[Purpose/Significance] This paper investigates and analyses the problems of government data opening under the Outbreak of COVID-19,and design a targeted pattern,in order to providing suggestions for opening government's data in great epidemic disasters.[Method/Process] Through website observation and data analysis,investigated and evaluated the situation of COVID-19 data opening.[Result/Conclusion] The situation of opening government data under the Outbreak of COVID-19 was still severe,including many problems,such as obvious data content structure bias,lack of standardized format,slow update performance,low overall utilization of the platform,poor internal coordination,insufficient social interaction participation,and weak security system and so on.To solve these problems,we build a opening pattern from six aspects:demand driven,subject collaboration,,data empowerment,management efficiency,technology integration and ecological carefulness.

[Purpose/Significance] To study the emergency information service model for COVID-19 epidemic prevention and control,and to provide a reference for national decision-making and handling of emergencies.[Method/Process] Firstly,the difference between the emergency information service model and the traditional information service model was briefly compared,and the service role of emergency information was analyzed through the COVID-19 epidemic prevention and control practice,based on which an emergency information service model based on major epidemic prevention and control was constructed.[Result/Conclusion] The emergency information service model was to collect,analyze,interpret and store data and information related to the epidemic in the big data environment,and transmit information through a reasonable organizational structure,so as to provide information services for emergency prevention and control in the early,middle and late stages of a major epidemic.

[Purpose/Significance] At the beginning of 2020,strong measures have been taken to prevent and control the COVID-19 outbreak in China,therefore the information disclosure of the COVID-19 outbreak has become the top priority.[Method/Process] Based on the perspective of public demand and the management of public crisis,this paper analyzed the characteristics and manifestations of public demand of the information disclosure about the COVID-19 outbreak,and the research has been conducted on the information disclosure of the outbreak on the health commissions in ten cities.[Result/Conclusion] Based on the characteristics and performance of public demand,the study explored the information disclosure,and then proposed strategies to improve the information disclosure of the COVID-19 outbreak.

[Purpose/Significance] The collaborative mechanism of multiple privacy entities for intelligent service is designed,to propose suggestions for the usage and regulation of personal privacy information.[Method/Process] This paper firstly summarized the privacy problems of intelligent service,and analyzed the deficiency of over-protection,perception deviation and responsibility confusion in the existing privacy protection mechanism.Then,multiple privacy entities were defined from the perspective of information lifecycle in privacy dissemination.Based on previous analysis,the collaborative mechanism of multiple privacy entities for intelligent service was designed.Moreover,this paper investigated the implementation modules,such as dynamic analysis of privacy dissemination,evolution of privacy perception and interaction of privacy behavior.At last,the application in reality of collaborative mechanism was discussed in detail,by taking a case study of smart health service.[Result/Conclusion] The application of collaborative mechanism of multiple privacy entities in intelligent service was conducive to the "various levels,slicing and processes" protection of personal privacy.

[Purpose/Significance] The industry-university cooperation represents the cooperation between the knowledge system and the industrial system.The selection of the best cooperation objects between enterprises and universities has a great significance to promote the joint development of schools and enterprises,enhance the innovation ability of enterprises,and promote the transformation of scientific and technological achievements in universities.[Method/Process] This paper constructed a detection model of frontier scientific research teams in universities.From the perspective of enterprises,the topic model and clustering algorithm were used as technical support to acquire multiple sub-technical topics in the technical field,and to clarify the research focus and weak areas of the enterprise from a more fine-grained level.Then,at the sub-technical theme level,the university was ranked by similar patent density,and the best cooperative colleges were identified.On this basis,similar research patents were used as the medium to explore university research teams and improve the efficiency of cooperation between schools,universities,and universities.[Findings/Conclusion] Taking blockchain as the technical field and ZhongAn Technology as the enterprise object,the industry-university cooperation object selection model was verified.The research focus and weak areas of ZhongAn Technology were clarified,and the best cooperative universities and research teams in the sub-areas were identified.The validity of the proposed model was verified,which provided a practical path for the selection of school-enterprise cooperation objects.[Originality/Value] From the perspective of patent,school-enterprise cooperation was matched at a more fine-grained technical theme level,which provided a practical path for improving the efficiency of school-enterprise cooperation,promoting technological innovation and realizing the transformation of scientific and technological achievements in universities.

