The smart city is the culmination of the most advanced ICT technology applicable to our daily lives but it is easy to overlook the core infrastructure that make such city possible: the Internet. And without a doubt, the 5G Internet network will serve as the backbone infrastructure that ties in all the technologies that go into the smart city. Given the important role that this network will play within the smart city infrastructure, the network neutrality debate warrants a deep look as it may ultimately affect how the smart city will distribute the cost of staying connected to the Internet. Today, much if not most of the traffic on the Internet is taken up by the Over-the Top (OTT) service providers such as Google, Youtube and such phenomenon has caused much controversy and debate over whether or not the principle of network neutrality should still be enforced on the Internet over run by a few services. But looking at a recent court ruling in the case of ‘Facebook v Korea Communication Commission’(2019), where the various ISPs in Korea replaced their non-settlement of interconnection fee with the Sending-Party-Network-Pays (SPNP) policy, it is clear that instead of the intended effect of fair pricing model for the OTT service providers, the loss of net neutrality caused undesirable side effects. This paper proposes to discuss the relationship between interconnection fee and net neutrality as well as antitrust policies against OTT service providers. While this debate is still on-going, the authors of this paper would like to emphasize the importance of net neutrality as ex ante regulation and antitrust laws as ex post regulation to minimize the undesirable side effects but still allow the free flow of data at the same time.
{"title":"Smart City, Net Neutrality, and Antitrust: findings from Korea","authors":"Sahng-Yoon Kim, S. Jeon, Hun-Yeong Kwon","doi":"10.1145/3396956.3396990","DOIUrl":"https://doi.org/10.1145/3396956.3396990","url":null,"abstract":"The smart city is the culmination of the most advanced ICT technology applicable to our daily lives but it is easy to overlook the core infrastructure that make such city possible: the Internet. And without a doubt, the 5G Internet network will serve as the backbone infrastructure that ties in all the technologies that go into the smart city. Given the important role that this network will play within the smart city infrastructure, the network neutrality debate warrants a deep look as it may ultimately affect how the smart city will distribute the cost of staying connected to the Internet. Today, much if not most of the traffic on the Internet is taken up by the Over-the Top (OTT) service providers such as Google, Youtube and such phenomenon has caused much controversy and debate over whether or not the principle of network neutrality should still be enforced on the Internet over run by a few services. But looking at a recent court ruling in the case of ‘Facebook v Korea Communication Commission’(2019), where the various ISPs in Korea replaced their non-settlement of interconnection fee with the Sending-Party-Network-Pays (SPNP) policy, it is clear that instead of the intended effect of fair pricing model for the OTT service providers, the loss of net neutrality caused undesirable side effects. This paper proposes to discuss the relationship between interconnection fee and net neutrality as well as antitrust policies against OTT service providers. While this debate is still on-going, the authors of this paper would like to emphasize the importance of net neutrality as ex ante regulation and antitrust laws as ex post regulation to minimize the undesirable side effects but still allow the free flow of data at the same time.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114193347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Open data is a complex process and its ecosystem includes various stakeholders. Particularly, government agencies acting as data providers play an important role to enable the availability of dataset in open data initiatives. Nevertheless, there have been factors influencing government agencies’ intention to implement open data. In order to explore the related phenomenon further, this research extends a conceptual model adopted from the open data literature by adding new factors, including leadership, legislation and policy, and perceived value of open data. Partial least squares structural equation modeling (PLS-SEM) is utilized to analyze the conceptual model. In addition, this research uses multi-group analysis (MGA) to explore whether government agencies having different years of open data experience may perceive the influential factors differently. The quantitative results of this research is expected to provide insights to practitioners and enrich the current open data literature.
