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The paper explores the implementation and process of a Participatory Action Research (PAR) project in Jacksonville, Florida. Using PAR principles, we sought to disrupt traditional dynamics in research, co-generating knowledge with the community. We aimed to elevate disenfranchised voices and foster effective solutions for neighborhood revitalization and resilience, which are designed and led by the community. In this paper we explore researcher positionality, examining how engagement with the community context profoundly influences researchers' perspectives and roles, thereby shaping the study trajectory.

We use reflexive and thematic approaches to analyze researcher positionalities and dynamics with the community. Researchers' reflections were scrutinized with a focus on their backgrounds, adaptability to community pace of work, lessons learned and evolving perspectives on community-centered research. We present a comprehensive discussion of emerging themes and emphasize the transformative nature of PAR and the significance of the researcher pursuing a relationship of belonging within the community.

The study uncovered key themes clarifying the transformations experienced by researchers engaged in PAR. We underwent a significant shift from a predetermined, structured PAR model to a more organic, community-driven model. This shift is illustrated under key themes in the paper: being vulnerable, valuing relationships, transforming the sense of self and solidarity, focusing on the process and recognizing and valuing community-derived knowledge. We write about the metamorphosis of researchers' roles from passive observers to active and empathic participants and about the implications for our methodological approach. As a result of this adaptation, the research process was enhanced and a symbiotic learning environment was created between the researchers and the community.

This paper distinguishes itself through its community-centric approach, diverging from traditional research paradigms. It explores how PAR-based community engagement can have a positive impact on those who are involved in PAR themselves, contributing to a better understanding of reciprocal dynamics in community-based research. We hope that our process of reflection can help other disaster researchers to ask better questions of themselves when engaging with communities and be open to following the lead and the pace of the community.

Golestan province in the northern part of Iran has been affected by devastating floods. There has been a significant change in the pattern of rainfall in Golestan province based on an analysis of the seven heaviest rainfall events in recent decades. Climate change appears to be a significant contributing factor to destructive floods. Thus, this paper aims to assess the susceptibility of this area to flash floods in case of heavy downpours.

This paper uses a variety of computational approaches. Following the collection of data, spatial analyses have been conducted and validated. The layers of information are then weighted, and a final risk map is created. Fuzzy analytical hierarchy process, geographic information system and frequency ratio have been used for data analysis. In the final step, a flood risk map is prepared and discussed.

Due to the complex interaction between thermal fluctuations and precipitation, the situation in the area is further complicated by climate change and the variations in its patterns and intensities. According to the study results, coastal areas of the Caspian Sea, the Gorganrood Basin and the southern regions of the province are predicted to experience flash floods in the future. The research criteria are generalizable and can be used for decision-making in areas exposed to flash flood risk.

The unique feature of this paper is that it evaluates flash flood risks and predicts flood-prone areas in the northern part of Iran. Furthermore, some interventions (e.g. remapping land use and urban zoning) are provided based on the socioeconomic characteristics of the region to reduce flood risk. Based on the generated risk map, a practical suggestion would be to install and operate an integrated rapid flood warning system in high-risk zones.

This paper will challenge normative disaster studies and practice by arguing that thriving communities require the pursuit of imperfection and solidarity. The authors use Lewis Carroll’s Looking-Glass World as a lens to critique both how disasters are understood, and how disaster researchers and practitioners operate, within a climate-change affected world where cultural, political and historical constructs are constantly shifting.

The paper will undertake an analysis of both disasters and disaster studies, using this unique (and satirical) critical lens, looking at the unfolding of systemic mistakes, oppressions and mal-development that are revealed in contemporary disasters, that were once the critiques of Lewis Carroll’s Victorian-era England. It shows how disaster “resilience-building” can actually be a mechanism for continuing the status quo, and how persistent colonizing institutions and systems can be in reproducing themselves.

The authors argue the liberation of disaster studies as a process of challenging the doctrines and paradigms that have been created and given meaning by those in power – particularly white, Western/Northern/Eurocentric, male power. They suggest how researchers and practitioners might view disasters – and their own praxis – Through the Looking Glass in an effort to better understand the power, domination and violence of the status quo, but also as a means of creating a vision for something better, arguing that liberation is possible through community-led action grounded in love, solidarity, difference and interconnection.

The paper uses a novel conceptual lens as a way to challenge researchers and practitioners to avoid the utopic trap that wishes to achieve homogenized perfection and instead find an “imperfect” and complex adaptation that moves toward justice. Considering this idea through satire and literary criticism will lend support to empirical research that makes a similar case using data.