scholarly journals Big Data and government: Evidence of the role of Big Data for smart cities

2019 ◽  
Vol 6 (1) ◽  
pp. 205395171984254 ◽  
Author(s):  
Sounman Hong ◽  
Sun Hyoung Kim ◽  
Youngrok Kim ◽  
Jeongin Park
Keyword(s):  
Big Data ◽  
Smart Cities ◽  
Policy Outcomes ◽  
Government Service ◽  
Mobile Phone Use ◽  
Metropolitan Government ◽  
Late Night ◽  
Quantitative Studies ◽  
The Government

Scholars are becoming increasingly interested in whether and how government use of Big Data will affect public policy outcomes. Despite such growing scholarly interests, however, little evidence exists on the role Big Data can play in improving government service. We undertake one of the first quantitative studies revealing the potential utility and limitations of “Big Data-based policymaking” by exploring its recent use by the Seoul Metropolitan Government. In 2013, the government introduced the “Owl Bus”—a late-night bus system—the routes of which were selected based on government analyses of Big Data relating to citizens’ late-night taxi and mobile phone use. The findings suggest that the average number of passengers utilizing the Owl Bus routes was significantly greater than that on other daytime bus routes with comparable characteristics. That said, we also present the potential limitations of evidence-based policymaking in general, especially when politics and equity considerations are factored in.

scholarly journals IoT Based Smart Garage Vehicle Washing Water Nestor

2020 ◽  
Vol 8 (5) ◽  
pp. 3521-3525
Keyword(s):  
Water Pollution ◽  
Cloud Computing ◽  
Big Data ◽  
Smart Cities ◽  
Human Life ◽  
Research Paper ◽  
Proper Treatment ◽  
Computing Services ◽  
Cloud Computing Services ◽  
The Government

Water is critical part of the human life. In most of the developing nation, water pollution is one of the bigger mess. These issues can be handled strictly by the Government organization, by implementing tougher action rules to the industries, were the water are released without any proper treatment. Where each industries (or) smart cities, should take up self-initiative responsibility for proper treatment of the polluted out flow water. In our research paper, we are not focusing on the wider area of the water pollution; our focus is limited within the smart cities vehicle washing garages. In very smart cities, were a regular multiple vehicles washing is done in the garage, our research paper will focus on the out flow of the populated water from these vehicle washing garages. Our design and implantation process is simpler and straightforward approach. Were we will monitor of the water quality; and how much level of the water is populated, and it requires at what level of the treatment. These process can be easily automated using the multiple IOT (internet of things) based sensors, the data can be streamed into the Big Data lake (or) it can be directly pushed into the cloud computing services for generating the real time graphs and analyses report instantly. These data collected in the Big Data lake (or) cloud computing services, can be used for detail analyses for research purpose. We will incorporate the block chain concept to keep track of the smart garage location address and the detail information of the number of garage in the smart cities details in the form of the blocks.

Political Support

2007 ◽  
Vol 40 (12) ◽  
pp. 1511-1532 ◽  
Author(s):  
Henar Criado ◽  
Francisco Herreros
Keyword(s):  
Political Institutions ◽  
European Social Survey ◽  
Political Support ◽  
Policy Outcomes ◽  
Attribution Of Responsibility ◽  
Data Set ◽  
Social Survey ◽  
Individual Variables ◽  
The Government

The analysis of the causes of political support for political institutions has been focused either on one-case studies that stress the relevance of individual variables or cross-national studies that stress the role of institutions. In this article, the authors suggest that to understand the logic of political support, it is necessary to combine both types of explanations. Using evidence from 17 European countries of the 2002 to 2003 European Social Survey data set, the authors show that the effect of the performance of the institution on political support is higher in majoritarian democracies, where the attribution of responsibility for policy outcomes is clear, than in proportional democracies. They also show that the effect of ideology on political support depends on the type of democracy: Those citizens ideologically far from the government will show higher levels of political support in proportional democracies than in majoritarian ones.

scholarly journals The specifics of working with “big data” in modern media

2021 ◽  
pp. 28-37
Author(s):  
Daria Valer'evna Nerents
Keyword(s):  
Big Data ◽  
Evidence Base ◽  
Data Sets ◽  
Publication Data ◽  
The Government ◽  
Socially Relevant ◽  
Source Of Information ◽  
Statistical Indicators

As of today, Big Data is the source of information that journalists can no longer neglect. Data sets, databases, unstructured data on the official websites of the government or commercial institutions are a resource for the work of journalists. Big Data is not only the source of information, but also the evidence base. Using quantitative and statistical indicators as the arguments for their theses, the journalists increases the level of audience loyalty and trust to the publication. Data analysis, establishment of correlations, making forecasts and ratings allows creative exclusive, attractive and reliable content that attracts the audience and improves reputation of the publisher. This article is dedicated to determination of the role of “big data” in the work of information and analytical departments of the publisher, as well as in coverage of the socially relevant topics and outlining trends in further work of the journalists with such information. Over the study period (from 2017 to the present) the author employed the methods of description, comparative analysis, and generalization. In conclusion, the author notes that the collection and processing of the data requires a strong approach and utmost attention of the journalists.

