Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM)

Algorithms, Data, and Public Policy Technology Lab

United States Supreme Court Building

The NYU Algorithms, Data, and Public Policy Technology (ADAPPT) Lab aims to use technology to help government address urgent challenges. The lab devises new approaches in generative AI, machine learning, and statistics. They then integrate these methods into software they deploy with public sector partners. 

The lab is led by director and founder, Dr. Alex Chohlas-Wood and co-director, Ravi Shroff. Recent projects include “Race-blind charging” and “Tackling the digital evidence explosion”.

Visit the lab’s website

Leadership

Alex Chohlas-Wood

Assistant Professor of Computational Social Science

alex.cw@nyu.edu

Ravi Shroff

Associate Professor of Applied Statistics

ravi.shroff@nyu.edu

Researchers

Kaushik Mohan

Kaushik Mohan is a Ph.D student in the Statistics and Computational Social Science program at NYU. His research sits at the intersection of machine learning and social policy, where he develops tools to analyze the complexities of human trajectories, including career paths, life courses, and interactions with the criminal justice system.

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Muskan Walia

Muskan Walia is a first year PhD student in SCSS. Her research focuses on the development of artificial intelligence, machine learning, and scientific computing methods in collaboration with government agencies to tackle pressing social issues and improve institutional decision-making processes.

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