Participants are encouraged to develop and test innovative forecasting methods that ingest and process publicly available data sources to predict Military Activity, Non-violent Civil Unrest, and Infectious Disease in specific places of interest.
Participant forecasts will be scored across a three-month rolling window. Every month, IARPA will score those participants who have sent forecasts for three consecutive months. Scoring will be based on four metrics including forecast lead time, location accuracy, date accuracy, and facet actor/event-type matching. This challenge is scheduled to run from July 2018 until early 2019 when winners are announced.
Technologists, data scientists, and machine learning engineers who are skilled at breaking down complex data are encouraged to join. Individuals ranging from private industry and academia are all eligible to participate and win prizes. The Mercury Challenge Team believes success in this challenge can prove to be a strong addition to any data science practitioner’s portfolio.
The Mercury Challenge seeks innovative solutions and methods for the automated generation of event forecasts in the Middle East and North Africa.
The three specific event classes of interest are:
Congratulations to the winners of the Challenge!
Read the full Prize Calculation Documentation for all the details on prizes.
To be eligible to win a prize under this competition, an individual or entity:
Federal grantees may not use federal funds to develop challenge solutions unless consistent with the purpose of their grant award. Federal contractors may not use federal funds from a contract to develop challenge applications or to fund efforts in support of a challenge submission.
Please read the full Challenge Rules documentation for additional rules and eligibility requirements.
The Mercury Challenge Team has collected a number of resources that could assist participants in the challenge.
The Intelligence Advanced Research Projects Activity (IARPA) invests in high-risk, high-payoff research programs to tackle some of the most difficult challenges of the agencies and disciplines in the Intelligence Community (IC).