{"title":"An Exploration of Factors Influencing Taiwan Government Agencies’ Open Data Participation: A Multi-Group Analysis Perspective","authors":"Tung-Mou Yang, Meng-Chia Wu","doi":"10.1145/3396956.3396966","DOIUrl":"https://doi.org/10.1145/3396956.3396966","url":null,"abstract":"Open data is a complex process and its ecosystem includes various stakeholders. Particularly, government agencies acting as data providers play an important role to enable the availability of dataset in open data initiatives. Nevertheless, there have been factors influencing government agencies’ intention to implement open data. In order to explore the related phenomenon further, this research extends a conceptual model adopted from the open data literature by adding new factors, including leadership, legislation and policy, and perceived value of open data. Partial least squares structural equation modeling (PLS-SEM) is utilized to analyze the conceptual model. In addition, this research uses multi-group analysis (MGA) to explore whether government agencies having different years of open data experience may perceive the influential factors differently. The quantitative results of this research is expected to provide insights to practitioners and enrich the current open data literature.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133236952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this paper is to identify and understand bot activity in twitter discussion. The prevalence of Twitter bots have gained significant limelight recently due to their misuse in influencing public sentiment for political gains. For our analysis, we use Twitter data of 2019 Canadian Elections. We perform principal component analysis and K-means clustering on the data set. Using the results we isolate bots from human accounts.
{"title":"Bot detection in twitter landscape using unsupervised learning","authors":"A. Anwar, Ussama Yaqub","doi":"10.1145/3396956.3401801","DOIUrl":"https://doi.org/10.1145/3396956.3401801","url":null,"abstract":"The aim of this paper is to identify and understand bot activity in twitter discussion. The prevalence of Twitter bots have gained significant limelight recently due to their misuse in influencing public sentiment for political gains. For our analysis, we use Twitter data of 2019 Canadian Elections. We perform principal component analysis and K-means clustering on the data set. Using the results we isolate bots from human accounts.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123075444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The recent breakthrough of artificial intelligence, as well as the wide adoption of the wisdom of the crowd, also known as collective intelligence, across sectors, has received attention and excitement across disciplines. In addition to the scientific breakthrough, recent public sector studies recognize AI's potential contributions in public services, such as big data for decision making, the development of smart cities, and social and health care. Studies have also recognized crowdsourcing's potential for service provisions, innovation, information generation, and policymaking. However, we have only a limited understanding of the connections between these two types of intelligence and adoption conditions to properly utilize them for the public sector. To understand what roles AI and crowds can play in enhancing public services and policymaking, we adopt a bibliometric analysis to identify emerging themes and interconnections between these two streams of literature. Our study provides key themes and significance for each cluster. Our first examination of AI and crowd literature regarding connection to public values, complementary in public decision making, as well as future potential for joint adoption by governments provides some implications for future considerations.
{"title":"Public Decision Making: Connecting Artificial Intelligence and Crowds","authors":"Helen K. Liu, Muh-Chyun Tang, Kuang-hua Chen","doi":"10.1145/3396956.3396965","DOIUrl":"https://doi.org/10.1145/3396956.3396965","url":null,"abstract":"The recent breakthrough of artificial intelligence, as well as the wide adoption of the wisdom of the crowd, also known as collective intelligence, across sectors, has received attention and excitement across disciplines. In addition to the scientific breakthrough, recent public sector studies recognize AI's potential contributions in public services, such as big data for decision making, the development of smart cities, and social and health care. Studies have also recognized crowdsourcing's potential for service provisions, innovation, information generation, and policymaking. However, we have only a limited understanding of the connections between these two types of intelligence and adoption conditions to properly utilize them for the public sector. To understand what roles AI and crowds can play in enhancing public services and policymaking, we adopt a bibliometric analysis to identify emerging themes and interconnections between these two streams of literature. Our study provides key themes and significance for each cluster. Our first examination of AI and crowd literature regarding connection to public values, complementary in public decision making, as well as future potential for joint adoption by governments provides some implications for future considerations.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123734120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Institutionalization of social media technologies in governments and public administrations is taking place world-wide. This process implies that after an initial phase of experimentation, social media is gradually formalized within the organizational structures as a response to the disruptive nature of these digital platforms. In this paper we focus on exploring what factors operate as inhibitors of the institutionalization process of social media in public administrations. For this purpose, we have conducted a questionnaire on social media aimed at Spanish local governments with more than 50.000 inhabitants. Based on this data, and following the literature on social media institutionalization, we define what we have named Social Media Institutionalization Index (SMI). Our SMI is based on a set of resumed indicators measuring the level of institutionalization of social media in public sector organizations. Descriptive analysis shows that Spanish local governments are halfway through social media institutionalization. Moreover, aspects including security, lack of resources for maintenance, control and evaluation, and organizational culture, are perceived by public employees in charge of social media as institutionalization inhibitors. Linear regression results partially corroborate some of these perceptions, highlighting organizational culture as a fundamental barrier. At the same time, our analysis emphasizes that some inhibitors could be overvalued by public employees.
