Group 1 - The core focus is on the use of big data supervision platforms by the Guilin Municipal Commission for Discipline Inspection and Supervision to identify and address corruption in the engineering construction sector [1][2] - The platform has identified 16 risk points related to abnormal relationships between bidding agencies, bidders, and project owners, leading to alerts for further investigation [1] - The commission is targeting new forms of corruption, particularly "shadow shareholders," who manipulate projects through proxies, often hidden in bidding and procurement processes [1][2] Group 2 - The commission has intensified efforts to investigate and address hidden corruption, focusing on key positions and sectors where power and resources are concentrated [2] - Recent investigations have revealed that officials have used relatives to conceal their involvement in corrupt practices, as seen in the case of a former official who signed contracts under his brother's name [2] - The commission has developed data models to analyze and track the flow of benefits and relationships among involved parties, enhancing the detection of corruption [2][3] Group 3 - The commission is committed to both investigating and remedying corruption, producing educational materials to raise awareness about the risks of hidden corruption [3] - A total of 19 cases involving "shadow companies" and "shadow shareholders" have been addressed, with a focus on improving data management and oversight [4] - In the current year, over 600 inquiries have been made using the big data platform, identifying 246 potential risks and leading to 24 formal cases and 25 disciplinary actions [4]