Abstract This essay critically examines the role of deep mapping in representing migration experiences, focusing on how contemporary humanitarian frameworks engage with and reproduce the method’s historical entanglements with imperial and colonial power. The analysis centers on Migrants on the Move, a digital visual archive that combines geospatial data with narrative storytelling to trace irregular migration routes in Libya and Mali. To interrogate this case, I draw on Nicholas Mirzoeff’s concept of “Visuality 2,” which describes the shift from traditional forms of visual control to technologically mediated systems of knowledge production. Extending this framework, I introduce the notion of the “humanitarian complex,” a concept that captures the paradox in which data-driven migration projects operate. They embody this material paradox by facilitating humanitarian aid while enabling surveillance and control, reinforcing power structures, revealing power’s inescapable, co-opting influence, and limited possibilities for truly resistant alternatives. The study finds a central tension in Migrants on the Move: while narrative elements foreground migrant voices and humanize experiences, the overarching reliance on aggregate data and risk-based framings tends to abstract migration into cognitive maps of systemic peril rather than sites of lived subjectivity. This abstraction risks transforming migrants into epistemic objects within humanitarian infrastructures, with their agency diminished by the very practices intended to amplify it. The essay concludes that visual archives of migration are not neutral records but active platforms shaping public perception and policy. By examining the intersections of visuality, humanitarianism, and critical cartography, the article underscores the ethical and political stakes of representing migration and presents more equitable narrative approaches to human mobility.
Abstract The right to seek asylum is meant to offer protection to those suffering from persecution. Currently, numerous countries face severe delays in granting and adjudicating this right. This paper theorizes from the US asylum system, where a backlog of over 2.2 million cases poses the following dilemma: ensure an equal and fair process for asylum seekers, despite it likely leading to waiting periods that can reach several years, or implement efficiency policies to offer protection to the largest number of refugees possible, even when practitioners have deemed them a violation of asylum seekers’ equal rights to fair proceedings. Using insights gathered in in-depth interviews and participant observation, this paper explores this dilemma between efficacy and equal treatment and analyzes the moral costs of opting for one over the other. Even though this dilemma cannot be fully resolved, I offer pathways to mitigate it, with a focus on need-based and social membership considerations. Beyond furthering an effort in political theory to think normatively about time, taking this dilemma seriously forces us to re-evaluate how, as political communities, we want to grant the humanitarian protection we have signed up to provide.
Abstract Food security is becoming increasingly problematised, as demonstrated by the Covid-19 pandemic and the ensuing lockdown, or by the crisis in the global grain markets induced by the war in Ukraine. How out-migration and return change agriculture in different countries of origin, including Eastern Europe, is less understood in connection to such crises. In this paper we look at the ways in which agriculture and its labour regime change under the impact of international migration in two geographical areas in Romania, the Transylvanian Highlands and Banat. We analyse how two types of actors return to Romanian agriculture and how they occupy different labour positions: small-scale entrepreneurs and seasonal workers. Unlike much research on migration and development depicting migrants as agents of positive change, we consider social remittances as contested. We advance the notion of “opposing remittances” to account for how migrants differently reflect on their migration experiences and how class-based relations, marginalisation and racial inequalities affect social remittances related to labour. Ultimately, this paper reveals how inequalities are entangled in return migration in agriculture, and how contingent migration experiences contribute to the variegation of social remittances.
Rapid urban population growth drives car travel demand, increasing transport carbon emissions and posing a critical challenge to sustainable development. Although existing studies have demonstrated that eco-routing can reduce individual emissions, research gaps remain. On the one hand, such personal reductions have a negligible impact on overall emissions, and cannot be simply aggregated to capture the complex effects of large-scale eco-routing. On the other hand, under population growth, the long-term effectiveness of eco-routing, as well as the evolution of its efficiency and traveler route choice, remain underexplored. To address these limitations, this study proposes Time-Only and Time-Carbon user equilibrium (UE) models, integrates them with a demand forecasting method for simulating future network traffic, and designs multi-dimensional metrics to characterize urban dynamics. Using real-world road networks, commuting origin-destination (OD) demand, and population projections under various shared socioeconomic pathways (SSPs) for six representative U.S. cities as a case study, we conduct a comprehensive analysis of urban dynamics across different routing strategies and population sizes. The results reveal that while eco-routing mitigates total emissions, emissions in most cities scale superlinearly with population, a scaling order that remains invariant regardless of routing and construction strategies. Moreover, under population growth, travelers using eco-routing tend to increasingly select shorter routes, giving rise to carbon bottlenecks. A strategy of targeted capacity expansion on these critical bottlenecks (0.46% of links) significantly reduces both emissions (3%) and travel time (28%) without compromising eco-routing efficiency. This study provides a foundation for formulating low-carbon urban transport planning and emission reduction policies.
