Search Results (116)

The Sustainable Development Goals commit states to Universal Health Coverage (UHC) for all; yet displaced populations—including asylum seekers, refugees, internally displaced persons (IDPs), and undocumented migrants—remain systematically excluded from national health systems across southern and eastern Africa. This paper applies a whole-of-route, rights-based framework to examine how legal status, policy implementation, and structural governance shape healthcare access for displaced populations across South Africa, Kenya, Somalia, and the Democratic Republic of Congo (DRC). Drawing on 70 key informant interviews and policy analysis conducted between 2020 and 2025, the study finds that despite formal commitments to health equity, access remains constrained by restrictive legal regimes, administrative discretion, and fragmented service delivery models. Critical gaps persist in migration-sensitive planning, gender-responsive care, and mental health integration. The findings highlight the limitations of rights-based rhetoric in the absence of legal coherence, intersectoral coordination, and political will. To realise UHC in displacement contexts, health systems must move beyond citizen-centric models and embed migration-aware, inclusive, and sustainable approaches across all stages of displacement. Without such structural reforms, displaced populations will remain at the margins of national health agendas—and the promise of health for all will remain unmet. Full article

The study analyses at the information level the impact of the main economic indicators on migration and access to services in the European Union, using methods specific to intelligent information systems. The research is based on the correlations between gross value added (GVA), gross fixed capital formation (GFCF), greenhouse gas emissions (GHGE), health expenditure (SHA11), and migration rates (MIGR). The applied methodology includes attribute distribution analysis, identification of hidden patterns through clustering algorithms (K-Means and Expectation-Maximisation) and training of classifiers using regression decision trees with linear leaf models (M5P) corresponding to interdependent data processing and integration modules, exploratory analysis module, machine learning and decision-making modules, oriented to support public policies through explainable scenarios and predictive-evaluative structures. The results highlight the superiority of the EM model in detecting relevant clusters and the usefulness of M5P trees in highlighting complex economic influences on population mobility. The study proposes the integration of these methods into an intelligent analysis framework aimed at reducing disparities and optimising socio-economic sustainability. The EM model demonstrated a superior ability to detect subgroups within the dataset, revealing four distinct clusters with specific characteristics. Furthermore, the M5P tree analysis allowed the extraction of significant non-linear relationships between economic variables and the migration phenomenon. The study emphasises the importance of public policies aimed at reducing regional economic disparities and increasing social and economic sustainability. By integrating these results into a well-structured information system, it provides a robust analytical framework that supports policy makers and researchers in designing effective public policies on population mobility and its related economic impact in the EU Member States. Full article

Continuous transformations, which have been observed more and more in recent years, require an increase in the effectiveness of measures in the state regulation of the labour market, which is possible only with a clear understanding and realistic assessment of its condition and existing trends of changes. For this purpose, guided by the data of the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, the country’s labour market was monitored, and the key factors that played a significant role in its formation were identified. Using these factors as a basis, vector autoregression (VAR) models were built to analyse dynamic relationships between economic variables. The choice of stationary variables ensured the adequacy of the model, which was confirmed by diagnostic tests such as the ADF test, Jarque–Bera test, and Ljung–Box test. Impulse response functions (IRFs) were used to assess the effect of shocks on each variable and other system variables. All results were visualised as graphs illustrating the dynamics of the impact over ten times. The modelling results showed that the changes are interrelated: shocks to youth unemployment (YUR) have the most significant impact on the total unemployment (UR) and the unemployed population (U), while outward migration (NM) has a short-run effect mainly on the economically active population (EA). The model confirmed that the labour market is indifferent to changes in youth unemployment, a key indicator for forming an effective employment policy. The study’s practical significance lies in its potential to inform the government, international organisations, and business communities about the state of the labour market and the necessary vectors of social policy. This will ensure economic growth and improve citizens’ quality of life in light of the changing nature of the labour market. Full article

