scholarly journals Judicial Big Data and Big-Data-Based Legal Research in China

2020 ◽  
pp. 1-20
Author(s):  
Weimin ZUO ◽  
Chanyuan WANG
Keyword(s):  
Big Data ◽  
Computer Science ◽  
Research Methods ◽  
New Products ◽  
Current Data ◽  
Small Data ◽  
Legal Research ◽  
The Future ◽  
Statistical Science

Abstract The newly established judicial-transparency platforms, like China Judgements Online, have provided access to a new resource—judicial big data—making it possible to conduct empirical, big-data-based legal research. However, as is often the case with new products, these platforms—China Judgements Online, in particular—pose a few problems for big-data-based legal research: insufficient academic depth; immature technical methods; and lack of innovation due to flawed data, strict technical thresholds, and lack of theoretical ambition and ability. In the future, big-data-based legal research should make use of current data resources, continue to promote statistical science and computer science in research, and apply small-data research methods, and in the meanwhile pay attention to the combination of data and theory.

scholarly journals Study on the comprehensive computational thinking transformation of urban planning discipline in the era of big data

2020 ◽  
Author(s):  
Haixuan Zhu ◽  
◽  
Xiaoyu Jia ◽  
Pengluo Que ◽  
Xiaoyu Hou ◽  
...  
Keyword(s):  
Big Data ◽  
Urban Planning ◽  
Computer Science ◽  
Research Methods ◽  
Data Storage ◽  
Computational Thinking ◽  
Rural Planning ◽  
Human Beings ◽  
New Paradigm ◽  
Thinking Mode

In the era of big data, with the development of computer technology, especially the comprehensive popularization of mobile terminal device and the gradual construction of the Internet of Things, the urban physical environment and social environment have been comprehensively digitized and quantified. Computational thinking mode has gradually become a new thinking mode for human beings to recognize and govern urban complex system. Meanwhile computational urban science has become the main discipline development aspect of modern urban planning. Computational thinking is the thinking of computer science using algorithms based on time complexity and space complexity, which provides a new paradigm for the construction of index system, data collection, data storage, data analysis, pattern recognition, dynamic governance in the process of scientific planning and urban management. Based on this, this paper takes the computational thinking mode of urban planning discipline in big data era as the research object, takes the scientific construction of computational urban planning as the research purpose, and adopts literature research methods and interdisciplinary research methods, comprehensively studies the connotation of the computing thinking mode of computer science. Meanwhile, this paper systematically discusses the system construction of urban computing, model generation, the theory and method of digital twinning, as well as the popularization of the computational thinking mode of urban and rural planning discipline and the scientific research of computational urban planning, which responds to the needs of the era of the development of urban and rural planning disciplines in the era of big data.

scholarly journals SUPPORTING AIR TRANSPORT POLICIES USING BIG DATA ANALYTICS: A DESCRIPTIVE APPROACH BASED EMERGING TREND ANALYSIS

2017 ◽  
Vol 8 (1) ◽  
pp. 51-72
Author(s):  
Jin-seo Park
Keyword(s):  
Qualitative Research ◽  
Big Data ◽  
Text Mining ◽  
Research Methods ◽  
Qualitative Research Methods ◽  
Research Papers ◽  
Emerging Trends ◽  
The Future ◽  
Descriptive Approach ◽  
Core Issues

Qualitative research methods based on literature review or expert judgement have been used to find core issues, analyze emerging trends and discover promising areas for the future. Deriving results from large amounts of information under this approach is both costly and time consuming. Besides, there is a risk that the results may be influenced by the subjective opinion of experts. In order to make up for such weaknesses, the analysis paradigm for choosing future emerging trend is undergoing a shift toward mplementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The hange used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and the promising areas for the future from research papers pertaining to overall aviation areas through text mining method, which is one of the big data analysis techniques. This study has limitations in that its analysis for retrieving the aviation-related core issues and promising fields was restricted to research papers containing the keyword "aviation." However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and emerging trends regarding the promising areas for the future in the aviation industry through the application of a big data-based descriptive approach.