{"title":"Analyzing social media institutionalization in public administration. The role of inhibitors in local governments","authors":"Julián Villodre, J. I. Criado","doi":"10.1145/3396956.3396984","DOIUrl":"https://doi.org/10.1145/3396956.3396984","url":null,"abstract":"Institutionalization of social media technologies in governments and public administrations is taking place world-wide. This process implies that after an initial phase of experimentation, social media is gradually formalized within the organizational structures as a response to the disruptive nature of these digital platforms. In this paper we focus on exploring what factors operate as inhibitors of the institutionalization process of social media in public administrations. For this purpose, we have conducted a questionnaire on social media aimed at Spanish local governments with more than 50.000 inhabitants. Based on this data, and following the literature on social media institutionalization, we define what we have named Social Media Institutionalization Index (SMI). Our SMI is based on a set of resumed indicators measuring the level of institutionalization of social media in public sector organizations. Descriptive analysis shows that Spanish local governments are halfway through social media institutionalization. Moreover, aspects including security, lack of resources for maintenance, control and evaluation, and organizational culture, are perceived by public employees in charge of social media as institutionalization inhibitors. Linear regression results partially corroborate some of these perceptions, highlighting organizational culture as a fundamental barrier. At the same time, our analysis emphasizes that some inhibitors could be overvalued by public employees.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"109 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113969369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to reveal patterns of e-petition co-signing behavior that are indicative of the mobilization of online “communities” engaging in collective action to express policy preferences on We the People (WtP), the first web-enabled US government petitioning system initiated by Obama. This Internet-based tool allowed users to petition the Obama Administration1 and solicit support for policy suggestions. Using petition data from WtP, this case study examines a set of 125 petitions that were created by individuals that are associated with a white supremacist group called The White Genocide Project2 . Using data mining techniques, namely market basket analysis and social network analysis, I found evidence of the mobilization of “communities” of individuals who systematically and strategically used the WtP platform to broadcast their message by creating and co-signing petitions every month for almost four years.
