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Can Data Scientists Produce Fair and Accurate Recidivism Forecasts?

The U.S. National Institute of Justice’s (NIJ) “Recidivism Forecasting Challenge” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States. The Challenge offers an opportunity for contestants to win prize money totaling over $700,000 for their development of a recidivism forecasting model using data provided by NIJ. The winning Challenge forecasts will be used to help improve recidivism rates, the likelihood of a past criminal offender to reoffend, and inform policies and practices.

Calling All Data Professionals: SQream Launches the Massive Data Video Challenge

SQream’s Massive Data Revolution Video Challenge is open to data leaders such as CIOs and CDOs, as well as practitioners including DBAs, Data Analysts, Data Engineers, Data Scientists. This article contains more information about the Massive Data Revolution Video Challenge, and video entries may be submitted by December 16th.

High School Students Win Top Two Prizes for Congressional Data Challenge at the Library of Congress

The Library of Congress announced the winners of the Congressional Data Challenge, a competition asking participants to use legislative data sets sourced from Congress.gov and other platforms to develop digital projects that analyze, interpret or share congressional data in user-friendly ways. High school students won the top-two prizes for the data-based competition, which was open to the general public.