|Twenty six police from Ha Noi and other localities join the ARLEMP training programme to combat people smuggling and human trafficking. — VNS Photo courtesy of Australian Embassy
HA NOI (VNS) — Twenty-six police officers from Ha Noi and other localities are meeting in the capital city for a training programme to combat people smuggling and human trafficking in the region.
The 39th Asia Region Law Enforcement Management Program (ARLEMP) is an innovative three-week training programme between November 10 and November 27, which builds police co-operation to address cross-border crimes such as drug trafficking, money laundering, and cyber-crime, in addition to people smuggling and human trafficking.
"People smugglers and human traffickers exploit conditions, turning human suffering into a lucrative financial business. In doing so, they also exploit by any means governance vulnerabilities, to work around domestic and international law," Australian Ambassador Hugh Borrowman said.
The ambassador said that through the outcomes of ARLEMP participants "can realistically challenge those who engage in crime and harm our societies".
"ARLEMP 39 will be a great platform for the participants to share experiences, learn from each other for better practices in prevention and suppression of people smuggling and its affiliated crimes," Major General Nguyen Phong Hoa, Deputy Director of the General Department of Police said.
ARLEMP is a long-term partnership between the Vietnamese Ministry of Public Security through the General Department of Police (GDP), the Australian Federal Police (AFP) and RMIT International University in Viet Nam.
Several ARLEMP graduates have been appointed to international roles such as police liaison officers with the United Nations and other leading international taskforces addressing transnational crime.
Since its inception in 2005, over 200 Vietnamese law enforcement officers have graduated from the programme, to join another 550 law enforcement officials from 25 countries in South and South East Asia. — VNS