Browsing by Author "Meyer, Michelle"
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Research Project Collaborative Research: Organizational Development, Operations, and New Media Among Civilian Flood-Rescue GroupsLandscape Architecture & Urban Planning; TAMU; https://hdl.handle.net/20.500.14641/218; National Science FoundationIn this project, the stability or formalization and growth of volunteer groups and the use of social media in these processes will be investigated. Specifically, processes of conducting volunteer flood rescues, factors that affect immediate decision-making during rescues, decisions about volunteer group development, and use of social media for rescuing and group development will be researched through intense interviewing and participation with rescuers. Disasters are unique opportunities to study social processes, and they are also becoming more frequent social problems. Disasters of recent years have introduced volunteer organizations supported by social media and new technologies. Limited scholarly research has studied this volunteer rescue movement, these volunteers, or these rescue operations. Findings will contribute to scholarly understanding of group formation and development and how this may be affected by new technologies. They also will contribute to public welfare by being integrated in courses such as on emergency management and hazard mitigation and recovery, and by being directly shared with organizations that do rescues as well as the broader emergency management and public communities. To address the research goal, ethnographic research will be conducted that includes participation with volunteer organizations that conduct rescues, 20-40 interviews with emergency management officials, 30-60 interviews with volunteer rescuers, and 20-30 interviews with persons rescued by civilian volunteers. Over the life of the project, this will involve training and traveling with volunteer organizations as they respond to disasters, such as the three to which these organizations responded in 2018, Hurricanes Florence and Michael and floods in Southeast Texas. Participation will be in three different roles: boat rescuer, dispatcher, and leadership coordination. In addition, available social media data and media articles will be collected and analyzed inductively. GIS technology will be used to analyze available geospatial data on rescue locations, which will be related to hazard data. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.Research Project Collaborative Research: Organizational Development, Operations, and New Media Among Civilian Flood-Rescue GroupsLandscape Architecture & Urban Planning; TAMU; https://hdl.handle.net/20.500.14641/218; National Science FoundationIn this project, the stability or formalization and growth of volunteer groups and the use of social media in these processes will be investigated. Specifically, processes of conducting volunteer flood rescues, factors that affect immediate decision-making during rescues, decisions about volunteer group development, and use of social media for rescuing and group development will be researched through intense interviewing and participation with rescuers. Disasters are unique opportunities to study social processes, and they are also becoming more frequent social problems. Disasters of recent years have introduced volunteer organizations supported by social media and new technologies. Limited scholarly research has studied this volunteer rescue movement, these volunteers, or these rescue operations. Findings will contribute to scholarly understanding of group formation and development and how this may be affected by new technologies. They also will contribute to public welfare by being integrated in courses such as on emergency management and hazard mitigation and recovery, and by being directly shared with organizations that do rescues as well as the broader emergency management and public communities. To address the research goal, ethnographic research will be conducted that includes participation with volunteer organizations that conduct rescues, 20-40 interviews with emergency management officials, 30-60 interviews with volunteer rescuers, and 20-30 interviews with persons rescued by civilian volunteers. Over the life of the project, this will involve training and traveling with volunteer organizations as they respond to disasters, such as the three to which these organizations responded in 2018, Hurricanes Florence and Michael and floods in Southeast Texas. Participation will be in three different roles: boat rescuer, dispatcher, and leadership coordination. In addition, available social media data and media articles will be collected and analyzed inductively. GIS technology will be used to analyze available geospatial data on rescue locations, which will be related to hazard data. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.Research Project COVID: RAPID: Disparities in Business and Nonprofit Impact and Recovery from Hurricane Harvey, COVID-19, and Hurricane LauraLandscape Architecture & Urban Planning; TAMU; https://hdl.handle.net/20.500.14641/218; National Science FoundationReducing the effects of disasters on businesses and nonprofits is growing in importance as disasters are more frequent. However, understanding of disaster impacts and recovery across a variety of organizational types is still relatively limited. For example, while disparities in recovery for organizations owned by women, veterans, or racial minorities have been observed, the underlying mechanisms are not well established. In addition, understanding of how businesses and nonprofits recover from multiple and cascading impacts (such as hurricanes followed by a pandemic followed by another hurricane) is also only beginning to develop. This Rapid Response Research (RAPID) project extends preliminary research conducted following Hurricane Harvey to examine disaster impacts, including cumulative impacts, and disparate recovery processes associated with the current pandemic and additional coastal storms along the Gulf Coast. Findings will have implications for improved strategies for organizational survival and recovery, provide evidence that can be used for coordinated outreach and educational programs to support organizational planning and adaptation, and enable cross-case research. This study integrates theory and findings from the disaster recovery literature with a social vulnerability perspective. The research team will geographically and conceptually expand beyond previous surveys and interviews of for-profit and nonprofit organizations after Hurricane Harvey, collecting data on organizational performance during COVID-19 and Hurricane Laura in Beaumont, TX, Port Arthur, TX, and Lake Charles, LA. The study will test how social vulnerability factors affect organizational impacts, survival, and recovery, controlling for resources, organizational characteristics, damage, and adaptive actions. It will also examine how disparities in organizational recovery propagate through multiple events, controlling for resources, organizational characteristics, damage, and adaptive actions. The team is uniquely poised to collect data quickly as it has conducted pre-disaster survey and sample verification in Beaumont and Port Arthur, tested survey methodology and best practices for this region, and has administered a previous multi-hazard survey that can be tailored for this context. This research team will work to gather data quickly in order to minimize survivor bias (i.e., before some of the vulnerable organizations fail and therefore are not represented in the study sample). Results will be relevant to the literature on cumulative disaster impacts and adaptation, social vulnerability, and organizational continuity. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.