本研究旨在揭示电子请愿共同签名行为的模式，这些行为表明了在线“社区”参与集体行动，以表达我们人民(WtP)的政策偏好，这是奥巴马发起的第一个基于网络的美国政府请愿系统。这个基于互联网的工具允许用户向奥巴马政府请愿，并征求对政策建议的支持。使用WtP的请愿数据，本案例研究检查了一组125份请愿书，这些请愿书是由与白人至上主义组织“白人种族灭绝项目”(The white Genocide project)有关的个人创建的。使用数据挖掘技术，即市场购物篮分析和社会网络分析，我发现了个人“社区”动员的证据，这些人系统地、战略性地使用WtP平台，通过创建和共同签署请愿书来传播他们的信息，持续了近四年。
{"title":"Electronic Petitioning as Online Collective Action: Exploring the Systematic and Strategic E-petitioning Behavior of an Extremist Group in We the People","authors":"Catherine L. Dumas","doi":"10.1145/3396956.3398258","DOIUrl":"https://doi.org/10.1145/3396956.3398258","url":null,"abstract":"This study aims to reveal patterns of e-petition co-signing behavior that are indicative of the mobilization of online “communities” engaging in collective action to express policy preferences on We the People (WtP), the first web-enabled US government petitioning system initiated by Obama. This Internet-based tool allowed users to petition the Obama Administration1 and solicit support for policy suggestions. Using petition data from WtP, this case study examines a set of 125 petitions that were created by individuals that are associated with a white supremacist group called The White Genocide Project2 . Using data mining techniques, namely market basket analysis and social network analysis, I found evidence of the mobilization of “communities” of individuals who systematically and strategically used the WtP platform to broadcast their message by creating and co-signing petitions every month for almost four years.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125179960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sardar Haider Waseem Ilyas, Z. Soomro, A. Anwar, Hamza Shahzad, Ussama Yaqub
In this paper we evaluate public sentiment and opinion on Brexit during September and October 2019 by collecting over 16 million user messages from Twitter - world’s largest online micro-blogging service. We perform sentiment analysis using the Python VADER library, and topic modeling using Latent Dirichlet Allocation function of the gensim library. Through sentiment analysis, we quantify daily public sentiment towards Brexit and use it to evaluate Brexit’s impact on the British currency exchange rate and stock markets in Britain. With the aid of topic modeling, we discover the most popular daily topics of discussion on Twitter using the keyword ”Brexit”. Some of our findings include the discovery of positive correlation between Twitter sentiment towards Brexit and British pound sterling exchange rate. We also found daily discussion topics on Twitter, identified through unsupervised machine learning to be a good proxy of important current events related with Brexit.
{"title":"Analyzing Brexit’s impact using sentiment analysis and topic modeling on Twitter discussion","authors":"Sardar Haider Waseem Ilyas, Z. Soomro, A. Anwar, Hamza Shahzad, Ussama Yaqub","doi":"10.1145/3396956.3396973","DOIUrl":"https://doi.org/10.1145/3396956.3396973","url":null,"abstract":"In this paper we evaluate public sentiment and opinion on Brexit during September and October 2019 by collecting over 16 million user messages from Twitter - world’s largest online micro-blogging service. We perform sentiment analysis using the Python VADER library, and topic modeling using Latent Dirichlet Allocation function of the gensim library. Through sentiment analysis, we quantify daily public sentiment towards Brexit and use it to evaluate Brexit’s impact on the British currency exchange rate and stock markets in Britain. With the aid of topic modeling, we discover the most popular daily topics of discussion on Twitter using the keyword ”Brexit”. Some of our findings include the discovery of positive correlation between Twitter sentiment towards Brexit and British pound sterling exchange rate. We also found daily discussion topics on Twitter, identified through unsupervised machine learning to be a good proxy of important current events related with Brexit.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126382548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony Simonofski, Stefanie Van Den Storme, Hanne Meers
More and more cities aim to solve their urban challenges by implementing various smart city initiatives. Involving citizens in the design of these projects has proven to be an essential precondition for a successful outcome. Therefore, citizen participation in the context of smart cities has gained a considerable attention by researchers and practitioners. However, participation can be instrumental to solely gain a smart label and must thus be carefully evaluated. Several evaluation frameworks, largely based on the seminal work of Arnstein's Ladder in 1969, have been developed over the years but can be oversimplified, too strict or not fit for a smart city context. Following design science research, this paper develops a holistic framework to evaluate participation in smart cities by bundling several established evaluation scales from the scientific literature. By means of this framework, it is possible to evaluate to what extent smart city initiatives are citizen-oriented. Then, the framework is applied to the cities of Dublin and London. In order to collect more detailed information, we applied it to the case of Knokke-Heist (Belgium). Based on the evaluation of this city, some recommendations for improvement of its smart city strategy are proposed.