Abstract Militarism is a discourse that glorifies soldiers and treats military service as a key component of full citizenship. This article contends that states can project militaristic discourse onto citizens living outside their territory, thus creating an extraterritorial variant of militarism. When home-state elites construct overseas citizens as soldiers, they evaluate them based on their military record or their potential as prospective soldiers. The paradigmatic case of Israel reveals three forms of extraterritorial militarism: constructing citizens abroad as non-soldiers, past soldiers, or future soldiers. A discourse analysis of parliamentary debates illustrates how Israeli elites framed those emigrants and children of emigrants who served or were willing to serve in the Israel Defense Forces as better extraterritorial citizens than those who did not or would not serve. Additionally, the article examines who is excluded from the discourse of extraterritorial militarism in Israel, and how and why this discourse has changed over time.
Existing operations research (OR) models and tools play indispensable roles in smart-city operations, yet their practical implementation is limited by the complexity of modeling and deficiencies in optimization proficiency. To generate more relevant and accurate solutions to users' requirements, we propose a large language model (LLM)-based agent ("City-LEO") that enhances the efficiency and transparency of city management through conversational interactions. Specifically, to accommodate diverse users' requirements and enhance computational tractability, City-LEO leverages LLM's logical reasoning capabilities on prior knowledge to scope down large-scale optimization problems efficiently. In the human-like decision process, City-LEO also incorporates End-to-end (E2E) model to synergize the prediction and optimization. The E2E framework be conducive to coping with environmental uncertainties and involving more query-relevant features, and then facilitates transparent and interpretable decision-making process. In case study, we employ City-LEO in the operations management of e-bike sharing (EBS) system. The numerical results demonstrate that City-LEO has superior performance when benchmarks against the full-scale optimization problem. With less computational time, City-LEO generates more satisfactory and relevant solutions to the users' requirements, and achieves lower global suboptimality without significantly compromising accuracy. In a broader sense, our proposed agent offers promise to develop LLM-embedded OR tools for smart-city operations management.
The notion of the $x$-minute city is again popular in urban planning, but the practical implications of developing walkable neighborhoods have not been rigorously explored. What is the scale of the challenge that cities needing to retrofit face? Where should new stores or amenities be located? For 500 cities in the United States, we explored how many additional supermarkets would be required to achieve various levels of $x$-minute access and where new stores should be located so that this access is equally-distributed. Our method is unique because it combines a novel measure of equality with a new model that optimally locates amenities for inequality-minimizing community access. We found that 25% of the studied cities could reach 15-minute access by adding five or fewer stores, while only 10% of the cities could even achieve 5-minute average access when using neighborhood centroids as potential sites; the cities that could, on average, required more than 100 stores each. This work provides a tool for cities to use evidenced-based planning to efficiently retrofit in order to enable active transport, benefiting both the climate and their residents' health. It also highlights the major challenge facing our cities due to the existing and ongoing car-dependent urban design that renders these goals unfeasible.
Luule Sakkeus, Katrin Schwanitz, Liili Abuladze
et al.
