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The purpose of this paper is to examine the causes, the nature and the extent of unneighbourly relations between neighbours living in small multi-owned residential buildings (MOBs, sometimes called strata) in Australian cities, and the effect of these relations on the health and wellbeing of residents. The impact of neighbour relations and conflicts on residents' health and wellbeing has not been explored before in the context of small MOBs in Australia (under 12 units).

The research involved an analysis of secondary data on common problems experienced in MOBs between neighbours, in-depth face-to-face interviews with twenty-six residents and interviews with five managers of management agencies in metropolitan Melbourne (Victoria) and Adelaide (South Australia), Australia.

When strata processes and management worked well residents were positive about living in such an arrangement. However, when the strata group was less harmonious residents reported that it impacted negatively on their health and wellbeing.

The study's findings are subject to the widely acknowledged limitations of small sample-based interview research. Findings indicate that there is a need to explore the benefits and disadvantages of living in small multi-owned residential buildings in Australia on a larger scale.

There are three policy implications from the findings: a need for better education of prospective buyers regarding the nature of strata living; tighter regulation of rules for small multi-owned apartment buildings is required, (in a similar way to how the regulations operate in large apartment buildings); and a need to include private rental tenants living in strata in the everyday life around the management of the building.

The impact of neighbourly relations and conflicts on the health and wellbeing of residents living in MOBs, particularly small ones, has not been studied adequately, as current research focuses on large apartment buildings. This research addresses a gap in the literature in the study of small living arrangements (town houses, apartment buildings, terraces), with 12 or less apartments, with a focus on residents' health and wellbeing.

In a multicultural context, this study aims to investigate the effect of ingroup versus outgroup categorization and stereotypes on residents' emotional and behavioral reactions in neighbor‐to‐neighbor conflicts. Based on the literature on the “black sheep effect”, the authors predicted that residents would actually be more irritated by ingroup than outgroup antagonists. Secondly, they predicted that reactions to deviant behavior by an outgroup antagonist would be shaped by the valence of stereotypes about the respective groups.

Residents with either a native‐Dutch or a Turkish background (n=529) completed a questionnaire on outgroup stereotypes, and responded to a conflict situation in which the ethnicity of an antagonist was manipulated between subjects.

Supporting the black sheep effect, results reveal that both native‐Dutch and Turkish residents reported more negative emotions towards an ingroup than an outgroup antagonist. In addition, when confronting an outgroup antagonist, stereotype negativity was related to more negative emotions and intentions for destructive conflict behavior.

The current study demonstrates that residents may actually get irritated more easily by ingroup than outgroup antagonists. Reactions to outgroup antagonists are further moderated by stereotype valence; negative outgroup stereotypes may lead to less tolerance towards outgroup antagonists and higher chances for conflict escalation.

This is the first paper in which evidence for the black sheep effect is obtained in a field study and simultaneously for majority and minority members. In addition, evidence is presented that emotions may mediate the influence of the antagonist's group membership on conflict behavior.

The last decades, neighborhood mediation programs have become an increasingly popular method to deal with conflicts between neighbors. In the current paper the aim is to propose and show that conflict asymmetry, the degree to which parties differ in perceptions of the level of conflict, may be important for the course and outcomes of neighborhood mediation.

Data for testing the hypotheses were based on coding all (261) files of neighbor conflicts reported to a Dutch neighborhood mediation program in the period from 2006 through 2008.

As expected, cases were more often about asymmetrical than symmetrical conflicts. Moreover, compared to symmetrical conflicts, asymmetrical conflicts less often led to a mediation session; the degree of escalation was lower; and, particularly in asymmetrical conflicts, a mere intake session already contributed to positive conflict outcomes.

Past research on the effectiveness of mediation programs mainly focused on cases in which a mediation session effectively took place. However, persuading parties to participate in a mediation session forms a major challenge for mediators. In fact, many cases that are signed‐up for mediation programs do not result in an actual mediation. The current study examines the entire mediation process – from intake to follow‐up.

Success and failure in mediation are widely understood to determine whether a state will receive positive or negative reputation outcomes from undertaking a mediation role in an international conflict. Research from mediation in domestic settings contradicts this view, finding that peer mediators in school and community settings received positive mediator outcomes from undertaking their role, even when they failed to facilitate an agreement between disputants. This paper aims to test this assumption and argues that mediation success and failure are only weakly correlated with observable reputation outcomes for mediating states and proposes an alternative explanatory framework.

