scholarly journals The Multi-method Comprehensive Review: Synthesis and Analysis when Scholarship is International, Interdisciplinary, and Immense

2021 ◽  
Author(s):  
Allison Schnable ◽  
Anthony J. DeMattee ◽  
Rachel Sullivan Robinson ◽  
Jennifer N. Brass ◽  
Wesley Longhofer
Keyword(s):  
Big Data ◽  
International Development ◽  
Comprehensive Review ◽  
Main Drawback ◽  
New Strategy ◽  
Over Time

AbstractThis article presents a new strategy for reviewing large, multidisciplinary academic literatures: a multi-method comprehensive review (MCR). We present this approach and demonstrate its use by the NGO Knowledge Collective, which aims to aggregate knowledge on NGOs in international development. We explain the process by which scholars can identify, analyze, and synthesize a population of hundreds or thousands of articles. MCRs facilitate cross-disciplinary synthesis, systematically identify gaps in a literature, and can create data for further scholarly use. The main drawback is the significant resources needed to manage the volume of text to review, although such obstacles may be mitigated through advances in “big data” methodologies over time.

The AKP’s Foreign Policy

2015 ◽  
Vol 32 (4) ◽  
pp. 21-46
Author(s):  
Kubilay Arin
Keyword(s):  
Foreign Policy ◽  
Soft Power ◽  
The West ◽  
Islamic Revival ◽  
Western State ◽  
New Strategy ◽  
Over Time

When Turkey’s Justice and Development Part (AKP) came to power in 2002, it brought a new strategy to foreign policy. Some scholars ascribed this reorientation to the rise of neo-Ottomanism, others to Islamization, and yet others to a Middle Easternization of foreign policy. All labels have one element in common: They give weight to Islam and Turkey’s imperial past as soft power assetsin the conduct of foreign policy by rejecting secular Kemalism in the country’s diplomacy. The AKP capitalized on Turgut Özal’s neo-Ottomanist foreign policy and Necmettin Erbakan’s multi-dimensional foreign policy by using Turkey’s pivotal geopolitical location to transform it into a global actor. The ongoing Islamic revival has caused the country’s attempted full westernization to slow down. But the West itself is hardly a monolithic bloc, given its own many internal cultural, linguistic,religious, political, and economic differences. I therefore describe Turkey as a “hybrid,” a modern and developing “semi-western” state, and argue that over time it will become ever more “socially conservative.”

Text Analysis on Punishment Clauses in Korean Law: Changes in the Number, Level, and Balance of Punishment Clauses Over 30 Years

2019 ◽  
Vol 10 (3) ◽  
Author(s):  
Jaeyoon Kim
Keyword(s):  
Text Analysis ◽  
Civil Engineering ◽  
Sex Offenses ◽  
Web Crawler ◽  
Comprehensive Review ◽  
Low Level ◽  
Legal Code ◽  
Changes Over Time ◽  
Over Time

Abstract For this study, I completed a comprehensive review of punishment clauses in the Korean Legal Code from 1985 to 2016. Using a web crawler and text analysis, I gathered data on the laws and then identified the content of the penal sentence in each clause. By investigating the data, I was able to quantify and assess changes over time in: (1) the number of punishment clauses; (2) the severity of sentences; and (3) the balance between imprisonment and fines. In order to examine the causes of these changes, I separated the data into different sentence levels and sectors. I found that low-level punishment clauses had grown quickly, and some of the sectors responsible for the change included civil engineering and sex offenses. This comprehensive review of the penal sentences revealed issues of concern related to overcriminalization, overpenalization, and an imbalance of punishment level in the Korean Legal Code.

ExpanDrogram: Dynamic Visualization of Big Data Segmentation over Time

2021 ◽  
Vol 13 (2) ◽  
pp. 1-27
Author(s):  
A. Khalemsky ◽  
R. Gelbard
Keyword(s):  
Big Data ◽  
Visual Presentation ◽  
Trend Detection ◽  
Dynamic Visualization ◽  
Segmentation Process ◽  
Key Points ◽  
Wide Range ◽  
History Of ◽  
The Individual ◽  
Over Time

In dynamic and big data environments the visualization of a segmentation process over time often does not enable the user to simultaneously track entire pieces. The key points are sometimes incomparable, and the user is limited to a static visual presentation of a certain point. The proposed visualization concept, called ExpanDrogram, is designed to support dynamic classifiers that run in a big data environment subject to changes in data characteristics. It offers a wide range of features that seek to maximize the customization of a segmentation problem. The main goal of the ExpanDrogram visualization is to improve comprehensiveness by combining both the individual and segment levels, illustrating the dynamics of the segmentation process over time, providing “version control” that enables the user to observe the history of changes, and more. The method is illustrated using different datasets, with which we demonstrate multiple segmentation parameters, as well as multiple display layers, to highlight points such as new trend detection, outlier detection, tracking changes in original segments, and zoom in/out for more/less detail. The datasets vary in size from a small one to one of more than 12 million records.