Human development and ageing are lifelong processes, where earlier life conditions and events are interlinked with later life outcomes. Patterns of inequality within and among cohorts emerge over time as products of the interplay between institutional arrangements and individual life, often dependent on childhood or earlier life circumstances. The life conditions and experiences of older adults in Eastern and Western Europe differ significantly, but whether their cumulative effects on later life outcomes vary across these two regions has not been compared. We explore the effects of socioeconomic position, the experience of a period of hunger, the dispossession of assets, and discrimination suffered by parents in respondents’ life courses on later life health inequalities in Europe. Self-reported health, everyday activity limitations, and cognitive functioning are the main outcomes that provide an adequate overview of different health domains. We mainly use data from the seventh wave of the Survey of Health, Ageing, and Retirement in Europe (SHARE 2017) and restrict our sample to respondents aged 65 and older from 26 European countries (N=41,566). We find that older people in Eastern Europe fare worse in self-rated health and everyday activity limitations than Western Europeans, while Eastern Europeans indicate somewhat better outcomes in cognitive functioning. A disadvantaged socioeconomic position in childhood and adulthood has the strongest association with all health outcomes, followed by the experience of hunger over the life course for the whole of Europe. However, we do not find diverging associations between life-course factors and health outcomes in Eastern and Western Europe. We argue that self-reported health, everyday activity limitations and cognitive functioning have to be analysed within their own frameworks and cannot yield conclusions that are uniform for all health outcomes. Moreover, major generalisations either about Eastern or Western Europe must be treated with caution as the regions have very different historical as well as demographic developments and thus cannot be treated as uniform.
* This article belongs to a special issue on “Demographic Developments in Eastern and Western Europe Before and After the Transformation of Socialist Countries”.
Urban groups. The city. Urban sociology, City population. Including children in cities, immigration
Abstract This article takes an in-depth look at caseworkers at the European Union Asylum Agency in Greece. The agency’s increased role in asylum case processing and the emergence of the called “integrated European administration” is an unusual but nevertheless critical case to study for scholars of European asylum bureaucracies. Previous research into member state’s national migration authorities has shown that discretionary decision-making is widely deployed by asylum caseworkers. Generally, street-level bureaucrats tend to ‘reinterpret’ policy and creatively make use of the legal framework of the Common European Asylum System in order to make their day-to-day operations run more smoothly and resolve ethical dilemmas. However, this article finds that in the case of the European Union Asylum Agency, the compartmentalized institutional arrangement and short-term contracts removes both the incentive and ability for caseworkers to creatively reinterpret policy and deploy discretionary practices. It is therefore argued that scholars of asylum bureaucracy in Europe must pay increased attention to how the bureaucratic configuration of migration authorities.
In the advent of the coronavirus pandemic and the push to digital work, this op-ed argues that the emerging digital economy can be vital for enabling refugee women in the Middle East and North Africa (MENA) to overcome existing livelihood barriers. Since the outbreak of the Syrian crisis in 2011, over 6.5 million Syrian refugees have been registered by the United Nations High Commissioner for Refugees (UNHCR) globally. Neighbouring countries across the MENA region continue to carry the largest share of the burden. Across the region, refugees live on the margins, in camps, as well as urban and peri-urban communities, and other informal settlements. Existing gender disparities coupled with other social and logistical barriers, as well as restrictive legal and economic structures, exacerbate livelihood challenges for refugee women in MENA. Research demonstrates that the digital economy, particularly crowd and ‘on-demand’ work, could provide opportunities that would enable women refugees to overcome these barriers to work. As it stands, however, the digital economy is still in its infancy, especially in host countries in MENA, and it is still fraught with challenges, including barriers to entry, employee protections and the lack of guarantees to decent work, especially for vulnerable and marginalised communities. We therefore argue that there is a need to direct efforts to maximise the benefits that the digital economy could offer, especially to refugee women – a need that has become even more pertinent since the coronavirus pandemic.
City population. Including children in cities, immigration
Francisco Betancourt, Alejandro P. Riascos, José L. Mateos
We aim to study the temporal patterns of activity in points of interest of cities around the world. In order to do so, we use the data provided by the online location-based social network Foursquare, where users make check-ins that indicate points of interest in the city. The data set comprises more than 90 million check-ins in 632 cities of 87 countries in 5 continents. We analyzed more than 11 million points of interest including all sorts of places: airports, restaurants, parks, hospitals, and many others. With this information, we obtained spatial and temporal patterns of activities for each city. We quantify similarities and differences of these patterns for all the cities involved and construct a network connecting pairs of cities. The links of this network indicate the similarity of temporal visitation patterns of points of interest between cities and is quantified with the Kullback-Leibler divergence between two distributions. Then, we obtained the community structure of this network and the geographic distribution of these communities worldwide. For comparison, we also use a Machine Learning algorithm - unsupervised agglomerative clustering - to obtain clusters or communities of cities with similar patterns. The main result is that both approaches give the same classification of five communities belonging to five different continents worldwide. This suggests that temporal patterns of activity can be universal, with some geographical, historical, and cultural variations, on a planetary scale.
