Volume 3 Issue 1

View Full Issue

Volume 2 Issue 2

View Full Issue

Volume 1 Issue 1

View Full Issue 

A growing number of countries have established programs to attract immigrants who can contribute to their economy. Research suggests that an immigrant's initial arrival location plays a key role in shaping their economic success. Yet immigrants currently lack access to personalized information that would help them identify optimal destinations. Instead, they often rely on availability heuristics, which can lead to the selection of sub-optimal landing locations, lower earnings, elevated outmigration rates, and concentration in the most well-known locations. To address this issue and counteract the effects of cognitive biases and limited information, we propose a data-driven decision helper that draws on behavioral insights, administrative data, and machine learning methods to inform immigrants' location decisions. The decision helper provides personalized location recommendations that reflect immigrants' preferences as well as data-driven predictions of the locations where they maximize their expected earnings given their profile. We illustrate the potential impact of our approach using backtests conducted with administrative data that links landing data of recent economic immigrants from Canada's Express Entry system with their earnings retrieved from tax records. Simulations across various scenarios suggest that providing location recommendations to incoming economic immigrants can increase their initial earnings and lead to a mild shift away from the most populous landing destinations. Our approach can be implemented within existing institutional structures at minimal cost, and offers governments an opportunity to harness their administrative data to improve outcomes for economic immigrants.

Time is the backdrop of historical inquiry, yet it is much more than a featureless setting for events. Different temporalities interact dynamically; sometimes they coexist tensely, sometimes they clash violently. In this innovative volume, editors Dan Edelstein, Stefanos Geroulanos, and Natasha Wheatley challenge how we interpret history by focusing on the nexus of two concepts—“power” and “time”—as they manifest in a wide variety of case studies. Analyzing history, culture, politics, technology, law, art, and science, this engaging book shows how power is constituted through the shaping of temporal regimes in historically specific ways. Power and Time includes seventeen essays on human rights; sovereignty; Islamic, European, Chinese, and Indian history; slavery; capitalism; revolution; the Supreme Court; the Anthropocene; and even the Manson Family. Power and Time will be an agenda-setting volume, highlighting the work of some of the world’s most respected and original contemporary historians and posing fundamental questions for the craft of history.

Nearly 120 million children in 37 countries are at risk of missing their measlescontaining vaccine (MCV) shots this year, as preventive and public health campaigns take a back seat to policies put in place to contain coronavirus disease 2019 (COVID-19). In March, the World Health Organization (WHO) issued guidelines indicating that mass vaccination campaigns should be put on hold to maintain physical distancing and minimize COVID-19 transmission. The disruption of immunization services, even for short periods, will lead to more susceptible individuals, more communities with less than the 95% MCV coverage needed for herd immunity, and therefore more measles outbreaks globally. A mere 15% decrease in routine measles vaccinations—a plausible result of lockdowns and disruption of health services—could raise the burden of childhood deaths by nearly a quarter of a million in poorer countries. Solutions for COVID-19, especially among the global poor, cannot include forgoing vaccinations.