scholarly journals Artificial Intelligence as a Source of Political Thinking

2020 ◽  
Vol 4 (2) ◽  
pp. 23-33 ◽  
Author(s):  
I. Bykov
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Big Data ◽  
Political Communication ◽  
Meta Analysis ◽  
Research Question ◽  
Analysis Method ◽  
The Past ◽  
Scopus Database ◽  
Number Of Publications

The aim of this work is to study the state of current research in the field of politics and AI. Our research question is about the possibility of using artificial intelligence in order to run political judgments. The main problem of researching artificial intelligence deals with the value-based biases of judgments about the present and the future of these technologies. The article uses the meta-analysis method, which in recent years has become quite widespread in the specialized literature. The article provides an overview of the most cited publications in the Scopus database with the keywords “Artificial Intelligence” and “Politics”. In total, the study has included 76 articles and reports that were indexed by the database over the past 20 years. It is concluded that in recent years there has been a trend towards an increase in the number of publications on the problems of artificial intelligence and politics. However, most of them are only indirectly related to the central problems of political science. The study of the topic of artificial intelligence most closely adjoins the study of the problems of big data and political communication in social networks.

Big data and artificial intelligence for health system sustainability: The case of Veneto Region

2021 ◽  
pp. 31-52
Author(s):  
Grazia Dicuonzo ◽  
Francesca Donofrio ◽  
Antonio Fusco ◽  
Vittorio Dell’Atti
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Healthcare System ◽  
Care Delivery ◽  
Research Question ◽  
Health Agency ◽  
Time Frame ◽  
Structured Interviews ◽  
Case Study Methodology ◽  
The Impact

This paper investigates the digitalization challenges facing the Italian healthcare system. The aim of the paper is to support healthcare organizations as they take advantage of the potential of big data and artificial intelligence (AI) to promote sustainable healthcare systems. Both the development of innovative processes in the management of health care activities and the introduction of healthcare forecasting systems are valuable resources for clinical and care activities and enable a more efficient use of inputs in essential-level care delivery. By examining an innovative project developed by the Regional Social Health Agency (ARSS) of Veneto, this study analyses the impact of big data and AI on the sustainability of a healthcare system. In order to answer the research question, we used a case study methodology. We conducted semi-structured interviews with key members of the organizational group involved in the case. The results show that the implementation of AI algorithms based on big data in healthcare both improves the interpretation and processing of data, and reduces the time frame necessary for clinical processes, having a positive effect on sustainability.

BIG DATA PROCESSING IN THE DIGITALIZATION OF ENTERPRISE ACTIVITIES

2021 ◽  
Vol 75 (3) ◽  
pp. 76-82
Author(s):  
G.T. Balakayeva ◽  
◽  
D.K. Darkenbayev ◽  
M. Turdaliyev ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Growth Rate ◽  
Big Data ◽  
Data Processing ◽  
New Technologies ◽  
Large Data ◽  
Modern Society ◽  
Information Flows ◽  
Professional Activities ◽  
The Past

The growth rate of these enterprises has increased significantly in the last decade. Research has shown that over the past two decades, the amount of data has increased approximately tenfold every two years - this exceeded Moore's Law, which doubles the power of processors. About thirty thousand gigabytes of data are accumulated every second, and their processing requires an increase in the efficiency of data processing. Uploading videos, photos and letters from users on social networks leads to the accumulation of a large amount of data, including unstructured ones. This leads to the need for enterprises to work with big data of different formats, which must be prepared in a certain way for further work in order to obtain the results of modeling and calculations. In connection with the above, the research carried out in the article on processing and storing large data of an enterprise, developing a model and algorithms, as well as using new technologies is relevant. Undoubtedly, every year the information flows of enterprises will increase and in this regard, it is important to solve the issues of storing and processing large amounts of data. The relevance of the article is due to the growing digitalization, the increasing transition to professional activities online in many areas of modern society. The article provides a detailed analysis and research of these new technologies.