African immigrants in the UK, especially in places such as London, Birmingham, and Manchester, contend with institutional racism, xenophobia, and socio-economic marginalisation. This study analyses how first- and second-generation African diaspora communities understand Jeremiah 29: 4–7 to create resilience and belonging. This study uses desktop research from African diasporic churches and analyses the UK’s Inclusive Britain Strategy (2023) to contend that biblical tales are reinterpreted to confront modern issues, including the Windrush Scandal and racial inequalities in NHS maternal care. The document emphasises the influence of African-led churches in formulating integration plans and promoting policy reforms in the UK. The findings indicate that African diaspora churches reinterpret Jeremiah 29: 4–5 to promote resilience and structural involvement in combating systemic racism and socio-economic disadvantage in the UK. The paper concludes by reinterpreting biblical tales to connect spiritual resilience with systemic activism, promoting hybrid identities, and integrating legislative reforms with community-driven initiatives for equity. The paper recommends the decolonisation of curricula, the enhancement of culturally competent healthcare training, the expansion of church–state collaborations, and the modification of legislation such as the Hostile Environment to foster inclusiveness. This study enhances academic discourse by merging diaspora theology with policy analysis, presenting an innovative framework for the theological examination of migration and elevating African agency within UK socio-political environments through decolonial hermeneutics and hybrid identity paradigms. Full article

This paper analyses temporary migration programs (TMPs) as a manifestation of the “State thought” ideology, drawing on Abdelmalek Sayad’s sociological framework. Sayad considers the State central to the migration system, shaping perceptions and practices around migration through its ideological and structural dominance. The paper first explores how the State constructs hegemonic ideologies around migration, emphasising the dichotomy between nationals and non-nationals. TMPs epitomise these ideologies by promoting utilitarian migration systems that maximise economic benefits while minimising social integration. TMPs, such as agricultural guest worker schemes, enforce strict temporality, denying migrants permanence and full participation in host societies. Migrants are treated as disposable labour, restricted by non-transferable permits, and confined to precarious living conditions. The paper highlights the tension between the economic reliance on migrant labour and the State’s exclusionary policies, revealing TMPs as tools for controlling and exploiting migrants while maintaining national homogeneity. Ultimately, TMPs embody the pinnacle of “State thought”, balancing economic utility and sovereignty by perpetuating provisionality, exclusion, and systemic exploitation. The paper concludes by acknowledging migrants’ agency as they navigate and resist the structural constraints of TMPs to pursue personal and collective goals, challenging these programmes’ colonial and utilitarian underpinnings. Full article

Nowadays, more enterprises are rapidly transitioning to cloud computing as it has become an ideal platform to perform the development and deployment of software systems. Because of its growing popularity, around ninety percent of enterprise applications rely on cloud computing solutions. The inherent dynamic and uncertain nature of cloud computing makes it difficult to accurately measure the exact state of a system at any given point in time. Potential challenges arise with respect to task scheduling, load balancing, resource allocation, governance, compliance, migration, data loss, and lack of resources. Among all challenges, task scheduling is one of the main problems as it reduces system performance due to improper utilization of resources. State Action Reward Action (SARSA) learning, a policy variant of Q learning, which learns the value function based on the current policy action, has been utilized in task scheduling. But it lacks the ability to provide better heuristics for state and action pairs, resulting in biased solutions in a highly dynamic and uncertain computing environment like cloud. In this paper, the SARSA learning ability is enriched by the guidance of the Large Language Model (LLM), which uses LLM heuristics to formulate the optimal Q function. This integration of the LLM and SARSA for task scheduling provides better sampling efficiency and also reduces the bias in task allocation. The heuristic value generated by the LLM is capable of mitigating the performance bias and also ensuring the model is not susceptible to hallucination. This paper provides the mathematical modeling of the proposed LLM_SARSA for performance in terms of the rate of convergence, reward shaping, heuristic values, under-/overestimation on non-optimal actions, sampling efficiency, and unbiased performance. The implementation of the LLM_SARSA is carried out using the CloudSim express open-source simulator by considering the Google cloud dataset composed of eight different types of clusters. The performance is compared with recent techniques like reinforcement learning, optimization strategy, and metaheuristic strategy. The LLM_SARSA outperforms the existing works with respect to the makespan time, degree of imbalance, cost, and resource utilization. The experimental results validate the inference of mathematical modeling in terms of the convergence rate and better estimation of the heuristic value to optimize the value function of the SARSA learning algorithm. Full article