The hypothesis was inductively generated through a comparative analysis of single-state mediation attempts selected from the Uppsala Conflict Database Project MILC data set. The cases selected were South Africa’s mediation attempts in Côte d’Ivoire from 2004 to 2005 and Comoros from 2003 to 2004, and Mexico’s mediation attempts in Colombia (National Liberation Army) in 2004 and Guatemala (Guatemalan National Revolutionary Unity) between 1994 and 1996. To contextualise the findings and develop the explanatory framework, South African mediation attempts in Burundi and the DRC are discussed in the closing sections of the paper.

This paper finds that mediation success and failure are only weakly correlated with mediator outcomes. Mediator outcomes are explained by the activity level of the mediating state in providing mediation services; the positive intention of the mediator to assist in resolving the conflict; the scale of the conflict mediated; the severity of spill over effects from the conflict in question; the regional importance of the conflict; the proximity of the government which a mediating state looks to develop relations with to the conflict; the importance of the mediation attempt within the peace process; the level of contestation of the mediation attempt, meaning the extent to which mediation attempts are themselves sites of regional or global international power politics; and the success or failure of the mediation attempt.

An explanatory framework for state mediator outcomes in which the outcome of a mediation attempt for the third-party state is not determined solely, or even primarily, by mediation success or failure bridges mediation research applying to international and domestic issue areas and provides additional information for policy makers regarding the costs and benefits of committing their state to processes of mediation in conflicts with low probabilities of resolution. This is particularly important for state policy makers, given that mediation is successful on average in only one out of every three attempts.

India is not geographically close to either Russia or Ukraine. However, India's trade relations with them make it vulnerable to the consequences of the war between these countries. Thus, the present study aims to examine the impact of the Russia–Ukraine war on various sectoral indices of the Indian economy.

Event study methodology has been used in this study for analysis. The date of the war announcement is the event day. The sample studied includes ten sectors of the Indian economy listed on the National Stock Exchange (NSE). Results correspond to the period of −167 days to +20 days of the announcement of the war, i.e. from June 25, 2021, to March 28, 2022.

Almost all the sample sectors earned significantly positive abnormal returns in the post-event period. The metal industry has led this group by showcasing the highest abnormal returns. Though Indian sectors made overall positive returns, the market soon corrected itself and abnormal returns were wiped out.

These results can benefit portfolio managers, analysts, investors and policymakers in hedging risks and selecting suitable investments during increased global uncertainty. The study's conclusions help policymakers establish an institutional and supervisory framework that will make it easier to spot systematic risks and reduce them by putting countercyclical measures in place.

India has no geographical proximity or trade relations with Russia or Ukraine, as strong as any other European country. However, Russia has remained a strong ally to India in the trade of defense equipment. Similar is the case with Ukraine, a significant global partner for India. Thus, the impact of conflict between these two countries has not been limited to Europe only but has also engulfed related economies. Hence, the present study is one of the first attempts to examine the burns sustained by the Indian economy due to this war.

This paper aims to address the reasons behind the varying levels of volatile conflict and peace as seen during the Arab Spring of 2011 to 2015. During this time, higher rates of conflict transition occurred than normally observed in previous studies for certain Middle Eastern and North African countries.

Previous prediction models decrease in accuracy during times of volatile conflict transition. Also, proper strategies for handling the Arab Spring have been highly debated. This paper identifies which countries were affected by the Arab Spring and then applies data analysis techniques to predict a country’s tendency to suffer from high-intensity, violent conflict. A large number of open-source variables are incorporated by implementing an imputation methodology useful to conflict prediction studies in the future. The imputed variables are implemented in four model building techniques: purposeful selection of covariates, logical selection of covariates, principal component regression and representative principal component regression resulting in modeling accuracies exceeding 90 per cent.

Analysis of the models produced by the four techniques supports hypotheses which propose political opportunity and quality of life factors as causations for increased instability following the Arab Spring.

