Rebuilding life after migration: Research protocol of a mixed methods study on settlement experiences of refugee and migrant youth.

Internationally, there is an urgent need to understand factors promoting successful settlement and integration of people with forced or voluntary migration experiences (i.e., refugee and non-refugee migrants). This paper provides a protocol of a mixed-methods investigation of contextual factors of successful settlement and service utilization of youth and their families, as young people could be at higher risk due to stressors associated with pre-migration trauma, post-migration settlement stressors, and adolescent development. This large-scale mixed-methods study will be conducted across three countries. A questionnaire survey will seek responses from 1200 youth aged 15-24 years residing in South Australia, Ontario, Canada, and California, United States of America. The qualitative component of the study will comprise 54 focus groups (324 participants) with youth and their parents/caregivers. The study design allows a range of important phenomena (e.g., different migration pathways and settlement countries) and key questions (e.g., regarding the intersection of migration, settlement, and wellbeing) to be addressed. It also allows for generalizability of findings to be tested across different communities and countries. Findings will support recommendations for policy and practice and may be generalized to advance research with youth and their families. This study is one of the largest, most comprehensive studies of youth settlement.

An Australian rental housing conditions research infrastructure.

Each year the proportion of Australians who rent their home increases and, for the first time in generations, there are now as many renters as outright homeowners. Researchers and policy makers, however, know very little about housing conditions within Australia's rental housing sector due to a lack of systematic, reliable data. In 2020, a collaboration of Australian universities commissioned a survey of tenant households to build a data infrastructure on the household and demographic characteristics, housing quality and conditions in the Australian rental sector. This data infrastructure was designed to be national (representative across all Australian States and Territories), and balanced across key population characteristics. The resultant Australian Rental Housing Conditions Dataset (ARHCD) is a publicly available data infrastructure for researchers and policy makers, providing a basis for national and international research.

Performance-based incentives and community health workers' outputs, a systematic review.

OBJECTIVE: To review the evidence on the impact on measurable outcomes of performance-based incentives for community health workers (CHWs) in low- and middle-income countries. METHODS: We conducted a systematic review of intervention studies published before November 2020 that evaluated the impact of financial and non-financial performance-based incentives for CHWs. Outcomes included patient health indicators; quality, utilization or delivery of health-care services; and CHW motivation or satisfaction. We assessed risk of bias for all included studies using the Cochrane tool. We based our narrative synthesis on a framework for measuring the performance of CHW programmes, comprising inputs, processes, performance outputs and health outcomes. FINDINGS: Two reviewers screened 2811 records; we included 12 studies, 11 of which were randomized controlled trials and one a non-randomized trial. We found that non-financial, publicly displayed recognition of CHWs' efforts was effective in improved service delivery outcomes. While large financial incentives were more effective than small ones in bringing about improved performance, they often resulted in the reallocation of effort away from other, non-incentivized tasks. We found no studies that tested a combined package of financial and non-financial incentives. The rationale for the design of performance-based incentives or explanation of how incentives interacted with contextual factors were rarely reported. CONCLUSION: Financial performance-based incentives alone can improve CHW service delivery outcomes, but at the risk of unincentivized tasks being neglected. As calls to professionalize CHW programmes gain momentum, research that explores the interactions among different forms of incentives, context and sustainability is needed.

Partial Adaptation of Obtained and Observed Value Signals Preserves Information about Gains and Losses.

UNLABELLED: Given that the range of rewarding and punishing outcomes of actions is large but neural coding capacity is limited, efficient processing of outcomes by the brain is necessary. One mechanism to increase efficiency is to rescale neural output to the range of outcomes expected in the current context, and process only experienced deviations from this expectation. However, this mechanism comes at the cost of not being able to discriminate between unexpectedly low losses when times are bad versus unexpectedly high gains when times are good. Thus, too much adaptation would result in disregarding information about the nature and absolute magnitude of outcomes, preventing learning about the longer-term value structure of the environment. Here we investigate the degree of adaptation in outcome coding brain regions in humans, for directly experienced outcomes and observed outcomes. We scanned participants while they performed a social learning task in gain and loss blocks. Multivariate pattern analysis showed two distinct networks of brain regions adapt to the most likely outcomes within a block. Frontostriatal areas adapted to directly experienced outcomes, whereas lateral frontal and temporoparietal regions adapted to observed social outcomes. Critically, in both cases, adaptation was incomplete and information about whether the outcomes arose in a gain block or a loss block was retained. Univariate analysis confirmed incomplete adaptive coding in these regions but also detected nonadapting outcome signals. Thus, although neural areas rescale their responses to outcomes for efficient coding, they adapt incompletely and keep track of the longer-term incentives available in the environment. SIGNIFICANCE STATEMENT: Optimal value-based choice requires that the brain precisely and efficiently represents positive and negative outcomes. One way to increase efficiency is to adapt responding to the most likely outcomes in a given context. However, too strong adaptation would result in loss of precise representation (e.g., when the avoidance of a loss in a loss-context is coded the same as receipt of a gain in a gain-context). We investigated an intermediate form of adaptation that is efficient while maintaining information about received gains and avoided losses. We found that frontostriatal areas adapted to directly experienced outcomes, whereas lateral frontal and temporoparietal regions adapted to observed social outcomes. Importantly, adaptation was intermediate, in line with influential models of reference dependence in behavioral economics.

