The authors’ central claim is deceptively simple: behavioral insights work everywhere, but the evidence base that supports them was built almost entirely in WEIRD societies, shorthand in psychology for Western, educated, industrialized, rich, and democratic populations. Early critics once dismissed behavioral regulation as an artifact of affluent nations, and even within rich democracies the approach has often been confined to small innovation units vulnerable to budget cuts and administrative reshuffling. The article contends that this narrow provenance is not merely an academic inconvenience. Most behavioral evidence was generated in contexts where daily life is stable and institutions are predictable, conditions that simply do not hold in much of the world, and increasingly fail to hold anywhere.

Central and Eastern Europe presents a governance landscape of unusual complexity. Several countries, including Ukraine, Moldova, Armenia, and the states of the Western Balkans, are actively aligning with European Union frameworks, regulations, and democratic norms. Others, including Hungary, Slovakia, Latvia, Lithuania, Estonia, Bulgaria, and Romania, are already EU members yet grapple with democratic backsliding, declining trust in public institutions, and citizen disengagement. Layered onto this dual dynamic of convergence and strain is the enduring post-communist legacy: historical experiences of centralized authority, limited civic participation, and institutional opacity have shaped patterns of trust, compliance, and public engagement in ways that can complicate interventions relying on assumptions of high institutional trust or strong civic norms.

Then there is the geopolitical overlay. The war against Ukraine and persistent Russian interference across neighboring states generate heightened uncertainty, mistrust, and polarization, conditions under which conventional policy tools often prove insufficient. Countering disinformation, misinformation, and malinformation increasingly requires integrating behavioral science with insights from neuroscience, particularly to understand how citizens process risk, credibility, and identity-based narratives under stress. For the authors, this makes the region not just a candidate for behavioral policy but a critical testing ground that reveals which interventions survive when institutions are fragile and information itself is contested.

The most striking evidence comes from wartime Ukraine. In July 2022, researchers conducted a large survey experiment with Ukrainian adults in regions exposed to invasion and shelling, published by Martinez and colleagues in The Economic Journal. Participants viewed different versions of an official-style evacuation notice and judged its effectiveness. The design was deliberately policy-facing: rather than merely varying rhetorical wording, it tested a practical element governments could modify immediately, namely whether the message included a clear evacuation plan. The results upended conventional crisis-communication wisdom. Variations emphasizing gains, losses, living conditions, or military considerations did not significantly affect perceived effectiveness. What mattered was practical agency. When the notice explained how to join an organized evacuation, what to do next, and what support was available, participants rated it as substantially more effective.

The authors interpret this as behavioral science at its most useful: not nudging with slogans but diagnosing the bottleneck. The study distinguishes preference-based reluctance, where people could leave but choose not to, from constraint-based reluctance, where people wish to leave but do not believe they can do so safely or independently. The plan treatment addresses the second mechanism directly, reducing ambiguity, lowering the psychological cost of decision-making, and transforming a frightening instruction into actionable steps that increase perceived control. In wartime, threats are intentional, information is contested, and the personal costs of leaving are far more ambiguous than in natural-disaster evacuations, which is precisely why lessons from wealthy countries may not travel well. The findings suggest that in crisis, the most persuasive message is the one that makes action feel feasible.

Crucially, the region is not starting from zero. The article catalogs a growing body of behavioral interventions already producing measurable results across Central and Eastern Europe. In Latvia, a field experiment conducted with the State Revenue Service found that behaviorally informed reminder emails sent to previously non-compliant self-employed individuals significantly increased timely tax declarations, with the most effective message lifting compliance by 9.4 percent. In Hungary, a randomized controlled trial published in Scientific Reports showed that a prosocial fake news intervention, which encouraged people to help less digitally literate family members spot misleading content, improved fake news detection and reduced susceptibility to disinformation, with effects that persisted over time. Both cases demonstrate that low-cost, scalable interventions can yield meaningful gains even in settings characterized by large informal economies and information environments marked by low trust.

From this emerging evidence base, the authors draw two broader conclusions. First, the behavioral evidence base must expand beyond WEIRD settings in a substantively meaningful way, because behavior shifts when environments are shaped by intentional threats, contested information, and fragile logistics. Second, they propose a behavioral preparedness agenda: in crises, effective interventions are those that simplify coordination, pre-commit plans, and connect citizens to credible support channels, rather than those that merely reframe risk. Across domains from evacuation to taxation to misinformation, the consistent principle is that interventions succeed when they reduce friction, increase perceived agency, and translate intentions into clear, actionable steps. Awareness campaigns, the authors suggest, chronically overinvest in persuasion, telling people to be careful, and underinvest in execution, telling people exactly what to do and what support exists.

The implications reach well beyond evacuation. Eastern Europe faces overlapping risks from geopolitical shocks, energy disruptions, cyberattacks, and high-velocity disinformation, and the pragmatic lesson applies across all of them: resilience is strengthened when desired behaviors are made easy to perform under stress and in everyday governance alike, through rehearsable checklists, secure defaults, simple reporting pathways, and communications that provide credible plans rather than abstract warnings. The region’s underexplored status represents both a gap and an opportunity, since despite institutional and economic reforms since the early 2000s there has been no systematic effort to embed behavioral science in policymaking, whether through dedicated governmental units or sustained academic-policy collaboration.

The path forward, the authors argue, need not start from scratch. International experience documented by the World Bank and the World Health Organization shows that governments have operationalized behavioral insights through several institutional models, including units embedded within ministries, centrally located teams working across policy domains, and partnerships with external organizations. Slovakia, notably, has already established a behavioral insights function within its health system. Concrete avenues include working directly with policymakers to demonstrate the benefits of pre-tested policies, building structured cooperation between policymakers and academics so behavioral insights inform the entire policy cycle rather than arriving as an afterthought, engaging legislators so behavioral considerations shape not just implementation but legislative drafting, and developing university courses in behavioral economics to cultivate a new generation of local practitioners. A first regional step has already been taken: a two-day workshop titled Behavioral Insights for Policy, held in Chișinău, Moldova, in July, brought together academics and practitioners to discuss countering misinformation, building public trust, and promoting energy efficiency, the first event of its kind addressing this specific non-WEIRD context. For a discipline built on the premise that small changes can make a big difference, the biggest change may be where the science is allowed to prove itself.

