Multiple Facets of Migration Research: Key Questions, Topics, and Avenues yet to Be Explored

Visvizi, Anna; Lytras, Miltiadis D.; Pachocka, Marta

doi:10.3390/su12010225

Cited by 7 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the four other aspects tend to weaken or do not have a direct relationship with meeting the hierarchy of needs of the local communities that still survive in the Metro Tanjung Bunga area. Thus, landscape stewardship is increasingly understood within the framing of complex socio-ecological systems [78].…”

Section: Poverty and Community Marginalizationmentioning

confidence: 99%

Management of Slum-Based Urban Farming and Economic Empowerment of the Community of Makassar City, South Sulawesi, Indonesia

et al. 2020

View full text Add to dashboard Cite

The handling of slums based on urban farming and community empowerment is oriented toward improving the welfare and independence of the community. This study aimed to (1) analyze the influence of business motivation, human resource capacity, community participation, and economic business management on the economic empowerment in the handling of slums; (2) analyze the direct and indirect effects of urban farming, community capacity, and capital support efforts to improve the welfare and independence of the community; and (3) formulate a sustainability model for community-based slum management in the Metro Tanjung Bunga area. The research approach used was a sequential explanatory design, which is a combination of quantitative and qualitative research, and data were obtained through observation, surveys, in-depth interviews, and documentation. The research findings show that business motivation, human resource capacity, community participation, and economic business management have a significant effect on economic empowerment. The direct influence of urban farming increases the welfare of the community by 27.66%, strengthens the capacity of the community to increase welfare by 55.95%, and provides business capital support to improve community welfare by 36.72%. Urban farming, community capacity-building, and business capital support provide a positive effect on improving the welfare and independence of the community in slums. Sustainability in slum settlements includes infrastructure, developing economic potential, and community participation.

show abstract

Section: Poverty and Community Marginalizationmentioning

confidence: 99%

Management of Slum-Based Urban Farming and Economic Empowerment of the Community of Makassar City, South Sulawesi, Indonesia

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Human security pays attention to non-conventional sources of insecurity, including environmental degradation, food insecurity, and institutionalized forms of gender violence [30][31][32]. In a similar line, recent literature includes new information technologies to address migration drivers and to respond to challenges for providing livelihoods to the refugee population [33].…”

Section: Approaches To Migration Researchmentioning

confidence: 99%

Exploring Connections—Environmental Change, Food Security and Violence as Drivers of Migration—A Critical Review of Research

et al. 2020

View full text Add to dashboard Cite

Migration, whether triggered by single events, such as violent conflict, or by long term pressures related to environmental change or food insecurity is altering sustainable development in societies. Although there is a large amount of literature, there is a gap for consolidating frameworks of migration-related to the interaction and correlation between drivers. We review scientific papers and research reports about three categories of drivers: Environmental Change (EC), Food Security (FS), and Violent Conflict (VC). First, we organize the literature to understand the explanations of the three drivers on migration individually, as well as the interactions among each other. Secondly, we analyse the literature produced regarding Colombia, Myanmar, and Tanzania; countries with different combinations of the driving factors for migration. Although we find that many correlations are explained in the literature, migration is mostly driven by structural vulnerabilities and unsustainable development paths in places that have a low resilience capacity to cope with risk. For example, food insecurity, as a product of environmental changes (droughts and floods), is seen as a mediating factor detonating violent conflict and migration in vulnerable populations. The paper contributes to the literature about multi-driven migration, presenting an overview of the way in which different driver combinations trigger migration. This is important for determining the best governance mechanisms and policy responses that tackle forced migration and improve the resilience of vulnerable communities as well as sustainable development.

show abstract

“…The problems of migration and ethnic identification are also addressed by new technologies and artificial intelligence [30]. Gutta et al [31] proposed a hybrid classifier based on sets of Radial Basis Functions (RBF), inductive Decision Trees (DT), and Support Vector Machines (SVM) for the classification of gender and ethnicity.…”

Section: Literature Reviewmentioning

confidence: 99%

Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community

et al. 2020

View full text Add to dashboard Cite

Cultural identity is a complex concept that includes subjective factors such as ideology, family knowledge, customs, language, and acquired skills, among others. Measuring culture involves a significant level of difficulty, since its study and scope differ from the point of view, the time and the place where the studies are carried out. In the Amazon, indigenous communities are in an accelerated process of acculturation that results in a loss of cultural identity that is not easy to quantify. This paper presents a method to measure the cultural distance between individuals or between groups of people using Artificial Intelligence techniques. The distance between individuals is calculated as the distance of the minimum path in the self-organizing map using Dijkstra’s algorithm. The experiments have been carried out to measure the cultural identity of indigenous people in the Waorani Amazon community and compares them with people living in cities who have a modern identity. The results showed that the communities are still distant in terms of identity from the westernised cities around them, although there are already factors where the distances are minimal concerning these cities. In any case, the method makes it possible to quantify the state of acculturation. This quantification can help the authorities to monitor these communities and take political decisions that will enable them to preserve their cultural identity.

show abstract

Multiple Facets of Migration Research: Key Questions, Topics, and Avenues yet to Be Explored

Cited by 7 publications

References 35 publications

Management of Slum-Based Urban Farming and Economic Empowerment of the Community of Makassar City, South Sulawesi, Indonesia

Management of Slum-Based Urban Farming and Economic Empowerment of the Community of Makassar City, South Sulawesi, Indonesia

Exploring Connections—Environmental Change, Food Security and Violence as Drivers of Migration—A Critical Review of Research

Cultural Identity Distance Computation through Artificial Intelligence as an Analysis Tool of the Amazon Indigenous People. A Case Study in the Waorani Community

Contact Info

Product

Resources

About