Award: Synthetic Data Generation with Large, Real-World Data

Award Date: 9/24/2024
Project Title: Synthetic Data Generation with Large, Real-World Data
Project Performer: Westat
Project Partner: Tumult Labs
Award Amount: $992,873.00
Objective: This project explores how synthetic data generation, a type of privacy-enhancing technology, works with large real-world data (that is, datasets with over 30 billion rows of data) in a secure super compute environment. It will produce a framework to inform a synthetic data toolkit that will include but not be limited to methods to assess privacy risk, data utility and open-source AI methods for generating synthetic data. This is a joint project between the National AI Research Resource (NAIRR) pilot and the NSDS demonstration project. These are independent initiatives with expected synergies as reflected in the CHIPS and Science Act requirement that the NSDS demonstration project consult with the NAIRR Task Force in NSDS development.
Period of Performance: September 2024 – August 2026
Point of contact: Minsun Riddles | Westat | minsunriddles@westat.com

Request for Solutions (closed)