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e.g., single cities or regions). Yet these AI models tend to meet the performance bottleneck in the case studies across cities or regions, due to the lack of diverse RS information and cutting-edge solutions with high generalization ability. To this end, we build a new set of multimodal remote sensing benchmark datasets (including hyperspectral, multispectral, SAR) for the study purpose of the cross-city semantic segmentation task (called C2Seg dataset), which consists of two cross-city scenes, i.e., Berlin-Augsburg (in Germany) and Beijing-Wuhan (in China). Beyond the single city, we propose a high-resolution domain adaptation network, HighDAN for short, to promote the AI model's generalization ability from the multi-city environments. HighDAN is capable of retaining the spatially topological structure of the studied urban scene well in a parallel high-to-low resolution fusion fashion but also closing the gap derived from enormous differences of RS image representations between different cities by means of adversarial learning. In addition, the Dice loss is considered in HighDAN to alleviate the class imbalance issue caused by factors across cities. Extensive experiments conducted on the C2Seg dataset show the superiority of our HighDAN in terms of segmentation performance and generalization ability, compared to state-of-the-art competitors. The C2Seg dataset and the semantic segmentation toolbox (involving the proposed HighDAN) will be available publicly at https://github.com/danfenghong.
Dynamic changes and the increasing diversity of migrant societies support small-scale enclave businesses in Poland. Female migrants from Belarus and Ukraine appear to have found their niche in the beauty and cosmetology sector. Nevertheless, their entrepreneurship goes beyond the enclave market. Specialists provide services to migrant communities and simultaneously target Polish clients to ensure the success of their ventures. This article presents the results of qualitative research based on 13 in-depth interviews with Ukrainian and Belarusian beauty specialists. I focus on these businesswomen’s narratives about their entrepreneurial trajectories. My aim is to explore how they use and extend their social relationships in order to acquire entrepreneurial agency. Entrepreneurship can be understood as a socially embedded practice. I apply an intersectionality approach to investigate the complexity of socially constructed identities and the dimensions of individual entrepreneurial agency. Incorporating a mixed embeddedness approach, I examine the impact of structural factors on entrepreneurial activity and the importance of social networks for women’s self-realisation as independent beauty specialists.
Colonies and colonization. Emigration and immigration. International migration, City population. Including children in cities, immigration
In the absence of a normative framework, the concept of humanitarian corridors lacks a consistent definition and is highly vulnerable to political interpretation. The notion underwent multiple semantic shifts, from referring to a right of passage in situations of armed conflict, to an appeal to facilitated access in the face of bordure closures or bureaucratic constraints. The diverse range of situations in reference to which the terms ‘humanitarian corridor’, ‘relief corridor’ or ‘access corridor’ are used, often interchangeably, is matched only by the diverse range of actors that use them. Calls for their opening have become so common that corridors seem increasingly considered a relevant modality of humanitarian action despite much ambiguity around what they are expected to achieve, how much protection they offer, and how they are likely to affect the overall dynamic of conflicts. Meant to allow the unobstructed deployment of humanitarian aid and/or the evacuation of civilians, humanitarian corridors are by definition temporary and limited in geographical scope. As such, they are a timid assertion of the principle of free access to victims, prone to manipulation by belligerents or third parties to serve war strategies or to project an image of civility. Looking at the wide array of its application in history, the author puts the use of the concept into perspective, drawing on a variety of examples to illustrate how both the idea and its implementation have been problematic. A few operational recommendations are then derived from this analysis for humanitarian practitioners to consider and adapt in light of their particular context.
City population. Including children in cities, immigration
Pedro Rito, Ana Almeida, Andreia Figueiredo
et al.
