This challenge is no longer accepting new submissions.
Real-Time Crime Forecasting Challenge
Inviting our nation’s brightest minds to develop algorithms that advance crime forecasting.
Department of Justice - Office of Justice Programs
Type of Challenge: Scientific
Submission Start: 02/22/2017 12:00 AM ET
Submission End: 02/28/2017 11:59 PM ET
This challenge is externally hosted.
You can view the challenge details here: http://nij.gov/forecasting-challenge
DescriptionThis challenge seeks to harness the advances in data science to address the challenges of crime and justice. It encourages data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal is to develop algorithms that advance place-based crime forecasting through the use of data from one police jurisdiction.
Warren, Yurick, Ledray, Scarborough
TAMERZONE, Intuidex, BATES ANALYTICS, TADIC, pennaiken, ANDY_NIJ, WILLIAM HERLANDS, KUBQR1, STEVEN YURICK, MURRAY MIRON, DYLAN FITZPATRICK, CCC, PTL
TEAM Kernel Glitches, PASDA, Codilime, GRIER, DataikuInc, JeremyHeffner, IMPAQ, GARAN TANALYTICS, Conduent Public Safety Solutions, MARUAN ALSHEDIVAT
Cash Prize Amount: $200000
40 prizes of $5,000 each.
Cash Prize Amount: $400000
40 prizes of $10,000 each.
Large Business Prize
Cash Prize Amount: $600000
40 prizes of $15,000 each.
RulesSee the Real-Time Crime Forecasting Challenge on NIJ.gov for rules.
Effectiveness of the forecast
NIJ will use the Prediction Accuracy Index to measure the effectiveness of the forecasts. See NIJ.gov for details: http://nij.gov//funding/pages/fy16-crime-forecasting-challenge.aspx#judgingcriteria
Efficiency of the forecast
NIJ will use the Predictive Efficiency Index to measure the efficiency of the forecasts. See NIJ.gov for details: http://nij.gov//funding/pages/fy16-crime-forecasting-challenge.aspx#judgingcriteria
How To EnterEntries must be submitted through the Office of Justice Programs’ Grants Management System (GMS). Contestants must submit entries under the appropriate contestant type by selecting the applicable solicitation within GMS. Contestant types types are:
- Student: Enrolled as a full-time student in high school or as a full-time, degree-seeking student in an undergraduate program (associate or bachelor’s degree).
- Small Team/Business: A team comprised of 1-20 individuals, or a small business with less than 21 employees. Teams should enter using a team name and provide a list of all individuals on the team. A small business should enter using the name of its business.
- Large Business: A business with more than 20 employees. A large business should enter using the name of its business.