[Purpose/Significance] With the advent of the era of big data,monitoring and guidance of network public opinion has become one of hot research topics.However,there are few studies on quantitative evaluation of guiding effect for the subject of public opinion events.The purpose of network public opinion guidance is to reduce the threat index of network public opinion to the subject of the event.Therefore,the difference between the two threat indexes of before and after network public opinion guidance,can be used to evaluate the pros and cons of the guiding method.[Method/Process] In this paper,a method based on fuzzy-synthetical evaluation was proposed to evaluate the effect of network public opinion guidance.Firstly,a threat assessment index system of network public opinion was constructed,and AHP was used to determine the weights of each layer.Secondly,fuzzy sets of threat level were defined corresponding to situation indicators of network public opinion,and were furtherly integrated based on fuzzy-synthetical evaluation.Thirdly,the integrated fuzzy set of threat level was defuzzified,and the threat index of the network public opinion on the subject of the event was obtained.Finally,the guiding effect was evaluated by using the difference between the two threat indexes of before and after network public opinion guidance.[Result/Conclusion] From the feasibility and necessity of the method,the experimental results showed that the method can evaluate guiding effect accurately,and match judgment by experience completely.

[Purpose/Significance] Taking online education as an example,this paper explores the influencing factors of the sharing effect of payment-based knowledge products,and revealing the nonlinear effect of payment amount on sharing effect,matthew effect of network embedding and album sharing effect.[Method/Process] Based on the Elaboration Likelihood Model,the relationships among the host network embedding,album features and sharing effect of payment-based knowledge products were studied by means of two-stage data crawling and quantitative analysis.[Result/Conclusion] The number of albums and sounds had a significant positive impact on the host network embedding;the host network embedding and the number of courses had a significant positive impact on the continuous sharing effect;the payment amount had an inverted U-shape effect on cumulative album sharing effect and continuous sharing effect;the host static embedding had a significant positive impact on the host dynamic embedding,and the album cumulative sharing effect had a significant positive impact on the continuous sharing effect.

[Purpose/Significance] This study aims to analyze language and behavioral characteristics of social network users by using online tools,and to implement predictive research on depression.[Method/Process] We collected self-disclosed depression information from Twitter,and extracted the characteristics of language and behavior of depression users and normal users in social networks.Based on the analysis of feature information,several machine learning algorithms were used to detect depression users.[Results/Conclusion] The study found that users' language and behavior characteristics in social networks can reflect their psychological state,and the various features extracted from them can be used for the prediction of depressed users.Random forest classifiers performed best in predictors of depression users,the characteristics of empath-based linguistic psychology have the highest prediction scores in different types of classification,while the topic features have lower scores.

[Purpose/Significance] With the rapid development of big data and artificial intelligence technology,data-driven intelligent academic research and knowledge discovery based on academic big data have received extensive attention from industry and academic.Academic knowledge graph is the foundation of academic information mining and academic knowledge management,and has important academic value and industrial value in intelligent academic research.[Method/Process] This paper started from the actual needs of building intelligent academics service,begining with the core issues of academic big data acquisition,academic entity identification,academic entity link and knowledge fusion,academic knowledge map ontology model construction,academic knowledge graph representation and storage,and proposed the theoretical model for the construction of knowledge graph in the field of smart academics.[Result/Conclusion] The construction of academic knowledge graph for multi-source heterogeneous data fusion was the data foundation supporting intelligent academics,and also an important application of artificial intelligence and knowledge representation technology in the field of academic big data.

