Forecasting Public Hazard Using Civil Complaints Data (KR0068)

How the Commitment Came to be

- Identified as a policy relevant to open government( February 2023 )
- Selected as a commitment in Digital Subcommittee meeting ( March 17, 2023 )
- Development of draft by the Digital Subcommittee meeting ( April 19, 2023 )
- Discussed in The Government-Civil Joint meeting ( April 28, 2023 )
- Discussed during Open Governmnet Week ( May 12, 2023 )
- Up for Public Feedback (Innovation 24 OGP Discussion Board) ( June 26 to July 9, 2023 )

Background

In recent years, the government is expanding the scope of administrative service for the people based on situational awareness, decision-making and foresights rendered by the processing and analysis of big data. Disaster management also relies heavily on processing the massive amounts of structured and unstructured data generated by the private and public sectors into meaningful information. In other words, public and private data must be converged and analyzed for effective disaster management (Shin Dong-hee, Yong-moon Kim, 2015, Policy Plan for Utilizing Big Data in Domestic Disaster Management). In response, the government has determined that it is necessary to promptly capture, predict risk factors before they eventualize, and preemptively respond to issues that are directly related to the life and safety of citizens and have a large ripple effect on people's lives. The government is building and operating a complaint analysis system.

Details of the Commitment

Conduct convergence analysis of public and private data, such as collecting public safety-related complaint data from the complaint analysis system operated by the Anti-Corruption and Civil Rights Commission and real-time news from portal sites. Identify public safety issues and require relevant organizations to brace for the rising risk of civil damage.

Complaint forecasting process

Issuance criteria - The primary focus is on the number of complaints, but there is flexibility to determine criteria based on the number of agencies involved, number of stakeholders, geographic scope, ripple effects, etc.

Issuance methods - Include in the Voice of the People Weekly and Monthly Trends and list in the Complaint Analysis Division System. - Send forecast issuance notices to competent authorities.

Follow-up - Monitor complaint trends and agency response after a forecast is issued. - Raise or lower the forecast level based on the number of complaints received. - Provide information on monitoring results and measures to the public through media outreach, etc.

Potential for Result Contribute to tackle the hazards that threaten the people’s life and safety by capturing promptly social issues using the convergence analysis of complaint data and public-private data. To be more specific, national safety forecasts are to be issued so that the relevant organizations can take timely and appropriate actions reflecting them.

Milestone Activity with a Verifiable Deliverable | Start - End

Issue forecasts regularly and on-demand through the data convergence analysis | February 2023 - Continue every month

Action Plan Review