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What humanitarian work psychology brings to occupational health psychology
(Springer, 2026-09-28) Saxena M; Carr S; Hopner V; Reichman W
This paper introduces a newly emerged sub-discipline in work studies – Humanitarian Work Psychology (HWP) – to researchers and practitioners in Occupational Health Psychology (OHP). Focused initially on the eradication of working poverty, under the United Nations (UN) Sustainable Development Goals (SDGs), HWP has since its inception contributed to the health and well-being of marginalized workgroups globally. Until today, however, those contributions in HWP have not been integrated with OHP. Key strands in the connecting nexus include how to: (1) set living wages that protect occupational and thus wider public health; (2) tackle infectious diseases as occupational health hazards; (3) bring valuable and skilled informal work closer into the ambit of OHP; and perhaps the toughest challenge of all, help to (4) combat unfree work. OHP is a cross-cutting theme in all four, and we call for broaden-and-build training initiatives and greater supervisor awareness of links not only between HWP and OHP, but also with the wider social sciences and management disciplines including corporate social responsibility, human resources, and policy and public health.
Race‐centred me‐searching for racialised asian researchers in Aotearoa New Zealand
(John Wiley & Sons, 2026-08-14) Aquino P; Tan K; Dam L; Cassim S; Nguyen MH; Dutta M
‘Me-search’, or the intentional process of exploring one's positionality, is increasingly recognised as foundational to decolonising and anti-racist research. Yet in Aotearoa New Zealand, racialised Asian researchers have few praxis-oriented resources that speak to our liminal positioning within Eurocentric academic institutions and that recognise both our responsibilities to Te Tiriti o Waitangi and to the communities we research with and belong to. Through a series of tuakana–teina conversations, six Asian academic researchers engaged with questions structured around the 4Rs: racialisation, restructuring, relationality and reflexivity. We present narrative summaries that foreground context, tensions and praxis, demonstrating what me-search can feel like in practice: iterative, relational and responsive to shifting responsibilities. Key threads for the conversations included trust and ‘relationships first’ approaches, refusing inclusion as ‘diversity’ without Te Tiriti accountability; naming whiteness and accounting for privilege and complicity in knowledge production; and building from cultural selves, ancestors and Asian philosophies while resisting the homogenisation of ‘Asian’. We offer the 4Rs as a flexible starting point that invites adaptation, critique and ongoing collective learning with scholars, policy colleagues and communities, towards accountable, race-centred research practices.
Large language models for scientometric mapping of scientific controversy: A validated hybrid AI–Human framework
(Springer, 2026) Susnjak T; Palffy C; Zimina T; Altynbekova N; Garg K; Gilbert L
This study advanced large language model (LLM)-enabled scientometric methods for analysing contested scholarly communication through a hybrid AI–human workflow for large-scale mapping of stance and themes in scientific corpora. We treated the literature as a large textual record and examined how competing knowledge claims were distributed across venues and over time. We used the Lyme disease controversy as a testbed, applied multiple LLMs to thousands of abstracts, and validated the outputs with domain experts to trace longitudinal shifts in authorial stance and thematic focus. We examined how alternative perspectives were distributed across venues and themes, how these distributions changed over time, and how venue stratification shaped the visibility of different epistemic positions. Results showed persistent asymmetries in publication placement and citation attention, with higher-impact venues disproportionately hosting one perspective relative to the other, while thematic mapping identified recurring fault lines around disputed claims. Validation showed substantial alignment between LLM outputs and expert ratings across classification tasks (Cohen’s kappa 0.58–0.71), broadly comparable to expert–expert agreement and sufficient for corpus-level scientometric analysis. The framework offers a reproducible model of human–LLM integration in literature-based scientometrics and enables venue- and time-resolved indicators for monitoring controversies and publication imbalances.
Forecasting tephra fall building impacts and losses at Awu volcano, Sangihe Island (Indonesia)
(Elsevier, 2026) Tennant E; Jenkins S; Widiwijayanti C; Basuki A; Purnamasari H
Moving beyond volcanic hazard assessment to forecast how hazards affect communities provides valuable information for risk mitigation. Awu, a remote volcano on Sangihe Besar Island, Indonesia, is currently experiencing unrest (December 2025). With the entire population living within 45 km of the volcano, there is a need for actionable risk information. We integrated probabilistic tephra fall hazard analysis with building exposure and vulnerability information to forecast losses from a likely VEI 4 eruption. To address limited exposure data, we extracted building roof types from satellite imagery and applied Bayesian inference to combine existing vulnerability models into a hybrid framework suited to local conditions. Results indicate a 95% probability of exceeding ∼$11 million USD (∼179 billion IDR) in building damage and a 75% probability of exceeding $25 million USD (∼407 billion IDR). Losses are concentrated in the northern districts, with Tahuna, the capital most affected. Losses at Awu were not well forecast by column height and wind conditions, parameters currently used to trigger insurance payouts from volcanic catastrophe risk bonds. Existing probabilistic volcanic loss calculations often couple a single hazard footprint representing the Nth percentile intensity with exposure and vulnerability data. Here we calculated loss for each individual hazard footprint computing 100 million values to capture uncertainty in both hazard and vulnerability. Losses calculated using the median hazard footprint were 5% higher than the median of the loss population. In addition to supporting decision making during the current unrest, our work presents key advancements in volcanic risk assessment that may be applied to other locations worldwide.
Global urban exposure near volcanoes is increasing: a spatio-temporal analysis from 1975 to 2030
(Springer, 2026) Meredith ES; Teng RXN; Jenkins SF; Tennant E; Lallemant D; Hayes J; Biass S
Urban populations are increasingly moving into hazardous areas, which leads to widespread and frequent impacts from hazard events. Although these exposure trends have been quantified for other hazards, global exposure analyses for volcanic hazards remain limited. Here, we quantify global and regional changes in city exposure to volcanic hazards through time. With GHS-UCDB and GHS-POP datasets, we use spatio-temporal metrics to track urban expansion within 100 km of volcanoes active in the Holocene from 1975 to 2020, with projections to 2030. The number of cities within 100 km of volcanoes is projected to more than double, with populations increasing by 154%. The proportion of people within 100 km of volcanoes who live in cities increases from 44% (~186 million) in 1975 to over 50% by 2030 (~473 million). Exposed city populations concentrate within 20–30 km from volcanoes, and average urban population density generally decreases closer to volcanoes. Exposure growth is highest in Southeast Asia and East Africa. Most cities expand and densify, with many growing faster toward nearby volcanoes. Case studies show how urban expansion intersects with volcanic impact pathways. These trends indicate that urban expansion is amplifying volcanic risk and highlight the need to integrate hazard data into urban planning.