This article presents the deployment and experimentation architecture of the Aveiro Tech City Living Lab (ATCLL) in Aveiro, Portugal. This platform comprises a large number of Internet-of-Things devices with communication, sensing and computing capabilities. The communication infrastructure, built on fiber and Millimeter-wave (mmWave) links, integrates a communication network with radio terminals (WiFi, ITS-G5, C-V2X, 5G and LoRa(WAN)), multiprotocol, spread throughout 44 connected points of access in the city. Additionally, public transportation has also been equipped with communication and sensing units. All these points combine and interconnect a set of sensors, such as mobility (Radars, Lidars, video cameras) and environmental sensors. Combining edge computing and cloud management to deploy the services and manage the platform, and a data platform to gather and process the data, the living lab supports a wide range of services and applications: IoT, intelligent transportation systems and assisted driving, environmental monitoring, emergency and safety, among others. This article describes the architecture, implementation and deployment to make the overall platform to work and integrate researchers and citizens. Moreover, it showcases some examples of the performance metrics achieved in the city infrastructure, the data that can be collected, visualized and used to build services and applications to the cities, and, finally, different use cases in the mobility and safety scenarios.
Dina Sidhva, Ann-Christin Zuntz, Ruba al Akash
et al.
This article explores the intersections of generational and gender dynamics with humanitarian governance in Jordan that cause shifts in the division of labour within displaced families. Drawing on life history interviews and focus group discussions with seventeen Syrian women in Jordan in spring 2019, we explore the monetary and non-monetary contributions of middle-aged females to the livelihoods of refugee households. Older women’s paid and unpaid labour holds together dispersed families whose fathers have been killed or incapacitated, or remain in Syria or in the Gulf. In doing so, many women draw on their pre-war experience of living with – or rather apart from – migrant husbands. Increased economic and social responsibilities coincide with a phase in our interviewees’ lifecycle in which they traditionally acquire greater authority as elders, especially as mothers-in-law. While power inequalities between older and younger Syrian women are not new, they have been exacerbated by the loss of resources in displacement. Our insights offer a counterpoint to humanitarian attempts at increasing refugees’ ‘self-reliance’ through small-scale entrepreneurship. For now, culturally appropriate and practically feasible jobs for middle-aged women are found in their living rooms. Supportive humanitarian action should allow them to upscale their businesses and address power dynamics within families.
City population. Including children in cities, immigration
Abstract The ways border regimes affect migration patterns remain ambiguous. Closed borders may constrain migration but also encourage migrants to pursue alternative migration channels and destinations. While open borders may be associated with higher migration, oftentimes they promote circulation and return. To clarify how different border regimes influence migration patterns, this article examines the impact of open and closed border regimes on migration outcomes in Guyana, Suriname and French Guiana in the 1950s–1980s period, when all three gained independence or non-sovereign status and colonial ties were strong. The article proposes a conceptual schematic model that can accommodate varied post-colonial political and border regime transitions and explains changes in the timing, destination and composition of migration. The analysis finds that, counterintuitively, closed borders can lead to high emigration while open borders can encourage people to stay. The proposed model also illustrates the relevance of three dimensions of time: the historical juncture, the sequence of change and the time span. In sum, rather than preventing migration, border regimes yield important effects that lead to migration diversification.
Characterizing the efficiency of movements is important for a better management of the cities. More specifically, the connection between the efficiency and uncertainty (entropy) production of a transport process is not established yet. In this study, we consider the movements of selfish drivers from their homes (origins) to work places (destinations) to see how interactions and randomness in the movements affect a measure of efficiency and entropy production (uncertainty in the destination time intervals) in this process. We employ realistic models of population distributions and mobility laws to simulate the movement process, where interactions are modelled by dependence of the local travel times on the local flows. We observe that some level of information (the travel times) sharing enhances a measure of predictability in the process without any coordination. Moreover, the larger cities display smaller efficiencies, for the same model parameters and population density, which limits the size of an efficient city. We find that entropy production is a good order parameter to distinguish the low- and high-congestion phases. In the former phase, the entropy production grows monotonically with the probability of random moves, whereas it displays a minimum in the congested phase; that is randomness in the movements can reduce the uncertainty in the destination time intervals. The findings highlight the role of entropy production in the study of efficiency and predictability of similar processes in a complex system like the city.