Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria

Population and Environment - After a disaster, there is an urgent need for information on population mobility. Our analysis examines the suitability of Twitter data for measuring post-disaster...     

Thinking outside the box by looking inside the box: Extending the cognitive revolution in leadership research

Follower and leader cognitions play critical roles in many organizational phenomena. In this review, we report and reflect on a decade of cognitive leadership research. Following a brief introduction, the review is divided into two sections—one devoted to individual and dyadic cognition, and the other to collective cognition. We identified three central themes for each section. For individual and dyadic cognition, we identified metacognitive processes and leadership, implicit leadership theories (ILTs), and network based models of ILTs as central themes. For collective cognition, we identified charisma, organizational performance and sensemaking, and transformation and change as central themes. Our goal in this review was to uncover important underlying assumptions of selected studies to illuminate more clearly the path of cognitive leadership research over the past 10 years and its potential paths over the next ten years.     

Disaster disparities and differential recovery in New Orleans

The historical disparities in the socio-demographic structure of New Orleans shaped the social vulnerability of local residents and their responses to Hurricane Katrina and its aftermath. These disparities, derived from race, class, gender, and age differences, have resulted in the uneven impact of the catastrophe on various communities in New Orleans, and importantly, their ability to recover. This article examines how the pre-existing social vulnerabilities within New Orleans interacted with the level of flood exposure to produce inequities in the socio-spatial patterns of recovery. Utilizing a combination of statistical and spatial approaches, we found a distinct geographic pattern to the recovery suggesting that the social burdens and impacts from Hurricane Katrina are uneven—the less flooded and less vulnerable areas are recovering faster than tracts with more vulnerable populations and higher levels of flooding. However, there is a more nuanced story, which suggests that it is neighborhoods in the mid-range of social vulnerability where recovery is lagging. While private resources and government programs help groups in the high and low categories of social vulnerability, the middle group shows the slowest rates of recovery. Further, it appears that the congressionally funded State of Louisiana Road Home Program (designed to provide compensation to Louisiana’s homeowners who suffered impacts by Hurricanes Katrina and Rita for the damage to their home) is not having a significant effect in stimulating recovery within the city.     

A Method for Generating High-Dimensional Multivariate Binary Variates

Examples are given of the need for simulating correlated binary variates with different given marginal expectations and pairwise correlations. An algorithm is then presented for generating such variates. The algorithm may be used to generate variates of any dimension.