The research, conducted by Yanqing Wang, Xiao Gu, and Yibao Wang of the China University of Mining and Technology in Xuzhou, tackles a question that has received surprisingly little attention: how does emergency knowledge actually move through informal social networks, the ones that operate beneath the radar of official campaigns and school curricula? Previous work on emergency science communication has focused largely on formal channels—government messaging, structured training programs, and, more recently, generative AI tools that can package safety information for broad audiences. But real-world learning often happens in conversations between people who already trust each other, and it is precisely these informal networks that the new study seeks to understand.

To do so, the team built their model on a foundation from network science: the small-world network, a structure famously characterized in 1998 by Duncan Watts and Steven Strogatz. Small-world networks combine two seemingly contradictory properties—they exhibit high clustering, meaning people form tight-knit groups, while also having short average path lengths, meaning any two individuals are connected through only a few intermediaries. This architecture mirrors real human societies well, and previous research has shown that small-world structures accelerate the spread of information and innovation. But a limitation of the classic model is that it treats every relationship as binary: either two people are connected or they are not. Human relationships are richer than that. Some bonds are strong and trusted; others are weak and infrequent.

The researchers therefore adopted a weighted small-world network, drawing on the framework introduced by Latora and Marchiori, which assigns each edge in the network a weight representing the intensity or closeness of the relationship between two nodes. In their formulation, the public’s emergency knowledge diffusion network consists of a set of nodes, a set of edges, and a matrix of relationship strengths ranging from zero to one. Each of the 1,000 simulated individuals carries six distinct types of emergency knowledge—disaster risk knowledge, emergency common sense, escape skills, first aid knowledge, knowledge of public participation, and knowledge of emergency policies and regulations. A node’s overall knowledge level is a weighted average of these six categories, and diffusion occurs whenever one node holds more of a given knowledge type than an adjacent node, creating a knowledge gap that can be closed through interaction.

The elegance of the model lies in its growth mechanics. When knowledge passes from a sender to a receiver, the receiver’s knowledge increases in proportion to their absorption capability, the strength of the relationship between them, and the size of the knowledge gap itself. Meanwhile, the sender’s knowledge remains unchanged—knowledge, unlike a physical resource, is not depleted by sharing. The researchers also incorporated a social reality: because personal time and energy are limited, strengthening one relationship necessarily weakens another. After each exchange, the bond between sender and receiver grows by a fixed increment, while a randomly selected alternative relationship of the receiver is weakened by the same amount. This dynamic captures the constant renegotiation of social closeness that characterizes human networks.

Perhaps the most interesting design choice concerns how a receiver selects a sender. The team tested three strategies. In random selection, a receiver simply picks any eligible neighbor. In relation priority, the receiver chooses the neighbor with whom they have the strongest bond. In knowledge priority, the receiver seeks out the neighbor with the largest knowledge gap—the person who knows the most. Running half a million simulation steps in MATLAB R2023a across networks of 1,000 nodes with an average of eight connections each, the team compared outcomes across all three strategies, measured both by the average knowledge level of the network and by the variance in knowledge across nodes, which indicates how equitably knowledge has spread.

The results carry a nuanced message about timing and strategy. Regardless of how strong the relationships in a network are, the knowledge priority strategy produces the fastest short-term growth in collective emergency knowledge, because people learn the most from those who know the most. But this advantage fades over time. As the network’s average knowledge rises, the knowledge gaps that made the strategy effective diminish, and outcomes converge. In strong relationship networks, the relation priority strategy ultimately catches up and, in some conditions, surpasses knowledge priority, while also producing the lowest variance—meaning knowledge spreads most evenly and the network reaches equilibrium fastest. This makes intuitive sense: in tightly bonded communities, repeated contact and high trust reinforce the diffusion process, consistent with prior research showing that trust amplifies knowledge sharing.

The study also examined how external institutional factors shape these dynamics. Four variables were introduced: public emergency participation policies, legal protection for participants, information technology, and the cost of knowledge diffusion, each assigned an intervention coefficient derived from earlier survey-based research. Policies, legal safeguards, and information technology all showed significant positive effects on how quickly emergency knowledge spreads through informal networks. Diffusion cost, by contrast, exerted a significant negative influence—a reminder that participation in emergency management demands human, material, and financial resources that ordinary people may be unwilling to spend without incentives. The researchers argue this points to the need for material rewards, moral recognition, or tax incentives to stimulate public engagement.

A further finding concerns the difference between strong and weak relationship networks. Knowledge diffuses more efficiently through strong-tie networks, but weak-tie networks proved more sensitive to external interventions. Because individuals in weak networks interact less frequently and hold fewer overlapping connections, policy changes or technological improvements have more room to reshape their behavior. In other words, if governments want to influence how people in loosely connected communities learn about emergencies, external interventions—clear policies, legal protection, accessible technology—may be the most effective lever.