scholarly journals An Effective Assessment of Deen Dayal Upadhyay Grameen Kaushalya Yojana (DDU-GKY) in Providing Skill Training Programme for Youth: A Study of Haryana State

2021 ◽  
pp. 227-233
Author(s):  
Vaibhav Verma ◽  
Dr. Pradeep Singh Chauhan
Keyword(s):  
Smart Cities ◽  
Skill Training ◽  
Secondary Data ◽  
Training Programme ◽  
Rural Youth ◽  
Educational Institutions ◽  
Demographic Dividend ◽  
The Government ◽  
Effective Assessment

Skills development is imperative to sustaining traditional growth and development in a country like India which is experiencing a demographic dividend. It is a huge challenge not only for the government, but also for the private sector and educational institutions to rise up and specialize to make the country’s youth employable and ensure that there is no mismatch between demand and the offer. This study examines the role of Deen Dayal Upadhyay Grameen Kaushalya Vikas Yojana (DDU-GKY) in the development of rural youth in the Haryana State. Secondary data (2015-2021) were used for the study. The results show that the interest of the population towards DDU-GKY and the interns recruited has greatly diminished, which is a matter of concern. Key Words: Demographic Dividend, Inclusive Growth, Smart Cities, Skill India

scholarly journals Studi On Big Data Analytics Framework in Smart City Context

2021 ◽  
Vol 328 ◽  
pp. 04022
Author(s):  
Rahmawati Dinda ◽  
Arief Assaf ◽  
Do Abdullah Saiful Saiful
Keyword(s):  
Big Data ◽  
Smart City ◽  
Data Analytics ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Future Research ◽  
Technology Governance ◽  
Advantages And Disadvantages ◽  
The Government ◽  
Data Analytic

The issue of global urbanization, which is a separate problem faced by the government, is the very rapid growth of population density in cities. To face this challenge, the government launched a smart city project by targeting sustainable economic growth and improving the quality of life. Information and Communication Technology governance is the key to realizing a smart city. However, each of these I.C.T. tools produce large amounts of data known as Big Data. Data processing with the Big Data approach is becoming a trend in information systems to provide better public services and provide references in the policy-making process. However, to obtain important information in the scope of big data, a Big Data Analytics process is needed, also known as Big Data Value Chain. Extracting knowledge from the related literature can identify the characteristics of the big data analytic framework for smart cities. This paper reviews several big data analytic frameworks applied to smart cities. This paper is to find the advantages and disadvantages of each framework so that it can be a direction for future research

Sociotechnical Transformative Effects of an ICT Project in Rural Bangladesh

2020 ◽  
Vol 64 (13) ◽  
pp. 1871-1888 ◽  
Author(s):  
Larry Stillman ◽  
Mauro Sarrica ◽  
Misita Anwar ◽  
Anindita Sarker ◽  
Manuela Farinosi
Keyword(s):  
Economic Transformation ◽  
Cultural Issues ◽  
Mobile Phone Use ◽  
Digital Divides ◽  
Information And Communication ◽  
Field Notes ◽  
The Government ◽  
And Training

The purpose of this article is to provide lessons from the field about an Information and Communication Technology for Development (ICT4D) project (Participatory Research and Ownership With Technology, Information and Change [PROTIC]) concerned with the use of mobile phones by women in remote villages in Bangladesh. The Bangladeshi government considers that the role of ICT in social and economic transformation is significant for the country’s development. International nongovernmental organizations (NGOs) also regard ICT as important but are challenged as how to use them effectively for their programs and how to deal with long-term sustainability, digital divides, gender, and cultural issues. This article considers the PROTIC project as a modeling force for innovation and pressure on established sociotechnical structures. In this analysis, we follow what Donner defines as the “interrelationship” perspective, as applied to ICT4D. In particular, the notions of niche, regime, and landscape will be used to frame the changes that a village-level project may activate or respond to at the micro, meso, and macro levels of sociotechnical interaction. A mixed methods approach has been implemented during the 4 years of the project to monitor its outcomes, including interviews with project participants, reports of monthly consultations and training with villagers, extensive surveys, analysis of the Facebook profile of the project, and field notes and interviews with local NGOs and international NGO staff. Results show that the women villagers have undergone a transformation in attitudes, skills, and practices associated with mobile phone use. Transformations at individual and community niche levels have in turn influenced the conceptual framework of local and international NGOs and have also contributed to the reorientation of other regime actors, such as universities, major NGOs, and the government. Methodological constraints as well as the complexity of conducting international fieldwork with multiple actors will also be discussed.

Role of BIC (Big Data, IoT, and Cloud) for Smart Cities

2021 ◽  
Author(s):  
Ning Chai ◽  
Chun Mao ◽  
Minjie Ren ◽  
Wenwen Zhang ◽  
Parthasarathy Poovendran ◽  
...  
Keyword(s):  
Big Data ◽  
Smart Cities
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