The free dual-disease screening service for retired women in Jing’an District is coming to an end, and many residents in Linfen Road Sub-district who did not make appointments have received reminder messages.

In previous years, neighborhood committee officials could only post the notice on appointment service and were unable to remind residents who did not make an appointment one by one. However, some adjustments have been made this year: A system can automatically compare and find residents who have not made appointments and then send push notifications to them through an intelligent outbound call system. “In this way, residents will never again miss out on government benefits just because they didn’t see the notice in time.”

The transformation from “people looking for services” to “data looking for people” is credited to the digital cockpit “Public Sentiment Log Version 3.0” developed by Linfen Road Sub-district. The “cockpit” has collected nearly 10 million pieces of data on people's livelihood that are used in 57 types of applications in eight areas, including social mobilization, service object seeking and risk early warning, making it possible to “govern communities digitally.”

Empower community governance

with digitization.

In 2018, Linfen Road Sub-district took the lead in using the “Public Sentiment Log” big data system in the whole city, covering public sentiment information and service management content in the sub-district with “resident” and “residence” as units. Over the past two years, especially this year, with the deepening of the construction of the “two nets,” Linfen Road Sub-district created 240 characteristic tags on the basis of the original community database on residents, residences and households and connected 11 application subsystems at the sub-district level to form a livelihood data lake, accumulating huge amounts of people’s livelihood data.

Data cannot work well without applications. “We should not leave so much valuable data ‘lying and sleeping,’ but let the data ‘speak’,” the relevant person in charge of Linfen Road Sub-district said, adding that mass data can hardly serve us well only by manual mining and analysis, so digital tools are also needed to empower community work further.

So Linfen Road Sub-district has worked with Smart City and Electronic Governance Research Institute, School of Economics and Management, Tongji University (Tongji SEM) to develop a digital cockpit system that integrates in-depth analysis, intelligent application, risk early warning and auxiliary decision-making, to enhance the “computing power” of the existing multi-source data through data combination and collision. At present, the digital cockpit has been expanded with 57 types of applications in eight areas, including social mobilization, site selection, service object seeking, risk warning, emergency rescue and resource linking, aiming to realize more intelligent and sophisticated community governance ”.

“Silent groups” covered, every expectation fulfilled.

After the digital cockpit was first applied to the “dual-disease screening” scenario, the coverage rate of the service was effectively improved, and the number of eligible residents screened by big data was significantly higher than the actual number of served residents in the same period of the previous year. “‘Silent groups’ in the community have now been covered,” said Shi Juli, secretary of the general Party branch of the residential area of 261 Lane, Fenxi Road, who has worked at the grassroots level for many years. In the past, the neighborhood committee wrote policies and notices on a small blackboard of the community, and only residents who saw them could enjoy relevant policies, according to Shi’s introduction, buildings were later divided into groups for grid management, and every building head went door to door once there was something that residents needed to know so that residents living in the community could enjoy relevant policies and benefits whereas those who did not live in their registered residences and could not be reached would miss all. Today, through the “digital cockpit”, eligible residents will receive reminder messages.

Mrs. Huang, who lives in the residential area at 261 Lane of Fenxi Road, registered for “the treatment of serious illness in the out-patient department” at the Affairs Service Center of Linfen Community. Thanks to the digital cockpit of “Public Sentiment Log 3.0,” Shi Juli received a reminder message on the same day so she could know the person’s situation in time and visit the patient the next day. Shi Juli said, “In the past, this kind of information was unknown to the neighborhood committee unless the residents told of their own accord, so ‘silent groups’ are likely to be ignored unconsciously. But today, the digital cockpit adds ‘digital wings’ on the service of neighborhood committees, and ‘silent groups’ can feel the warmth of communities.” The installation of extra elevators in the Linfen Road Sub-district has been advanced at a rapid pace. In addition to the help of “123 Working Law,” the “actively speaking” of data is another magic key held by Linfen Community officials.

According to Chen Daijing, director of the autonomous office of the sub-district community, there were 40 buildings that installed extra elevators last year, the residents’ information data of which have been successfully imported into the digital cockpit system. These data are analyzed multi-dimensionally according to different aspects, such as the residents’ political status, level of activity in the community, and status of enjoying the public service, to portray the features of the “potential buildings” lived by residents who are most likely in need of elevators.

Through big data analysis, the “governance key” hidden behind the buildings with extra elevators has gradually emerged. The targeted mass work carried out by the community officials in line with the data model has gained satisfying outcomes. Since June 2021, there have been 37 buildings in the sub-district that have installed extra elevators, the 21 among which were intelligently suggested by the digital cockpit.

Let digital act as a sentry

to ease the burden of grassroots work but not lower service quality.

The digital cockpit can also realize real-time monitoring, so the capability of problem discovering and handling has been sharply increased. Shi Juli received a message sent by the digital cockpit reminding her to pay close attention to a senior living alone that might have the possibility of an accident. After receiving the message, Shi Juli visited the older adults immediately. She found that the older adults had been leaving for her daughter for a temporary stay and there was no one at home for many days. Thus, the digital cockpit multi-dimensionally analyzed the data from the community governance system and sent a reminder to Shi Juli.

She believes that the application of the digital cockpit at the grassroots level has eased the burden of the neighborhood committee officials and improved the capability of community service, which promotes the shift of community governance from “passive handling of human discovery” to “active intervention of digital reminding.”

To form a more efficientcommunity governance pattern.

With the help of the information-based instruments, the work of forming a community governance pattern with a concept of joint contribution, joint governance, and shared benefits in the Linfen Community has become more efficient. Relying on the “resource links” scenario of the digital cockpit, the information of “the location of the person, needs, or resources” can be accessible to the community officials timely through the one-click search in the system by typing in the demands of the neighborhood committee or regional Party Building Unit. The system can also realize the intelligent matching of several kinds of resources such as venues, backbones, and participants.

In addition, according to the map of the distribution of public service points displayed on the large screen of the digital cockpit, the responsible persons of the sub-district can clearly analyze the information of the scope of services and service objects of each kind of public service point. This can help promote the policy-making transformation from “experience-based” to “data-based” and continuously improve the scientific decision-making capacity. For example, the selection of the locations of the community dining hall and kindergarten will be much reasonable to avoid redundant constructions.