The project is coordinated by Wageningen University in the Netherlands, one of the world’s leading institutions in environmental and life sciences research. It brings together a consortium of ten partners from eight European countries: the Netherlands, Germany, Sweden, Switzerland, Finland, Italy, Belgium and Bulgaria. This geographic and disciplinary spread is deliberate. The fragmented and often inconsistent understanding of biodiversity across Europe is one of the problems BIOLOGUE was designed to address, and a consortium that spans north and south, east and west of the continent is better placed to capture the full range of perspectives, values and conflicts that shape the debate.

From 23 to 25 September 2026, the consortium gathered in Bonn, Germany, for its kick-off meeting, hosted by the European Forest Institute, an international organisation with deep expertise in forest-related policy and research. The meeting was the first time all partners came together in person, and it served as the working launch of the project. Each partner presented its plans, core objectives and end goals, and the group discussed how it will collaborate over the coming years. Crucially, the Bonn meeting laid the foundation for the first concrete steps towards what the project calls transforming biodiversity conversation between stakeholders, experts and society.

The rationale behind BIOLOGUE rests on a diagnosis that will be familiar to anyone following European environmental policy. Climate change and biodiversity loss are widely described as a systemic, intertwined crisis, and addressing it demands not only sound science but also social trust, shared understanding and broad engagement. Yet the biodiversity conversation in Europe is fractured. Debates over nature restoration, competing framings of what nature is worth, and the plural values that different actors assign to ecosystems have produced a landscape of misunderstanding and mistrust. BIOLOGUE’s central premise is that these communication failures are not a side issue but a significant driver of the crisis itself, and that repairing them can unlock better policy and better outcomes on the ground.

To do this, the project will deploy a suite of innovative methods, beginning at continental scale. BIOLOGUE will run EU-wide surveys designed to map how Europeans perceive biodiversity, giving policymakers an evidence base they can use to navigate differences in opinion and propose long-lasting solutions. These surveys will function as a systematic listening exercise, capturing the views of citizens and stakeholders across member states rather than relying on the anecdotal impressions that so often dominate policy debates. The ambition is to replace assumption with measurement, and to give decision-makers a clearer picture of where societal views align with, or diverge from, the direction of policy.

A second strand of work brings artificial intelligence into the analysis of public discourse. The project will apply AI-driven analysis to online texts and images, using computational methods to identify actor clusters, value conflicts and opportunities for constructive dialogue and cooperation in biodiversity conservation. In practice, this means scanning the vast, noisy landscape of digital communication to find where different communities stand, where their framings clash, and where common ground might exist. Rather than treating online disagreement as an obstacle, BIOLOGUE aims to mine it for insight, locating the fault lines along which dialogue could either collapse or, with the right intervention, become productive.

Bringing people together is the task of the project’s stakeholder engagement platform, known as the Dialogue Co-Lab. This wide-ranging platform is designed to bridge institutional silos and foster mutual learning between actors who are often disconnected: scientists who rarely meet communicators, policymakers who rarely hear from local practitioners, and civil society groups whose perspectives seldom reach the rooms where decisions are made. By creating a structured space for exchange, the Dialogue Co-Lab aims to turn the fragmented cast of European biodiversity actors into a network capable of learning from one another and building shared positions.

Communication itself will be tested and refined through practice. The project will co-design, test and deliver innovative online and offline communication on biodiversity through six Communication Pilots and thirty Inspirational Case Studies. These pilots and case studies will serve as living laboratories, where new approaches to conveying the biodiversity crisis can be tried, evaluated and adapted. The co-design element matters: rather than broadcasting messages at audiences, BIOLOGUE intends to develop communication together with the people it is meant to reach, reflecting the project’s broader commitment to inclusivity. The resulting lessons will feed into a repository of best practices in stakeholder engagement and communication.

The project’s most visible legacy will take the form of two online resources. The first is the European Biodiversity Barometer, described as the first of its kind, which will compile findings on biodiversity perceptions across the continent in a single, continuously updated reference. The second is the Biodiversity Communication Toolbox, a repository of best practices in stakeholder engagement and communication that practitioners, institutions and communicators can draw on long after the project ends. Together, these tools are intended to help European policymakers better understand societal views on biodiversity and to provide instruments for inclusive decision-making, while also giving society a clearer understanding of the biodiversity crisis and empowering diverse groups to take part in the conversation.

