scholarly journals On the Use of Gradient Boosting Methods to Improve the Estimation with Data Obtained with Self-Selection Procedures

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 2991
Author(s):  
Luis Castro-Martín ◽  
María del Mar Rueda ◽  
Ramón Ferri-García ◽  
César Hernando-Tamayo
Keyword(s):  
Social Effects ◽  
Gradient Boosting ◽  
Statistical Techniques ◽  
Prediction Methods ◽  
Web Surveys ◽  
Selection Procedures ◽  
Self Selection ◽  
The Social ◽  
Survey Sample ◽  
Integrate Data

In the last years, web surveys have established themselves as one of the main methods in empirical research. However, the effect of coverage and selection bias in such surveys has undercut their utility for statistical inference in finite populations. To compensate for these biases, researchers have employed a variety of statistical techniques to adjust nonprobability samples so that they more closely match the population. In this study, we test the potential of the XGBoost algorithm in the most important methods for estimation that integrate data from a probability survey and a nonprobability survey. At the same time, a comparison is made of the effectiveness of these methods for the elimination of biases. The results show that the four proposed estimators based on gradient boosting frameworks can improve survey representativity with respect to other classic prediction methods. The proposed methodology is also used to analyze a real nonprobability survey sample on the social effects of COVID-19.

Wealth and preferences for redistribution: The effects of financial assets and home equity in 31 countries

2021 ◽  
pp. 002071522098808
Author(s):  
Liza G Steele
Keyword(s):  
Household Wealth ◽  
Welfare States ◽  
Social Effects ◽  
Financial Assets ◽  
Unemployment Benefits ◽  
Home Equity ◽  
Income Equality ◽  
Financial Wealth ◽  
Preferences For Redistribution ◽  
The Social

How does wealth affect preferences for redistribution? In general, social scientists have largely neglected to study the social effects of wealth. This neglect was partially due to a dearth of data on household wealth and social outcomes, and also to greater scholarly interest in how wealth has been accumulated rather than the social effects of wealth. While we would expect household wealth to be an important component of attitudes toward inequality and social welfare policies, research in this area is scarce. In this study, the relationship between wealth and preferences for redistribution is examined in cross-national global and comparative perspective using data on 31 countries from the 2009 wave of the International Social Survey Programme (ISSP), the first wave of that study to include measures of wealth. The findings presented compare the effects of two types of wealth—financial assets and home equity—and demonstrate that there are differences in effects by asset type and by redistributive policy in question. Financial wealth is more closely associated with attitudes about income equality, while home equity is more closely associated with attitudes about unemployment benefits. Moreover, while the upper categories of financial wealth have the largest negative effects on support for income equality, it is the middle categories of home equity that are most strongly associated with opposition to unemployment benefits. Effects also differ by country, but not in patterns that theories of comparative welfare states nor political economy would adequately explain.

scholarly journals Environmental Politics in the Himalayas: A Retrospective Overview of People’s Resistance to Protect their Rights Over Natural Resources

2019 ◽  
Vol 8 (1) ◽  
pp. 77-81
Author(s):  
Narayan Jena ◽  
Swagatika Parida
Keyword(s):  
Natural Resources ◽  
Structural Changes ◽  
Environmental Politics ◽  
Ecological Impact ◽  
Social Effects ◽  
Local People ◽  
Government Agencies ◽  
Colonial Time ◽  
The Social ◽  
Primary Materials

This paper attempts to examine the fundamental reasons behind the constant battle of the local people of Uttarakhand over the Himalayan resources since the colonial time. It analyses both the social effects of the deliberate shifting of ownership of natural resources from the local people to government agencies and the ecological impact of dramatic conversion of natural forest into protected areas or reserve forests. Secondly, it questions the validity of such structural changes made by the governments to limit or restrict the local people’s access to the resources of the region. Here, the primary materials for this paper have been derived from the responses of the local people on the government’s shifting and developmental paradigm to substantiate the argument.

