CONVERGE Training Modules: A free online educational tool for hazards and disaster researchers and practitioners

Adams, Rachel M.; Evans, Candace

doi:10.3389/fbuil.2023.1096204

Cited by 3 publications

(1 citation statement)

References 19 publications

(28 reference statements)

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“…In recognition of this need, the National Science Foundation-funded CONVERGE facility is dedicated to democratising educational opportunities and the research process through education and training for researchers. CONVERGE offers a series of free, online training modules to help students, researchers, and practitioners quickly learn about issues and topics related to hazards and disaster research (Peek et al, 2020b;Evans, Adams, and Peek, 2021b;Adams et al, 2022;Adams, Evans, and Peek, 2023). The CONVERGE Collecting and Sharing Perishable Data Training Module, for example, was developed with the support of the CDC and discusses challenges to and opportunities for collecting and sharing perishable hazards and disaster data (Evans, Adams, and Peek, 2021a).…”

Section: Future Directionsmentioning

confidence: 99%

Defining, collecting, and sharing perishable disaster data

Adams

Evans

2023

Disasters

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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.

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Section: Future Directionsmentioning

confidence: 99%

Defining, collecting, and sharing perishable disaster data

Adams

Evans

2023

Disasters

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Convergence Research and Training in Computational Bioengineering: A Case Study on AI/ML-Driven Biofilm–Material Interaction Discovery

Zylla,

Bomgni,

Sani

et al. 2024

Biomed Eng Education

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Historically, research disciplines have successfully operated independently. However, the emergence of transdisciplinary research has led to convergence methodologies, resulting in groundbreaking discoveries. Despite the benefits, graduate programs face challenges in implementing transdisciplinary research and preparing students for real-world collaboration across diverse disciplines and experience levels. We propose a convergence training framework integrating project-based learning, training modules, and collaborative teaming to address this. This approach, tested in a multi-institutional workshop, proved effective in bridging expertise gaps and fostering successful convergence learning experiences in computational biointerface (material–biology interface) research. Here, biointerface research focuses on control of biomolecular interactions with technologically relevant material surfaces, which is a critical component of biotechnology and engineering applications. Positive outcomes, including conference presentations and published models, endorse the framework's application in graduate curricula, particularly for students engaging in transdisciplinary collaboration.

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Theory of change: community engagement as an intervention to create disaster resilience

Sutley

Lyles

2023

Front. Built Environ.

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Community resilience is a compelling problem that brings together many disciplines of study. Too often researchers wait until the end of research projects to disseminate findings, and may not include any intentional efforts toward technology translation. Convergence, and particularly the technology transfer aspects of convergence, should be a central goal for resilience research. This paper presents a theory of change proposing community engagement as the intervention needed for realizing actual community resilience. Three illustrative examples simultaneously demonstrate the need for the intervention and are used to provide guidance to researchers interested in learning how to engage. The first example illustrates investigator-driven research via post-hurricane reconnaissance coupled with experimental testing in a wind laboratory. The first example exemplifies technology transfer through regulatory changes. The second example illustrates community-based research via a post-tornado reconnaissance study, and exemplifies technology transfer through industry and outreach publications and public media. The third example illustrates community-driven research that developed a local climate plan, and incorporated the co-production of knowledge. The research translated throughout the project due to the community engaged approach leading to immediate adoption of the final research outcomes. Findings from this paper can be used to help other researchers determine the level of community involvement and navigate technology transfer options based on the goals and context of their own research.

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CONVERGE Training Modules: A free online educational tool for hazards and disaster researchers and practitioners

Cited by 3 publications

References 19 publications

Defining, collecting, and sharing perishable disaster data

Defining, collecting, and sharing perishable disaster data

Convergence Research and Training in Computational Bioengineering: A Case Study on AI/ML-Driven Biofilm–Material Interaction Discovery

Theory of change: community engagement as an intervention to create disaster resilience

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