SciTransfer
Organization

AKADEMIA POLICJI W SZCZYTNIE

Polish police academy contributing law enforcement expertise to EU security research — from officer training to AI-powered crime analytics.

University research groupsecurityPLNo active H2020 projects
H2020 projects
6
As coordinator
0
Total EC funding
€456K
Unique partners
115
What they do

Their core work

Akademia Policji w Szczytnie (Police Academy in Szczytno) is Poland's specialized higher education institution for law enforcement training and police sciences. In EU research, they contribute operational expertise on policing practices — from training curricula and soft skills development for peacekeeping missions to technical work on crime analytics, multimedia evidence processing, and counter-terrorism tools. Their consistent role across security projects reflects their position as a domain expert that bridges academic police training with real-world investigative and emergency response needs.

Core expertise

What they specialise in

Law enforcement training and curriculum developmentprimary
3 projects

GAP focused on gamified training for peacekeeping soft skills; ILEAnet built a networking platform for law enforcement agencies; these reflect their core training mission.

Crime analytics and intelligence toolsprimary
3 projects

MAGNETO developed multimedia analysis for organised crime investigation; SPIRIT addressed privacy-preserving identity analysis; TAKEDOWN studied organised crime and terrorist network dimensions.

Emergency response and civil protectionsecondary
2 projects

FASTER developed technologies for first responder operations; ILEAnet included civil protection alongside law enforcement networking.

Counter-terrorism and organised crime preventionsecondary
2 projects

TAKEDOWN and MAGNETO both targeted organised crime and terrorism, with MAGNETO specifically addressing counter-terrorism through big data and multimedia analysis.

AI and big data for security applicationsemerging
2 projects

MAGNETO used machine learning, big data fusion, and augmented intelligence for evidence processing; SPIRIT applied advanced analytics for identity resolution.

Evolution & trajectory

How they've shifted over time

Early focus
Training and soft skills
Recent focus
AI-driven crime analytics

Their early projects (2016–2017) centred on soft skills — peacekeeping training through gaming simulations (GAP), community-building for law enforcement networks (ILEAnet), and understanding criminal networks conceptually (TAKEDOWN). From 2018 onward, the focus shifted decisively toward technical tools: machine learning for multimedia evidence analysis (MAGNETO), privacy-preserving intelligence systems (SPIRIT), and first responder technologies (FASTER). The trajectory shows a police academy moving from training-oriented research into applied security technology and AI-assisted investigation.

Moving toward applied AI and data analytics for law enforcement, making them an increasingly relevant partner for security technology projects that need end-user validation from police practitioners.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European27 countries collaborated

Exclusively a participant — they have never coordinated an H2020 project, which is typical for a specialized end-user institution that contributes domain expertise rather than driving technical development. With 115 unique partners across 27 countries in just 6 projects, they operate in large security consortia (averaging ~19 partners per project). This means they are well-networked and experienced in multi-partner coordination, but their role is clearly as a practitioner voice and testing ground rather than a project driver.

Remarkably broad network for their project count: 115 unique partners across 27 countries, reflecting participation in large EU security consortia. Their reach spans nearly all EU member states, typical of the Security pillar's emphasis on cross-border collaboration.

Why partner with them

What sets them apart

As a police academy, they bring something most universities and tech companies cannot: direct operational knowledge of policing, investigation workflows, and law enforcement training needs. They serve as a credible end-user partner who can validate whether a security tool or training method actually works in a police context. For any consortium building a security project that needs a law enforcement perspective from Central Europe, APwSz offers an institutional partner with six projects of experience and a strong European network.

Notable projects

Highlights from their portfolio

  • MAGNETO
    Their largest funded project (EUR 107,500), applying machine learning and big data to organised crime investigation — marks their shift into technical security tools.
  • GAP
    Innovative use of online gaming and roleplaying for peacekeeping training, directly tied to their core mission as a police training institution.
  • SPIRIT
    Highest single EC contribution (EUR 131,113), working on privacy-preserving intelligence analysis — a sensitive and high-demand area in law enforcement.
Cross-sector capabilities
Digital technologies (AI, machine learning, big data analytics)Society and governance (conflict prevention, diversity, peacebuilding)Education and training (gamified learning, curriculum development)Civil protection and emergency response
Analysis note: Profile is based on 6 projects with moderate keyword coverage. Several projects (TAKEDOWN, SPIRIT, FASTER) lack detailed keywords, so expertise mapping relies partly on project titles and descriptions. The organisation's role as end-user/practitioner contributor is clear, but the depth of their technical contributions versus advisory input cannot be fully determined from this data alone.