Big data proves its worth

Shi Rong visits a kindergarten in Guiyang to publicize security awareness against abduction. [Photo provided to China Daily]

Forensic expert Shi Rong is keen to stress the crucial role big data technology, and its wide application, plays in enhancing public security.

Born in 1968, Shi is now the deputy chief of the criminal investigation unit at the Guiyang municipal bureau of public security in Guizhou province.

When a murder case is being investigated, she and her colleagues need to examine the victim's body and the crime scene to provide evidence for the court trial.

In the past 28 years, she has worked on more than 3,000 crime scenes and filed over 2,000 forensic documents. She says in 2018, she worked on a single case for 28 hours continuously.

While dealing with a heavy workload and the flow of information related to cases, she says she realized the importance of using big data in public security systems.

"In my everyday work, when investigating cases, we need to use big data systems as a means of scientific support to track and find the suspects," Shi says. "Its utilization in enhancing general public security and serving the people is much broader, encompassing different aspects such as traffic, exit and entry, and population management."

The Guiyang bureau of public security has upgraded its database in the past few years. Official statistics show the number of criminal cases in the city has consistently declined over the past seven years. Over 95 percent of Guiyang residents have expressed a sense of security in annual surveys since 2015, and the figure reached a record high of 99.05 percent in 2019.

Since Shi became a deputy to the 13th National People's Congress in 2018, she has been paying closer attention to local big data construction and proposing relevant suggestions at the annual two sessions in Beijing.

Last year, she spotted a few issues with the local data systems of government organizations after conducting research on the building of databases at a grassroots level.

"The data-sharing and data integration across departments and regions is insufficient, and the application of big data systems at county level is not extensive," Shi adds.