Strategic Communication in the C-Suite

2017 ◽  
Vol 54 (2) ◽  
pp. 146-160 ◽  
Author(s):  
Paul A. Argenti
Keyword(s):  
Big Data ◽  
21St Century ◽  
Elevated Level ◽  
Research Question ◽  
Strategic Communication ◽  
Central Research ◽  
Corporate Communications ◽  
Leadership Communication ◽  
The Past ◽  
Communication In Organizations

This article explores the ways in which C-suite executives are using corporate communications to execute strategy. Over the past two decades, we have seen a profound shift in how leaders view communications within organizations. This shift has moved from a tactical and superficial focus (speech writing, media placements) to a more strategic and elevated level (developing and implementing strategy through communication, sophisticated measurement using big data to understand constituencies and influence reputation). Thus, the central research question in this article is focused on the following theme: “How do leaders use communications to execute strategy in the 21st century?” Through a review of current literature on the topic and synthesis of both published and newly conducted interviews, the article provides a snapshot of leadership communication in organizations today as it relates to the execution of strategy.

Reports on the 2013 AAAI Fall Symposium Series

AI Magazine ◽  
2014 ◽  
Vol 35 (2) ◽  
pp. 69-74
Author(s):  
Gully Burns ◽  
Yolanda Gil ◽  
Yan Liu ◽  
Natalia Villanueva-Rosales ◽  
Sebastian Risi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Social Networks ◽  
Big Data ◽  
Computational Social Science ◽  
Social Contagion ◽  
Washington Dc ◽  
Web Analytics ◽  
Symbolic Representations ◽  
Symposium Series

The Association for the Advancement of Artificial Intelligence was pleased to present the 2013 Fall Symposium Series, held Friday through Sunday, November 15–17, at the Westin Arlington Gateway in Arlington, Virginia near Washington DC USA. The titles of the five symposia were as follows: Discovery Informatics: AI Takes a Science-Centered View on Big Data (FS-13-01); How Should Intelligence be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or — ? (FS-13-02); Integrated Cognition (FS-13-03); Semantics for Big Data (FS-13-04); and Social Networks and Social Contagion: Web Analytics and Computational Social Science (FS-13-05). The highlights of each symposium are presented in this report.

Presence and specificity of the political communication of the Catalan independence leaders on Twitter in the 2017 regional elections

First Monday ◽  
2020 ◽  
Author(s):  
Javier Bustos Díaz ◽  
Francisco Javier Ruiz del Olmo ◽  
Miguel Nazario Moreno Velasco
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Political Parties ◽  
Political Communication ◽  
Media Coverage ◽  
Mixed Methodology ◽  
The Political ◽  
Political Leaders ◽  
Electoral Campaign ◽  
Regional Elections

The regional elections in Catalonia held on 21 December 2017 received wide media coverage, far beyond Spanish media, due to separatist tension in that territory and was one of the main topics in most of the world’s media. Within this process social networks, especially Twitter, obtained crucial relevance given the interest aroused by the political leaders’ publications, since in those elections the debate transcended the usual ideological divisions of right and left and became a struggle between constitutionalists and separatists. This paper analyses the presence and influence of the main candidates of the Catalan political parties on Twitter. To achieve this, a mainly quantitative, mixed methodology based on big data was carried out where all the tweets issued by the candidates during the electoral campaign were analysed.

scholarly journals Social Network Extraction Unsupervised

2021 ◽  
Vol 12 (3) ◽  
pp. 4443-4449
Author(s):  
Mahyuddin K. M. Nasution Et.al
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Information Technology ◽  
Big Data ◽  
Social Network ◽  
Data Science ◽  
Information Sources ◽  
Scientific Data

In the era of information technology, the two developing sides are data science and artificial intelligence. In terms of scientific data, one of the tasks is the extraction of social networks from information sources that have the nature of big data. Meanwhile, in terms of artificial intelligence, the presence of contradictory methods has an impact on knowledge. This article describes an unsupervised as a stream of methods for extracting social networks from information sources. There are a variety of possible approaches and strategies to superficial methods as a starting concept. Each method has its advantages, but in general, it contributes to the integration of each other, namely simplifying, enriching, and emphasizing the results.

The Use of Social Networks in Achieving e-Democracy in the Arab Spring Countries

2016 ◽  
Vol 8 (2) ◽  
pp. 17-33
Author(s):  
Hany Abdelghaffar ◽  
Lobna Hassan
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Research Question ◽  
Survey Method ◽  
The Past ◽  
Electronic Democracy ◽  
Proposed Model ◽  
Information And Communication ◽  
The Government ◽  
The Arab Spring

Electronic democracy (e-democracy) is a way to engage citizens and politicians with their government through the use of Information and Communication Technology (ICTs) tools. Although the concept of e-democracy has been growing during the past years, few studies have examined how to achieve success of e-democracy via social networks. This research is answering the following question: How social networks support the local government decision making to enhance e-democracy? To answer the research question, a proposed model was introduced and a survey method was employed. Findings showed that governments could use social networks to facilitate awareness of information among citizens and support citizens in building their communities. Furthermore, social networks would help to facilitate deliberation among citizens. However, this should be supported with appropriate level of involvements from the government side in the discussion to provide support. Through this, governments could enhance their decision making.