[Purpose/Significance] In recent years,due to the activeness of social media such as Weibo,its potential use in event space-time modeling has received widespread attention.Studying user sentiment in the new media environment can analyze the evolution of user sentiment and will help relevant departments take targeted measures to control public opinion.[Method/Process] This paper built a long-short-term memory model(LSTM)for analyzing the user's emotional context,and analyzed and predicts the online public opinion user's emotional tendency and public emotional trend.[Results/Conclusion] Taking the relevant tweets of the Typhoon "Lichma" incident on Sina Weibo as the research object,through multi-level time series analysis,verified the role of social media before,during and after natural disasters;By analysing the evolution of users' emotions,they tried to put forward corresponding suggestions for the reasonable control of the spread of public opinion information.

[Purpose/Significance] Aiming at a series of risk problems caused by user data leakage,this paper analyzed the behavior motives of users and platforms from the perspective of the participants,explored the influencing factors of the two parties' input costs to protect data security and analyzed the role of the government.[Method/Process] The Static Game was used to find the nash equilibrium of users and platforms,and the evolutionary game model was constructed to analyze the behavior strategies of each participant from a dynamic perspective.Simulations were carried out through MATLAB software,and comparative static analysis was used to explore the influencing factors of both parties' input cost in data security.[Reselts/Conclusion] The behavior choices were related to the cost and the income.When the data leakage loss was greater than the cost,the user and the platform were more likely to choose the cost of investment with the increase of time.

[Purpose/Significance] Digital transformation is an imperative for governments that aim to improve administrative efficiency and build a service-oriented government.[Method/Process] In this research,a case study of Zhejiang government's digital transformation was conducted to investigate how the cloud computing technology empowered the transformation.[Result/Conclusion] The results showed that the cloud computing technology affected both the breadth and the depth of digital transformation.Even though the type of cloud technologies varied in different transformation stages,it progressed alongside the exploration and exploitation of data to realize its value.This study offers insights to help other governments in relation to their own their own digital transformation strategies.

[Purpose/Significance] With the advent of man-machine society,decision-making of big data algorithm will become a more and more common thing.But the decision-making of big data algorithm is quite different from that of ordinary manual decision-making.Its accountability will be an important problem for the governments and enterprises in the future.[Method/Process] This paper discussed the meaning,importance and origin of the decision making accountability of big data algorithm.[Results/Conclusion] The paper proposed the accountability countermeasures from the perspective of accountability subject and mechanism as well as relief measures based on the analysis of the difficulties of the decision-making accountability of big data algorithm.

[Purpose/Significance] Based on the governance theory,this paper studies the social participation in open government dataservice,and develops social participation in open government dataservice in China.[Method/Process] Based on the overview ofgovernance theory,this paper introduced the theoretical basis provided by governance theory,taking Norway OpenCoesioneand Italy OEP as an example,the paper explored the application of Governance theory in the social participation in open government data service abroad,discussed the social participation effect of open government data service in Norwayand Italy,finally provided social participation strategy of open government data service according to the governance theory.[Results/Conclusion] Society has an important value in open government data.China should develop social participation in open government data service,create a good environmental and broaden the participation main body,build participation network and development partnership,perfect the governance structureto explore the participation steps.

[Purpose/Significance] This paper analyzed the game problems of Internet enterprises and users in the protection of personal information,discussed the choice of optimal balance strategy of the two sides of the game,which was of enlightenment significance to further build the protection system of user personal information in the era of big data,enhance the comprehensive competitiveness of Internet enterprises and promote the healthy and stable development of the Internet industry in China.[Method/Process] From the perspective of game analysis,based on the incomplete information dynamic model,this paper analyzed the strategy selection and benefits of Internet enterprises and users in the game round by using the inverse induction method.[Result/Conclusion] The study found that,with the increase of game rounds between Internet enterprises and users,the benefits of both sides continued to decline.Users estimated the risks and benefits when they provided personal information to Internet enterprises.Finally,according to the game analysis results,it proposed to build a systematic and perfect industry data supervision mechanism,to take the responsibility to protect users' privacy for Internet enterprises part,to improve users' perceived information control ability,and to rationally allocate data rights,and to form a supervision network with the joint efforts of individuals,enterprises and relevant government departments,so as to establish a long-term mechanism for personal information protection.