Considering evidence: The approach taken by the Hazardous Substances Advisory Committee in the UK.

The Hazardous Substances Advisory Committee (HSAC) provides expert advice to UK officials, Ministers and other relevant bodies on the protection of the environment, and human health via the environment, from potentially hazardous substances and articles. Hazardous substances are often the subject of controversy, on which individuals, and different groups in society, hold divergent views. This paper details the approach taken by HSAC when considering the evidence to provide advice on hazardous substances. Firstly HSAC reviews the range of evidence and determines its quality considering: transparency of aims, the methodology and results, completeness, independent review and accessibility. HSAC does not follow one explicit methodology as the wide range of hazardous substances we consider means they need to be addressed on a case by case basis. Most notably HSAC considers the evidence in the wider context, being aware of factors that influence individuals in their decision making when receiving a HSAC opinion e.g. trust in the source of the evidence, defensibility, conformity to a 'world view' and framing. HSACs also reflect on its own perspectives with the aim of addressing bias by the diversity of its membership. The Committee's intention, in adopting this rounded approach, is to reach opinions that are robust, relevant and defensible.

Neural mechanisms of observational learning.

Individuals can learn by interacting with the environment and experiencing a difference between predicted and obtained outcomes (prediction error). However, many species also learn by observing the actions and outcomes of others. In contrast to individual learning, observational learning cannot be based on directly experienced outcome prediction errors. Accordingly, the behavioral and neural mechanisms of learning through observation remain elusive. Here we propose that human observational learning can be explained by two previously uncharacterized forms of prediction error, observational action prediction errors (the actual minus the predicted choice of others) and observational outcome prediction errors (the actual minus predicted outcome received by others). In a functional MRI experiment, we found that brain activity in the dorsolateral prefrontal cortex and the ventromedial prefrontal cortex respectively corresponded to these two distinct observational learning signals.

Striatal BOLD Response Reflects the Impact of Herd Information on Financial Decisions.

Like other species, humans are sensitive to the decisions and actions of conspecifics, which can lead to herd behavior and undesirable outcomes such as stock market bubbles and bank runs. However, how the brain processes this socially derived influence is only poorly understood. Using functional magnetic resonance imaging (fMRI), we scanned participants as they made decisions on whether to buy stocks after observing others' buying decisions. We demonstrate that activity in the ventral striatum, an area heavily implicated in reward processing, tracked the degree of influence on participants' decisions arising from the observation of other peoples' decisions. The signal did not track non-human, non-social control decisions. These findings lend weight to the notion that the ventral striatum is involved in the processing of complex social aspects of decision making and identify a possible neural basis for herd behavior.

Herding, social influence and economic decision-making: socio-psychological and neuroscientific analyses.

Typically, modern economics has steered away from the analysis of sociological and psychological factors and has focused on narrow behavioural assumptions in which expectations are formed on the basis of mathematical algorithms. Blending together ideas from the social and behavioural sciences, this paper argues that the behavioural approach adopted in most economic analysis, in its neglect of sociological and psychological forces and its simplistically dichotomous categorization of behaviour as either rational or not rational, is too narrow and stark. Behaviour may reflect an interaction of cognitive and emotional factors and this can be captured more effectively using an approach that focuses on the interplay of different decision-making systems. In understanding the mechanisms affecting economic and financial decision-making, an interdisciplinary approach is needed which incorporates ideas from a range of disciplines including sociology, economic psychology, evolutionary biology and neuroeconomics.