The practical implications extend well beyond China. The authors recommend building community-based emergency participation networks by cultivating a sense of shared belonging, organizing risk-screening exercises, and training neighborhood “grid” workers to act as connectors between residents and professional emergency services. They also highlight the growing role of virtual communities, suggesting that online opinion leaders could package emergency knowledge into engaging formats such as short videos—without compromising accuracy—to reach audiences that formal channels miss. The study draws a sobering lesson from the 2021 Zhengzhou flood disaster, in which some trapped individuals lacked the escape knowledge to act before the critical window closed, underscoring the stakes of getting this right.

The work is not without limitations, which the authors acknowledge candidly. The model assumes everyone wants to learn emergency knowledge, ignores the tendency of knowledge to decay over time without reinforcement, and treats participation willingness as uniform. Future iterations could introduce thresholds of motivation and knowledge attenuation, and field experiments could validate whether the suggested interventions work in practice. Still, by fusing network science with emergency management, the study opens a new paradigm for understanding how the public becomes prepared—not through top-down instruction alone, but through the quiet, cumulative exchange of knowledge between people who know and trust one another. In an era of intensifying disasters, that quiet exchange may prove to be one of the most powerful tools available.

The central concept in the commentary is the “critical juncture,” a period when established institutions become unusually open to rapid change. In historical institutional theory, ordinary periods are shaped by routines, professional boundaries, funding rules, and inherited assumptions. During a critical juncture, however, external pressure or political disruption can weaken those constraints, allowing multiple institutional paths to emerge. The COVID-19 pandemic, growing public concern about police responses to mental-health emergencies, the expansion of the United States 988 Suicide & Crisis Lifeline, and new Medicaid funding opportunities have collectively created such an opening. Governments are now investing in behavioral-health crisis infrastructure at a scale that was difficult to imagine only a few years ago. Yet funding alone does not determine the outcome. The design of reimbursement systems, dispatch protocols, training standards, performance measures, and relationships with police and hospitals will shape what civilian-led crisis response ultimately becomes.

The need for alternatives is rooted in the historical development of emergency services. Modern emergency medical systems were built largely around acute physical injury, transportation, and stabilization. The landmark 1966 report Accidental Death and Disability: The Neglected Disease of Modern Society helped establish the foundations of contemporary emergency medical services by framing road trauma and accidental injury as urgent public-health problems. Over time, the emergency number became a universal gateway to assistance, but the institutions connected to that gateway were not equally prepared for complex social crises. Police departments became the default responders to many situations involving psychiatric distress, intoxication, homelessness, or perceived risk, even when the primary need was medical, psychological, or social rather than criminal-legal. This historical layering is an example of path dependence: once a system develops around a particular infrastructure, later services tend to grow around it, reproducing its assumptions. As the authors note, the themes established during the early formation of emergency medical services can continue influencing how emergency response operates decades later.

Civilian-led crisis response challenges that inherited arrangement by placing trained non-police personnel at the center of selected emergency calls. Depending on the model, teams may include mental-health clinicians, peer support workers, emergency medical technicians, social workers, substance-use specialists, or community safety practitioners. Some programs operate mobile units dispatched directly to a person’s location. Others provide crisis hotlines, walk-in stabilization centers, transportation, follow-up care, or connections to housing and social services. The technical challenge is not simply replacing one responder with another. It involves triage under uncertainty: dispatchers must determine whether a call can safely be handled by civilians, whether a co-response model is appropriate, or whether police and specialized tactical resources are required because of an immediate threat. Effective systems therefore need structured risk assessment, real-time communication, clinical supervision, information-sharing rules, and clear escalation pathways. A civilian team must be able to summon additional support without turning every encounter into a police intervention.

Evidence assembled in recent studies suggests that the models differ substantially in purpose and operation. Police-led crisis intervention teams generally train officers to recognize psychiatric symptoms, de-escalate encounters, and connect people to treatment. Co-responder programs pair officers with clinicians, either in the same vehicle or through coordinated deployment. Non-police models remove law enforcement from the initial response, seeking to reduce arrest, involuntary transport, physical restraint, and the criminalization of behavior associated with illness or poverty. Rapid reviews have found that comparisons across these approaches remain difficult because programs measure different outcomes and serve different populations. A reduction in arrests may be important, but it does not automatically demonstrate improved mental-health recovery. A high rate of referral to hospitals may indicate effective access to care—or a lack of community-based alternatives. Researchers increasingly argue that evaluation must track multiple dimensions at once, including safety, use of force, emergency-department utilization, repeat calls, connection to ongoing services, client experience, racial equity, worker safety, and cost.