scholarly journals THE 50 MOST CITED ARTICLES IN THE BRAZILIAN MEDICAL LITERATURE ON KNEE SURGERY

2020 ◽  
Vol 28 (1) ◽  
pp. 44-48
Author(s):  
Renan Vinicius Romano Martinelli ◽  
Diego Costa Astur ◽  
Gustavo Kenzo Miyashita ◽  
João Victor Novaretti ◽  
Moisés Cohen ◽  
...  
Keyword(s):  
Medical Literature ◽  
Meta Analysis ◽  
Knee Surgery ◽  
Public Research ◽  
Level Of Evidence ◽  
Biometric Analysis ◽  
Analytical Importance ◽  
Scopus Database ◽  
Number Of Publications ◽  
Year 2000

ABSTRACT Objective: To provide an analysis of the 50 most cited articles on knee surgery in the Brazilian medical literature. Methods: This is a study of systematic review and meta-analysis, level of evidence 3. It was carried out through search in the SCOPUS database to identify scientific articles published in the Brazilian medical literature. Eighty-six Brazilian journals were analyzed, and articles with ten or more citations and which had the word “joelho” or “knee” in the title, abstract or keywords were selected. Results: All articles were published as of the year 2000 in 14 journals. The Journal Clinics presented the largest number of publications, followed by Acta Ortopédica Brasileira. The main focus of the studies was on anatomy and biomechanics, mainly from Brazilian authors. Most of the authors were Brazilian, from Brazilian and public research institutions. Conclusion: Biometric analysis has been gaining ground in recent years, but its interpretation must consider various aspects related to the paramount analytical importance.

scholarly journals The Potential of The Big Data Implementation, in Serbia, in the context of Marketing Research

2018 ◽  
Vol 23 (2) ◽  
pp. 39
Author(s):  
Ana Miodrag Zekavica ◽  
Aleksandar Djordjevic ◽  
Aleksandra Vukmirovic ◽  
Jovanka Vukmirovic ◽  
Milica Brankovic
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Online Survey ◽  
New Technologies ◽  
Research Question ◽  
Marketing Research ◽  
Business Environment ◽  
Global Market ◽  
Business Decision ◽  
Business Entities

Research question: Big Data represents a true business revolution in many areas, and, as such, in marketing research, as well. The subject of this study is the analysis of the existing stage, as well as of the achieved results in the implementation of the Big Data Technology in Serbia. Motivation: The success in managing the company depends on the ability to provide quality and comprehensive information by establishing personalized (1:1) communication with consumers on the global market in real or near real-time. This form of communication has become an imperative of the modern business decision-making process. Advanced Internet technologies, Cloud Computing (Cloud Technology), Big Data and Artificial Intelligence open a significant business potential for companies in Serbia to emerge on global markets. Idea: of this study is to perceive current business environment in Serbia through the prism of research development based on the Big Data technologies. Relevant hypotheses and conducted research have been set up with the aim of pointing to the potential of applying modern information-communication technologies, with an emphasis on artificial intelligence and the Big Data concept. Data: The survey was conducted on 154 business entities from the Serbian Business Register Agency’s database. The applied sampling method was a random analysis (selection was made randomly from the total number of selected companies, with the same probability of choice). Tools: An online survey was used, and respondents were contacted via e-mail. Findings: Research results, opinions and attitudes of managers, experts in the fields of marketing research and information technology, indicate a significant degree of justifiability of investments in new technologies in the Republic of Serbia and result in several proposals of certain measures and recommendations of incentives that should be conducted by the State. Contribution: The solutions in this paper are based upon the implementation of standardized procedures and advanced tools that could be used to overcome a "bottleneck" in the existing IT infrastructure, in order to enable a rapid collection and implementation of enabled data.

scholarly journals Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems

2019 ◽  
Vol 4 (1) ◽  
pp. 428-436
Author(s):  
József Menyhárt ◽  
Róbert Szabolcsi
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Standard Form ◽  
Optimal Operation ◽  
Support Vector ◽  
Battery Management ◽  
Worst Case ◽  
Energy Management Systems ◽  
The Past ◽  
Operation Conditions

Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.

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