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Durante el Foro Económico Mundial 2016, la estrategia de pacificación aplicada en las favelas de Río fue reconocida como una de las políticas de seguridad pública más innovadoras en la última década. A partir de este escenario, y utilizando el concepto Competition in State-Making (Construcción Competitiva de Estado), el presente artículo analiza, bajo un enfoque cualitativo, el diseño e implementación de la iniciativa. Luego, buscamos realizar un balance de los resultados obtenidos tras su ejecución, y finalmente, examina las principales lecciones que pueden extraerse del caso brasileño. La principal conclusión de esta investigación es que la estrategia brasileña de pacificación se fundamentó en tres pilares: descriminalización operacional; adopción de enfoque integral; y coordinación entre los tres niveles gubernamentales (federal, estadual y municipal).

Urban slum dwellers — especially in emerging-economy countries — are often poor, live in squalor, and suffer unnecessarily from disease, disability, premature death, and reduced life expectancy. Yet living in a city can and should be healthy. Slum Health exposes how and why slums can be unhealthy; reveals that not all slums are equal in terms of the hazards and health issues faced by residents; and suggests how slum dwellers, scientists, and social movements can come together to make slum life safer, more just, and healthier. Editors Jason Corburn and Lee Riley argue that valuing both new biologic and “street” science — professional and lay knowledge — is crucial for improving the well-being of the millions of urban poor living in slums.

In the 1880s, fashionable Londoners left their elegant homes and clubs in Mayfair and Belgravia and crowded into omnibuses bound for midnight tours of the slums of East London. A new word burst into popular usage to describe these descents into the precincts of poverty to see how the poor lived: slumming. In this captivating book, Seth Koven paints a vivid portrait of the practitioners of slumming and their world: who they were, why they went, what they claimed to have found, how it changed them, and how slumming, in turn, powerfully shaped both Victorian and twentieth-century understandings of poverty and social welfare, gender relations, and sexuality. The slums of late-Victorian London became synonymous with all that was wrong with industrial capitalist society. But for philanthropic men and women eager to free themselves from the starched conventions of bourgeois respectability and domesticity, slums were also places of personal liberation and experimentation. Slumming allowed them to act on their irresistible \"attraction of repulsion\" for the poor and permitted them, with society's approval, to get dirty and express their own \"dirty\" desires for intimacy with slum dwellers and, sometimes, with one another. Slumming elucidates the histories of a wide range of preoccupations about poverty and urban life, altruism and sexuality that remain central in Anglo-American culture, including the ethics of undercover investigative reporting, the connections between cross-class sympathy and same-sex desire, and the intermingling of the wish to rescue the poor with the impulse to eroticize and sexually exploit them. By revealing the extent to which politics and erotics, social and sexual categories overflowed their boundaries and transformed one another, Koven recaptures the ethical dilemmas that men and women confronted--and continue to confront--in trying to \"love thy neighbor as thyself.\"

Tourism has grown exponentially in the 21st century and continues to be one of the rapidly growing industries in the world in terms of revenue generation and employment opportunities. It covers not only travel services and boarding-lodging activities but a wide range of independent but related sectors like transport, accommodation, food and beverage, and entertainment, among others. Modern tourism is diversified and includes several odd types of tourism, like slum tourism, dark tourism, and sex tourism. This paper analyzes the case of slum tourism to Dharavi, India’s commercial capital and largest city as well as the benefits and disadvantages that such kind of tourism has. It also attempts to understand the opinion of the common people and slum dwellers on slum tourism, while observing if the ten principles of the “Global Code of Ethics for Tourism” (GCET) have been fulfilled in the country. The results show that overall, the principles of GCET are fulfilled but much is still left to be done. On the other side, most of the slum residents accept slum tourism as a reality that brings more benefits than damage to their living environment and are of the opinion that tourism brings prosperity to them and to the country.

The concept of sustainable development has occupied the attention of the international community to meet the growing challenges of urban growth and population growth in the 21st century. The phenomenon of slums is one of the most important of these challenges, on the other hand, slum tourism has emerged as a solution to these challenges, as it is considered an engine of economic growth, cultural communication, and social interaction, and has become a legitimate global tourism that attracts nearly one million tourists annually. Iraq suffers from spread of slums around cities with a clear shortage of tourist facilities; difficult access; loss of security and safety; weak marketing and promotion; and the need for organization and integrated management. The research is an attempt to fill the need for knowledge about the role of urban catalyzation strategies in activating this type of tourism and achieving sustainable development of slums, and to achieve the objectives of the research, an inductive analytical approach was used to collect and analyze data from previous literature, and a field survey was conducted for a random sample (150 people) from the local community with interviews with residents and analysis of global applications, to identify the extent of the local community’s knowledge of the concept of slum tourism and its role in achieving sustainable urban development for these areas. The research found that slum tourism plays an important role in achieving sustainable urban development for these areas, as it contributes to the economic growth of local communities, reduces poverty, reduces the negative impact on the environment and accelerates the growth and development of local areas in general.

