Getting Interdisciplinary Teams into the Field: Institutional Review Board Preapproval and Multi-Institution Authorization Agreements for Rapid Response Disaster Research

Weighing structural damage and social susceptibility: A decision-making tool to perform longitudinal studies of geographically large hazard events

Geographically large climatic hazard events are occurring more frequently, and with this increase, more research emphasis is being placed on their impact. However, a metrology for selecting which communities to survey following an event is not frequently discussed and as a result does not effectively incorporate all relevant disciplines in disaster research. This article provides a method for selecting communities for inclusion in field studies not only based on anticipated damage but also community-level social factors that show predictive power in long-term analyses. Due to the perishable nature of disaster data, this social metric and the field study decision tool were developed with the intent of being as rapidly implementable as possible while still providing insight regarding long-term post-event community trends. The community-level social metric was developed using a hindcasting technique for hazard events in the years 2011, 2012, and 2013. Thresholds for stability and decline were established for both the predicted and the actual community outcomes. Of the communities that the model predicted would recover, 73% recovered using the definition provided. Meanwhile 74% of the communities predicted to decline did indeed decline, again using the definition provided. To enhance operability of this social metric, a decision-making tool for community selection was also formalized and implemented in a field study conducted following the December 2021 quad-state tornado outbreak in the United States. The lessons learned from this first implementation were used to inform a refined version of the decision-making tool that is presented herein.

Defining, collecting, and sharing perishable disaster data

Researchers across disciplines have long sought to collect 'perishable data' in the context of disasters. Yet, this data type is neither consistently defined nor discussed in specific detail in the literature. To address this gap, this paper defines perishable data and provides guidance on ways to improve both how it is collected and shared. Here, perishable data is conceptualised as highly transient data that may degrade in quality, be irrevocably altered, or be permanently lost if not gathered soon after it is generated. Perishable data may include ephemeral information that must be collected to characterise pre-existing hazardous conditions, near-miss events, actual disasters, and longer-term recovery processes. This data may need to be gathered at multiple points in time across varying geographic scales to accurately characterise exposure, susceptibility to harm, or coping capacity. The paper considers ethical and logistical challenges and discusses opportunities to advance equitable perishable data collection and dissemination.

Enhancing Reciprocity, Equity and Quality of Ethics Review for Multisite Research During Public Health Crises: The Experience of the COVID-19 Clinical Research Coalition Ethics Working Group

In this paper we report findings from a commissioned report to the COVID-19 Clinical Research Coalition on approaches to streamline multinational REC review/approval during public health emergencies. As currently envisioned in the literature, a system of REC mutual recognition is theoretically possible based on shared procedural REC standards, but raises numerous concerns about perceived inequities and mistrust.

Rapid human subjects research in times of disruption

One significant challenge facing the implementation of rapid research studies, or research that responds quickly to societal needs, involves the recruitment and retention of human subjects research participants. The purpose of this paper is to offer insights into the nuances of conducting rapid research during times of disruption. The first-hand accounts of participants experiencing disruption are critical and perishable. Although it may be difficult to recruit and retain participants, their data are needed to best understand and learn from novel, unprecedented situations. To this end, the authors draw from and analyze their experience conducting rapid research funded by the National Science Foundation to examine the effects of the COVID-19 pandemic on undergraduate education. The paper begins with a summary of the rapid project aims and research questions. Then, participant recruitment and retention challenges are briefly introduced as an advanced organizer of the paper. From there, the paper is structured in three sections that represent the human subjects research challenges faced during rapid study implementation. In the discussion, the authors summarize the above challenges and lessons learned in the larger context of rapid research. They reflect on a sometimes-forgotten issue: the wellbeing of research team members who face these and other salient challenges reflective of navigating life during a worldwide pandemic. By describing human subjects research challenges experienced in the implementation of a rapid study and lessons learned from experiencing and adapting to these challenges, this paper contributes meaningful insights into the daily challenges of carrying out rapid research.