Subject of Research: Application of behavioral insights to public policymaking in Central and Eastern Europe

Article Title: Beyond the West: behavioral insights for policymaking in Central and Eastern Europe

Article References: Banerjee, S., Romaniuc, R., & Voutova, N. (2026). Beyond the West: behavioral insights for policymaking in Central and Eastern Europe. Frontiers in Behavioral Economics, 5, Article 1813982. https://doi.org/10.3389/frbhe.2026.1813982

Image Credits: AI Generated

DOI: 10.3389/frbhe.2026.1813982

Keywords: behavioral insights, behavioral public policy, Central and Eastern Europe, nudge theory, Ukraine evacuation, tax compliance, misinformation, WEIRD populations, crisis communication, governance, behavioral economics, policy design

The problem the researchers set out to solve is brutally practical. In the aftermath of a natural disaster, armed conflict, or large-scale humanitarian crisis, conventional communication infrastructure is frequently damaged or destroyed entirely. Rescue teams, medical services, and humanitarian organizations then turn to rapidly deployable wireless systems such as mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs), which can be set up without any pre-existing towers or cables. But these networks face a hostile combination of challenges: the topology changes constantly as people and devices move, battery power is limited and cannot be recharged, wireless links are unreliable, and traffic arrives in unpredictable bursts as critical information is exchanged.

Traditional routing protocols were designed for relatively stable environments, and they struggle under these conditions. Static routing schemes and single-heuristic optimization approaches lack the flexibility to cope with sudden node failures, shifting congestion, and depleting energy reserves. The research team — Samir Haddad and Jinane Sayah of the University of Balamand, Kassem Danach of Al Maaref University, and Khouloud Eledlebi of Abu Dhabi University — argues that what is needed is not a better single strategy, but a system that can choose among many strategies as conditions change.

That is where the hyper-heuristic comes in. Unlike traditional metaheuristics, which directly search a problem’s solution space, hyper-heuristics operate one level up: they automatically select or generate heuristics rather than solving the optimization problem themselves. The framework maintains a heterogeneous pool of low-level communication heuristics divided into four classes. Constructive heuristics build initial feasible routing paths, for example by minimizing energy consumption or communication distance. Improvement heuristics refine existing configurations through incremental adjustments such as delay-aware routing or load balancing. Perturbation heuristics introduce controlled modifications to escape local optima — opportunistic forwarding, which lets nodes pick alternative relays when link quality degrades, falls into this category. Reconstructive heuristics partially or completely rebuild routing structures when topology changes or node failures make the current configuration inefficient, and cluster-based communication mechanisms can be applied here to reorganize the network into energy-efficient groups.

The candidate heuristics in the pool include energy-aware routing, delay-aware routing, load-balanced routing, cluster-based communication, and opportunistic forwarding. A high-level hyper-heuristic controller acts as the decision-maker, evaluating the current network state at each decision epoch and selecting the most suitable heuristic. The selection mechanism relies on adaptive scoring with reinforcement learning principles: each heuristic carries a performance score reflecting its effectiveness under particular conditions, and after it is applied, its impact on network metrics is evaluated and the score updated. A choice-function-based mechanism ranks heuristics by combining their recent improvement contribution, historical performance, and the time elapsed since last use, encouraging selection of strategies that have demonstrated strong results while still exploring less frequently applied options.

What guides these decisions is a continuous stream of real-time network state indicators. The system monitors residual node energy, wireless link quality and signal strength, traffic congestion and queue lengths, node density and connectivity degree, and packet delivery performance. These indicators are aggregated into a state vector that serves as input to the controller. If node energy levels become critically low, the controller prioritizes energy-aware routing heuristics; if congestion rises, load-balancing heuristics are selected to redistribute traffic. The framework also incorporates acceptance criteria that determine whether a newly generated network configuration should replace the current one — new solutions are accepted if they improve a multi-objective performance function, and otherwise may still be accepted with a small probability to encourage exploration and prevent premature convergence.

That multi-objective optimization model is central to the approach. Rather than optimizing a single metric, the framework simultaneously minimizes energy consumption, communication delay, and packet loss while maximizing network reliability, measured through the packet delivery ratio. The global objective is a weighted function aggregating these components, with non-negative weighting factors determining each metric’s relative importance. The weights were selected to provide balanced consideration between energy efficiency, delay, packet loss, and reliability according to the operational requirements of disaster-response systems, initially determined through empirical observations and preliminary simulations to avoid dominance of a single objective. The formulation acknowledges the inherent trade-offs: minimizing delay may increase energy consumption, improving reliability may require redundant paths that add overhead, and reducing packet loss may trigger retransmissions that affect both latency and energy efficiency. The optimization is subject to operational constraints including positive residual energy for each node, network connectivity, and bandwidth limits on each link.

The network itself is modeled as a distributed, infrastructure-less system of heterogeneous nodes deployed across a disaster region: mobile user nodes carried by rescue teams and civilians, lightweight sensor nodes for environmental monitoring such as structural damage, temperature, smoke detection, or human presence, and UAV relay nodes acting as aerial relays to extend coverage and restore connectivity between disconnected ground segments. Energy consumption follows a widely adopted radio model in which nodes expend energy during packet transmission, reception, and idle listening, with transmission energy depending on the path-loss exponent, typically ranging between 2 and 4 depending on the propagation environment. Network lifetime is defined as the time until the first critical node exhausts its energy or connectivity drops below a predefined threshold.

