GovTech Challenges

• On average, 620 police forces are deployed in Lithuania every day. The scheduling of the forces, the formulation of tasks and the planning of patrol routes are entrusted to the officers in charge of the different units.
• A wide range of data needs to be assessed in order to properly plan the work of the force. However, this is difficult without the aid of additional IT system tools, and planning is therefore subjective and does not take into account all relevant environmental factors. It is often observed that the working hours of most forces do not coincide with the peak times of events. In addition, the deployment of forces is often not linked to the likelihood of events in a given area, which leads to excessive time spent on the scene, failure to prevent offences and failure to apprehend offenders.

• An algorithm model using artificial intelligence (the “Police Force Response Event Prediction Model”) is needed to provide a time and area based forecast of events based on available data, which can be used by force planners.
• The resulting model should allow the user to select the forecast time period, location and forecast probabilities of the selected events (e.g. forecast of events for the next day, week). The model should allow the use of a variety of datasets from different sources, both from the police and from other authorities.
• The model should allow for the possibility to extend the list of data sources. It should be as automated as possible and not require constant supervision.

Prizes will be awarded to the first, second and third place winners:

• 1st prize – 7 600 EUR
• 2nd prize – 6 600 EUR
• 3rd prize – 5 600 EUR

The deadline for receipt of projects or applications for participation is 20 September 2021, 09:00.

For a detailed description of the challenge and the call for projects, see the Central Public Procurement System (CVP IS).