A year-long project “Strengthening Law Enforcement Analytical Capacity in Preventing and Detecting Corruption Crimes Against EU Financial Interests” concludes in an international seminar at the Special Investigation Service of the Republic of Lithuania on Friday, 22nd November 2019. The project was funded under the HERCULE III Programme administered by the European Anti-Fraud Office of the European Commission (OLAF). During the seminar representatives from Austria, Slovakia, Latvia, Estonia and Lithuania were presented with the project progress, results, and outcomes.
"This project is an opportunity for strengthening data-driven corruption risk management by developing a big data analytics model that will provide a more effective and timely identification and analysis of corruption risks in order to prevent the manifestation of corruption-related offenses," said Dr. Margarita Švedkauskienė, the head of the Strategic Analysis Division assessing the success of the project.
During the closing event of the HERCULE III project STT presented the application of the big data analysis model in anti-corruption. The results of the first pilot studies in identifying corruption risks in the areas of territory planning, local governance and administration of EU funds by means of the acquired analytical software, were also discussed.
The aim of the project was to enhance data-driven and evidence-based approaches in corruption and fraud risk management in order to prevent damage to the EU and national financial interests.
The project has expanded STT’s technical data analysis capabilities by integrating advanced data analysis tools into existing analytics system. Moreover, the strategical, tactical, and operational skills of the officers to detect corruption risks and its manifestation were enhanced. The new tools have enabled a speedier and more efficient detection of possible corruption-related acts and their modus operandi, as well as better reporting and delivery of relevant information to the decision makers in a timely manner.
By the project funds STT analytical platform was supplemented by integrated software and hardware solutions: visual associative analytics software, geographic information system, text analysis software, analytical processes management and automation software, digital information placement and high-dimensional imaging hardware.
In the course of the project, STT had also organized round-table discussions with three expert groups: representatives of the managing authorities for Operational Programme for the European Union funds' Investments, law enforcement, academia and NGO. A total of 46 representatives from 24 different institutions participated in the discussions, and were invited to attend the project closing seminar.
Project envisaged short-term outcomes:
- Timely detection and elimination of corruption-related threats and risks to the EU and national financial interests.
- Effectively prevent and disclose systemic (grand) corruption cases, which are detrimental to the EU and the country.
- Effectively identify the risks of the foreign bribery in the international business transactions.
- Implementation of evidence-based anti-corruption measures.
Project envisaged long-term outcomes:
- Reduce corruption treats and risks to the EU and national financial interests.
- Reduce the prevalence of corruption.
- Reduce the damage caused by corruption to national and EU financial interests.
- Enhance integrity culture in public and private sector.
Project was funded under the HERCULE III Programme administered by OLAF (HERCULE-2018-TA-AG/831525-ACIPC). Project value: EUR 457 016. Project duration – 12 months.