To evaluate the framework, the researchers conducted extensive simulations in NS-3, a packet-level network simulator widely used in wireless research. Networks of 50 to 200 nodes were randomly deployed in a disaster region, each equipped with an IEEE 802.11 wireless interface, with ground node mobility following the Random Waypoint Mobility Model to emulate the unpredictable movement of rescue teams and civilians. Three crisis scenarios were modeled: a disaster-damaged urban network with node failures and intermittent connectivity, an emergency rescue communication system with high traffic loads and dynamic mobility, and a dynamic connectivity disruption scenario in which nodes randomly fail or become temporarily unavailable. The hyper-heuristic framework was compared against three conventional baselines: Energy-Aware Routing, Delay-Aware Routing, and Cluster-Based Routing, with each experiment repeated multiple times using different random seeds to obtain statistically reliable results.

The results were consistent across all network sizes. The hyper-heuristic framework achieved the longest network lifetime, up to 15 percent greater than conventional strategies, mainly due to dynamic selection of energy-efficient communication heuristics based on real-time conditions. It also attained the highest packet delivery ratio, improved by approximately 6 to 10 percent, because adaptive heuristic selection allows the system to avoid congested or unreliable paths. End-to-end delay was reduced by nearly 20 percent — particularly beneficial for time-sensitive emergency services — while total energy consumption dropped significantly as the controller switched to energy-aware strategies when battery levels became critical. Energy efficiency, measured as successfully delivered packets per unit of energy consumed, was superior across the board. The authors note that future work could integrate reinforcement learning for more advanced heuristic selection, extend the framework to UAV-assisted networks, evaluate it in large-scale real-world deployments, and incorporate predictive analytics capable of anticipating topology changes and node failures before degradation occurs. For now, the study offers a practical and scalable solution for emergency response networks — and a demonstration that hyper-heuristic optimization can support reliable, energy-efficient wireless communications during disaster recovery and humanitarian operations.

Subject of Research: A hyper-heuristic-driven framework for sustainable, crisis-resilient wireless communication networks that adaptively selects routing heuristics to optimize energy, delay, packet loss, and reliability in disaster scenarios.

Article Title: Hyper-heuristic driven sustainable wireless networks for crisis-resilient communication systems

Article References: Haddad, S., Danach, K., Eledlebi, K., & Sayah, J. (2026). Hyper-heuristic driven sustainable wireless networks for crisis-resilient communication systems. Frontiers in Communications and Networks, 7, Article 1834396. https://doi.org/10.3389/frcmn.2026.1834396

Image Credits: AI Generated

DOI: 10.3389/frcmn.2026.1834396

Keywords: hyper-heuristics, wireless networks, disaster response, MANETs, wireless sensor networks, energy efficiency, network lifetime, packet delivery ratio, crisis communication, NS-3 simulator, multi-objective optimization, UAV relays

The problem, as the authors describe it, sits at the intersection of science, politics, economics, misinformation, and public trust. During the pandemic, health leaders were asked to contain a fast-moving virus while simultaneously minimizing economic disruption, educational loss, restrictions on individual freedom, and damage to health equity. Choosing one course of action almost always created harm somewhere else, yet leaders were expected to defend those choices as if they were purely scientific determinations with no values embedded in them. The commentary argues that this framing was unsustainable and, in many cases, destructive to public confidence in health institutions.

The human cost of that unsustainable framing is measurable. The authors cite a survey of 583 United States health departments which found that 36 percent of public health officials left their positions during the first year of the pandemic, and that more than one-third of those departures were associated with workplace harassment, bullying, or threats. When experienced leaders exit in this way, institutions lose more than personnel. They lose relationships, institutional memory, community trust, and the accumulated capacity to navigate future crises. Ige and Fakuade argue that this leadership turnover should be treated not as an administrative inconvenience but as an indicator of system instability and a direct measure of emergency preparedness.

Central to the authors’ argument is the observation that public health leaders are already diplomats in everything but name. Diplomacy is conventionally associated with foreign ministries, but its core functions, including communication, negotiation, facilitation, consensus building, and the management of competing interests, are also the daily work of local and national health officials. These officials routinely negotiate with elected politicians, hospital systems, businesses, educators, community organizations, journalists, scientists, and residents, each of whom may hold sharply different definitions of acceptable risk during a crisis. The commentary draws on leadership experience in Chicago and New York to make the point that it is often easier to get the science right than to navigate the consequences of acting on it. Decisions about schools, mass gatherings, scarce resources, and protective measures demand epidemiologic expertise, but they equally demand the ability to explain uncertainty, negotiate disagreement, understand power dynamics, and maintain working relationships with people who may vehemently oppose the final decision.

International case studies reinforce the argument. In South Africa, the COVID-19 response was built around coordinated, transparent, science-based, and agile leadership, supported by relationships spanning government, academia, the private sector, non-governmental organizations, and international partners. In New Zealand, crisis leadership was communicated through the collective narrative of a “team of five million,” which emphasized shared responsibility, care, trust, and cooperation. The authors suggest that these examples demonstrate a consistent principle: effective crisis leadership is not merely a question of what leaders know, but of how institutions create the conditions for collective action. At the continental level, the commentary also highlights African leadership during COVID-19 as evidence of the value of regional cooperation, locally informed decision-making, and a stronger African voice in global health governance.

From this evidence base, the authors propose three institutional practices to strengthen what they describe as the diplomacy infrastructure. The first is making decision transparency a standing institutional practice rather than an improvisational gesture. Agencies should establish permanent frameworks for weighing health risks alongside economic harm, educational disruption, individual autonomy, and equity, and those frameworks should be public. Leaders cannot always provide certainty, but they can always explain process: what evidence was considered, which values were prioritized, what tradeoffs were recognized, and who participated in the deliberation. Transparency of this kind does not eliminate disagreement, the authors acknowledge, but it creates the conditions for disagreement to be managed constructively. When people can see that decision-making recognizes their realities rather than reducing complex social choices to a bare invocation of “the science,” trust becomes genuinely possible.

