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Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience). / Eidemiller, Konstantin; Kudryavtseva, Regina Elizaveta; Samylovskaya, Ekaterina; Kulik, Sergey.

Integrating Engineering Education and Humanities for Global Intercultural Perspectives. Springer Nature, 2020. p. 951-959 (Lecture Notes in Networks and Systems; Vol. 131).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Harvard

Eidemiller, K, Kudryavtseva, RE, Samylovskaya, E & Kulik, S 2020, Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience). in Integrating Engineering Education and Humanities for Global Intercultural Perspectives. Lecture Notes in Networks and Systems, vol. 131, Springer Nature, pp. 951-959, Integrating Engineering Education and Humanities for Global Intercultural Perspectives, Saint-Petersburg, Russian Federation, 25/03/20. https://doi.org/10.1007/978-3-030-47415-7_102

APA

Eidemiller, K., Kudryavtseva, R. E., Samylovskaya, E., & Kulik, S. (2020). Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience). In Integrating Engineering Education and Humanities for Global Intercultural Perspectives (pp. 951-959). (Lecture Notes in Networks and Systems; Vol. 131). Springer Nature. https://doi.org/10.1007/978-3-030-47415-7_102

Vancouver

Eidemiller K, Kudryavtseva RE, Samylovskaya E, Kulik S. Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience). In Integrating Engineering Education and Humanities for Global Intercultural Perspectives. Springer Nature. 2020. p. 951-959. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-3-030-47415-7_102

Author

Eidemiller, Konstantin ; Kudryavtseva, Regina Elizaveta ; Samylovskaya, Ekaterina ; Kulik, Sergey. / Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience). Integrating Engineering Education and Humanities for Global Intercultural Perspectives. Springer Nature, 2020. pp. 951-959 (Lecture Notes in Networks and Systems).

BibTeX

@inbook{5edfb29e83a94eb3b0d21a062b2ed83f,
title = "Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience)",
abstract = "In this study, we present a paper that analyzes the problems of creating digital models for predicting the Muslim population growth, which both individual scientists and such large research companies use in the creation of their works, papers and research. One of the most authoritative developers of digital models for predicting the Muslim population growth in the world is the researcher Houssain Kettani. His models are developed using advanced computational science and engineering techniques and include high-performance computational algorithms, data methodology, and number theory. Despite the objectivity of this kind of research and the popularity of their use in political, analytical and theoretical works, as well as in the development of public development programs, they give a rather serious failure and significant distortion of the final output data in individual subject-specific cases. Nevertheless, this does not diminish or implore their importance and significance, especially in helping researchers in the Humanities and Natural Sciences. In this paper, we will consider the problems of creating digital models for predicting the Muslim population growth. We will study Northern Europe as an example, identify the critical vulnerabilities of these models, and analyze the causes of their failure methodologically. The authors will present the actual variance in the original sources of statistics, indicate and justify the failure of some local conventional concepts and actual irrelevance of national systems of open metadata database, which in fact are the source of confusion for both ordinary researchers and corporations.",
keywords = "Data methodology, Digital forecasting models, Muslim communities, Northern Europe, Number theory",
author = "Konstantin Eidemiller and Kudryavtseva, {Regina Elizaveta} and Ekaterina Samylovskaya and Sergey Kulik",
year = "2020",
doi = "10.1007/978-3-030-47415-7_102",
language = "English",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Nature",
pages = "951--959",
booktitle = "Integrating Engineering Education and Humanities for Global Intercultural Perspectives",
address = "Germany",
note = "Integrating Engineering Education and Humanities for Global Intercultural Perspectives, IEEHGIP 2020 ; Conference date: 25-03-2020 Through 27-03-2020",

}

RIS

TY - CHAP

T1 - Creation of Digital Models for Predicting the Muslim Population Growth for Teaching Socio-humanities (Northern Europe Experience)

AU - Eidemiller, Konstantin

AU - Kudryavtseva, Regina Elizaveta

AU - Samylovskaya, Ekaterina

AU - Kulik, Sergey

PY - 2020

Y1 - 2020

N2 - In this study, we present a paper that analyzes the problems of creating digital models for predicting the Muslim population growth, which both individual scientists and such large research companies use in the creation of their works, papers and research. One of the most authoritative developers of digital models for predicting the Muslim population growth in the world is the researcher Houssain Kettani. His models are developed using advanced computational science and engineering techniques and include high-performance computational algorithms, data methodology, and number theory. Despite the objectivity of this kind of research and the popularity of their use in political, analytical and theoretical works, as well as in the development of public development programs, they give a rather serious failure and significant distortion of the final output data in individual subject-specific cases. Nevertheless, this does not diminish or implore their importance and significance, especially in helping researchers in the Humanities and Natural Sciences. In this paper, we will consider the problems of creating digital models for predicting the Muslim population growth. We will study Northern Europe as an example, identify the critical vulnerabilities of these models, and analyze the causes of their failure methodologically. The authors will present the actual variance in the original sources of statistics, indicate and justify the failure of some local conventional concepts and actual irrelevance of national systems of open metadata database, which in fact are the source of confusion for both ordinary researchers and corporations.

AB - In this study, we present a paper that analyzes the problems of creating digital models for predicting the Muslim population growth, which both individual scientists and such large research companies use in the creation of their works, papers and research. One of the most authoritative developers of digital models for predicting the Muslim population growth in the world is the researcher Houssain Kettani. His models are developed using advanced computational science and engineering techniques and include high-performance computational algorithms, data methodology, and number theory. Despite the objectivity of this kind of research and the popularity of their use in political, analytical and theoretical works, as well as in the development of public development programs, they give a rather serious failure and significant distortion of the final output data in individual subject-specific cases. Nevertheless, this does not diminish or implore their importance and significance, especially in helping researchers in the Humanities and Natural Sciences. In this paper, we will consider the problems of creating digital models for predicting the Muslim population growth. We will study Northern Europe as an example, identify the critical vulnerabilities of these models, and analyze the causes of their failure methodologically. The authors will present the actual variance in the original sources of statistics, indicate and justify the failure of some local conventional concepts and actual irrelevance of national systems of open metadata database, which in fact are the source of confusion for both ordinary researchers and corporations.

KW - Data methodology

KW - Digital forecasting models

KW - Muslim communities

KW - Northern Europe

KW - Number theory

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U2 - 10.1007/978-3-030-47415-7_102

DO - 10.1007/978-3-030-47415-7_102

M3 - Chapter

AN - SCOPUS:85085468018

T3 - Lecture Notes in Networks and Systems

SP - 951

EP - 959

BT - Integrating Engineering Education and Humanities for Global Intercultural Perspectives

PB - Springer Nature

T2 - Integrating Engineering Education and Humanities for Global Intercultural Perspectives

Y2 - 25 March 2020 through 27 March 2020

ER -

ID: 53873254