The current global mobility paradigm suffers from a great paradox. The illegality of human mobility is manufactured through restrictive migration and asylum policies, which claim to address the supposed challenges of human mobility, such as erosion of border security, burden on the labour market, and social disharmony. On the contrary, they reinforce them, resulting in strengthened anti-migrant sentiments at the domestic level. The contradiction is that the more restrictive migration policies are and the more they are directed at containment of human mobility, the more counterproductive they become. The fact that the policies of the destination states are shaped through the votes of their citizens, and migrants are never part of the conversation which would bring the reality check of their lived lives, is a defining factor that enables state policies preventing and deterring access to territory and containing asylum seekers elsewhere. We demonstrate that this is the dynamic behind the new EU Pact on Migration and Asylum, as it thickens the European borders even further through harsher border procedures and expanded externalisation of migration control. Whereas the Global Compacts represent the paradigm of facilitated mobility and are a significant step in the right direction for moving beyond the defined paradox, the EU Pact represents the containment paradigm and showcases that the tension between the commitments and the actions of states is far from being resolved. Through an assessment of the EU Pact on Migration and Asylum’s alignment with the Global Compacts, this article scrutinizes the trajectory of the global mobility paradigm since the adoption of the Global Compacts. Full article

Heritage is the commonwealth of all humankind. In the context of the rise in global tourism and the continuous deepening of cultural and tourism integration, tourism has emerged as an effective vehicle for the preservation and development of heritage sites. However, it also imposes adverse effects on the local ecological environment and heritage sites, exerting significant pressure on regional sustainable development. In this study, three cities along Jianmen Shu Road were selected as the study area. A comprehensive evaluation index system was developed for tourism ecological security (TES) based on the Driver–Pressure–State–Impact–Response model, and an in-depth analysis of its spatial–temporal evolution characteristics, spatial–temporal migration trends, and influencing factors was performed. The results show that (1) from 2012 to 2022, the average TES in the study area decreased annually, while it increased in Jiange County, Anzhou District, and Santai County. The TES indices were generally higher in areas with a high density of heritage sites or developed economies. Additionally, the districts and counties along the Jianmen Shu Road route never exhibited a deteriorated state. (2) From 2012 to 2022, TES in the study area exhibited an obvious “northeast–southwest” directional pattern, and its center of gravity followed a “V”-shaped trajectory. Overall, the spatial patterns showed minimal variation and exhibited agglomeration characteristics. (3) From 2012 to 2022, the main factors influencing TES included the density of Jianmen Shu Road heritage sites (S6), the number of 3A and above scenic areas (S5), the proportion of cultural tourism and sports in total expenditure (R3), the Normalized Difference Vegetation Index (NDVI) (S4), and other tourism and environmental factors. Moreover, TES systems are becoming increasingly complex and diverse. Finally, based on the results, a comprehensive conceptual framework of the driving mechanism was developed. Additionally, four targeted and scientifically grounded policy recommendations were formulated for restoring, protecting, and managing the TES in the Jianmen Shu Road Heritage Area. This study provides significant reference value for ecological environment preservation and the high-quality development of cultural tourism integration in heritage areas. Full article

This article introduces systemism as a method of evaluating the expanding research agenda on the politics of migration. Systemism is a graphic method for presenting academic research concisely. It provides three methods of advancing the research agenda: elaboration, systematic synthesis, and bricolagic bridging. I employ two of these methods to follow the evolution of research on states’ migration policies from the 1990s to the 2020s, providing a critique of the research and suggesting methods for advancing our knowledge of this politically important policy issue. The article provides a short overview of systemism, and then illustrates its application through the presentation of two articles in graphic form: “No Vacancy. The Political Geography of Immigration Control in Advanced, Market Economy Countries” by Jeannette Money, and “The Migration State in the Global South: Nationalizing, Developmental, and Neoliberal Models of Migration Management”, authored by Fiona Adamson and Gerasimos Tsourapas. Elaboration is employed to expand the systemist presentation of “No Vacancy”, to communicate causal mechanisms more thoroughly. The next section employs systematic synthesis to bring together the two articles and to engage the research agenda on the politics of migration policy. The past 30 years have witnessed an expansion of the definition of migration management strategies captured by the four-fold typology proposed by Adamson and Tsourapas. However, continuing to pay attention to the domestic politics of migration management would help to illuminate variation among states within each category. Both articles acknowledge structural factors that constrain or provide opportunities for states’ migration policy choices, but neither develops a clear picture of the systemic factors that shape international mobility and the policy choices of states in the international system. The conclusions point to a continuing expansion of the research agenda along these three dimensions. Full article