The second proposed practice is the systematic use of predefined reassessment checkpoints. Crisis measures, the authors argue, should be treated as time-bound and revisable from the outset rather than as open-ended impositions. Before implementing a major intervention, agencies should identify the time horizon, the specific data to be monitored, and the conditions that would trigger modification or termination. A measure might be announced with an explicit commitment to review transmission and hospitalization data weekly and to decide whether to extend, modify, or end it at a fixed date. This reframing has a subtle but powerful psychological effect: changing course in response to new evidence becomes responsible decision-making rather than an admission of failure. Predefined checkpoints also transform public disagreement from a contest over who was originally “right” into a shared discussion about what the accumulating evidence is revealing.

The third practice is the establishment of cross-sector structures for shared decision-making. The commentary is explicit that public health decisions should not be negotiated solely behind the walls of the health department. Business, education, government, community, and health leaders need standing mechanisms through which competing priorities can be discussed both before and during crises. South Africa’s experience illustrates both the value of coordinated cross-sector relationships and the damage that top-down communication and weak institutional links can inflict on trust. The authors are careful to define what shared decision-making does not mean: it does not give every stakeholder an equal vote on scientific questions. Rather, it ensures that the consequences of decisions are understood by the people who will experience and implement them, a condition that becomes especially critical when misinformation is competing with credible information for public attention.

That competition for attention is itself a defining feature of the modern crisis environment. The authors describe the contemporary information landscape as an infodemic, in which credible evidence contends with misinformation, political narratives, commercial interests, and rapidly shifting social media content. In such an environment, trust cannot be built through information alone. It is built through relationships, consistency, listening, acknowledgment of uncertainty, and accountability. This is why, they argue, public health diplomacy requires a broader competency set than traditional risk communication: skills in facilitation, negotiation, consensus building, conflict management, understanding power, and applying equity and ethical reasoning. These competencies, the commentary insists, belong in graduate education, executive development programs, and emergency preparedness exercises, not in the personal skill sets of a fortunate few leaders.

The conclusion the authors reach is deliberately blunt. Public health leadership during crisis requires navigating competing interests, managing uncertainty, building trust, and helping societies make difficult collective choices, and that, simply put, is diplomacy. The field should stop trying to train individual leaders to communicate better and start building institutions that are better prepared to negotiate. Transparent decision frameworks, predefined reassessment checkpoints, cross-sector advisory structures, and deliberate investment in leadership stability together can make difficult decisions more understandable, more inclusive, and more adaptable. Introducing new leadership in the midst of an emergency erodes community trust precisely because the foundational relationships required for an effective response have not yet been established. If the world expects public health leaders to serve as diplomats in the next crisis, the authors conclude, it must first give them the structures and institutional protection to succeed, distributing the burden of impossible decisions across resilient systems rather than leaving it on individual shoulders until they break.

Subject of Research: Institutionalizing public health diplomacy to strengthen crisis communication, trust, and leadership resilience

Article Title: Institutionalizing public health diplomacy: building trust in crisis

Article References: Ige, O., & Fakuade, D. (2026). Institutionalizing public health diplomacy: building trust in crisis. Public Health Reviews, 47, Article 1610349. https://doi.org/10.3389/phrs.2026.1610349

Image Credits: AI Generated

DOI: 10.3389/phrs.2026.1610349

Keywords: public health diplomacy, crisis communication, COVID-19, leadership turnover, decision transparency, risk communication, health equity, misinformation, emergency preparedness, cross-sector collaboration, institutional resilience, trust

The study, published in the journal Current Psychology, was conducted by Marketa Lepicovsky of the Higher Colleges of Technology in Abu Dhabi, Jamel Khenfer of Zayed University, and Yi-Tai Seih of the National Taiwan University of Science and Technology. The team set out to address a persistent gap in the panic buying literature: most prior work has been correlational, surveying people after the fact about their stockpiling habits during events like the COVID-19 pandemic. Such designs can reveal associations but cannot establish what causes what. By experimentally manipulating both the emotional framing of threat information and participants’ mode of thinking, the researchers were able to isolate the psychological conditions under which fear translates into the urge to hoard.

Central to the research is a distinction that psychologists have drawn increasingly sharply in recent years: the difference between fear and anxiety. Although the two words are often used interchangeably in everyday speech, they describe different emotional states with different cognitive signatures. Fear, in the classical account, is a response to a specific, identifiable, and present danger — a predator, an oncoming car, a virus sweeping through your city. Anxiety, by contrast, is triggered by uncertain, diffuse, or potential threats — the worry about what might happen. Neuroscience work by Joseph LeDoux and Daniel Pine has even proposed that the two states rely on partly separable brain systems. Crucially for this study, prior research by Lidewij Mayiwar and Fredrik Björklund found that fear and anxiety also differ in what psychologists call construal level: fear tends to accompany concrete, low-level thinking about specifics, while anxiety aligns with abstract, high-level processing of broader meaning.

That alignment is where construal level theory enters the picture. Developed by Yaacov Trope and Nira Liberman, the theory holds that people mentally represent the same object or event at different levels of abstraction depending on psychological distance. A distant, hypothetical threat is typically processed abstractly — in terms of its general meaning and far-reaching implications — while an immediate, proximal threat is processed concretely, in terms of tangible, here-and-now details. The researchers reasoned that these processing modes would interact with emotional framing. Fear-framed messages, they hypothesized, would be especially likely to provoke self-protective responses like panic buying when recipients were also engaged in concrete thinking, because both the emotion and the cognitive mode converge on immediate, specific action.

To test this idea, the team ran two experiments with a 2×2 design. In Study 1, conducted during the COVID-19 pandemic, participants were randomly assigned to write about managing either fear or anxiety related to the pandemic, and to do so in either a concrete or an abstract way. Those in the concrete conditions were asked to write about the specific actions and steps they would take; those in the abstract conditions were asked to write about reasons and overall benefits. The manipulation drew on established methods for shifting construal level, and its affective effectiveness was verified using Linguistic Inquiry and Word Count (LIWC), a text-analysis tool. Participants in the threat conditions used significantly more negative emotion words than those in a control condition, confirming that the writing task genuinely evoked distress. Panic buying intention was then measured with a seven-item scale adapted from work by Sérgio Lins and colleagues.

