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Ethics standards reference the need for special consideration of vulnerable populations, such as pregnant women, incarcerated individuals, and minors. The concept of vulnerability is poorly conceptualized in the medical sciences where it originated, and its application to the social sciences is even more challenging. Social science researchers may unwittingly fail to appreciate preexisting vulnerabilities and indeed may be responsible for inducing new research-related vulnerability. In this paper, we present the first comprehensive coding of country-level vulnerability designations. Specifically, we coded all 355 official documents governing social/behavioral human subjects research for the 107 countries with such regulations and identified 68 distinct vulnerability categories. The data reveal substantial regional variation, overemphasis of categories derived from medical sciences, neglect of critical categories such as displacement, and likely heterogeneity within and across groups. The article provides a conceptual framework that shifts the problem away from static, enumerated categories toward emphasis on research-induced vulnerability. Based on our conceptualization and coding, we present a framework for assessing vulnerability and implementing appropriate protections. [ABSTRACT FROM AUTHOR]

The article discusses the need of departments and colleges to recognize and reward faculty engaged in their efforts, and mentions taskforce created by the Government Department of the University of Texas to identify challenges of the department in respect to diversity and inclusion.

Through a field experiment and audit study, we test how the electoral calendar affects the use of local economic development policies. We explore how electoral timing along with local political institutions and party composition affect local governments' offers of investment incentives to outside firms. We legally incorporated a consultancy and, on behalf of a real investor in manufacturing, approached roughly 3,000 U.S. municipalities with inquiries. The main experimental results show no greater tendency to offer incentives for investment anticipated prior to than after elections—a null result that is estimated with high precision. Limiting the sample to municipalities that specialize in manufacturing, the relevant subgroup, suggests that election timing matters in this most likely set of locales. Some observational findings include additional evidence on how direct elections of executives and partisanship correlate with incentive offers. [ABSTRACT FROM AUTHOR]

The Open Aid Malawi initiative has collected an unprecedented database that identifies as much location-specific information as possible for each of over 2500 individual foreign aid donations to Malawi since 2003. The efficient use and distribution of such aid is important to donors and to Malawi citizens. However, because of individual donor goals and difficulty in tracking donor coordination it is difficult to determine whether aid allocation is efficient. We compare several Bayesian spatial generalized linear mixed models to relate aid allocation to various economic indicators within seven donation sectors. We find that the spatial gamma regression model best predicts current aid allocation. While we are cautious about making strong claims based on this exploratory study, we provide a methodology by which one could (i) evaluate the efficiency of aid allocation via a study of the locations of current aid allocation as compared to the need at those locations and (ii) come up with a strategy for efficient allocation of resources in conditions where there exists an ideal relationship between aid allocation and economic sectors. [ABSTRACT FROM AUTHOR]

Most research in developed countries on prejudice toward foreign-born minorities suggests that cultural rather than economic threat motivates xenophobia. Prior studies leave unanswered questions about the origins of anti-immigrant prejudice in developing countries, where one-third of worldwide immigration occurs. Alternatively, developing-country research simply assumes that economic threat drives prejudice in the global South but has not presented credible empirical evidence. In this study, we seek to reliably measure anti-immigrant prejudice and examine possible determinants of prejudice and prejudice-based voting behavior. Through a list experiment conducted on a random sample of South Africans (N = 1,088), we investigate the predictive power of economic threat theory in explaining prejudice toward immigrants in South Africa. The results show that significant prejudice toward immigrants exists among South Africans and that such prejudice is higher among the unemployed, but these sentiments do not seem to influence vote choice. The evidence suggests that the determinants of anti-immigrant sentiments due to South-South migration are distinct from South-North migration. [ABSTRACT FROM AUTHOR]