Accounting has a critical role in the "modernisation" of public management practices, a phenomenon marked by decentralisation of public management affairs and increased use of indirect control mechanisms, most of which adopted from private sector practices. While such reform is believed to improve the efficiency of public management programmes, studies suggest that the reform has unintended consequences such as demoralisation and decrease in democratic legitimacy. However, studies regarding the processes by which such reform is implemented and the consequences that entail are mostly drawn from industrialised countries context, mainly Anglo-Saxon world. Meanwhile, other contexts are needed to be studied as there may be less strong influence of the market forces within the public sector, stronger influence of bureaucratic institution, and especially in the developing world, strong influence of discourses about "development". This research proposes to study one of such variants by analysing the process by which such reform develops and is carried out in developing world context, particularly the context of Indonesia's village governance reforms that have been in effect since 2014 Village Law was passed. This context is unique as the implementation of participatory village government is accompanied by continuation of pre-existing bureaucratic hierarchy, performance rankings, and performance-based allocation of transfers.

Schizophrenia and psychotic illness affects approximately 1% of individuals; those diagnosed are often unable to function normally within society, as current treatment options are limited in their effectiveness. Schizophrenia causes hallucinations and delusions which profoundly impact the individual's wellbeing, causing huge suffering for patients and families. Although some progress has been made in terms of understanding risk factors and how the brain is affected in schizophrenia, we are still far from certain about what causes it. Modern brain scanning techniques such as Magnetic Resonance Imaging (MRI) have been used to study how the structure of the brain differs in schizophrenia, and much research time and money has been invested in this. However, most of this research has been conducted by individual research groups on relatively small numbers of patients. Schizophrenia symptoms vary a lot between individuals, so we need to run investigations across large numbers of brain scans in order to draw reliable conclusions. Also, we need to consider all stages of the disease, and also consider brain structural differences in individuals at high risk, such as those with a family history of schizophrenia. This will allow us to understand what changes occur in the brain, to cause the highly debilitating symptoms of psychosis. To achieve this, we need to combine data from a large number of previous brain scanning studies, so all researchers can access and conduct analyses on a large collection of brain scans drawn from a wide range of different people. To address these challenges we propose to combine existing MRI scans collected by researchers worldwide into one freely available database resource (Psy-ShareD). The scans will be anonymised meaning that patients won't be able to be identified. The brain scans will have other information linked to them such as symptom information and also results of memory/attention tests, which will help researchers understand more about how the brain is affected in psychosis. The database will provide an essential resource for many researchers who study schizophrenia and will allow others to undertake new research. It is sorely needed, as currently, no database of this type exists in the UK or internationally. Psy-ShareD will be accessible to all researchers around the world, guidance and instructional materials will also be made available, to help novice users in particular. We will involve people who have experienced psychosis when planning this research. We will seek their advice in the best way to ensure the privacy of patients whose data is included in the database, the best way to use the database and also how to promote the database to other researchers and patients. Psy-ShareD has large potential to impact research, by allowing researchers at all institutions, and at all career stages, to analyse high-quality data across disease stages. This will lead to important insights and progress in understanding what occurs in the brain in patients with psychosis. In addition to the initial 2,500 MRI scans used to establish Psy-ShareD, we will actively seek out other researchers willing to donate their MRI data in the UK and overseas. We will specifically seek MRI data from international contacts and collaborators that can provide relevant MRI datasets in non-European populations, to ensure Psy-ShareD is more representative. Also, we will undertake a range of promotional activities, and make use of social media channels, to maximise visibility and uptake. We want to make sure that all interested researchers know about Psy-ShareD, ensuring this new and valuable resource gets fully utilised.

We have known, since at least the early twentieth century, that there is an association between living in a city and being diagnosed with a mental illness. But questions around the specificity of relationship between urban life and have continued well into the twenty-first century. We still don't know, for example, exactly why mental illness clusters in cities; we don't know how it relates to experiences of urban poverty, deprivation, overcrowding, social exclusion, and racism; and we don't know the precise biological and sociological mechanisms that turn difficult urban lives into diagnosable mental health conditions. What we *do* know is that migrants into cities bear a disproportionately large share of the burden of urban mental illness; we know that dense living conditions seem to exacerbate the problem; and we know that the general stress, tumult and precarity of urban living can, sometimes, create the basis for the development of clinical problems. If there are unanswered questions around the relationship between mental health and the city, these questions are particularly acute in contemporary China: China has urbanised at an unprecedented rate in the last decade, and has now become a majority urban society. But whereas in nineteenth-century Europe urbanization came from a growth in population, in twenty-first century China the situation is different: most of the growth is from rural migrants coming into the cities. In China, then, the link between urban transformation and mental illness is a critical issue: (1) Development in China is related to migration from the countryside into the cities; (2) Unrecognized and untreated mental disorder is a key factor in casting individuals and families into poverty and social exclusion; (3) Effective development of urban mental health policu requires far greater understanding of the related problems of urban stress, precarious living conditions and mental disorder This project is an attempt to understand the relationship between migration and mental health in one Chinese mega-city: Shanghai. Given what we know about the relationship between urban mental health and particular patterns of social life (poverty, migration, dense housing, and so on), it starts from the position that this question requires new input from the social sciences. At the heart of the project is an attempt to mix what we know about mental health in contemporary Shanghai with a new kind of close-up, street-level data on what the daily experience of being a migrant on Shanghai is actually life - especially with regard to stress, housing, and access to services. We will then connect these two forms of knowledge to produce a new kind of survey for getting a new sociological deep surveying instrument for mapping migrant mental health in Shanghai. The project, which is split between researchers in the UK and China, asks: (1) How is mental disorder actually patterned in Shanghai, and how is that pattern affected by recent migration? (2) How are immigrants absorbed in Shanghai, and what is daily life actually like in Shanghai's migrant communities? (3) What policies, services, or laws might alleviate mental health among migrants in Shanghai? (4) What can be learned in Shanghai for similar problems in other developing mega-cities (such as Sao Paolo or Lagos). This project should also us to also produce new data on two of the major research-areas that are prioritised under this join UK-China research-scheme: 'Migration and public services,' where we will look at the relationship between the welfare system and migration, and analyse the services that currently help to alleviate this problem, as well as migrants' access to those services; (2) 'Inequalities and everyday life,' where we will develop a close-up, street-level analysis of the lived inequalities of everyday migrant life in Shanghai, and try to understand how urban inequality might contribute to the development of mental health problems?