The expansion of these services has also exposed a difficult funding paradox. Civilian responders are often expected to be available around the clock, cover large geographic areas, and address highly complex situations, yet many programs have historically depended on short-term grants or community organizations operating with limited resources. In the United States, the American Rescue Plan Act and changes in Medicaid policy created new opportunities to finance mobile crisis teams and broader behavioral-health crisis systems. Medicaid reimbursement can provide a more stable revenue stream, but it may also favor services that fit conventional clinical billing categories. Community organizations may offer forms of support that are relational, peer-based, culturally specific, or materially focused, but those activities can be harder to document and reimburse than a standardized clinical encounter. The authors warn that institutionalization can create “crowding out” or substitution effects, in which public systems reduce direct responsibility after community organizations become visible providers. Instead of complementing civilian services with reliable public investment, governments may treat them as inexpensive replacements for properly funded health, housing, and social-care systems.

The danger is not limited to underfunding. As a new organizational field develops, agencies may begin to resemble one another in ways that make services easier to regulate but less responsive to local needs. Organizational sociologists describe this process as institutional isomorphism: organizations facing similar political, financial, and professional pressures adopt similar structures, language, credentials, reporting systems, and management practices. Standardization can improve quality and accountability, particularly when teams work across multiple jurisdictions. But excessive standardization may eliminate the flexibility that makes community-led response effective. A program designed around local knowledge could be pushed toward hospital-centered protocols. Peer workers might be subordinated to clinical hierarchies. Community safety teams could be measured primarily by response time and call closure rather than trust, autonomy, or long-term stability. Even the language used to describe these programs matters, because labels can determine whether a service is understood as healthcare, emergency management, social work, public safety, or an extension of policing.

The recent crisis surrounding CAHOOTS in Eugene, Oregon, illustrates how fragile civilian-led systems can be when political expectations exceed operational capacity. CAHOOTS became internationally recognized as a prominent example of non-police crisis response, but reports about its later closure and efforts to revive the program highlighted the pressures facing mature services. High demand, workforce shortages, uncertain funding, and public expectations for immediate intervention can destabilize even well-known models. Similar tensions have appeared in other jurisdictions. A service may be praised as an alternative to police while still being asked to respond to calls involving violence, weapons, severe intoxication, or medical emergencies beyond its mandate. Conversely, if dispatch systems refer only the least complex calls, officials may conclude that civilian responders are unnecessary for serious crises. The field therefore requires realistic scope definitions rather than symbolic claims that one model can replace every emergency institution.

The authors describe the current period as an opportunity to make a fundamental choice about the architecture of crisis response. One path would integrate civilian teams into a broad, publicly funded continuum that includes prevention, 24-hour response, stabilization, transportation, peer support, housing assistance, addiction care, and long-term treatment. Another path would place them inside existing emergency and criminal-legal systems, using civilian personnel primarily to reduce pressure on police and hospitals without changing the underlying allocation of authority. The distinction is technically important. In a genuinely civilian-led system, dispatch, supervision, clinical decision-making, data governance, and accountability would not be controlled solely by law enforcement institutions. Police could remain available for situations involving immediate threats, but their presence would not be the default condition for receiving help. This arrangement would also require investment in workforce development, including specialized training in de-escalation, disability, trauma, suicide prevention, substance use, cultural safety, legal rights, and the limits of coercive intervention.

Whether this critical juncture produces lasting transformation will depend on how success is defined and who is allowed to define it. A narrow evaluation framework might ask whether a team arrived quickly, cleared a call, avoided police involvement, or reduced hospital use. A more complete framework would ask whether people felt respected, whether coercion was minimized, whether disparities in response were reduced, whether workers were protected, and whether the encounter improved the person’s access to durable support. Civilian-led crisis response cannot solve the structural causes of crisis on its own, especially when affordable housing, primary care, disability services, and mental-health treatment remain scarce. But it can change the first institutional contact a person experiences during an emergency. Giacomantonio and Horn argue that the decisions made during this moment of rapid expansion will establish the field’s future rules. If policymakers treat civilian responders as a serious public service rather than a temporary innovation, the result could be a more humane and technically appropriate emergency system. If they reproduce older hierarchies under a new name, the apparent revolution may become another chapter in the history of institutional continuity.

Subject of Research: Civilian-led crisis response services and the institutional development of non-police behavioral-health emergency systems

Article Title: A Critical Juncture for Civilian-led Crisis Response Services

Article References: Giacomantonio, C., & Horn, C. (2026). A Critical Juncture for Civilian-led Crisis Response Services. Community Mental Health Journal. Key references include Shah (2006), Capoccia (2016), Mahoney (2000), Marcus and Stergiopoulos (2022), Compton, Pope, and Watson (2024), Odes et al. (2024), and Watson et al. (2025).

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s10597-026-01660-3

Keywords: Crisis response, civilian-led crisis services, behavioral health, mobile crisis teams, emergency services, mental-health emergencies, police alternatives, critical junctures, institutional theory, community safety