scholarly journals Unlocking the Black Box of AI Listening Machines: Assemblages for Art, Technology and Innovation

Artnodes ◽  
2020 ◽  
Author(s):  
Sharath Chandra Ramakrishnan
Keyword(s):  
Social Relations ◽  
Computational Models ◽  
Scientific Research ◽  
Black Box ◽  
Social Effects ◽  
Technical Expertise ◽  
Technology And Innovation ◽  
The Social ◽  
Artistic Interventions ◽  
Creative Interventions

The black box of innovation in the realm of connected AI technologies renders not only their technicalities opaque but also, and more importantly, the social effects and relations that constitute their creation and mediation. This presents an opportunity for creative interventions by artists and researchers, to unveil the networked relations that are part of AI technologies, and speculate on their ontological effects. This article presents such an unpacking around an AI listening machine present today in ubiquitous devices like voice assistants and smart speakers, and incorporates computational models of machine audition. By tracing the scientific research, technical expertise, and social relations that led to our cultural adoption of AI listening machines, the article presents a socio-technical assemblage within which these machines operate. At the same time, the article reveals various contexts for artists as well as innovation researchers to engage with the socio-technical complexity of AI listening machines, by sharing some instances of creative and artistic interventions that have attempted to unveil the nature of their assemblages.

scholarly journals The Social Effects of Exergames on Older Adults: A Systematic Review and Metric Analysis

2020 ◽  
Author(s):  
Jinhui Li ◽  
Kanokkorn Witedwittayanusat ◽  
Luxi Chen ◽  
Yuanyuan Cao ◽  
Shan Qi Lee ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Social Effects ◽  
Metric Analysis ◽  
The Social

scholarly journals A novel similarity measure for missing link prediction in social networks

2020 ◽  
Vol 19 (2) ◽  
pp. 1071
Author(s):  
Gogulamudi Naga Chandrika ◽  
E. Srinivasa Reddy
Keyword(s):  
Social Networks ◽  
Complex Networks ◽  
Similarity Measure ◽  
Network Theory ◽  
Link Prediction ◽  
Prediction Methods ◽  
Missing Link ◽  
The Social ◽  
Hidden Patterns ◽  
Over Time

<p><span>Social Networks progress over time by the addition of new nodes and links, form associations with one community to the other community. Over a few decades, the fast expansion of Social Networks has attracted many researchers to pay more attention towards complex networks, the collection of social data, understand the social behaviors of complex networks and predict future conflicts. Thus, Link prediction is imperative to do research with social networks and network theory. The objective of this research is to find the hidden patterns and uncovered missing links over complex networks. Here, we developed a new similarity measure to predict missing links over social networks. The new method is computed on common neighbors with node-to-node distance to get better accuracy of missing link prediction. </span><span>We tested the proposed measure on a variety of real-world linked datasets which are formed from various linked social networks. The proposed approach performance is compared with contemporary link prediction methods. Our measure makes very effective and intuitive in predicting disappeared links in linked social networks.</span></p>

The life cycle of alternative agricultural research

1995 ◽  
Vol 10 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Molly D. Anderson
Keyword(s):  
Social Sciences ◽  
Food Production ◽  
Food System ◽  
Agricultural Research ◽  
Social Effects ◽  
Agricultural Systems ◽  
Agricultural Technologies ◽  
Research Attention ◽  
Human Needs ◽  
The Social

AbstractThe acceptance and utility of alternative agricultural research can be enhanced by better incorporating social sciences and issues and by broadening its scope to the entire food system rather than focusing only on food production. Researchers have made strong contributions in developing and evaluating alternative agricultural technologies, but research attention also is needed to articulate strategies for synthesizing those technologies into coherent strategies, to examine the social effects of different scenarios, and to create better decisionmaking processes for ensuring broad-based knowledgeable participation in the choices among alternative strategies. Research that addresses human needs beyond food and fiber will help build truly alternative and desirable agricultural systems.

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