What is Machine Learning? A Primer for the Epidemiologist

2019 ◽  
Author(s):  
Qifang Bi ◽  
Katherine E Goodman ◽  
Joshua Kaminsky ◽  
Justin Lessler
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Computer Science ◽  
Research Methods ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Epidemiologic Research ◽  
Learning Techniques ◽  
Applications Of Machine Learning

Abstract Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on “Big Data,” it offers epidemiologists new tools to tackle problems for which classical methods are not well-suited. In order to critically evaluate the value of integrating machine learning algorithms and existing methods, however, it is essential to address language and technical barriers between the two fields that can make it difficult for epidemiologists to read and assess machine learning studies. Here, we provide an overview of the concepts and terminology used in machine learning literature, which encompasses a diverse set of tools with goals ranging from prediction to classification to clustering. We provide a brief introduction to 5 common machine learning algorithms and 4 ensemble-based approaches. We then summarize epidemiologic applications of machine learning techniques in the published literature. We recommend approaches to incorporate machine learning in epidemiologic research and discuss opportunities and challenges for integrating machine learning and existing epidemiologic research methods.

scholarly journals A functional framework based on big data analytics for smart farming

2021 ◽  
Vol 24 (3) ◽  
pp. 1772
Author(s):  
Loubna Rabhi ◽  
Noureddine Falih ◽  
Lekbir Afraites ◽  
Belaid Bouikhalene
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
New Products ◽  
Big Data Analytics ◽  
Decision Making Process ◽  
Time Production ◽  
Smart Farming ◽  
The Future

Big <span>data in agriculture is defined as massive volumes of data with a wide variety of sources and types which can be captured using internet of things sensors (soil and crops sensors, drones, and meteorological stations), analyzed and used for decision-making. In the era of internet of things (IoT) tools, connected agriculture has appeared. Big data outputs can be exploited by the future connected agriculture in order to reduce cost and time production, improve yield, develop new products, offer optimization and smart decision-making. In this article, we propose a functional framework to model the decision-making process in digital and connected agriculture</span>.

scholarly journals What's Inside the Black Box? AI Challenges for Lawyers and Researchers

2019 ◽  
Vol 19 (01) ◽  
pp. 2-13 ◽  
Author(s):  
Ronald Yu ◽  
Gabriele Spina Alì
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Private Sector ◽  
Research Methods ◽  
Black Box ◽  
Large Datasets ◽  
Legal Research ◽  
Traditional Research ◽  
Research Tools

AbstractThe Artificial intelligence revolution is happening and is going to drastically re-shape legal research in both the private sector and academia. AI research tools present several advantages over traditional research methods. They allow for the analysis and review of large datasets (‘Big Data’) and can identify patterns that are imperceptible to human researchers. However, the wonders of AI legal research are not without perils. Because of their complexity, AI systems can escape the control and understanding of their operators and programmers. Therefore, especially when run by researchers with insufficient IT background, computational AI research may skew analyses or result in flawed research. Premised thus, the main goals of this paper, written by Ronald Yu and Gabriele Spina Alì, are to analyse some of the factors that can jeopardize the reliability of AI-assisted legal research and to review some of the solutions to mitigate this situation.

scholarly journals Penerapan Pendaftaran Hak Tanggungan Terintegrasi Secara Elektronik Di Kantor Pertanahan Kota Pekanbaru

Acta Comitas ◽  
2021 ◽  
Vol 6 (01) ◽  
pp. 198
Author(s):  
Krisnawan Andiyanto ◽  
Dian Aries Mujiburohman ◽  
Haryo Budhiawan
Keyword(s):  
Research Methods ◽  
Pilot Project ◽  
Primary Data ◽  
Data Validation ◽  
Legal Research ◽  
Pilot Projects ◽  
The Future ◽  
System Improvement

This study aims to determine the implementation and obstacles in HT-el registration at the Pekanbaru City Land Office, because the Pekanbaru City Land Office is one of the pilot projects for HT-el services. This study uses empirical legal research methods using primary data in the form of interviews with PPAT, the Bank as creditors and the Land Office. The results showed that the registration of HT-el at the Pekanbaru City Land Office has not entirely gone according to procedure. Problems with account registration, technical registration and data validation are obstacles in registering Mortgage Rights with the HT-el system at the Pekanbaru City Land Office. Several things that must be considered are the need for system improvement to make it smoother, socialization and evaluation to HT-el users, and data validation at the Pekanbaru City Land Office that need to be increased to 100% to support HT-el services and other electronic services in the future.   Penelitian ini bertujuan mengkaji pelaksanaan dan hambatan dalam pendaftaran HT-el di Kantor Pertanahan Kota Pekanbaru, karena Kantor Pertanahan Kota Pekanbaru sebagai salah satu pilot project untuk layanan HT-el. Penelitian ini menggunakan metode penelitian hukum empiris dengan mengunakan data primer dalam bentuk wawancara kepada PPAT, Bank sebagai kreditur dan Kantor Pertanahan. Hasil penelitian menunjukkan bahwa pendaftaran HT-el di Kantor Pertanahan Kota Pekanbaru belum seluruhnya berjalan sesuai prosedur. Permasalahan pendaftaran akun, teknis pendaftaran dan validasi data menjadi hambatan dalam pendaftaran Hak Tanggungan dengan sistem HT-el di Kantor Pertanahan Kota Pekanbaru. beberapa hal yang harus dipertimbangkan adalah perlunya perbaikan sistem agar lebih lancar, sosialisasi dan evaluasi kepada pengguna HT-el, dan validasi data di Kantor Pertanahan Kota Pekanbaru perlu ditingkatkan menuju 100 % untuk menunjang pelayanan HT-el dan pelayanan elektronik lainnya dikemudian hari.