The results of Study 1 provided initial evidence for a three-way interaction between affective framing, construal level, and gender. Fear-framed information, compared with anxiety-framed information, tended to be associated with higher panic buying intention — but predominantly under low construal level, that is, when participants were processing information concretely. And this combined effect was more pronounced among men. The finding runs counter to a large body of literature documenting that women typically report higher levels of fear and anxiety than men, and that anxiety disorders are roughly twice as common in women. It also complicates evolutionary accounts, such as that of Joyce Benenson and colleagues, which frame self-protection as a distinctly adaptive female strategy. Whatever the ultimate explanation, the data suggest that when fear and concrete thinking are experimentally combined, men’s stockpiling intentions respond more strongly.

Study 2 extended the paradigm to a very different kind of threat: economic inflation driven by tariffs, described to participants in a news-report format. The same 2×2 manipulation of emotion (fear versus anxiety) and construal level (concrete versus abstract) was applied, this time framed around economic fear and economic anxiety. The pattern of results replicated the first study: fear-framed information again tended to produce higher panic buying intention than anxiety-framed information under concrete processing, with the effect again more visible among men. The replication across a health crisis and an economic crisis is significant, because it suggests the mechanism is not specific to pandemics but reflects a general feature of how threat information is emotionally and cognitively processed.

Study 2 also probed the mechanism behind these effects, drawing on protection motivation theory. This framework, originally formulated by Ronald Rogers and later consolidated in a meta-analysis by Deborah Floyd and colleagues, holds that responses to threat appeals depend on cognitive appraisals — including perceived threat severity, or how serious and significant a person judges the danger to be. The researchers measured perceived threat severity with items asking participants how serious, severe, and significant they considered the situation in the scenario to be. Their analysis suggested that perceived severity may help account for the observed responses, pointing to a plausible pathway: fear-framed, concretely processed information makes a threat feel more severe, and that heightened appraisal of severity feeds the impulse to buy in bulk as a form of self-protection.

The theoretical framing of the study matters for interpreting why fear should outperform anxiety in driving stockpiling. Fear is an action-oriented emotion — it demands immediate defensive responses to a concrete danger. Anxiety, as scholars such as Maria Miceli and Cristiano Castelfranchi have argued, is fundamentally an epistemic emotion, born of uncertainty and directed at resolving ambiguity rather than acting against a known threat. When a crisis message frames the threat in fear terms and the recipient is already processing concretely, the emotional and cognitive systems align toward immediate, tangible defensive action — and buying more than one needs becomes a readily available way to feel safe. Anxiety-framed messages, or abstract processing of threat, may instead direct attention to broad meanings and long-range implications, diluting the urgency of the shopping cart.

The practical implications reach directly into crisis communication and public policy. Governments and retailers routinely face the challenge of conveying urgency — the need for caution, preparedness, or vaccination — without triggering the very panic they hope to prevent. These findings suggest that the wording and framing of crisis messages interact with how audiences mentally represent the threat. Communication that induces fear while inviting concrete, step-by-step processing may inadvertently push people toward stockpiling behavior; conversely, framing that encourages abstract reflection on the broader situation, or that pairs urgent information with abstract framing, may reduce the hoarding impulse. As the authors note, understanding these conditional effects is essential for designing interventions that keep supply chains stable and shelves stocked the next time a crisis arrives.

Subject of Research: How fear versus anxiety framing, construal level, and gender shape panic buying intentions under threat, tested in two experiments during the COVID-19 pandemic and an inflation crisis.

Article Title: Fear, construal level, and gender in panic buying under threat: evidence from two experiments

Article References: Lepicovsky, M., Khenfer, J., & Seih, Y.-T. (2026). Fear, construal level, and gender in panic buying under threat: evidence from two experiments. Current Psychology, 45(20), Article 1608. https://doi.org/10.1007/s12144-026-10178-6

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10178-6

Keywords: panic buying, fear, anxiety, construal level theory, protection motivation theory, gender differences, crisis communication, consumer behavior, threat perception, COVID-19, inflation, experimental psychology

The researchers assembled an unusually large corpus: 64,349 publicly visible top-level comments posted in response to the donated-artifact controversy. Rather than treating the comment stream as an undifferentiated mass, they organized it into three event-anchored source-content groups, each tied to a distinct moment in the unfolding crisis. This design choice matters. Crisis discourse is not static; the public’s demands in the hours after an initial institutional response can differ sharply from those expressed once investigations are underway. By anchoring comment groups to specific events, the team could track how the texture of accountability talk shifted over the life of the controversy, rather than averaging it into a single blurred snapshot.

The computational backbone of the study is BERTopic, a transformer-based topic modeling technique that has become a workhorse of large-scale discourse analysis. Unlike classical topic models such as latent Dirichlet allocation, BERTopic leverages contextual embeddings from pretrained language models, clustering documents by the semantic similarity of their vector representations and then extracting interpretable keywords for each cluster. Applied to the Nanjing Museum corpus, the method identified 49 substantive topics that together covered 42,126 comments—a substantial and coherent subset of the full data. The remaining comments fell outside the substantive clusters, a reminder that even the best topic models leave residual noise at the messy edges of real-world social media text.

Topic models produce clusters, but clusters are not theory. To move from 49 granular topics to interpretable findings, the researchers applied a higher-order thematic framework, validated independently by two researchers, that mapped the topics onto six substantive groupings. These groupings were then aligned with a concept the authors call distributed accountability—a function-based framework for understanding how public demands for sanction, explanation, and relational repair are organized across platform environments. In this scheme, accountability is not a single demand but a bundle of distinct functions: punitive accountability seeks punishment and blame; knowledge-based accountability demands investigation, evidence, and explanation; ethical accountability interrogates the moral norms governing behavior, in this case the ethics of donating and accepting cultural artifacts.

The headline quantitative result is that ethical accountability accounted for the largest share of classified comments under the primary coding specification. In other words, when Chinese social media users confronted the museum controversy, the dominant mode of judgment was moral rather than punitive or investigative: commenters were most engaged by questions of what ethical standards should govern donations to a major public institution. Yet the authors are refreshingly candid about the fragility of that ranking. The absolute ordering of accountability functions proved sensitive to how the largest disputed topic was treated—a methodological honesty that distinguishes careful computational social science from the overconfident claims that sometimes plague the field.

