scholarly journals On Data and Care in Migration Contexts

2021 ◽  
pp. 221-234
Author(s):  
Koen Leurs
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Recent Trend ◽  
Migration Studies ◽  
To Come ◽  
Care Technology

AbstractThe commentary provides the reader with several genealogies of data and care, key themes that underpin the theorisation, as well as the methodological and ethical operationalisation of a more caring digital migration studies described in this book. By doing that, it shows how pursuing careful data engagement allows understanding and reflection on the “ambivalence and shifting tensions” inherent in care-technology relations. The genealogies discussed show how neither migration nor data nor care are singular totalities but co-exist with limits and paradoxes. This is furthermore important when a caring perspective on data in migration studies is more and more relevant. This relevance is seen as a response to the recent trend of seeing migration as a laboratory where experiments with big data can be conducted and the overarching data ideology that depicts migrations as something that can be controlled through more or better data without having to come to terms with underpinning large-scale historical, socio-cultural, geo-political and economic concerns.

scholarly journals Caring for (Big) Data: An Introduction to Research Methodologies and Ethical Challenges in Digital Migration Studies

2021 ◽  
pp. 1-21
Author(s):  
Marie Sandberg ◽  
Luca Rossi
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Social Activity ◽  
Data Access ◽  
Digital Data ◽  
Data Sets ◽  
Ethical Challenges ◽  
Migration Studies ◽  
Critical Approach ◽  
Migration Research

AbstractDigital technologies present new methodological and ethical challenges for migration studies: from ensuring data access in ethically viable ways to privacy protection, ensuring autonomy, and security of research participants. This Introductory chapter argues that the growing field of digital migration research requires new modes of caring for (big) data. Besides from methodological and ethical reflexivity such care work implies the establishing of analytically sustainable and viable environments for the respective data sets—from large-scale data sets (“big data”) to ethnographic materials. Further, it is argued that approaching migrants’ digital data “with care” means pursuing a critical approach to the use of big data in migration research where the data is not an unquestionable proxy for social activity but rather a complex construct of which the underlying social practices (and vulnerabilities) need to be fully understood. Finally, it is presented how the contributions of this book offer an in-depth analysis of the most crucial methodological and ethical challenges in digital migration studies and reflect on ways to move this field forward.

A NOVEL ANALYTIC APPROACH FOR LARGE SCALE POWER PLANT WIDE PROCESSES WITH BIG DATA

2020 ◽  
Vol 9 (6) ◽  
pp. 3509-3517
Author(s):  
K. Malakonda Rayudu ◽  
A. Kumar
Keyword(s):  
Big Data ◽  
Power Plant ◽  
Large Scale ◽  
Analytic Approach

Multi Disease-Prediction Framework Using Hybrid Deep Learning: An Optimal Prediction Model (Preprint)

2020 ◽  
Author(s):  
Anusha Ampavathi ◽  
Vijaya Saradhi T
Keyword(s):  
Feature Extraction ◽  
Big Data ◽  
Deep Learning ◽  
Weight Function ◽  
Optimization Algorithm ◽  
Large Scale ◽  
Heuristic Algorithms ◽  
Disease Prediction ◽  
Health Care Decisions ◽  
Proposed Model

UNSTRUCTURED Big data and its approaches are generally helpful for healthcare and biomedical sectors for predicting the disease. For trivial symptoms, the difficulty is to meet the doctors at any time in the hospital. Thus, big data provides essential data regarding the diseases on the basis of the patient’s symptoms. For several medical organizations, disease prediction is important for making the best feasible health care decisions. Conversely, the conventional medical care model offers input as structured that requires more accurate and consistent prediction. This paper is planned to develop the multi-disease prediction using the improvised deep learning concept. Here, the different datasets pertain to “Diabetes, Hepatitis, lung cancer, liver tumor, heart disease, Parkinson’s disease, and Alzheimer’s disease”, from the benchmark UCI repository is gathered for conducting the experiment. The proposed model involves three phases (a) Data normalization (b) Weighted normalized feature extraction, and (c) prediction. Initially, the dataset is normalized in order to make the attribute's range at a certain level. Further, weighted feature extraction is performed, in which a weight function is multiplied with each attribute value for making large scale deviation. Here, the weight function is optimized using the combination of two meta-heuristic algorithms termed as Jaya Algorithm-based Multi-Verse Optimization algorithm (JA-MVO). The optimally extracted features are subjected to the hybrid deep learning algorithms like “Deep Belief Network (DBN) and Recurrent Neural Network (RNN)”. As a modification to hybrid deep learning architecture, the weight of both DBN and RNN is optimized using the same hybrid optimization algorithm. Further, the comparative evaluation of the proposed prediction over the existing models certifies its effectiveness through various performance measures.

