciences
March 29, 2021
Author
Written by Sharon Adarlo

Amy Winecoff’s path to becoming a data scientist at Princeton University was a circuitous one but it has uniquely prepared her for the interdisciplinary work she is doing which touches on engineering, technology, public policy, and the social sciences.

Before starting at Princeton in…

New event series on recommender systems
March 24, 2021
Author
Written by Sharon Adarlo

DataX and the Center for Information Technology Policy are sponsoring a new reading group on recommender systems (RS) that's meeting biweekly starting March 30, 2021.

The goal of the RS reading group is to gain deeper understanding both of seminal work as well as emerging ideas in the…

DataX – Brian Arnold: using data science to answer questions in biology
March 22, 2021
Author
Written by Sharon Adarlo

In his past research, Brian Arnold traveled Europe to study a common wildflower, Arabidopsis arenosa, which has white to lavender-colored flowers that resemble violets at a glance and grows on rocky outcrops in the Alps and the Carpathian Mountains.

Arnold studied this…

Popular Computing Bootcamp Expands into Two-Week Event
Feb. 19, 2021
Author
Written by Sharon Adarlo
It was a productive winter break for attendees of Princeton University’s virtual two-week computing bootcamp, which had over 300 registrants and covered a wide range of subjects, from foundational skills on programming languages to high performance computing. This was the first time the Princeton Research Computing Bootcamp, in its third year, was expanded to two weeks after growing in popularity since its inception in 2018 as a four-day event. The bootcamp, which was held from January 19 to 29, drew mostly graduate students and postdocs but also a few undergraduates and faculty members. Participants hailed from 37 departments, including Princeton Plasma Physics Laboratory and the Institute for Advanced Study.
DataX - Unveiling the History of the Milky Way Galaxy
Nov. 23, 2020
Author
Written by Sharon Adarlo

With the launch of the Gaia satellite in 2013, scientists have been receiving an unprecedented quantity and quality of data on a billion stars in the Milky Way. But the data sets are incomplete. Gaia does not currently provide the complete position and velocity coordinates for all billion stars.

DataX – using data science to explore and study mass social interactions and online behavior
Nov. 18, 2020
Author
Written by Sharon Adarlo

It is common for researchers to conduct field studies to study mass social behavior in online networks, such as Facebook or Reddit. These studies lead to qualitative-based conclusions. However, until recently, replicating these interactions in the lab and at scale has been hard to do.

A…

DataX – advancing the frontiers of computer vision and natural language processing
Nov. 16, 2020
Author
Written by Sharon Adarlo

Over the last several years, researchers have developed advanced machine learning tools to provide captions for still images and video. Applications for advanced image caption tools could include an assistant robot for the visually impaired or a robot that performs reconnaissance missions in environments…

DataX progress on chemistry, neuroscience and federated learning research
June 15, 2020
Author
Written by Sharon Adarlo

Under Princeton University’s DataX Fund, several research teams have been busy exploring how data science tools can speed up scientific discovery in a wide range of disciplines.

From these teams, we profile three projects that have yielded promising results, respectively in creating new…