Disentangling water governance in Dar es Salaam: the role of NGOs and community water provision

This thesis aims to provide a contemporary account of the Dar es Salaam’s water sector as well as the role of the myriad stakeholders involved in it, taking into account the complexity history of the city’s water governance. As a rapidly growing city over recent years, the infrastructure of Dar es Salaam’s municipal system has not been updated for a significant period of time. As such, the areas served by this system face intermittent and piecemeal coverage whereas other large sections of the city are forced to come up with alternative, often expensive water resources that are unreliable and at times, unsafe. This thesis attempts to explore the lived realities of the individuals who reside in these unserved areas, and the ways in which community-based organisations and non-governmental organisations (NGOs) play a role in the city’s water sector. Through analysis of community-level water provision schemes in two case study areas of Dar es Salaam, this research provides a thorough account of the ways in which water resources are managed, debated and utilised at the local level and the challenges faces by these local organisations. In addition, through an observational research at two local NGOs working in the water sector in Dar es Salaam, this research examines these organisations’ place within the city’s broader water governance framework, as well as how they operate and prioritise their day to day work and their outputs. This research also takes into account the national and international policy environment, as well as the ways in which Tanzania’s socio- political history has influenced the current means of water governance. Through an exploration of the prevalent discourses in policy creation and implementation and the aforementioned stakeholders in the water sector, this thesis examines the multitude of influences on Dar es Salaam’s water governance, as well as the tensions that arise between rhetoric and reality, and the impacts these have upon its citizens

Ophthalmic and clinical factors that predict four-year development and worsening of diabetic retinopathy in type 1 diabetes

To investigate the role of ophthalmic imaging markers - namely retinal thickness measures and corneal nerve morphology - in predicting four-year development and worsening of diabetic retinopathy (DR) in type 1 diabetes (T1DM).126 eyes of 126 participants with T1DM were examined at baseline and after four years. Diabetic retinopathy (DR) was graded using the Early Treatment Diabetic Retinopathy Study scale. HbA1c, nephropathy, neuropathy, cardiovascular factors, and retinal thickness using optical coherence tomography (OCT) and corneal nerve fiber length (CNFL) using corneal confocal microscopy at baseline were assessed by univariate and step-wise multiple logistic regression, and their diagnostic capabilities for single and combined measures.Four-year development of DR was 19% (13 of 68 without DR at baseline). Worsening of DR was seen in 43% (25 of 58 with DR at baseline). When adjusted for potential confounders, a lower CNFL (AUC=0.637, p=0.040, 64% sensitivity and 64% specificity at 14.9mm/mm(2) cut-off), higher triglycerides (AUC=0.669, p=0.012, 64% sensitivity, 62% specificity at 0.85mmol/L) and an elevated vibration threshold (AUC=0.708, p=0.002, 96% sensitivity, 40% specificity at 3.55Hz) were significant predictors for four-year worsening of DR.Reduced CNFL, elevated vibration perception threshold and higher triglycerides can predict future worsening of DR

Dissecting a Zombie:Joint Analysis of Density and Resistivity Models Reveals Shallow Structure and Possible Sulfide Deposition at Uturuncu Volcano, Bolivia

The recent identification of unrest at multiple volcanoes that have not erupted in over 10 kyr presents an intriguing scientific problem. How can we distinguish between unrest signaling impending eruption after kyr of repose and non-magmatic unrest at a waning volcanic system? After ca. 250 kyr without a known eruption, in recent decades Uturuncu volcano in Bolivia has exhibited multiple signs of unrest, making the classification of this system as “active”, “dormant”, or “extinct” a complex question. Previous work identified anomalous low resistivity zones at <10 km depth with ambiguous interpretations. We investigate subsurface structure at Uturuncu with new gravity data and analysis, and compare these data with existing geophysical data sets. We collected new gravity data on the edifice in November 2018 with 1.5 km spacing, ±15 μGal precision, and ±5 cm positioning precision, improving the resolution of existing gravity data at Uturuncu. This high quality data set permitted both gradient analysis and full 3-D geophysical inversion, revealing a 5 km diameter, positive density anomaly beneath the summit of Uturuncu (1.5–3.5 km depth) and a 20 km diameter arc-shaped negative density anomaly around the volcano (0.5–7.5 depth). These structures often align with resistivity anomalies previously detected beneath Uturuncu, although the relationship is complex, with the two models highlighting different components of a common structure. Based on a joint analysis of the density and resistivity models, we interpret the positive density anomaly as a zone of sulfide deposition with connected brines, and the negative density arc as a surrounding zone of hydrothermal alteration. Based on this analysis we suggest that the unrest at Uturuncu is unlikely to be pre-eruptive. This study shows the value of joint analysis of multiple types of geophysical data in evaluating volcanic subsurface structure at a waning volcanic center

Dataset of Escherichia coli O157 : H7 genes enriched in adherence to spinach root tissue

A high-throughput positive-selection approach was taken to generate a dataset of Shigatoxigenic Escherichia coli (STEC) O157:H7 genes enriched in adherence to plant tissue. The approach generates a differential dataset based on BAC clones enriched in the output, after adherence, compared to the inoculum used as the input. A BAC clone library derived from STEC isolate 'Sakai' was used since this isolate is associated with a very large-scale outbreak of human disease from consumption of contaminated fresh produce; white radish sprouts. Spinach was used for the screen since it is associated with STEC outbreaks, and the roots provide a suitable site for bacterial colonisation. Four successive of rounds of Sakai BAC clone selection and amplification were applied for spinach root adherence, in parallel to a non-plant control. Genomic DNA was obtained from a total of 7.17 x 108 cfu/ml of bacteria from the plant treatment and 1.13 x 109 cfu/ml of bacteria from the no-plant control. Relative gene abundance of the output compared to the input pools was obtained using an established E. coli DNA microarray chip for STEC. The dataset enables screening for genes enriched under the treatment condition and informs on genes that may play a role in plant-microbe interactions