Of particular note is that the paper addresses the reasons behind the varying levels of volatile conflict and peace as seen during the Arab Spring of 2011 to 2015 through data analytics. This paper considers various open-source, readily available data for inclusion in multiple models of identified Arab Spring nations in addition to implementing a novel imputation methodology useful to conflict prediction studies in the future.

This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.

This paper uses statistical learning methods to both evaluate the quantity of data for clustering countries along with quantifying accuracy according to the number of clusters used.

This study demonstrates that increasing the number of clusters for modeling improves the ability to predict conflict as long as the models are robust.

This study investigates the quantity of clusters used in conflict modeling, while previous research assumes a specific quantity before modeling.

This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved forecasting of conflict.

In this paper statistical learning methods are used to create new country clusters that are then used in a comparative analysis of model-based conflict prediction.

In this study a reorganization of the countries assigned to specific areas of responsibility are shown to provide improvements in the ability of models to predict conflict.

The study is based on actual historical data and is purely data driven.

The study demonstrates the utility of the analytical methodology but carries not implementation recommendations.

This is the first study to use the statistical methods employed to not only investigate the re-clustering of countries but more importantly the impact of that change on analytical predictions.

The purpose of this paper is to understand how cities at different stages of development each subject to its own challenges in adapting to climate change can manage greenhouse gas (GHG) emissions.

Case studies are undertaken for three cities: Amman, Jakarta and Dar es Salaam, including determination of GHG emissions and analysis of climate change data (where available) for each.

In Amman, the most climate‐sensitive municipal service is water; Jordan is exceptionally dry, and nearly 15 per cent of all electricity consumption is by the water authority. Jakarta has already experienced extreme flooding. The climate vulnerabilities associated with sea‐level rise are intensified by subsidence in parts of Jakarta. Alternating floods and droughts are climate impacts already experienced in Dar es Salaam. Droughts have impacted Tanzania's electricity infrastructure disrupting hydroelectricity production, requiring new natural gas infrastructure to maintain power, thereby increasing GHG emissions. Nonetheless, Dar es Salaam's GHG emissions at 0.56 t CO₂e/cap are small compared to Amman and Jakarta at 3.66 and 4.92 t CO₂e/cap., respectively.

Synergist development strategies, addressing climate change mitigation and adaptation are suggested. In Amman an increased share of photovoltaic electricity production might be used for service provision, especially for energy needs surrounding water supply. Advanced slum upgrading in Jakarta could see relocation of the at‐risk poor to safe areas with energy efficient homes connected to public transit and decentralized, community‐based electricity generation. The focus in Dar es Salaam community‐based waste‐to‐energy facilities would reduce climate change impacts and vulnerabilities while addressing energy poverty in poor communities.

The purpose of this paper is to report on a systematic review that examined police social work and social service collaboration strategies implemented to address social problems.

A systematic review was conducted to identify the components of police social work and social service collaboration strategies. A total of 11 databases were searched. The inclusion criteria centered on the social problem, focus population, service providers, collaboration components and geographic location. Any methodological approach was included provided that a collaboration between police and social service providers focused on addressing a social problem was implemented and described.

The database searches identified 3,065 hits. After first eliminating duplicate titles, then reviewing and eliminating titles and abstracts that did not met the inclusion criteria, 119 full-text studies were reviewed. Among the 81 studies included in the systematic review, 83 implemented collaborations were found. The most collaborations were implemented in the USA, whereas only one implemented collaboration was found among the majority of the countries. Interpersonal violence was the most frequent social problem addressed by the collaborations followed by mental illness, crime, juvenile delinquency, and alcohol and substance use and abuse. Interventions were predominantly delivered by social workers who provided referrals and collaboration with social service agencies that assisted adults.

Given that police officers are first responders to a wide range of social problems, investigating and disseminating information about the characteristics of police social service collaboration strategies is an important endeavor. Whereas investigating the effectiveness of collaborations was not the aim of this review, several practical implications can be derived from the findings. These findings show the types of social problems, partners and tasks that comprise the collaborations. The present findings suggest that law enforcement agencies do not have accessible name brand social work and social service collaboration models that can be replicated. The majority of the collaborations found appear to be unique models implemented between law enforcement and social service agencies. More outcome studies are needed that investigate whether the social problem has improved among citizens that received services from the collaboration.

This paper is the first systematic review focused on police social work and social service collaboration strategies implemented to address social problems.