The core of the commentary is a definitional challenge. Grimaldi asks what the word science actually means when applied to water, and answers that it must encompass the full chain from observation and modeling to engineering, governance, and on-the-ground implementation. A discipline that produces elegant models of catchment behavior but cannot help a municipality protect its drinking water supply has, by this standard, fallen short of its purpose. The framing echoes a broader conversation taking place across the geosciences. Recent commentary in Nature Water by Kaveh Madani and Karl Sjöstrand, cited in the piece, and a 2024 discussion in Hydrological Sciences Journal led by Berit Arheimer and colleagues have both questioned whether the hydrological community is organized to deliver the knowledge society needs in a usable form. Günter Blöschl, writing in Nature Water in 2026, has similarly weighed in on the relationship between hydrological research and societal relevance.

The technical substance of the concern is worth unpacking. Modern hydrology has become remarkably sophisticated at quantifying uncertainty, assimilating satellite observations into land surface models, and simulating streamflow at continental scales. Machine learning approaches now rival physically based models in predictive skill for many tasks, and global flood and drought databases have grown enormously in coverage. Yet the commentary suggests that this scientific productivity has not translated proportionally into reduced vulnerability. The reason, in Grimaldi’s account, is structural rather than intellectual: the incentives that govern careers, funding, and journal placement reward novelty and publication counts, not the slower, messier, and often unglamorous work of co-producing solutions with water managers, engineers, and affected communities.

This incentive problem has a well-documented anatomy. Hiring and promotion committees at research universities typically evaluate candidates on publication records, citation metrics, and grant income. Translational activities, such as serving on technical advisory boards, developing open operational tools, or engaging in prolonged dialogue with river basin authorities, are difficult to quantify and often count for little. A young hydrologist who spends two years helping a regional agency redesign its drought early warning system may produce fewer papers than a peer who publishes rapidly on a fashionable modeling topic. The commentary implies that this calculus systematically diverts talent away from exactly the interface where water science meets water crises, and that the discipline’s collective capacity to solve problems atrophies as a result.

The consequences of this gap are not hypothetical. Water-related disasters have grown in frequency and severity as climate change intensifies the hydrological cycle, warmer air holds more moisture, and precipitation extremes become more pronounced. At the same time, groundwater depletion, aging infrastructure, and diffuse pollution threaten water security in both wealthy and developing regions. The commentary’s framing of society as increasingly vulnerable to escalating water crises reflects a widely shared assessment in the water community: the scientific knowledge needed to anticipate many of these problems substantially exists, but the mechanisms for moving that knowledge into policy, planning, and infrastructure decisions remain weak. The result is a persistent and troubling lag between what hydrology knows and what societies do.

Grimaldi’s argument also carries an implicit critique of how scientific impact is defined in the water domain. Bibliometrics capture the circulation of ideas among researchers, but they say nothing about whether a flood forecasting improvement reached an emergency management office, whether a water quality study changed a treatment protocol, or whether a modeling framework was adopted by a basin authority. The commentary suggests that water science should be evaluated by its collective capacity, a phrase that shifts attention from individual achievement to the performance of the whole enterprise. That reframing has significant implications: it implies that solutions emerge from networks of researchers, practitioners, and institutions rather than from heroic individual discoveries, and that the health of those networks is itself a scientific asset worth measuring and protecting.

The piece situates itself within a recent wave of soul-searching in the field. The Madani and Sjöstrand commentary in Nature Water earlier in 2026, the Arheimer-led paper in Hydrological Sciences Journal in 2024, an editorial statement in Nature in 2024, and Blöschl’s 2026 Nature Water piece together form a sequence of high-profile interventions questioning the discipline’s direction. That such arguments are appearing in the field’s leading venues suggests a genuine inflection point rather than an isolated complaint. The hydrological sciences, which consolidated as a discipline in the twentieth century around measurement, process understanding, and modeling, are now being asked to justify their organization in terms of societal outcomes, a demand that many other fields, from climate science to public health, have faced in their own ways.

What would a solutions-oriented water science look like in practice? The commentary’s logic points toward several concrete shifts. Research assessments would need to credit engagement with practitioners and the development of operational tools alongside publications. Funding programs would need to support the sustained, often decades-long partnerships between scientists and water agencies that real-world implementation requires, rather than funding only short-term hypothesis-driven projects. Journals could elevate papers documenting the performance of solutions in practice, including negative results, which currently struggle to find a home. Universities would need to recognize translational work in promotion criteria. None of these changes is technically difficult, but each runs against entrenched institutional habits, which is precisely why the commentary frames the problem as one of the reward system rather than of individual motivation.