‘IDEAS’ : Developing a ‘travelling companion’ model of inclusive curriculum development

Inclusive curriculum development in Higher Education is increasingly witnessing the development of institutional inclusive curriculum frameworks and toolkits. This short paper introduces one such framework recently developed at a modern university in the South East of England. The IDEAS model (Inclusive learning and teaching, Digital inclusion, Employability learning, assessment for learning, Sustainability mindset) involves a range of distinctive features in both design and scope, and was likewise co-created by colleagues working in the educational development and access and participation domains of academic practice. In a discussion structured by the stages of a traditional quest narrative, the paper relates the genesis, development and early implementation of the IDEAS model and draws attention to some of its distinctive emphases as well as its points of correspondence with wider sectoral initiatives on inclusive curriculum development

Identifying and testing adaptive management options to increase river catchment system resilience using a Bayesian Network model

The cumulative impacts of future climatic and socioeconomic change threaten the ability of freshwater catchments to provide essential ecosystem services. Stakeholders who manage freshwaters require decision-support tools that increase their understanding of catchment system resilience and support the appraisal of adaptive management options to inform decision-making. Our research aims to test the ability of a Bayesian Network model to identify adaptive management scenarios and test their effectiveness across future pathways to 2050. Using the predominantly arable river Eden catchment (320 km2) in eastern Scotland as a case study, we invited stakeholders from multiple sectors to participate in a series of workshops aimed at addressing water quality issues and achieving good ecological status in the catchment both now and in the future. Our participatory methods helped stakeholders overcome multiple layers of complexity and uncertainty associated with future-focused water management. Outputs of a Bayesian Network model simulated both current and future catchment resilience to inform the identification of six management scenarios. The effectiveness of each management scenario was tested using the Bayesian Network model. Two adaptive management scenarios increased catchment resilience and helped achieve good ecological status; a ‘Best Available Technology’ scenario, including aerobic granular sludge treatment, and a management scenario focused on ‘Resource Centre’, including phosphorus recovery from wastewater treatment works and constructed lagoons for crop irrigation. Stakeholders were interested in a 'Nature Based' management scenario including options such as wetland wastewater treatment methods and rural sustainable drainage systems, which improved water quality in the catchment, but had lower certainty in achieving desired outcome. Findings led to a recognition that innovative and collaborative action was required to improve current and future freshwater conditions

Opening access to administrative data for evaluating public services: the case of the Justice Data Lab

As government administrative data sets are increasingly made available for new (non-administrative) purposes, there is a need to improve access to such resources for voluntary and community organizations, social enterprises and private businesses for statistical analysis and evaluation purposes. The Justice Data Lab set up by the Ministry of Justice in the UK presents an innovative case of how administrative data can be linked to other data held by organizations delivering public services. The establishment of a unit within a secure setting holding evaluation and statistical expertise has enabled providers of programmes aimed at reducing re-offending to obtain evidence on how the impact of their interventions differs from that of a matched comparison group. This article explores the development of the Justice Data Lab, the methodological and other challenges faced, and the experiences of user organizations. The article draws out implications for future development of Data Labs and the use of administrative data for the evaluation of public services

Land Ownership Change in Rural NSW: Riverina Transect Report

The Riverina transect report is an output from the Australian Research Council Linkage Project ‘The impacts of land ownership change on rural social and economic change’ (LP170101125) undertaken by the University of Sydney in partnership with the NSW Department of Primary Industries. Research reported here has the approval of the University of Sydney Human Research Ethics Committee (Protocols 2018/020 and 2019/749). This report is one of four transect reports covering different regions of NSW. The aim of the broader project is to identify and explain key trends in the spatial and temporal patterns of changes in the ownership of land in rural NSW. The core component for achieving this objective is the construction of a unique, research-ready, spatially informed database that records and maps every land transaction in rural NSW over the 16-year period from January 2004 to January 2020

Patient and public involvement to inform priorities and practice for research using existing healthcare data for children’s and young people’s cancers

Background: In the United Kingdom, healthcare data is collected on all patients receiving National Health Service (NHS) care, including children and young people (CYP) with cancer. This data is used to inform service delivery, and with special permissions used for research. The use of routinely collected health data in research is an advancing field with huge potential benefit, particularly in CYP with cancer where case numbers are small and the impact across the life course can be significant. Patient and public involvement (PPI) exercise aims: Identify current barriers to trust relating to the use of healthcare data for research. Determine ways to increase public and patient confidence in the use of healthcare data in research. Define areas of research importance to CYP and their carers using healthcare data. // Methods: Young people currently aged between 16 and 25 years who had a cancer diagnosis before the age of 20 years and carers of a young person with cancer were invited to take part via social media and existing networks of service users. Data was collected during two interactive online workshops totalling 5 h and comprising of presentations from health data experts, case-studies and group discussions. With participant consent the workshops were recorded, transcribed verbatim and analysed using thematic analysis. // Results: Ten young people and six carers attended workshop one. Four young people and four carers returned for workshop two. Lack of awareness of how data is used, and negative media reporting were seen as the main causes of mistrust. Better communication and education on how data is used were felt to be important to improving public confidence. Participants want the ability to have control over their own data use. Late effects, social and education outcomes and research on rare tumours were described as key research priorities for data use. // Conclusions: In order to improve public and patient trust in our use of data for research, we need to improve communication about how data is used and the benefits that arise