More robust were the temporal patterns visible across the event-anchored groups. Donation ethics was relatively more prominent in discussion attached to the institution’s initial response, when the moral contours of the controversy were freshest and most contested. As the crisis matured, investigation-oriented themes and personalized blame grew relatively more prominent, suggesting that public attention migrated from abstract ethical principle toward concrete demands for process and identifiable responsibility. This trajectory echoes a well-documented pattern in crisis communication research: initial moral shock gives way, over time, to procedural scrutiny and the search for culprits. What the study adds is evidence that this migration can be measured at scale, comment by comment, across the full arc of a cultural heritage crisis.

The cross-platform findings are the study’s most conceptually interesting contribution, and also its most carefully hedged. Douyin, the short-video platform, showed a relatively stronger punitive profile: its comment sections leaned toward demands for sanction and blame. Bilibili, the community built around longer-form video and known for its technically literate user base, showed a relatively stronger knowledge-based profile, with more emphasis on investigation and explanation. Rednote occupied its own discursive position within this triad. Crucially, these platform differences were stable across alternative coding specifications, which strengthens confidence that they reflect genuine differences in how communities organize accountability talk rather than artifacts of one particular analytical choice.

But the authors resist the seductive conclusion that platforms create entirely distinct publics. The overall association between platform and accountability function, while detectable, remained small. As the study puts it, platform differences concern the relative organization of accountability discourse, not the presence or absence of particular accountability functions. Every platform hosted punitive, knowledge-based, and ethical demands; what varied was their proportionate weight. This finding pushes back against a popular tendency to treat platforms as hermetically sealed judgment machines—Douyin as the mob, Bilibili as the analysts—and instead supports a picture of functionally differentiated accountability demands coexisting within a shared institutional crisis, redistributed but not partitioned by platform architecture.

The theoretical payoff is twofold. For scholars of platformized public judgment, the study demonstrates that accountability can be decomposed into measurable functions and tracked across platform boundaries, offering a template that future researchers can apply to other crises. For practitioners of institutional crisis governance, the implications are practical: a museum or heritage body navigating a scandal cannot craft a single message and broadcast it uniformly. The public’s demand for explanation will be amplified in some spaces, its demand for sanction in others, and its demand for relational repair—acknowledgment, apology, restored trust—everywhere. Governance strategies that ignore this distributed structure risk answering the wrong question in the wrong venue at the wrong moment.

The Nanjing Museum controversy will eventually fade from feeds, but the methodological lesson endures. By combining transformer-based topic modeling with a theoretically grounded accountability framework, event-anchored sampling, and explicit sensitivity analysis, Li, Ma, and Lu have shown how the anatomy of public judgment can be dissected without flattening it. Cultural heritage institutions, which increasingly find their crises adjudicated in real time by millions of strangers across incompatible platforms, now have a sharper map of the terrain they must navigate: not one court of public opinion, but many overlapping ones, each weighing punishment, proof, and principle in its own proportions.

Subject of Research: Cross-platform topic modeling of public accountability discourse during the Nanjing Museum donated-artifact controversy

Article Title: Cross-platform public judgment in a cultural heritage crisis: A topic modeling study of the Nanjing Museum donated-artifact controversy

Article References: Li, W., Ma, M., & Lu, J. (2026). Cross-platform public judgment in a cultural heritage crisis: A topic modeling study of the Nanjing Museum donated-artifact controversy. PLOS One, 21(10), e0360658. https://doi.org/10.1371/journal.pone.0360658

Image Credits: AI Generated

DOI: 10.1371/journal.pone.0360658

Keywords: Nanjing Museum, donated artifacts, cultural heritage crisis, BERTopic, topic modeling, distributed accountability, Douyin, Bilibili, Rednote, crisis communication, platform studies, public judgment

Hospital fires are rare, but their consequences can be catastrophic when preparedness plans are outdated or untested. Unlike office buildings or residential towers, hospitals concentrate people who cannot simply run: patients who are bedridden, sedated, ventilator-dependent, or tethered to life-support equipment. Evacuation decisions must therefore balance patient safety against staff availability, environmental hazards, and the clinical imperative to keep critical care running continuously. Previous case studies from Iran and the United States have reinforced the value of structured planning, interdisciplinary coordination, and rigorous post-incident analysis. The Ramathibodi incident adds a fresh and unusually well-documented data point to that literature, because the authors were able to draw on institutional observations and operational records from a real, large-scale evacuation in a complex urban healthcare environment.

The immediate technical challenge was access. When fire rescue teams arrived, they were hampered by outdated building blueprints that failed to mark critical items such as flammable materials and chemical storage. The confusion delayed responders trying to reach the seat of the fire, a failure with potentially severe consequences in a structure housing intensive care units. The problem was ultimately solved through improvisation: hospital personnel familiar with the building physically guided responders and relayed information about key structural features in real time. The blaze was brought under control, but thick smoke and a strong odor persisted, forcing the closure of the southern wing of Building 1 from the first through the ninth floor. Structural inspections were required before any reentry, which meant that all 191 patients in the affected zone had to be relocated to safer areas of the campus.

Command and control revealed both strengths and weaknesses in the hospital’s emergency architecture. Hospital policy assigned incident command to the deputy director during off-hours, but in the opening phase the response was led by an on-duty emergency medicine physician who was physically present on-site and could begin coordinating immediately. As more personnel converged, the operational structure was split into two parallel lines: the head of the emergency medicine department handled external coordination with disaster management authorities, fire services, and rescue teams, while the deputy director oversaw internal coordination of nursing, patient evacuation, and clinical logistics. Both reported to the Dean of the Faculty of Medicine throughout the event. This temporary divergence from the formal Incident Command System, the authors note, mirrors findings by other researchers showing that crisis leadership in complex hospitals often evolves dynamically under time-critical constraints rather than following a rigid template.

