Phase 2, the “Differential Privacy Synthetic Data Challenge” will entail a sequence of three marathon matches run on the Topcoder platform, asking contestants to design and implement their own synthetic data generation algorithms, mathematically prove their algorithm satisfies differential privacy, and then enter it to compete against others’ algorithms on empirical accuracy over real data, with the prospect of advancing research in the field of Differential Privacy.

Anyone is welcome to participate in Phase 2, regardless of whether or not you participated in Phase 1. Competitors may enter the contest at any point to participate between November 2018 and April 2019. Topcoder will be running three separate Marathon Matches and will bring the registrations from previous matches to the next matches.


Join, learn, and compete for $150,000 in prizes!


If you’re not a differential privacy expert, and you’d like to learn, we’ll have tutorials to help you catch up and compete!

For more information on this data challenge funded through Public Safety Communications Research (PSCR) at NIST, or any federal government challenge, go to

Sign Up Early: As we gear up to officially launch the challenge on November 1st, we’re sharing resources for you to learn the math behind differential privacy. Sign Up now to ensure you receive the upcoming newsletters.