The wisdom of governance in the big data age

Mankind has entered the age of large data. If the popularization of the computer only solves the problem of readable and computational information, the Internet solves the problem of information transmission and service, then the large data solves the problem of information analysis and prediction, and the large data helps decision-making scientifically, and the public service is personalized and accurate. The practice shows that large data has many characteristics, such as large capacity, variety, rapidity and authenticity. The use of data fusion, mathematical model, simulation technology can greatly promote the scientific nature of government decision-making, even "reveal the original did not think or difficult to show the relationship." New ways of thinking and behavior will bring new business model and development path. The change of big data not only makes the traditional way of thinking and behavior face great challenge, but also the ability of integrating information resources effectively in the Public service field will provide strong technical support for the change of government management idea and governance mode.

The government, as the largest possessor and largest consumer of large data, must take a step forward in large data management and application. The United States and other developed countries have made gratifying achievements in government management. In the field of public administration, some pioneers at home and abroad have been using large data, collecting data and processing data through multi-channel, enhancing social governance ability, realizing the innovation of government Public Service technology innovation, management innovation and service mode. The realization of information transparency and sharing, so that external stakeholders and internal stakeholders can improve their work efficiency, resulting in economic and social benefits. By evaluating the performance of the public sector, enhancing internal competition, stimulating work performance, improving public construction efficiency, improving the quality of administrative services, and reducing the cost of government administration. Through population segmentation and customization policies, we can enhance the pertinence of public services, improve efficiency and public satisfaction. The use of government intelligence to replace or assist human decision-making, reduce the cost of error and welfare management fraud. To guide innovation within the public sector, to respond to public services through large data tools and analyses, to improve existing programmes and to create new value for the public sector.

The role of the

Large data in contemporary society is manifold. Large data analysis can be quweicunzhen and can be used in the public service domain to have a multiplier effect. A rapid response public safety management system can be established through large data. The data-regulated public transportation system, the people-oriented integrated social management system, the public health and medical system under the wisdom forecast, and the environmental protection system of creativity and practicality, can also promote the growth of intelligent city and make the city life better. Large data can play such a huge role, mainly in its multi-channel data collection, highly open system, accurate recognition of data processing and other key technologies. Especially in the intelligent city construction, the Internet of Things is the sense organ of the intelligent city, the mobile network is the pulse of weaving the city data network, the cloud computing provides the foundation for the coordinated action between the cities and the effective cooperation between the Government and the public. Of course, big data is not everything. The main factors restricting the role of large data are not technical problems, but the capacity of the Government to manage, the construction of the system, and the communication and coordination between the Government and the public. Therefore, to realize the sharing and integration of information, we must break the division of the Department and establish a market-oriented system of government data resources operation. In the direction of industrialization and marketization, break data monopoly, set up market-oriented government data resource operation mechanism, open government data resource according to market law and risk level, authorize and encourage third party to participate in government data resource development, and buy social data and service to market, encourage innovation of service and operation mode based on large data.

Large data can make a great dream of mankind and add a hand to the realization of the Chinese dream, but we should also see that we have to deal with unprecedented challenges in the face of big data. The first is the data quality problem. Data forgery threatens the lifeline of data quality, error discovery causes the data to interpret and present the fatal fallacy, the data blind spot leads to the information Age information absence. Secondly, it is the problem of information security. Every person, every political party and every country in the information society is under the control of the third eye. The prism Gate incident has endangered the national security of the information society, and the Conference has also given serious concerns about information security. Privacy protection is equally important for individuals and there is a need to find new checks and balances. Again, the problem of data dictatorship. The biggest challenge in data management today is the openness and sharing of data. Through large data, not only can access to more detailed personal information, but also through further prediction of the group characteristics directly imposed on individuals, will inevitably lead to data based group discrimination. Therefore, we must speed up the development of various types of data on the ownership, protection and collection, storage, processing, transmission, retrieval, authorization of the application of laws and regulations, the data owners, users, managers, social third parties and other parties responsible for the rights and obligations, to clarify the right to privacy and information, Establishing a legal system of data application in line with China's national conditions, introducing policies at the country level, clarifying the position of different types and levels of government departments in the construction of large data, and establishing a management mechanism for data confidentiality and risk classification.