There is also a deeper epistemological point embedded in the argument. Turning knowledge into solutions is not a mechanical afterthought to research; it often generates new scientific questions. Working with a flood-prone city exposes gaps in understanding of urban hydrology and pluvial flood dynamics. Designing drought management with a farming region reveals uncertainties in soil moisture dynamics and crop water demand that no global model captures. In this sense, the commentary argues for a two-way street: engagement with practice is not a tax on science but a source of scientific insight, and a discipline cut off from practice risks becoming scientifically narrower even as its publication output grows. The most productive water science, on this view, is the kind that keeps one foot firmly in the river basin and the other in the journal.

The commentary closes on a note that is less a diagnosis than a challenge. If water science is defined as the collective capacity to deliver solutions, then every stakeholder in the enterprise, from individual researchers to journal editors to funding agencies to universities, shares responsibility for whether that capacity grows or shrinks. As water crises intensify across the globe, the cost of a discipline optimized for papers rather than practice will be measured not in citation counts but in flooded homes, dried wells, and contaminated supplies. Grimaldi’s intervention, brief as it is, adds a clear voice to a growing chorus insisting that the water research community reorganize itself around the problems it was created to solve, and that the time for that reorganization is now, while the stakes are still rising and the window for effective adaptation remains open.

Subject of Research: The misalignment between academic reward systems and societal problem-solving in water science

Article Title: Water science is more than papers

Article References: Grimaldi, S. (2026). Water science is more than papers. Nature Water. https://doi.org/10.1038/s44221-026-00726-6

Image Credits: AI Generated

DOI: 10.1038/s44221-026-00726-6

Keywords: water science, hydrology, Nature Water, research incentives, science policy, water crises, knowledge translation, research management, water security, floods, drought, academic publishing

The central claim of the paper is that co-production is not a courtesy add-on to rigorous science but a structural feature that changes what gets studied and how. In eating disorders, the authors argue, the gap between traditional academic expertise and lived experience is particularly consequential. These are complex, heterogeneous conditions in which treatment engagement, therapeutic alliance, and the lived meaning of recovery are difficult to capture with conventional outcome measures alone. When trial designs are drafted without the people who will live through the interventions, studies can end up asking questions that matter less to patients, using outcome measures that feel irrelevant or even harmful, and recruiting through channels that people with eating disorders do not trust.

What distinguishes this article from much of the existing literature on patient and public involvement is its insistence on specificity. Rather than offering general principles, the authors detail strategies and tools for shared decision-making across the entire research cycle. A key illustration in the paper describes the decision-making process that led to the selection of a trial design: researchers and people with lived and living experience shared resources through a structured pros-and-cons analysis, and shared power through an equal voice in the final decision. That pairing, of shared information and shared authority, is presented as the technical core of genuine co-production. Without shared resources, lived-experience partners are consulted but cannot meaningfully evaluate options; without shared power, their input can be overruled at the last moment by conventional hierarchies.

The authorship itself embodies the model. The team includes clinicians and neuroscientists such as Stephen Touyz, Claire Foldi, and Elizabeth Rieger, occupational therapists and health services researchers including Genevieve Pepin, Sanna Barrand, Leah Brennan, and Anita Raspovic, and lived-experience leaders such as Shannon Calvert, an independent lived-experience educator and advisor, Sam Ikin, Romany McGuffog, and Julian Robinson. It also includes Leilani Darwin of First Nations Co., reflecting an explicit commitment to cultural as well as experiential diversity in research governance. The authors write from the Australian Eating Disorders Research and Translation Centre, a national body created to accelerate the movement of evidence into practice, and the article reads as an internal report of what that infrastructure has learned about making collaboration real rather than symbolic.

The timing of the paper is significant. Eating disorders affect millions of people worldwide and carry among the highest mortality rates of any psychiatric illness, yet the evidence base for many treatments remains surprisingly thin. Recent systematic reviews and trial registries have highlighted persistent problems: small samples, high dropout, inconsistent outcome measures, and interventions that patients describe as misaligned with their needs. At the same time, funding bodies including the National Institute for Health and Care Research in the United Kingdom have issued formal guidance on co-producing research projects, signalling that the era in which patient involvement could be a tokenistic paragraph in a grant application is drawing to a close. The Australian team’s contribution is to ask what it would actually take, method by method, to satisfy that ambition in the demanding context of a clinical trial.

