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Organizations and communities learn by collecting information both from their direct, experiences and by observing others. Information is translated into knowledge, which is disseminated and used to inform subsequent planning, decisions and actions. Among the experiences and observations of organizations and communities that can be translated into knowledge are crises and disasters, including infections disease outbreaks, water contamination events and natural disasters. Organizational and community learning occurs when knowledge generated in response to crises is applied and when previous events serve as the basis for informing responses to an anticipated risk or emerging crisis. Trial-and-error learning is an ongoing process of experimentation, assessment and evaluation. Through trial and error, it is possible to determine that an activity does not produce desired outcomes, allowing for strategies to be adjusted and refined. Communities and organizations also benefit from observing others facing similar threats and learn from their failures and successes. Vicarious learning is bolstered through publicly available information, such as media reports and web presence, and access to networks of similar organizations. Crises can provide opportunities to re-evaluate fundamental assumptions, norms, processes, structures, plans, technologies, and overall performance. This session provides an overview of learning from crises and presents cases from the COVID-19 pandemic response, water contamination events, and natural disasters. The COVID-19 response in the City of Detroit offers important lessons about public health disparities, community engagement, and sustained responses. Cases studies of learning from the Flint Water Crisis and the Toledo Water Crisis illustrate how organizations and communities can translate experience into knowledge. Natural disasters can reveal systemic vulnerabilities and deficiencies in knowledge. Winter Storm Uri impacted Texas in mid-February 2021, bringing cold temperatures, record-levels of snow, and damaging ice and devastating the electrical grid, prompting widespread boil water notices. This case provides lessons about informing the public about emerging risks and about how they respond. These cases show how organizational learning may help organizations and communities prevent the repetition of a similar crisis, plan and respond more effectively.
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Rapid Research and Assessment on COVID-19 and Climate in New York City
In May 2020, the New York City (NYC) Mayor’s Office of Climate Resiliency (MOCR) began convening bi-weekly discussions, called the Rapid Research and Assessment (RRA) Series, between City staff and external experts in science, policy, design, engineering, communications, and planning. The goal was to rapidly develop authoritative, actionable information to help integrate resiliency into the City’s COVID response efforts. The situation in NYC is not uncommon. Extreme events often require government officials, practitioners, and citizens to call upon multiple forms of scientific and technical assistance from rapid data collection to expert elicitation, each spanning more or less involved engagement. We compare the RRA to similar rapid assessment efforts and reflect on the nature of the RRA and similar efforts to exchange and co-produce knowledge. The RRA took up topics on social cohesion, risk communication, resilient and healthy buildings, and engagement, in many cases strengthening confidence in what was already known but also refining the existing knowledge in ways that can be helpful as the pandemic unfolds. Researchers also learned from each other ways to be supportive of the City of New York and MOCR in the future. The RRA network will continue to deepen, continue to co-produce actionable climate knowledge, and continue to value organizational sensemaking as a usable climate service, particularly in highly uncertain times. Given the complex, rare, and, in many cases, unfamiliar context of COVID-19, we argue that organizational sensemaking is a usable climate service.
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- Award ID(s):
- 2029918
- PAR ID:
- 10283238
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Date Published:
- Journal Name:
- Journal of Extreme Events
- ISSN:
- 2345-7376
- Page Range / eLocation ID:
- 2150010
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1142/S234573762150010X