Taken together, BIOLOGUE’s approaches are designed to deliver comprehensive knowledge on biodiversity perceptions, introduce new communication approaches, and apply inclusive dialogues spanning science, policy, society and media. The project’s stated end goal is to ensure the implementation of transformed and strengthened inclusive biodiversity policies across Europe. Whether that goal is achieved will depend on the coming years of surveys, pilots and dialogues, but the project’s launch marks a notable shift in emphasis: a recognition that the words, values and trust surrounding biodiversity are not peripheral to the crisis, but central to resolving it. BIOLOGUE receives funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101287518, and the project team is sharing updates on its activities through its public channels as the work begins.

Subject of Research: Biodiversity perceptions, communication and inclusive stakeholder dialogue in European policy

Article Title: Biodiversity conversation is on the brink of change as the BIOLOGUE project has been launched

Article References: Biodiversity conversation is on the brink of change as the BIOLOGUE project has been launched. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: BIOLOGUE, biodiversity, Horizon Europe, Wageningen University, science communication, stakeholder engagement, biodiversity policy, European Biodiversity Barometer, AI text analysis, Dialogue Co-Lab, climate change, European Forest Institute

The study examined the SALIENT consortium, a UK research programme funded by the Economic and Social Research Council, part of UK Research and Innovation, with additional support from the government’s Evaluation Accelerator Fund, the Department for Environment, Food and Rural Affairs and the Food Standards Agency. SALIENT’s ambition was explicitly translational: rather than conducting research in isolation and hoping policymakers would eventually take notice, the consortium set out to co-design, implement and evaluate public-facing food system interventions with government partners and food system stakeholders, targeting improvements in both health and sustainability while maintaining affordability and commercial viability. In total, forty organisations engaged with the consortium, and eight of those progressed far enough to deliver and evaluate a combined ten interventions.

To understand how and why this engagement process worked for some organisations and faltered for others, the research team, led by Sarah Shaw of the University of Cambridge’s MRC Epidemiology Unit and the University of Southampton, together with colleagues from the London School of Hygiene and Tropical Medicine, the University of Hertfordshire, the University of Liverpool and the University of Oxford, conducted a qualitative evaluation grounded in theory-based evaluation principles. The methodological approach is worth unpacking. Rather than simply asking participants whether they enjoyed the collaboration, the evaluators first constructed a theory of change, a formal description of the causal pathway through which the SALIENT process was expected to produce its intended outcomes. This artefact then served as an analytical scaffold against which the interview data could be interpreted, allowing the team to identify precisely where the assumed mechanisms of change held up and where they broke down.

The evidence base for the evaluation consisted of thirty-eight semi-structured interviews with three categories of participants: government partners, academic researchers and food system representatives. Interview transcripts were subjected to thematic analysis, a systematic qualitative method in which researchers code the data, group codes into candidate themes, and refine those themes iteratively until they capture the patterns running through the corpus. By interpreting the resulting themes in relation to the theory of change, the evaluators could trace not just what participants experienced but why the engagement process unfolded as it did, a distinction that matters enormously for anyone planning to replicate this model of collaborative research.

The first major finding concerns fragmentation. Participants described a food system landscape in which existing health and sustainability actions were scattered, disconnected and often duplicative, shaped by the differing priorities, agendas and constraints of the stakeholders involved. A local authority might be focused on food poverty, a retailer on supply chain resilience, a regulator on safety standards, and a researcher on generating generalisable evidence. None of these agendas is wrong, but their misalignment means that even well-intentioned initiatives can pull in different directions, dissipating resources and momentum. The evaluation suggests that this fragmentation is not merely an administrative nuisance but a structural barrier that any cross-sectoral collaboration must confront from the outset, ideally through explicit governance arrangements that acknowledge and mediate competing interests rather than pretending they do not exist.