Astronomical big data processing using machine learning: A comprehensive review

2022 ◽  
Author(s):  
Snigdha Sen ◽  
Sonali Agarwal ◽  
Pavan Chakraborty ◽  
Krishna Pratap Singh
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Processing ◽  
Big Data Processing ◽  
Comprehensive Review

A Fitting Approach to Construct and Measurement Alignment

2017 ◽  
Vol 21 (3) ◽  
pp. 592-632 ◽  
Author(s):  
Margaret M. Luciano ◽  
John E. Mathieu ◽  
Semin Park ◽  
Scott I. Tannenbaum
Keyword(s):  
Big Data ◽  
Data Streams ◽  
Iterative Process ◽  
Emerging Technologies ◽  
Measurement Techniques ◽  
Great Promise ◽  
Big Data Technologies ◽  
Nearly Continuous ◽  
Dynamic Phenomena ◽  
Over Time

Many phenomena of interest to management and psychology scholars are dynamic and change over time. One of the primary impediments to the examination of dynamic phenomena has been challenges associated with collecting data at a sufficient frequency and duration to accurately model such changes. Emerging technologies that produce nearly continuous streams of big data offer great promise to address those challenges; however, they introduce new methodological challenges and construct validity concerns. We seek to integrate the emerging big data technologies into the existing repertoire of measurement techniques and advance an iterative process to enhance their measurement fit. First, we provide an overview of dynamic constructs and temporal frameworks, highlighting their measurement implications. Second, we discuss different data streams and feature emerging technologies that leverage big data as a means to index dynamic constructs. Third, we integrate the previous sections and advance an iterative approach to achieving measurement fit, highlighting factors that make some measurement choices more suitable and viable than others. In so doing, we hope to accelerate the advancement of dynamic theories and methods.

scholarly journals Men who have sex with men in China have relatively low numbers of sexual partners

2011 ◽  
Vol 3 (1) ◽  
pp. 10 ◽  
Author(s):  
Lei Zhang ◽  
Eric Pui Fung Chow ◽  
David P. Wilson
Keyword(s):  
Median Number ◽  
Sexual Partners ◽  
Hiv Prevalence ◽  
Comprehensive Review ◽  
The Past ◽  
Male Sexual Partners ◽  
Sex With Men ◽  
Over Time

HIV prevalence is increasing rapidly among men who have sex with men (MSM) in China and potentially associated with the number of male sexual partners that each man has on average. This study estimates the distribution of the number of male sexual partners among Chinese MSM through a comprehensive review of English and Chinese published literature. The overall median number of male sexual partners of Chinese MSM in the past 6 months China was estimated to be 1.5 (95% CI, 1.1-1.9) and 3.8 (95% CI 1.5-6.9) sexual partners in the past 6-month and 12-month periods respectively. An estimated 31% of sexual partners of MSM in China are regular partners, 54% are casual partners, and 16% are commercial partners. The reported numbers of sexual partners has not changed over time during the past decade. The numbers of male sexual partners reported by Chinese MSM is consistently lower than other settings and may not be sufficient to explain the recent rapid increase in HIV prevalence.

scholarly journals Practical approaches to big data privacy over time

2018 ◽  
Vol 8 (1) ◽  
pp. 29-51 ◽  
Author(s):  
Micah Altman ◽  
Alexandra Wood ◽  
David R O’Brien ◽  
Urs Gasser
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Big Data Privacy ◽  
Over Time

scholarly journals Harnessing microbial science to accelerate the United Nations sustainable development goals

2020 ◽  
Vol 2 (7A) ◽  
Author(s):  
Omololu Fagunwa ◽  
Afolake Atinuke
Keyword(s):  
Climate Change ◽  
United Nations ◽  
International Development ◽  
Environmental Degradation ◽  
Scientific Discipline ◽  
Decent Work ◽  
Peace And Justice ◽  
New Strategy ◽  
Development Goals ◽  
The United Nations

Modernisation has thrown humanity and other forms of life on our planet into ditch of problems. Poverty, climate change, injustice, environmental degradation are few of the shared global problems. The United Nations SDGs are set as blueprint to achieve a better and more sustainable future for all. The SDGs are well structured to address the global challenges we face including poverty, inequalities, hunger, climate change, environmental degradation, peace and justice. The SDGs have been driven mainly by international donors and ‘professional’ international development organisations. The world is left with 10 years to achieve these ambitious goals and targets. Various reviews indicated that little has been achieve on overall, and the SDGs will not be reality if new strategy is not in place to bring inclusion. Microbiology, the scientific discipline of microbes, their effects and practical uses has insightful influence on our day to day living. We present how microbiology and microbiologists could increase the scorecard and accelerate these global goals. Microbiology contribution to peace, justice, gender equality, decent work and economic growth will be also highlighted among others. The pledge of Leave No One Behind will fast track progress and microbiology is better position to make this work.

scholarly journals Research on the International Development Trend of Big Data and Digital Economy and Its Reference to China

2021 ◽  
Vol 233 ◽  
pp. 01171
Author(s):  
ZHANG Tao ◽  
WU Zai-Qun ◽  
ZHENG Xiao-Yu
Keyword(s):  
Big Data ◽  
International Development ◽  
Development Trend ◽  
The United States ◽  
International Perspective ◽  
Digital Economy ◽  
Value Assessment ◽  
The European Union ◽  
Development Mode ◽  
Global Economic Growth

With the wide application and development of big data, digital economy has become the innovation power of global economic growth and has an important impact on the development of global social and economic cooperation. From an international perspective, this paper analyzes the development trend and achievements of the United States, the European Union and important international organizations in the field of digital economy. On this basis, this paper analyzes the current situation and challenges of the development of China's digital economy, and puts forward suggestions and measures to promote the development of China's digital economy in view of the digital gap, value assessment, development mode, talent training.

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