Communication was the most visibly strained link in the chain. The hospital used multiple channels simultaneously, including handheld radios, public address systems, mobile phones, and the LINE messaging application, adapting a preexisting hierarchy known as the 1:20 LINE system for real-time coordination. Dormitory-based healthcare staff voluntarily joined the operation as the night wore on. But in the initial phase, command messages were confused and many personnel, including on-duty physicians unfamiliar with fire evacuation procedures, were not clearly informed of their assigned roles. Only once clearer communication channels were established did responsibilities crystallize and coordination improve. The authors argue that this experience underscores the need for a predefined, structured, multi-channel communication plan, with a single authoritative channel for command orders, role-specific authority, and regular drills that test every platform under realistic conditions.

The evacuation itself was executed in two technical phases. Patients were first moved laterally, a horizontal evacuation, from the smoke-affected southern wing to the northern wing of the building, and then vertically using elevators and stairwells as needed. Identification relied on admission wristbands and event-specific neck-tag labels, and patients were grouped by ward with their care teams accompanying them to temporary staging areas. Notably, these staging areas were improvised on-site and had never appeared in prior plans or drills. They were categorized by resource dependency rather than patient vital signs: Red zones for critical care devices, Yellow zones for general supportive equipment, and Green zones for unused devices. The most critical patients were prioritized in a large auditorium in a nearby building equipped with emergency supplies. This resource-oriented triage approach, the authors point out, aligns with simulation-based recommendations from prior evacuation studies, which argue that classifying patients by equipment dependency streamlines movement far more effectively than vital-sign-based schemes when large populations must be relocated.

The hospital’s existing Buddy Ward system, in which each ward is paired with a designated receiving ward, proved helpful but insufficient for a high-volume event. Because the fire affected so many wards simultaneously, the hospital needed centralized waiting areas where patients from multiple units could be gathered, re-screened, and then allocated to suitable destination wards. Patients were ultimately redistributed between the northern wing of Building 1 and the Somdech Phra Debaratana Medical Center, located 300 meters away, with ward-mates kept together wherever possible to preserve clinical continuity. The Ambulance Referral Unit and the Emergency Medical Operations team carried out the transfers, coordinating by patient category and the readiness of receiving wards. The authors emphasize that previous drills had focused only on single-ward scenarios, and the real incident exposed the gap between partial exercises and the demands of a full-building evacuation.

The aftermath reshaped hospital operations. Engineering teams assessed the affected areas, leading to a one-week closure of the southern wing and the temporary suspension of elective surgeries and outpatient services. Radiology and laboratory departments were the hardest hit, requiring long-term relocation. The hospital’s risk management team subsequently revised its business continuity plan to emphasize large-scale evacuation scenarios, staff training, and building-wide simulation exercises. Analyzing the event through the 4S framework of staff, stuff, structure, and systems, the authors identified gaps at every level: staff needed clearer roles and standardized recruitment for emergencies; supplies required rapid mobilization protocols; structures suffered from outdated blueprints and the absence of dedicated evacuation elevators; and systems revealed the need for incident command protocols that are simultaneously standardized and flexible.

The report also translates these lessons into concrete recommendations for hospital design and preparedness. For new construction, the authors advocate dividing buildings into separate wings connected by adequate corridors to enable horizontal evacuation, installing dedicated evacuation elevators in each wing, and incorporating ramps with gradients gentle enough for patient beds to be wheeled directly to ground level, a structural feature they describe as greatly enhancing the feasibility of vertical evacuation. Blueprint maintenance should be systematic, with regular updates after any renovation and clear marking of medical gas pipelines, electrical systems, and hazardous material storage, so that both hospital staff and external responders can navigate efficiently during emergencies. A rapid-response engineering unit should be established to assess building integrity immediately after any incident.

Perhaps the most consequential takeaway is philosophical: the command system that works is the one everyone understands, even if it departs from the textbook. Ramathibodi is now adjusting its Incident Command System into a three-component framework, with emergency incident management under Engineering and Security Unit Services, patient management under the Hospital Director, and support services covering data, information technology, finance, supplies, and corporate communications, all coordinated under the Dean’s leadership. The authors conclude that hospitals, especially those in dense urban settings with complex infrastructure, should implement comprehensive building-wide evacuation plans, establish cross-platform communication protocols, and conduct regular full-scale simulation exercises. The lessons from this Bangkok fire, they argue, are transferable to tertiary hospitals and smaller regional facilities alike, provided each institution adapts them to its own resources and capacities. In a warming, increasingly disaster-prone world, that message resonates far beyond a single hospital’s smoke-filled corridors.

Subject of Research: Hospital fire evacuation and emergency response at a tertiary hospital in Thailand

Article Title: Hospital fire evacuation and emergency response: a case study from the university-affiliated tertiary hospital in Thailand

Article References: Pitanukroh, P., Siripakarn, Y., & Tienpratarn, W. (2025). Hospital fire evacuation and emergency response: a case study from the university-affiliated tertiary hospital in Thailand. Journal of Emergency and Disaster Medicine, 1(1), Article 3. https://doi.org/10.1007/s44467-025-00002-9

Image Credits: AI Generated

DOI: 10.1007/s44467-025-00002-9

Keywords: hospital fire, patient evacuation, incident command system, disaster preparedness, emergency medicine, triage, vertical evacuation, hospital infrastructure, crisis communication, Thailand, Ramathibodi Hospital, business continuity

The research, conducted by Hani Abdelhadi of Meiji University’s School of Commerce, analyzed the institutional responses of 29 major Japanese universities to the two conflicts. The results reveal a profound asymmetry. Twenty-eight of the 29 institutions—96.6 percent—issued public statements supporting Ukraine, and 27 of those backed their words with concrete aid measures such as emergency scholarships and streamlined admissions for Ukrainian students. By contrast, only three of the 29 universities—10.3 percent—addressed the Palestine-Israel situation at all, and none of those offered any material support. Both crises, the study notes, involved civilian deaths exceeding 10,000, destruction of educational infrastructure, mass displacement of students and academics, determinations by international legal bodies, and extensive global media coverage, making differential responses difficult to explain as a matter of capacity or awareness.

