SciTransfer
Organization

VICESSE RESEARCH GMBH

Vienna research centre specializing in law enforcement innovation, financial crime analysis, and AI-driven security intelligence with strong ethics focus.

Research institutesecurityAT
H2020 projects
6
As coordinator
0
Total EC funding
€1.8M
Unique partners
82
What they do

Their core work

VICESSE is a Vienna-based research centre specializing in security research, with a strong focus on law enforcement methodologies, crime prevention, and counter-radicalisation. They develop evidence-based tools and approaches for policing, financial crime investigation, and countering violent extremism. Their work bridges criminology, AI-driven intelligence analysis, and policy evaluation — helping law enforcement agencies and policymakers adopt more effective, rights-compliant security practices across Europe.

Core expertise

What they specialise in

Law enforcement and policing innovationprimary
4 projects

Central to INSPEC2T (community policing), IMPRODOVA (domestic violence response), COPKIT (early-warning policing), and PROTAX (prosecution methods).

Counter-radicalisation and preventing violent extremismprimary
1 project

INDEED focused specifically on evidence-based approaches to preventing and countering radicalisation and de-radicalisation.

Financial crime and illicit money flowsprimary
2 projects

PROTAX addressed tax crimes, corruption, and crypto-currencies; TRACE tackled illicit financial flows, money laundering, and e-evidence.

AI and knowledge management for securityemerging
2 projects

COPKIT applied deep learning and spatial-temporal prediction for policing; TRACE used AI-driven crowd investigation knowledge graphs.

Ethics, human rights, and rule of law in security researchsecondary
2 projects

TRACE and INDEED both explicitly address ethics, rule of law, and human rights dimensions of security technologies.

Evolution & trajectory

How they've shifted over time

Early focus
Policing and prosecution methods
Recent focus
AI-driven security intelligence

VICESSE's early H2020 work (2015–2018) centred on practical law enforcement tools — community policing, frontline domestic violence response, and traditional prosecution methods for tax crimes and corruption. From 2019 onward, their focus shifted decisively toward technology-driven security intelligence: AI, deep learning, knowledge graphs, OSINT, and spatial-temporal prediction for counter-terrorism and financial crime tracking. This evolution shows a research centre that started in criminology and policing policy and has progressively added computational and AI capabilities to its toolkit.

VICESSE is moving toward AI and data-driven intelligence tools for law enforcement, making them a strong partner for future projects combining security research with machine learning and open-source intelligence.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European25 countries collaborated

VICESSE operates exclusively as a consortium partner — they have never coordinated an H2020 project. With 82 unique partners across 25 countries, they maintain a wide and diverse network rather than returning to the same collaborators repeatedly. This suggests they are valued as a specialist contributor that different consortia seek out for their specific security research and evaluation expertise.

VICESSE has collaborated with 82 different partners across 25 countries, indicating a broad pan-European network. Their connections span law enforcement agencies, universities, and technology providers across the EU security research community.

Why partner with them

What sets them apart

VICESSE occupies a distinctive niche at the intersection of criminology, policy evaluation, and AI-driven security technology — a combination few research centres offer. Their consistent focus on ethics and human rights alongside technical security work makes them particularly valuable for consortia that need to demonstrate responsible innovation. For coordinators building security proposals, VICESSE brings both the social science rigour to evaluate interventions and the technical awareness to work with AI and data analytics teams.

Notable projects

Highlights from their portfolio

  • PROTAX
    Largest single grant (EUR 518,375) — addressed the intersection of tax crimes, corruption, and crypto-currencies, a topic with growing relevance.
  • TRACE
    Most technically advanced project, combining AI, knowledge graphs, and e-evidence to track illicit financial flows and money laundering across borders.
  • INDEED
    Represents their counter-radicalisation expertise with a comprehensive evidence-based evaluation framework for preventing and countering violent extremism.
Cross-sector capabilities
Digital technologies and AIJustice and legal systemsPublic policy and governanceFinancial services and compliance
Analysis note: Six projects with reasonable keyword coverage provide a clear profile. Some early projects (INSPEC2T, IMPRODOVA) lack keyword data, so the evolution analysis relies partly on project titles. The zero-coordinator pattern across all six projects is a strong signal about their operating model.