Along with rapid urbanization, the growth and persistence of slums is a global challenge. While remote sensing imagery is increasingly used for producing slum maps, only a few studies have analyzed their temporal dynamics. This study explores the potential of fully convolutional networks (FCNs) to analyze the temporal dynamics of small clusters of temporary slums using very high resolution (VHR) imagery in Bangalore, India. The study develops two approaches based on FCNs. The first approach uses a post-classification change detection, and the second trains FCNs to directly classify the dynamics of slums. For both approaches, the performances of 3 × 3 kernels and 5 × 5 kernels of the networks were compared. While classification results of individual years exhibit a relatively high F1-score (3 × 3 kernel) of 88.4% on average, the change accuracies are lower. The post-classification results obtained an F1-score of 53.8% and the change-detection networks obtained an F1-score of 53.7%. According to the trajectory error matrix (TEM), the post-classification results scored higher for the overall accuracy but lower for the accuracy difference of change trajectories than the change-detection networks. Although the two methods did not have significant differences in terms of accuracy, the change-detection network was less noisy. Within our study area, the areas of slums show a small overall decrease; the annual growth of slums (between 2012 and 2016) was 7173 m2, in contrast to an annual decline of 8390 m2. However, these numbers hid the spatial dynamics, which were much larger. Interestingly, areas where slums disappeared commonly changed into green areas, not into built-up areas. The proposed change-detection network provides a robust map of the locations of changes with lower confidence about the exact boundaries. This shows the potential of FCNs for detecting the dynamics of slums in VHR imagery.

In the first paper in this Series we assessed theoretical and empirical evidence and concluded that the health of people living in slums is a function not only of poverty but of intimately shared physical and social environments. In this paper we extend the theory of so-called neighbourhood effects. Slums offer high returns on investment because beneficial effects are shared across many people in densely populated neighbourhoods. Neighbourhood effects also help explain how and why the benefits of interventions vary between slum and non-slum spaces and between slums. We build on this spatial concept of slums to argue that, in all low-income and-middle-income countries, census tracts should henceforth be designated slum or non-slum both to inform local policy and as the basis for research surveys that build on censuses. We argue that slum health should be promoted as a topic of enquiry alongside poverty and health.

The study aimed to provide an in-depth analysis of the effects of the COVID-19 lockdown on livelihoods in Ghana. The study specifically focused on Agbogbloshie (Old Fadama), the largest slum in the Greater Accra region. To achieve this objective, a qualitative approach and a case study design were employed. A total of 14 respondents were purposively sampled and interviewed for this research. The findings showed that the weak social structures of Agbogbloshie left residents and their livelihood assets vulnerable to the damaging effects of the COVID-19 lockdown. Among these assets, financial capital was most significantly affected, resulting in job losses, depletion of savings, increased debt, and a deepening of poverty. Residents relying on daily sales were forced to borrow, intensifying their financial difficulties. Although some experienced short-term economic gains before the lockdown due to panic buying, the community largely missed out on government support. This raises concerns about the inclusivity of government interventions during the pandemic, emphasising the need for targeted support to address vulnerability, as highlighted by Fineman’s Vulnerability theory.

In the center of Mumbai, next to the city's newest and most expensive commercial developments, lies one of Asia's largest slums, where as many as one million squatters live in makeshift housing on one square mile of government land. This is the notorious Dharavi district, best known from the movieSlumdog Millionaire. In recent years, cities from Delhi to Rio de Janeiro have demolished similar slums, at times violently evicting their residents, to make way for development. But Dharavi and its residents have endured for a century, holding on to what is now some of Mumbai's most valuable land. InThe Durable Slum, Liza Weinstein draws on a decade of work, including more than a year of firsthand research in Dharavi, to explain how, despite innumerable threats, the slum has persisted for so long, achieving a precarious stability. She describes how economic globalization and rapid urban development are pressuring Indian authorities to eradicate and redevelop Dharavi-and how political conflict, bureaucratic fragmentation, and community resistance have kept the bulldozers at bay. Today the latest ambitious plan for Dharavi's transformation has been stalled, yet the threat of eviction remains, and most residents and observers are simply waiting for the project to be revived or replaced by an even grander scheme. Dharavi's remarkable story presents important lessons for a world in which most population growth happens in urban slums even as brutal removals increase. From Nairobi's Kibera to Manila's Tondo, megaslums may be more durable than they appear, their residents retaining a fragile but hard-won right to stay put.

The survey-based slum mapping (SBSM) program conducted by the Indonesian government to reach the national target of “cities without slums” by 2019 shows mapping inconsistencies due to several reasons, e.g., the dependency on the surveyor’s experiences and the complexity of the slum indicators set. By relying on such inconsistent maps, it will be difficult to monitor the national slum upgrading program’s progress. Remote sensing imagery combined with machine learning algorithms could support the reduction of these inconsistencies. This study evaluates the performance of two machine learning algorithms, i.e., support vector machine (SVM) and random forest (RF), for slum mapping in support of the slum mapping campaign in Bandung, Indonesia. Recognizing the complexity in differentiating slum and formal areas in Indonesia, the study used a combination of spectral, contextual, and morphological features. In addition, sequential feature selection (SFS) combined with the Hilbert–Schmidt independence criterion (HSIC) was used to select significant features for classifying slums. Overall, the highest accuracy (88.5%) was achieved by the SVM with SFS using contextual, morphological, and spectral features, which is higher than the estimated accuracy of the SBSM. To evaluate the potential of machine learning-based slum mapping (MLBSM) in support of slum upgrading programs, interviews were conducted with several local and national stakeholders. Results show that local acceptance for a remote sensing-based slum mapping approach varies among stakeholder groups. Therefore, a locally adapted framework is required to combine ground surveys with robust and consistent machine learning methods, for being able to deal with big data, and to allow the rapid extraction of consistent information on the dynamics of slums at a large scale.