scholarly journals COURT VERDICT ANOMALY THAT DROPPED PUNISHMENT AGAINST CHILDREN UNDER 12 (TWELVE) YEARS OLD

2015 ◽  
Vol 15 (3) ◽  
Author(s):  
Sabungan Sibarani
Keyword(s):  
Research Methods ◽  
Child Protection ◽  
Criminal Code ◽  
Research Data ◽  
Court Decision ◽  
District Court ◽  
Constitutional Court ◽  
Legal Research ◽  
Legal Effect ◽  
The Future

The protection of children is a very serious problem and need to be considered better. That is because the child has a very important role in life of the nation in the future. Author emphasizes research how the legal effect of a District Court decision which is contrary to the Constitutional Court No. 1/PUU-VIII/2010. The author examines the problem with normative legal research methods. The research data shows that the victims are Doni Yoga (DY) who was aged 11 years old. Doni Yoga charged with the crime of theft under Article 363 paragraph (1) of the Criminal Code of the theft. The author concluded that the decisions of the cases by Pematangsiantar District Court  has been at odds with the law and the Constitutional Court Decision No. 1 / PUU / 8/2010. However, the decision is still to be considered true and valid throughout not be appealed or an appeal that was canceled by court decision on a higher level.Keywords: Child Protection, Punishment.

scholarly journals Kebijakan Hukum Pidana bagi Tindak Pidana Cyber Terrorism dalam Rangka Pembentukan Hukum Positif di Indonesia

2020 ◽  
Vol 1 (2) ◽  
pp. 21-27
Author(s):  
Zephirinus Jondong
Keyword(s):  
Research Methods ◽  
Criminal Law ◽  
Computer Technology ◽  
Negative Impact ◽  
Positive Impact ◽  
Criminal Code ◽  
Legal Research ◽  
Cyber Terrorism ◽  
Positive Law ◽  
The Future

The advancement of internet-based computer technology has not only a positive impact on its users but also a negative impact, one of which is the creation of new forms of crime such as terrorism. Based on this background, this research was conducted with the aim of revealing how the regulation of criminal acts of terrorism committed through cyberspace (cyber terrorism) in positive law in Indonesia and how criminal law policies in Indonesia in the future in regulating criminal acts of terrorism committed through cyberspace (cyber terrorism). This research was designed using normative legal research methods. The results of this study reveal that in Indonesia, the criminal act of cyber terrorism is not regulated in the Criminal Code (KUHP) or the Laws and Regulations that regulate the field of terrorism. In a situation like this, the perpetrator of the crime of cyber terrorism can be declared free from punishment because there is no element against the law regulated in the Act attached to the act. Therefore, in order to be convicted of a crime, the crime of cyber terrorism must be formulated clearly. In addition, in establishing a criminal law policy regarding cyber terrorism, cyber terrorism must be considered so that it can be made a criminal act and sanctions can be imposed on the perpetrator

Artistic Challenges within Control Societies: Big Data and Democratic Resistance

MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 50-61 ◽  
Author(s):  
Jan Jagodzinski
Keyword(s):  
Big Data ◽  
Gilles Deleuze ◽  
Data Archive ◽  
Current State ◽  
The Future ◽  
The Way

This paper will first briefly map out the shift from disciplinary to control societies (what I call designer capitalism, the idea of control comes from Gilles Deleuze) in relation to surveillance and mediation of life through screen cultures. The paper then shifts to the issues of digitalization in relation to big data that have the danger of continuing to close off life as zoë, that is life that is creative rather than captured via attention technologies through marketing techniques and surveillance. The last part of this paper then develops the way artists are able to resist the big data archive by turning the data in on itself to offer viewers and participants a glimpse of the current state of manipulating desire and maintaining copy right in order to keep the future closed rather than being potentially open.

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