In 2012, Zipei Tu (Vice President at Alibaba Group) published his first book Big Data, which is a pioneering work in the field of big data in China. Since then, he has published Top of The Data, arguing that big data must be promoted from a scientific symbol to a cultural symbol to help China win the global competition. In September last year, his third book in the field of big data, Digital Civilization, was published, extending the perspective to countries, societies and even individuals in the era of big data. In his book, Zipei Tu wrote that "digital civilization is a shortcut to understand the past and the present, and a 'golden line' connecting the past and the future". He stressed that "the focus on technology is ultimately about people's inner reactions to technology.” Q: You mentioned the concept of "the Internet of Numbers" in your book. What is its value and significance when it comes to government governance? A: The connection and integration of big data will form integral data, and integral government starts from integral data. "Digital networking" is a means to connect all government data to the Internet. Networking doesn't mean you're all connected together. It's about connecting data organically. Once all government data are available, it is a holistic government on the data dimension. It is conservatively estimated that the work efficiency of each level of government should be doubled. At the same time, the level of public services will also be improved. If the data were connected, at least 99 percent of all public services currently provided by the government would be available online. I have a point that ' run once at most 'can be upgraded to' just once. ' The implementation of "just once" will mobilize the internal force of the government and external force of the society to jointly promote the overall government in the data dimension. The government can make it clear that the same data can only be saved once, and all departments can interact with each other synchronously and share effectively. This also means that various departments within the government have to be "forced" to communicate and improve service efficiency, which is a forcing mechanism. Q: The application of big data has been everywhere, giving birth to many industrial changes. What do you think is missing in the application of data to enhance governance? A: At present, many cities in China are in the stage of "having nerves but no brains". They only focus on data collection instead of effective analysis and analysis, so their ability of data analysis and data mining is very limited. In my opinion, the future urban management is based on data flow analysis, mining and calculation, which I call "management by Numbers". Whether a city can manage on the basis of data stream or not will become an important symbol to measure its modernization level. With data flow, real-time analysis and prediction are conducted to find problems in time, provide management clues, prevent crisis risks, allocate public resources and optimize daily decisions. We can finally control and manage the flow of people, logistics, traffic, currency flow and so on, which is the governance of modernization. Q: Data flow and data interconnection undoubtedly make society clearer, and what governance changes will follow? A: The management society must invent clearly identifiable individual units. Clarity is the premise of effective management and control, and the common foundation of refinement, personalization and intelligence. Just like the ability to lock, track and distinguish the track of every snowflake in the sky, this ability has been mastered by some Internet enterprises through the establishment of their own platforms. If the government also has such a platform, it will gain amazing governance ability. Of course, this capability can be a data cage for the public if used improperly by the government. Seeking truth from facts is an important experience gained from reform and opening up. In the era of big data, "facts" become "real Numbers", we can rely on artificial intelligence, rely on machines to "seek truth", to find the law. People are very extensive, and the machine is fine, "real truth", help us better understand the society, the transformation of society. Q: You talk a lot about the value of "skynet" video in your book. Open camera data is also a kind of data opened by the government. How to manage and use such data? A: Skynet focuses on the big data of urban image, which is more and more popular and gradually becomes the infrastructure in the world. In China, a large part of this kind of data management is done by the public security department, but I believe that these data should not only serve the public security department, otherwise it will limit the maximum utilization of its resource value. Where should I put it? For example, Guangdong government service data administration bureau. Because they are an important data resource of a city, managers should consider how to use skynet for service from the perspective of society. We will be worried because of the popularity of skynet and bring privacy leakage, then how to hedge this sentiment? If we open up the data and let people use it, that's a very good hedge. In the United States and the United Kingdom and other countries, laws clearly stipulate that "if your personal data is held by the government or an institution, you have the right to view the content of these data". In China, there are some individual regions that are trying to respond to the needs of the society, but more efforts are needed. The urgent task is to make a national top-level design on such issues as the procedures open to application, how to retrieve the data, the usage norms after retrieval, and the responsibilities of exceeding the norms. What skynet management department needs to practice is to collect data from the people and use the data from the people. The government should not only realize "lifelong record and lifelong management" for every citizen when collecting data, but also provide "lifelong service". At least 2 outside sources in total (references) DI outline This is a possible outline for the DI. Since the DI is based on individual interviews it is not possible to give a outline that will be suitable for everyone. When writing the DI, use this outline to check that you have covered all required elements. Introduction Introductory paragraph identifies the field being investigated, and the writer's connection and interest in the field. The informant is introduced—name and specific job title. Forecasting statement of what will be in the DI. Interview Summary Background and Career path Introduce the subject and mention how the subject became interested in this field Give the subject's education and skills Give the requirements and skills that were needed before entering the field Explain how the subject got started in the field Describe the stepping -stones to the subject's current job The expectations and surprises the subject had on entering the field. Use outside sources (articles) to add additional or supporting information about the topics above Roles and Responsibilities Job description of the present position How the job fits into the overall company structure How the job fits into the overall structure of the profession Skills and qualifications required for the present job Day to day tasks required by the job Challenges the subject faces in this job, and how he/she deals with it Challenges in the field The types of jobs and career paths common in the field, related to the subject's job Use outside sources (articles) to add additional or supporting information about the topics above. Communication Communication skills needed for the job, particularly the reading and writing skills Communication skills the subject finds most important in his/her role The types of reading and writing required on a daily basis The typical audience for written communication (co-workers, clients, general public, etc.) Use outside sources (articles) to add additional or supporting information about the topics above. CONCLUSION A discussion of what was learned through the interview and research about the job you hope to do (new perspectives? confirms existing ideas? Any surprises?) 65 ID Ideas and views of the subject confirm/disagree with ideas from the research, and which ideas you will adopt Skills , knowledge, or experience still needed (by you) for preparation and development for the profession A final statement on the DI to conclude the paper
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