This paper uses the example of negatively racialised refugees from the African continent to reiterate the racialised nature of migrant and refugee experiences in Australia. This is a context that remains deeply influenced by a violent history of British colonisation and racist migration laws, including the restrictive White Australia Policy (1901–1973). Drawing on the authors’ research and personal experiences of working with, and navigating, the Australian resettlement system this article examines the racialised violences inherent in expectations of ‘integration’ for (former) African refugees in a settler colonial country. This paper proffers a principle level re-imagining of refugee resettlement in Australia that challenges patriarchal white sovereignty. It proposes a meaningful consideration of resettlement practices that are community-led, localised, relational and that recognise the agency of refugees who settle in Australia. This paper disrupts dominant tropes of refugees as perpetually vulnerable and deficit, by centering the agency, needs and expectations of a good life as it is lived in community, rather than dictated by the state. Full article

Background: Migrant construction workers involved in building infrastructure for mega-sporting events face elevated risks of illness and death. However, specific health outcomes for these workers have not been systematically reviewed, limiting opportunities to identify and address their challenges. Methods: This study systematically reviewed health outcomes among migrant construction workers involved in mega-sporting events. Results: 89 eligible studies involving 23,307 workers were identified. Of these, only 11 directly addressed specific health outcomes, including heat stress, occupational fatalities, and sexually transmitted infections. Notably, increased heat exposure during peak construction phases and the proximity of deadlines for mega-sporting events were correlated with elevated rates of occupational fatalities. Other key adverse factors impacting migrant construction workers’ health included an observed correlation between the timing of mega-sporting events and increased occupational fatalities, the involvement of labor recruiters, and shifting health and safety responsibilities among stakeholders (e.g., host states, event organizers, contractors, and recruitment agencies). Positive outcomes were observed when workers voluntarily engaged in non-mandatory safety activities, such as safety training programs and awareness meetings. Conclusions: There is a critical need for longitudinal and comparative studies to comprehensively examine the health of migrant workers throughout all stages of their journey, from pre-migration to return. This review underscores the urgency of prioritizing evidence-based policies that address unique health risks in this population, including mitigation of heat stress and enforcement of occupational safety standards, particularly amid construction spikes preceding mega-sporting events. Recommendations: Future research should prioritize understanding the unique health challenges faced by migrant workers to inform policy making, develop effective interventions, and implement best practices to improve their health and well-being. Full article

In this article, we explore the racialized construction of migrants by the Carabineros, the Chilean national police. Based on a qualitative case study, we show that the representations of Latin American and Caribbean migrants by members of this institution are racialized and mostly framed on ideas of a historically constructed superiority. Drawing on interviews with police personnel from different units in Santiago, Chile, we show how the historical state racist policies on migration and systemic institutional racism are embedded in the Carabineros’ discourse, who represent the state and law in their everyday interactions with migrants. Historically, this institution continues to be a strongly hierarchical and militarized police force, whose mission has been to defend territorial integrity and the moral, socio-historical, and cultural national identity, as well as to uphold the most important values of the so-called Chilenidad. We argue that the Chilean police frame their racialized representations of Latin American and Caribbean migrants within systemic institutional racism and socio-historical tropes, particularly from racialized, class, and moral perspectives that reproduce anti-immigrant sentiments and illustrate the ways in which migrants have been historically criminalized and treated in everyday life. Full article

