This booklet was developed by Global Compact Network Brazil in partnership with Ethos Institute and companies of the construction sector. The purpose is to provide examples of emblematic cases of the main situations that may expose companies of the construction sector to solicitations of corruption, and therefore propose good preventive practices and responses to such scenarios.

Mobile phones and other technologies have transformed the nature and dynamics of informal social networks in Kyrgyzstan. Some scholars argue that new technology (electronisation, digitalisation) helps to prevent corruption and reduce the risk of bribery, informal social networks and bureaucracy. In their view, new technology has the potential to create transparent and efficient ways to access public services.

This is the ninth edition of the Basel AML Index.

The Basel AML Index is an independent annual ranking that assesses the risk of money laundering and terrorist financing (ML/TF) around the world.

Published by the Basel Institute on Governance since 2012, it provides risk scores based on data from 15 publicly available sources such as the Financial Action Task Force (FATF), Transparency International, the World Bank and the World Economic Forum. The risk scores cover five domains:

This is the eighth edition of the Basel AML Index.

The Basel AML Index is an independent annual ranking that assesses the risk of money laundering and terrorist financing (ML/TF) around the world.

Published by the Basel Institute on Governance since 2012, it provides risk scores based on data from 15 publicly available sources such as the Financial Action Task Force (FATF), Transparency International, the World Bank and the World Economic Forum. The risk scores cover five domains:

This is the seventh edition of the Basel AML Index.

The Basel AML Index is an independent annual ranking that assesses the risk of money laundering and terrorist financing (ML/TF) around the world.

Published by the Basel Institute on Governance since 2012, it provides risk scores based on data from 15 publicly available sources such as the Financial Action Task Force (FATF), Transparency International, the World Bank and the World Economic Forum. The risk scores cover five domains: