Combating Fraud and Corruption in and by the Public Sector
Date: 05 July 2016
Time: 09:00
Duration: 4 days
Location: Lake Starnberg (near Munich)
Cost: Reduced fee for public authorities: € 2.900,- (excl. VAT). Regular fee: € 3.500,- (excl. VAT)
Organiser: Lexxion Verlagsgesellschaft mbH
Web Link: http://www.lexxion.de/en/verlagsprogramm-konferenzen/eu-funds/combating-fraud-and-corruption-in-and-by-the-public-sector.html
Description:
Fraud and corruption in the public sector dramatically harm the economy, public finances as well as the reputation and credibility of the public institution!
Fraud and corruption are evolving in ever new forms, especially with the use of new technologies, these practices happen to proceed in a complex, hardly traceable way. Fraudulent and corrupt actions in the public sector are often exceeding the financial losses directly involved, enormously impacting upon the economy and public finances as well as the reputation and credibility of the public institution. Investigations, especially if not performed effectively, will be cost-intensive and lengthy.
Public authorities need to implement proactive measures and tools to effectively prevent and detect fraud and corruption!
Therefore, public authorities need to be increasingly vigilant in setting-up anti-corruption and fraud systems and implementing appropriate policies and procedures of transparency, integrity and accountability to assist with the prevention and early detection of fraud and corruption. Risk managers and anti-corruption officers in public bodies need to be aware of preventive and detective measures and strategies but also to enable and empower the employees of the institution to understand the principles of fraud and corruption, how to report it and the impact thereof.
Overview
Day 1: The Anti-Fraud Cycle: From Identifying Risks to Successfully Combating Fraud and Corruption
Day 2: Prevention and Detection of Fraud and Corruption
Day 3: Fraud Investigation, Management and Control
Day 4: Ethical Hacking Workshop & New Fraud Patterns and Risks