THE FOREST FOR THE TREES: SOCIETY AND THE HOUSEHOLD IN EARLY MODERN EUROPE

1998 ◽  
Vol 41 (4) ◽  
pp. 1161-1172 ◽  
Author(s):  
JOEL F. HARRINGTON
Keyword(s):  
Large Scale ◽  
University Of Pennsylvania ◽  
Italian Renaissance ◽  
German History ◽  
Early Modern Europe ◽  
Cambridge University ◽  
Johns Hopkins University ◽  
Big Picture ◽  
To Come ◽  
The Ideal

Gender relations in German history: power, agency, and experience from the sixteenth to the twentieth century. Edited by Lynn Abrams and Elizabeth Harvey. London: UCL, 1996. Pp. x+262. ISBN 1-85728-485-2. £12.95.Adultery and divorce in Calvin's Geneva. By Robert M. Kingdon. Cambridge, Mass., and London: Harvard UP, 1995. Pp. ix+214. ISBN 0-674-00520-1 (hb). £18.50.Housecraft and statecraft: domestic service in Renaissance Venice, 1400–1600. By Dennis Romano. Baltimore: Johns Hopkins University Press, 1996. Pp. xxvi+333. ISBN 0-8018-5288-9. £37.00.The European nobility, 1400–1800. By Jonathan Dewald. New approaches to European history, ix. Cambridge: Cambridge University Press, 1996. Pp. xvii+209. ISBN 0-521-42528-x (pb). £12.95.Garden and grove: the Italian Renaissance garden in the English imagination, 1600–1750. By John Dixon Hunt. Philadelphia: University of Pennsylvania, 1996. Pp. xix+268. ISBN 0-8122-1604-0 (pb). £23.50.Like an ancient woodsman or a guide through the Amazonian jungle, the ideal historian possesses at least two kinds of expertise: enough familiarity with the general terrain to plan successful expeditions and enough experience in the field to make inevitable adjustments to ‘the big picture’ when underway. Of course in the real world (of both geography and history) the tasks of exploration and cartography are often bifurcated, without necessarily disastrous results. The historian who is equally skilled at both close-up description and large-scale theorizing is consequently celebrated as a rare and valued anomaly. Meanwhile, for most of us stumbling scouts, the world beyond our familiar trails remains largely one of learned lore, with connections to our own limited forays often vague at best. Unless, of course, we are fortunate enough to come across something which provides an almost magical link between the narrow and the wide, the micro and the macro.

When the Complexity of the Large-Scale Development Project Becomes a Roadblock to Access to Justice

2021 ◽  
pp. 1-8
Author(s):  
Pillkyu HWANG ◽  
Yae-Ahn PARK
Keyword(s):  
Scale Development ◽  
Large Scale ◽  
Development Project ◽  
State Enterprise ◽  
Access To Justice ◽  
South Korean ◽  
Western Power ◽  
Power Company ◽  
Hydropower Dam ◽  
To Come

On 23 July 2018, when the villagers gathered around the porch to wrap up the day with a good chat, one of the five auxiliary dams of the Xe-Pian Xe-Namnoy hydropower dam in Attapeu province, the southeastern state of Laos, collapsed. Four days before the collapse, reports of cracks and subsidence started to come through. It should have been enough to prompt evacuation warning issuance by the Xe-Pian Xe-Namnoy Power Co. Ltd (PNPC), a consortium of South Korean companies SK Engineering and Construction (SK E&C) and Korea Western Power Company (KOWEPO), Thailand-based RATCH Group, and Lao Holding State Enterprise (LHSE). PNPC has a Concession Agreement with the Laos government ‘to plan, design, finance, construct, own, operate and maintain’ the Xe-Pian Xe-Namnoy hydropower dam. The warning was issued, but it came too late.

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

Sign in / Sign up

Export Citation Format

Share Document