Homonationalism

This article tracks Jasbir Puar's term “homonationalism” as its meaning has transformed in her scholarly work as well that of Maya Mikdashi. I argue that homonationalism has evolved from its original formulation as, in part, a critique of politics, into, in its current guise, a diagnostic of international political relations. Although this transition offers insight into the international scene, I argue that homonationalism also loses its distinctiveness as a political formation in its own right as well as its critical capacity in the process. In particular, I argue that homonationalism becomes incapable of critically evaluating activist strategies, practices and discourses of political resistance.     

Sequential Monte Carlo for rare event estimation

This paper discusses a novel strategy for simulating rare events and an associated Monte Carlo estimation of tail probabilities. Our method uses a system of interacting particles and exploits a Feynman-Kac representation of that system to analyze their fluctuations. Our precise analysis of the variance of a standard multilevel splitting algorithm reveals an opportunity for improvement. This leads to a novel method that relies on adaptive levels and produces, in the limit of an idealized version of the algorithm, estimates with optimal variance. The motivation for this theoretical work comes from problems occurring in watermarking and fingerprinting of digital contents, which represents a new field of applications of rare event simulation techniques. Some numerical results show performance close to the idealized version of our technique for these practical applications.     

Can Carbon Nanomaterials Improve CZTS Photovoltaic Devices? Evaluation of Performance and Impacts Using Integrated Life‐Cycle Assessment and Decision Analysis

In emergent photovoltaics, nanoscale materials hold promise for optimizing device characteristics; however, the related impacts remain uncertain, resulting in challenges to decisions on strategic investment in technology innovation. We integrate multi‐criteria decision analysis (MCDA) and life‐cycle assessment (LCA) results (LCA‐MCDA) as a method of incorporating values of a hypothetical federal acquisition manager into the assessment of risks and benefits of emerging photovoltaic materials. Specifically, we compare adoption of copper zinc tin sulfide (CZTS) devices with molybdenum back contacts to alternative devices employing graphite or graphene instead of molybdenum. LCA impact results are interpreted alongside benefits of substitution including cost reductions and performance improvements through application of multi‐attribute utility theory. To assess the role of uncertainty we apply Monte Carlo simulation and sensitivity analysis. We find that graphene or graphite back contacts outperform molybdenum under most scenarios and assumptions. The use of decision analysis clarifies potential advantages of adopting graphite as a back contact while emphasizing the importance of mitigating conventional impacts of graphene production processes if graphene is used in emerging CZTS devices. Our research further demonstrates that a combination of LCA and MCDA increases the usability of LCA in assessing product sustainability. In particular, this approach identifies the most influential assumptions and data gaps in the analysis and the areas in which either engineering controls or further data collection may be necessary.     

Load-Oriented Order Release (LOOR) revisited: bringing it back to the state of the art

In the workload control literature, the Load-Oriented Order Release (LOOR) approach has been neglected since its robustness was questioned at the end of the 1990s. This paper revisits LOOR and evaluates whether its performance can be improved in two ways. First, an intermediate pull release mechanism is added to avoid starvation between periodic release events. This mechanism was recently shown to be effective at improving the performance of a state-of-the-art release method known as LUMS COR. Second, an integer linear programming model is used to manage the trade-off between the timing and load balancing functions of order release. The two refinements are assessed using simulations of different shop configurations, which allow us to evaluate robustness. Results demonstrate that the refinements contribute to improving the performance of LOOR such that it can even outperform LUMS COR. Perhaps counter-intuitively, putting more emphasis on load balancing than on the urgency of individual orders is shown to lead to a lower percentage of tardy orders. Overall, the improvements mean that concerns about LOOR’s robustness are no longer valid – it now appears suitable for a wide range of shops found in practice.     

Gendered Leadership: The Effects of Female Development Agency Leaders on Foreign Aid Spending

This article examines the effects of gender on the leadership of bilateral development aid agencies, particularly their official development assistance (ODA) allocations toward gender‐related programming. Drawing on earlier research on gendered leadership, the article tests the hypothesis that female director generals (DGs) and ministers responsible for aid agencies will allocate more ODA than their male counterparts toward gender programming. This existing literature on gendered leadership is divided: some scholars argue that women and men have distinct leadership styles on account of their gender, while others argue that the only distinguishing factor is the institutional context in which they lead. Drawing on data collected on aid flows and agency leadership within the major Western aid donors of the Organisation for Economic Co‐operation and Development (OECD) Development Assistance Committee (DAC) over the period from 1995 through 2009, we use pooled time series analysis to examine the effects of gendered leadership on aid allocation. Our analysis reveals a tendency for female DGs and ministers to focus ODA on gender‐mainstreaming programs, while male DGs focus ODA on gender‐focused programs. We argue that these divergent priorities reflect the women's desire to reform gendered power structures within their respective aid agencies, and the men's desire to maintain existing gender power structures from which they benefit.     

Education,Skills, and Wage Gaps in Canada and the United States

We analyse data from the Programme for the International Assessment of Adult Competencies to reveal that immigrants in Canada and the United States make over $200 less per month than native‐born workers. In the United States, immigrants disproportionately work in low‐wage occupations, leading to large mean national differences between immigrants and native workers. The wage differential disappears after accounting for education and cognitive skills, indicating policies must focus on reducing education and skill gaps in the United States. In Canada, an immigrant wage gap persists in nearly all occupational fields, suggesting that the better skilled and educated immigrants in Canada are not receiving the same wage premium as native workers. We close with implications for policy and future research.     

Perception of Climate Risk among Rural Farmers in Vietnam: Consistency within Households and with the Empirical Record

Rural farmers in Vietnamese communes perceive climate risk and potential impacts on livelihood within a complex context that may influence individual and household decisions. In a primary survey of 1,145 residents of the Thach Ha district of Ha Tinh province, we gathered data regarding perception about stability in climate, potential risks to livelihood, demographic characteristics, orientation toward risk, and interest in expanding economic activity. Temporal analysis of meteorological and economic indicator data forms an empirical basis for comparison with human perception. We ask the basic question: Are rural farmers’ perceptions of climate consistent with the historical record and reproducible within households? We find that respondents do perceive climate anomalies, with some anchoring on recent extreme events as revealed by climate observational data, and further that spouses disproportionately share perceptions relative to randomly simulated pairings. To put climate‐related risk perception in a larger context, we examine patterns across a range of risks to livelihood faced by farmers (livestock disease, pests, markets, health), using dimension reduction techniques. We find that our respondents distinguish among potential causes of low economic productivity, with substantial emphasis on climate‐related impacts. They do not express uniform concern across risks, but rather average patterns reveal common modes and distinguish climate concern. Still, among those expressing concern about climate‐related risks to livelihood we do not find an association with expressed intention to pursue changes in economic activity as a risk management response.     

Improved cross-entropy method for estimation

The cross-entropy (CE) method is an adaptive importance sampling procedure that has been successfully applied to a diverse range of complicated simulation problems. However, recent research has shown that in some high-dimensional settings, the likelihood ratio degeneracy problem becomes severe and the importance sampling estimator obtained from the CE algorithm becomes unreliable. We consider a variation of the CE method whose performance does not deteriorate as the dimension of the problem increases. We then illustrate the algorithm via a high-dimensional estimation problem in risk management.