Technically, the full-cycle approach treats co-production as a set of decision points distributed across the trial lifecycle. Early in the cycle, lived-experience partners help define the research question, ensuring that the trial addresses outcomes that matter to patients, such as quality of life, functional recovery, and the experience of care, alongside the symptom-based measures familiar to regulators. During design, the shared pros-and-cons analysis of trial options allows both groups to weigh trade-offs: between rigorous blinding and pragmatic delivery, between intensive measurement and participant burden, between novel interventions and established ones. During conduct, co-production extends to recruitment messaging, retention strategies, and the interpretation of interim findings, areas in which people with lived experience often bring practical knowledge that statisticians and clinicians lack. Finally, at dissemination, partners help translate findings for the communities that will use them.

The article also engages honestly with the difficulties. Co-production takes time, and time is the scarcest resource in competitive research environments. It requires training on both sides: researchers must learn to share power, and lived-experience partners must be supported to engage with technical material such as effect sizes, randomisation schemes, and safety monitoring without being overwhelmed or tokenised. Payment and recognition of lived-experience contributors raise questions about equity and about the risk of creating a small class of professional patients. There are also epistemic tensions: a trial must ultimately produce a defensible answer to a specific question, and unlimited consensus-seeking can paralyse design decisions. The authors’ response is procedural rather than rhetorical, offering checklists and structured tools, including a co-production quick-start checklist developed by the Australian centre, that convert good intentions into auditable practice.

The broader significance of the paper extends beyond eating disorders. Co-production has been advocated across mental health research for years, but systematic reviews have found that reports of patient and public involvement rarely describe the methods in enough detail to be reproduced, and evaluations of its impact are sparse. By documenting a full-cycle model in a journal read by mental health methodologists, the Australian team is effectively proposing a standard of reporting: if a trial claims to be co-produced, it should be able to show where decisions were shared, what resources were made common, and how disagreements were resolved. That kind of transparency could allow the field to test, rather than assume, whether co-produced trials recruit better, retain participants longer, and produce findings that change practice.

There is also a scientific, not merely ethical, argument embedded in the approach. Eating disorders are characterised by ambivalence about treatment, shame about symptoms, and a history of feeling misunderstood by health systems, all of which affect trial participation and measured outcomes. Interventions designed with input from people who have navigated those experiences may achieve stronger engagement, more ecologically valid protocols, and outcome measures that capture genuine recovery. The authors position lived experience as a form of expertise that complements, rather than competes with, biomedicine and clinical psychology, a framing consistent with the centre’s translation mission and with growing international interest in embedding experiential knowledge in research governance.

For a field that has struggled to translate decades of research into better outcomes, the paper’s message is quietly radical: the next advance in eating disorder treatment trials may come not from a new drug or a new therapy manual, but from redesigning who holds the pen when trials are designed. The full-cycle model described by Verdejo-Garcia, Calvert, Maguire, and their colleagues offers a concrete, replicable architecture for that redesign, and its publication in a leading journal suggests that shared decision-making between researchers and people with lived experience is moving from aspiration to method. Whether the model improves trial performance will now be tested in the studies it shapes, but the standard it sets, equal voice backed by shared resources at every stage of the research cycle, is likely to influence how co-produced mental health research is planned, reported, and judged for years to come.

Subject of Research: Co-production of clinical trial research for eating disorder treatment with people who have lived experience

Article Title: A full-cycle approach for co-producing trial research for treatment of eating disorders

Article References: Verdejo-Garcia, A., Calvert, S., Pepin, G., Barrand, S., Bonfim Pacheco, L., Brennan, L., Darwin, L., Foldi, C., Ikin, S., Marks, P., McGuffog, R., Raspovic, A., Robinson, J., Rieger, E., Touyz, S., & Maguire, S. (2026). A full-cycle approach for co-producing trial research for treatment of eating disorders. Nature Mental Health. https://doi.org/10.1038/s44220-026-00734-1

Image Credits: AI Generated

DOI: 10.1038/s44220-026-00734-1

Keywords: eating disorders, co-production, clinical trial design, lived experience, patient and public engagement, mental health research, shared decision-making, research management, Nature Mental Health, Australia, treatment trials, research translation