To interpret this pattern, Abdelhadi draws on two established theoretical frameworks. The first is Oliver’s 1991 theory of strategic responses to institutional processes, which describes how organizations choose among tactics ranging from acquiescence to manipulation when facing external pressures. The second is Brunsson’s 2006 concept of organized hypocrisy, which captures the gap between what organizations say, what they decide, and what they actually do. Combining these lenses, the study proposes a new concept—strategic neutrality—to describe institutional behavior in which claims of political neutrality mask a politically calculated selectivity. In other words, Japanese universities were not neutral across the board; they were vocal on one crisis and silent on the other, and that asymmetry itself constitutes a strategic choice.

The timing and content of the responses matter as much as their frequency. Ukraine statements typically appeared within days of the invasion and were framed in the language of international solidarity, democracy, and academic freedom. The three universities that did address Gaza moved at strikingly different speeds: Ryukoku University issued a statement just five days after the October 2023 outbreak of hostilities, Nagasaki University responded after 33 days, and Sophia University took 234 days, releasing its statement in late May 2024. Notably, the rapid responses by Ryukoku and Nagasaki matched the speed typical of Ukraine statements, suggesting that institutional capacity was never the limiting factor. Nagasaki University, which had also accepted 40 Ukrainian students, demonstrated that peace-oriented institutions can sustain engagement on crises regardless of whether their stance aligns with Japan’s national diplomatic posture.

What distinguished these three institutions from their peers? The study identifies a common thread: explicit value foundations. Ryukoku is a Buddhist university, Sophia is Catholic, and Nagasaki carries a peace-oriented institutional identity rooted in its history as a survivor of atomic bombing. These normative anchors, the research suggests, gave their leaders a principled basis for action that transcended diplomatic calculation. By contrast, other religiously affiliated universities—including Rikkyo (Anglican), Doshisha (Congregational), Kwansei Gakuin (Methodist), and Aoyama Gakuin (Methodist)—did not issue Palestine statements, indicating that religious heritage alone was insufficient without a clearly articulated contemporary value commitment.

Perhaps the most striking finding concerns Japan’s flagship internationalization program. Universities designated as Super Global Universities (SGU) receive substantial government funding precisely because of their mandates to internationalize and engage with the world. Yet the study found that SGU institutions demonstrated complete silence on Palestine while unanimously supporting Ukraine. This, Abdelhadi argues, exposes a fundamental contradiction between performative and substantive internationalization. Internationalization, in this reading, has been reduced to market-driven activities—recruiting international students, climbing global rankings, and building partnerships with strategically convenient countries—rather than a genuine commitment to global engagement and universal academic values. When geopolitical pressures made engagement with one crisis costly, the market-oriented model of internationalization offered no resources for principled action.

The structural context of Japanese higher education helps explain why. The study describes a governance regime characterized by managed autonomy, in which universities are formally independent but operate under subtle and pervasive pressures from the Ministry of Education, Culture, Sports, Science and Technology (MEXT). One mechanism is amakudari—the circulation of former ministry officials into university presidencies and senior administrative posts—which creates information asymmetries favoring compliant institutions and exerts quiet pressure toward conformity. Japan’s official diplomatic position, which aligned strongly with Western support for Ukraine while maintaining a more cautious stance on the Middle East, thus filtered through the governance system into institutional communication. Universities reading the political winds found that supporting Ukraine carried reputational benefits and no risks, while addressing Gaza risked friction with government funders and key international partners.

Cultural factors add a further layer. The study invokes the Japanese concepts of tatemae—the publicly expressed principles that maintain social harmony—and honne—the actual intentions held privately. Abdelhadi is careful to note that this is not hypocrisy in the Western moralizing sense but a culturally legitimate way of managing contradictions. Applied institutionally, however, the tatemae of humanitarian solidarity was deployed selectively, voiced where it aligned with national interests and withheld where it did not. The result is what the study terms strategic silence: an organizational practice in which saying nothing is itself a communicative act, one that protects institutional relationships while allowing the appearance of principled neutrality to stand unexamined.

The theoretical contributions extend beyond Japan. The study demonstrates how managed autonomy in non-Western contexts produces distinctive patterns of organizational response that differ from the institutional neutrality debates playing out in the United States and Europe, where universities have faced their own controversies over statements on Gaza and Ukraine. It also extends organized hypocrisy theory through the concept of strategic silence, showing that silence can function as a deliberate organizational resource rather than a mere absence of communication. The findings carry implications for evaluating university social responsibility amid geopolitical pressures, and for assessing whether internationalization policies in different governance regimes produce institutions capable of principled action or only of strategically calibrated performance.

For the global higher education community, the study poses a pointed question: if universities claim universal values of human dignity and academic solidarity, what does it mean when those values are applied to one humanitarian catastrophe but not another of similar magnitude? The exceptional cases—Ryukoku, Nagasaki, and Sophia—suggest that institutional responses require clear normative anchors beyond market-driven internationalization. Without such anchors, the study implies, universities will continue to speak when speaking is safe and stay silent when silence is strategic, leaving the ideal of the globally engaged university hollow at precisely the moments it matters most.

Subject of Research: The asymmetric institutional responses of Japanese universities to the Ukraine and Gaza humanitarian crises

Article Title: The politics of institutional silence: Japanese universities’ asymmetric responses to international humanitarian crises

Article References: Abdelhadi, H. (2026). The politics of institutional silence: Japanese universities’ asymmetric responses to international humanitarian crises. Higher Education. https://doi.org/10.1007/s10734-026-01761-8

Image Credits: AI Generated

DOI: 10.1007/s10734-026-01761-8

Keywords: Japanese higher education, strategic neutrality, organized hypocrisy, university internationalization, Super Global Universities, institutional theory, humanitarian crises, Ukraine, Gaza, academic freedom, university governance, crisis communication