The architecture of international aid and climate finance should be reformed to address the needs of climate migrants. While humanitarian aid agencies that support some climate migrants are increasingly overburdened, climate migration has been underestimated and largely neglected by the United Nations Framework Convention on Climate Change (UNFCCC). The policy community has based a high-end estimate of 216 million potential climate migrants by 2050 on Groundswell (2021), but Groundswell does not address all drivers. It uses statistical methods to estimate internal migration from slow-onset drivers including crop yields, water supplies, and sea level rise, but the state of knowledge only permits rough, “back-of-the-envelope” estimates for other forms and drivers. Working out such estimates for sudden-onset drivers and for the remaining slow-onset drivers, if mitigation and adaptation are weak, I find that there could be about 500 million climate migrants by 2050. While the UNFCCC classifies climate migration under adaptation, few adaptation resources are devoted to migrants’ needs. Based on humanitarian aid expenses for other kinds of migrants, I estimate it could cost around $7000 per person to help climate migrants to rebuild their lives. At this rate, support for climate migrants would be a significant part of the total climate finance, and with organizational needs for supporting climate migrants being quite different from those for adaptation proper, it would make sense for the UNFCCC to address climate migration as a separate category on par with mitigation and adaptation. Full article

The global rise in population and advancement in civilization have led to a substantial increase in energy demand, particularly in the industrial sector. This sector accounts for a considerable proportion of total energy consumption, with approximately three-quarters of its energy consumption being used for heat processes. To meet the Paris Agreement goals, countries are aligning policies with international agreements, and companies are setting net-zero targets. Upstream emissions of the Scope 3 category refer to activities in the company’s supply chain, being crucial for achieving its net-zero ambitions. This study analyzes heating solutions for the supply chain of certain globally operating companies, contributing to their 2030 carbon-neutral ambition. The objective is to identify current and emerging heating solutions from carbon dioxide equivalent (CO₂e) impact, economic, and technical perspectives, considering regional aspects. The methodology includes qualitative and quantitative surveys to identify heating solutions and gather regional CO₂e emission factors and energy prices. Calculations estimate the CO₂e emissions and energy costs for each technology or fuel, considering each solution’s efficiency. The study focuses on Europe, the United States, Brazil, China, and Saudi Arabia, regions or countries representative of companies’ global supply chain setups. Results indicate that heat pumps are the optimal solution for low temperatures, while biomass is the second most prevalent solution, except in Saudi Arabia where natural gas is more feasible. For medium and high temperatures, natural gas is viable in the short term for Saudi Arabia and China, while biomass and electrification are beneficial for other regions. The proportion of electricity in the energy mix is expected to increase, but achieving decarbonization targets requires cleaner energy mixes or competitive Power Purchase Agreement (PPA) projects. Brazil, with its high proportion of renewable energy sources, offers favorable conditions for using green electricity to reduce emissions. The utilization of biomethane is promising if costs and incentives align with those in the EU. Although not the objective of this study, a comprehensive analysis of CAPEX and lifecycle costs associated with equipment is necessary when migrating technologies. Policies and economic incentives can also make these solutions more or less favorable. Full article

With the rapid pace of urbanization, a significant number of rural laborers are migrating to cities, leading to a severe shortage of agricultural labor. Consequently, the modernization of agriculture has become a priority. Autonomous picking robots represent a crucial component of agricultural technological innovation, and their development drives progress across the entire agricultural sector. This paper reviews the current state of research on fruit- and vegetable-picking robots, focusing on key aspects such as the vision system sensors, target detection, localization, and the design of end-effectors. Commonly used target recognition algorithms, including image segmentation and deep learning-based neural networks, are introduced. The challenges of target recognition and localization in complex environments, such as those caused by branch and leaf obstruction, fruit overlap, and oscillation in natural settings, are analyzed. Additionally, the characteristics of the three main types of end-effectors—clamping, suction, and cutting—are discussed, along with an analysis of the advantages and disadvantages of each design. The limitations of current agricultural picking robots are summarized, taking into account the complexity of operation, research and development costs, as well as the efficiency and speed of picking. Finally, the paper offers a perspective on the future of picking robots, addressing aspects such as environmental adaptability, functional diversity, innovation and technological convergence, as well as policy and farm management. Full article