{"title":"Towards a Holistic Evaluation of Citizen Participation in Smart Cities","authors":"Anthony Simonofski, Stefanie Van Den Storme, Hanne Meers","doi":"10.1145/3396956.3396985","DOIUrl":"https://doi.org/10.1145/3396956.3396985","url":null,"abstract":"More and more cities aim to solve their urban challenges by implementing various smart city initiatives. Involving citizens in the design of these projects has proven to be an essential precondition for a successful outcome. Therefore, citizen participation in the context of smart cities has gained a considerable attention by researchers and practitioners. However, participation can be instrumental to solely gain a smart label and must thus be carefully evaluated. Several evaluation frameworks, largely based on the seminal work of Arnstein's Ladder in 1969, have been developed over the years but can be oversimplified, too strict or not fit for a smart city context. Following design science research, this paper develops a holistic framework to evaluate participation in smart cities by bundling several established evaluation scales from the scientific literature. By means of this framework, it is possible to evaluate to what extent smart city initiatives are citizen-oriented. Then, the framework is applied to the cities of Dublin and London. In order to collect more detailed information, we applied it to the case of Knokke-Heist (Belgium). Based on the evaluation of this city, some recommendations for improvement of its smart city strategy are proposed.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Building smart city systems has become a popular strategy for urban planners and developers. Applying the perspectives of social informatics to a dataset comprising 12 cities in the USA, this paper explores the adoption of smart city initiatives in small, medium and large cities. Complementing previous studies, the analysis builds on a comprehensive conceptualization of the smart city concept that includes the dimensions of government, physical environment and society. Our findings suggest that all cities in the sample experience significant pressures from population growth, and that smaller cities have less complex approaches to smart city adoption. In addition, medium cities appear to emphasize more on the social dimension of smart cities.
{"title":"Understanding Smart City Projects and Priorities across Large, Medium and Small Cities in the United States","authors":"Brian M. Poltie, E. Udoh, L. Luna-Reyes","doi":"10.1145/3396956.3397867","DOIUrl":"https://doi.org/10.1145/3396956.3397867","url":null,"abstract":"Building smart city systems has become a popular strategy for urban planners and developers. Applying the perspectives of social informatics to a dataset comprising 12 cities in the USA, this paper explores the adoption of smart city initiatives in small, medium and large cities. Complementing previous studies, the analysis builds on a comprehensive conceptualization of the smart city concept that includes the dimensions of government, physical environment and society. Our findings suggest that all cities in the sample experience significant pressures from population growth, and that smaller cities have less complex approaches to smart city adoption. In addition, medium cities appear to emphasize more on the social dimension of smart cities.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The interactive “hands-on” workshop session on Networked Governance addressed a real-life use case from TRIPLE, a European funded project in the field of Digital Humanities. “The TRIPLE project aims to facilitate more efficient and effective Social Sciences and Humanities research for societies at large by involving civil society, public institutions and companies into scientific projects, thus strengthening the links between different types of stakeholders” [1]. Workshop participants discussed the need for multistakeholder cooperation and networked governance in the age of global interdependence. The output of the discussion aimed to ground the purpose and core principles of the multistakeholder "Trust Building System" developed within the TRIPLE platform.
{"title":"Networked Governance: Enabling Multistakeholder Cooperation","authors":"G. Weyenbergh, A. Paulin","doi":"10.1145/3396956.3396982","DOIUrl":"https://doi.org/10.1145/3396956.3396982","url":null,"abstract":"The interactive “hands-on” workshop session on Networked Governance addressed a real-life use case from TRIPLE, a European funded project in the field of Digital Humanities. “The TRIPLE project aims to facilitate more efficient and effective Social Sciences and Humanities research for societies at large by involving civil society, public institutions and companies into scientific projects, thus strengthening the links between different types of stakeholders” [1]. Workshop participants discussed the need for multistakeholder cooperation and networked governance in the age of global interdependence. The output of the discussion aimed to ground the purpose and core principles of the multistakeholder \"Trust Building System\" developed within the TRIPLE platform.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117301784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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