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The postwar rebuilding effort carried out by the US in Iraq has been mediocre at best. Phillips, a government insider and leading authority on foreign policy analysis offers the first argument that there had indeed been a huge amount of planning for the postwar rebuilding effort that the government simply chose to ignore.

Housing instability for low-income renters has drawn greater attention recently, but measurement has limited research on policies to stabilize housing. Address histories from consumer reference data can be used to increase the quantity and quality of research on low-income renters. Consumer data track housing moves throughout the entire United States for most of the adult population. In this article, I show that such data can measure housing stability for groups with very low income and extreme instability. For example, the data can track housing moves during natural disasters, at demolition of public housing, for households at high risk of homelessness, and during gentrification. Consumer data can track housing instability outcomes that are more common than shelter entry and less expensive to collect than surveys. Relative to existing administrative address histories, consumer data allow researchers to track housing moves to exact addresses and across jurisdictions.

Builds upon current discourse about the expanding role of creativity and entrepreneurial studies and trends in higher education and in the public domain.

Researchers commonly measure discrimination by comparing responses to multiple fictional applicants sent to the same vacancy. I find evidence that these applications interact. Using data from several existing experiments, I find that applicants randomly assigned to compete against higher quality applicant pools receive more callbacks. In the presence of such spillovers, many experiments confound discrimination against an individual’s characteristics with employers’ responses to the composition of the applicant pool. Under one reasonable set of assumptions, adjusting for applicant pool composition increases measured discrimination by 30% on average. Avoiding experimental designs that stratify treatment assignment by vacancy can eliminate such confounding.

Increasing demand for better quality data and more investment to strengthen civil registration and vital statistics (CRVS) systems will require increased emphasis on objective, comparable, cost-effective monitoring and assessment methods to measure progress. We apply a composite index (the vital statistics performance index [VSPI]) to assess the performance of CRVS systems in 148 countries or territories during 1980–2012 and classify them into five distinct performance categories, ranging from rudimentary (with scores close to zero) to satisfactory (with scores close to one), with a mean VSPI score since 2005 of 0·61 (SD 0·31). As expected, the best performing systems were mostly in the European region, the Americas, and Australasia, with only two countries from east Asia and Latin America. Most low-scoring countries were in the African or Asian regions. Globally, only modest progress has been made since 2000, with the percentage of deaths registered increasing from 36% to 38%, and the percentage of children aged under 5 years whose birth has been registered increasing from 58% to 65%. However, several individual countries have made substantial improvements to their CRVS systems in the past 30 years by capturing more deaths and improving accuracy of cause-of-death information. Future monitoring of the effects of CRVS strengthening will greatly benefit from application of a metric like the VSPI, which is objective, costless to compute, and able to identify components of the system that make the largest contributions to good or poor performance.

When light propagates through opaque material, the spatial information it holds becomes scrambled, but not necessarily lost. Two classes of techniques have emerged to recover this information: methods relying on optical memory effects, and transmission matrix (TM) approaches. Here we develop a general framework describing the nature of memory effects in structures of arbitrary geometry. We show how this framework, when combined with wavefront shaping driven by feedback from a guide-star, enables estimation of the TM of any such system. This highlights that guide-star assisted imaging is possible regardless of the type of memory effect a scatterer exhibits. We apply this concept to multimode fibres (MMFs) and identify a ‘quasi-radial’ memory effect. This allows the TM of an MMF to be approximated from only one end - an important step for micro-endoscopy. Our work broadens the applications of memory effects to a range of novel imaging and optical communication scenarios. Imaging through scattering media is possible using a transmission matrix or the memory effect. Here, the authors describe the nature of optical memory effects in structures of arbitrary geometry and use this framework to estimate the transmission matrix of an optical fibre from just one end.

Background Although primary care models for the care of common non-communicable diseases (NCD) have been developed in sub-Saharan Africa, few have described an integrated, decentralized approach at the community level. We report the results of a four-year, Ethiopian project to expand this model of NCD care to 15 primary hospitals and 45 health centres encompassing a wide geographical spread and serving a population of approximately 7.5 million people. Methods Following baseline assessment of the 60 sites, 30 master trainers were used to cascade train a total of 621 health workers in the diagnosis, management and health education of the major common NCDs identified in a scoping review (hypertension, diabetes, chronic respiratory disease and epilepsy). Pre- and post-training assessments and regular mentoring visits were carried out to assess progress and remedy supply or equipment and medicines shortages and establish reporting systems. The project was accompanied by a series of community engagement activities to raise awareness and improve health seeking behaviour. Results A total of 643,296 people were screened for hypertension and diabetes leading to a new diagnosis in 24,313 who were started on treatment. Significant numbers of new cases of respiratory disease (3,986) and epilepsy (1,925) were also started on treatment. Mortality rates were low except among patients with hypertension in the rural health centres where 311 (10.2%) died during the project. Loss to follow up (LTFU), defined as failure to attend clinic for > 6 months despite reminders, was low in the hospitals but represented a significant problem in the urban and rural health centres with up to 20 to 30% of patients with hypertension or diabetes absenting from treatment by the end of the project. Estimates of the population disease burden enrolled within the project, however, were disappointing; asthma (0.49%), hypertension (1.7%), epilepsy (3.3%) and diabetes (3.4%). Conclusion This project demonstrates the feasibility of scaling up integrated NCD services in a variety of locations, with fairly modest costs and a methodology that is replicable and sustainable. However, the relatively small gain in the detection and treatment of common NCDs highlights the huge challenge in making NCD services available to all. Summary points There is a large body of literature recommending decentralisation of noncommunicable disease (NCD) care, but extremely few “real-world” examples at scale. Those that do are largely examples of NCD care limited to single diseases and in similar geographical or cultural settings. This project provides screening, enrolment and clinical outcomes data for fully integrated, multi-level NCD clinics across a wide geographical area in Africa’s second most populous nation. It is one of the first examples of scaled-up comprehensive care for all-comers with chronic noninfectious disease in rural and urban Ethiopia. The extra costs and effort involved in staff training, mentoring and community engagement are not inconsiderable for a modest gain in the detection and treatment of common NCDs. Its major limitation is that it is a “real-world” intervention and observational cohort, studied over a period constrained by a global pandemic and internal civil conflict. It uses routinely collected clinical data, limiting the ability to fully evaluate all relevant clinical outcomes.