Model my watershed: an investigation into the role of big data, technology, and models in promoting student interest in watershed action

Author(s):  
Nanette Marcum-Dietrich ◽  
Steve Kerlin ◽  
Amanda Hendrix ◽  
Nicole Sorhagen ◽  
Carolyn Staudt ◽  
...  
2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaoge Jia

This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.


Geocontext ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 27-32
Author(s):  
Nikita Nosov

The article is devoted to the implementation of Big Data technology in the auto industry and insurance. The article substantiates the need to use this technology in the context of rapidly growing volumes of information, describes the role of big data in modern life and predicts its use in the concept of the future development of the Digital Earth. The current level of Big Data usage in the automotive sector in Russia and around the world is considered. The §author describes the main areas of application of Big Data, such as car insurance using telematics devices, navigation, improving the production process of cars in terms of identifying and eliminating system flaws that are detected during operation, as well as about the growing popularity and at the same time causing heated controversy of the technology of unmanned driving. Statistical data on the number of self-driving cars in countries, the level of their introduction into everyday life, and people's readiness for a new stage of transport development are presented. Separately, the author raises the question of the legal regulation of Big Data, which at this stage is in its infancy and requires careful study, identifies current legal problems that arise in the process of implementing this technology. As a solution to the problem, a number of measures are proposed to fill the existing gap and establish compliance with the rule of law and common principles for the use and protection of Big data.


Geocontext ◽  
2021 ◽  
pp. 27-32
Author(s):  
Nikita Nosov

The article is devoted to the implementation of Big Data technology in the auto industry and insurance. The article substantiates the need to use this technology in the context of rapidly growing volumes of information, describes the role of big data in modern life and predicts its use in the concept of the future development of the Digital Earth. The current level of Big Data usage in the automotive sector in Russia and around the world is considered. The §author describes the main areas of application of Big Data, such as car insurance using telematics devices, navigation, improving the production process of cars in terms of identifying and eliminating system flaws that are detected during operation, as well as about the growing popularity and at the same time causing heated controversy of the technology of unmanned driving. Statistical data on the number of self-driving cars in countries, the level of their introduction into everyday life, and people's readiness for a new stage of transport development are presented. Separately, the author raises the question of the legal regulation of Big Data, which at this stage is in its infancy and requires careful study, identifies current legal problems that arise in the process of implementing this technology. As a solution to the problem, a number of measures are proposed to fill the existing gap and establish compliance with the rule of law and common principles for the use and protection of Big data.


2020 ◽  
Vol 10 (24) ◽  
pp. 8917
Author(s):  
Daegu Cho ◽  
Myungdo Lee ◽  
Jihye Shin

In the information age, the role of data in any industry is getting more and more important. In the construction industry, however, experts’ experience and intuition are still key determinants in decision-making, while other industries achieve tangible improvement in paradigm shifts by adopting cutting-edge information technology. Cost and schedule controls, which are closely connected, are decisive in the success of construction project execution. While a vast body of research has developed methodologies for cost-schedule integration over 50 years, there is no method used in practice; it remains a significant challenge in the construction industry. This study aims to propose a data processing algorithm for integrated cost-schedule data management employing big data technology. It is designed to resolve the main obstacle to the practicality of existing methods by providing integrity and flexibility in integrating cost-schedule data and reducing time on building and changing databases. The proposed algorithm is expected to transform field engineers’ current perception regarding information management as one of the troublesome tasks in a data-friendly way.


2019 ◽  
Vol 1 (1) ◽  
pp. 96-105
Author(s):  
Shaikh Shamim Hasan ◽  
Yue Zhang ◽  
Xi Chu ◽  
Yanmin Teng

Purpose Forest as a vital natural resource in China plays an irreplaceable important role in safeguarding ecological security and human survival and development. Due to the vast territory, huge population and widespread forest landscape of China, forest management is a complex system involving massive data and various management activities. To effectively implement sustainable forest management, the big data technology has been utilized to analyze China’s forestry resources. Thus, the purpose of this paper is to clarify the role of big data technology in China’s forest management. Design/methodology/approach In this paper, the authors revisited the roles of big data in forest ecosystem monitoring, forestry management system development, and forest policy implementation. Findings It demonstrates that big data technology has a great potential in forest ecosystem protection and management, as well as the government’s determination for forest ecosystem protection. However, to deepen the application of big data in forest management, several challenges still need to be tackled. Originality/value Thus, enhancing modern science and technology to improve big data, cloud computing, and information technologies and their combinations will contribute to tackle the challenges and achieve wisdom of forest management.


2018 ◽  
Vol 170 ◽  
pp. 01107 ◽  
Author(s):  
Nikolay Ivanov ◽  
Maxim Gnevanov

To date, there is no doubt about the need and possibilities of using large amounts of information. So called “Big Data" technology is used in a variety of areas, and urban planning is no exception. The article discusses how to use large amounts of information for a competent design of social and engineering urban networks in the interests of cities residents while preserving historical appearance of cities. The proposed hypothesis states that urban planning can transition to a new higher level with the introduction of "Big Data" technology based on the concept of "Smart City", which not only makes the life of residents comfortable, but also allows making timely adjustments to one or other urban process with the purpose of its improvement. Additionally, possible approaches of the concept implementation and their applicability under various conditions are discussed. The article analyzes the experience of Smart City concept implementation as a part of "Big Data" technologies in practice of a number of European cities. Important positive results of such implementation are noted. The role and place of each of the parties interested in sustainable development of the city, in the development of intellectual systems for managing this development is discussed. In particular, a lot of attention is paid to the role of the state as the initiator and coordinator of interaction between the parties, the main holder and user of data, services and infrastructure. It is concluded that the potential built into the "Big Data" technology will allow us to move to a new level of urban planning, based on real urban data collected by various technical means.


TEM Journal ◽  
2020 ◽  
pp. 756-762
Author(s):  
Sergey V. Novikov

This article explores the role of Data Science and Big Data technology in the modern digital economy. The author states that large and medium companies from retail trade and service sector show increased interest in using them. These technologies are actively used by banks, mobile operators and large manufacturing companies to analyze data on equipment failures and to reduce downtime, which allows reducing costs. The role of Big Data technology is to be a liquid product and a necessary condition to increase the profitability of enterprises through personalized customer service and predictive analytics. For today's Russian digital economy, it is very important to legalize a single definition of Big Data and to achieve the emergence of special data exchanges.


2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang

In the Internet era, computer technology and data analysis technology have been widely applied to people’s work and their daily lives. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with crises of public opinion[1]. However, in the actual public management practice, there are widespread problems such as single practice model and poor data openness. Based on this, the article expounds the relevant contents of big data, introduces the role of big data in public management, and studies the public management innovation in the era of big data.  


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