[Purpose/Significance] In order to help the academia comprehensively and systematically understand the application and development of social cognition theory in the field of information system,expand its applicable situation in the follow-up research,and give full play to the theoretical application value.[Method/Process] This paper retrieved and sorted out the relevant research results based on social cognition theory in the field of information systems at home and abroad,and summarized the research results and future research directions.[Result/Conclusion] Information system in the field of social cognitive theory research mainly concentrated in the "social cognitive theory in the application of online learning behavior", "social cognitive theory in the applications of online social behavior","social cognitive theory in the application of information technology use and addiction behavior","social cognitive theory application in information security behavior"and so on four sorts of application research;There were some problems in the research,such as the lack of environment acting on individual specific mechanism,the reaction of behavior to individual and environment,the judgment of specific types and tendencies of self-efficacy.Exploring the influence of environment on individual cognition and behavior,the reaction of behavior on individual cognition and environment,and the effect of different types of self-efficacy on individual behavior were the research directions worthy of attention in the future.

[Purpose/Significance] The purpose of this study is to help scholars clarify the development of cognitive dissonance theory and its application in the field of information systems,and to fill in the lack of domestic review of the application of cognitive dissonance theory in the field of information systems.[Method/Process] This study summarized the application results of this theory in information system research by combing the relevant literature,and discussed the existing limitations and future research directions.[Result/Conclusion] The application of cognitive dissonance theory in information system research mainly included the design and optimization of information system,the use of information system and the search behavior of network information.The research had limitations such as "the research object of the design and use of information system is relatively single","the behavioral cycle is not studied comprehensive enough".Future research can focus on the design,optimization and use of emerging information systems,and verify the actual behavior of users with objective data,so as to expand the research context of this theory in the field of information systems.

[Purpose/Significance] The purpose of this paper was to help scholars understand the application and development of rational choice theory in the field of information system,provided guidance for further research and application of the theory.[Method/Process] This study conducted a detailed literature review of researches based on rational choice theory,summarized the research focus of current stage,existing problems and future research directions worthy of attention.[Result/Conclusion] It is found that the researches mainly focused on three aspects:The application of RCT in information technology/information system adoption research,the application of RCT in information system security management research within organizations,and the application of RCT in information/knowledge sharing behavior research.There were some problems in existing researches,such as "few literatures analyzed individual differences among actors","lack of utility measurement and evaluation of the consequences of selection" and so on.Dynamic changes in user choice intentions and behavior over time,the differences between the actors' expected risk-benefit assessments and factual results after actual selection and their impact on subsequent choices etc.were the directions worthy of attention in the future study.

[Purpose/Significance] The purpose of this study is to help academics accurately understand theory of technology dominance and its application status,in the meantime,to better apply this theory to the studies of technology dependence in information system.[Method/Process] After introducing the origin and development of this theory in brief,this paper analyzed the application status of this theory in information system research,based on the studies of this theory in the field of information system.[Result/Conclusion] The results showed that the application of this theory in information system research mainly included three aspects:technology dependence research in terms of information system design,technology dependence research in the process of using information system,studying the risk of long-term use of information technology.In addition,it is found that existing studies remained some limitations,such as "the kind of information system functions which most studies focus are relatively single","technology dependence studies are limited in the context of study and work" and "there is few longitudinal empirical research to analyze the influence of long-term use of information technology".Therefore,future research can study the influence of other functions on technology dependence such as automatic filling,expand context of technology dependence studies from study and work to life and entertainment,and collect panel data to study the dynamic influence of information technology on decision maker and decision making.