Power dynamics emerged as a second, closely related theme. The researchers found that stakeholder participation was strongest when the research aligned with the stakeholder’s core goals and offered tangible benefits, and weakest when it did not. This may sound obvious, but it carries a profound implication for how collaborative research is designed. Organisations do not donate their time, staff and data to academic projects out of altruism; they engage because the collaboration serves their institutional interests, whether that is access to evidence, reputational advantage, regulatory preparedness or practical problem-solving. Where the perceived benefit was diffuse or distant, engagement thinned out. The lesson for future consortia is that the value proposition for each partner must be articulated early and honestly, and that researchers who assume stakeholders will simply rally around the scientific mission are likely to be disappointed.

The third finding is perhaps the most methodologically provocative. Pragmatic co-design processes, in which interventions were shaped jointly with stakeholders to build trust and ensure feasibility, did indeed strengthen relationships and make implementation more realistic. But the evaluation found a hidden cost: interventions designed primarily for practical acceptability sometimes had limited potential to address the critical uncertainties in the evidence base. In other words, the very compromises that made an intervention deliverable in the real world could also blunt its scientific value, leaving fundamental questions about what works and why unanswered. This tension between rigour and relevance is a perennial problem in implementation science, but the SALIENT evaluation documents it with unusual clarity, showing that co-design is not a cost-free good but a balancing act in which the research questions themselves can be diluted.

Compounding this tension, the study found that academic processes were often perceived as misaligned with stakeholders’ practical needs. Timelines built around grant cycles, ethics approvals and publication schedules rarely map neatly onto the operational rhythms of businesses and local authorities, which must respond to market pressures and political timetables. Reporting requirements, evaluation protocols and the language of research governance can feel alien to partners whose expertise lies in logistics, catering or retail. The evaluation suggests that these frictions are not trivial irritations; they shape whether stakeholders remain engaged at all, and they can determine whether the evidence produced is actually usable by the people it is meant to serve.

So what should be done differently? The authors conclude that long-term government direction, stronger accountability and appropriate incentives are needed to foster meaningful collaboration between researchers and food system stakeholders. Short, project-based funding windows, they imply, are poorly suited to the slow work of building trust across sectors. Future partnerships, the study argues, should balance flexibility with rigour, invest in sustained relationships rather than one-off consultations, and establish strong governance, communication and evaluation processes early, before disagreements about priorities and power have a chance to fester. The goal is to generate robust, scalable evidence for meaningful food system change, and the evaluation makes clear that the machinery of collaboration is not a preliminary to that evidence but a determinant of it.

The significance of this work extends well beyond the UK food sector. Governments worldwide are grappling with diet-related disease, food insecurity and the environmental footprint of agriculture, and the prevailing policy fashion favours multi-stakeholder partnerships and co-produced solutions. SALIENT’s evaluation is a reminder that these fashionable formats are neither self-executing nor universally benign. They can build trust and deliver interventions, but they can also reproduce existing inequalities of power, fragment effort and soften scientific ambition. For researchers, the message is to design engagement around stakeholders’ real incentives and to protect the evidential core of their studies. For funders and governments, the message is that meaningful food system transformation requires patient investment in the unglamorous infrastructure of collaboration: governance, accountability and time. The study, which received ethics approval from the University of Cambridge Humanities and Social Sciences Research Ethics Committees and was published open access, offers a rare, honest blueprint for the difficult work ahead.

Subject of Research: Cross-sectoral collaborative research for food system transformation

Article Title: Conducting cross-sectoral collaborative research for food system transformation: learnings from a qualitative evaluation study

Article References: Shaw, S., Huse, O., Savory, B., Cooke, N., Thompson, C., Loopstra, R., Scarborough, P., Ogilvie, D., Cummins, S., White, M., & Adams, J. (2026). Conducting cross-sectoral collaborative research for food system transformation: learnings from a qualitative evaluation study. Health Research Policy and Systems. https://doi.org/10.1186/s12961-026-01540-y

Image Credits: AI Generated

DOI: 10.1186/s12961-026-01540-y

Keywords: food systems, cross-sectoral collaboration, co-design, qualitative evaluation, theory of change, stakeholder engagement, public health, sustainability, research policy, SALIENT consortium, power dynamics, evidence-based policy

The tool, called the System for Monitoring and Assessment of Public Participation, or SysMAPP, was developed by Giovana Cioffi and colleagues at São Paulo State University in Brazil and the University of Cádiz in Spain. Its central premise is deceptively simple: procedural quality and substantive outcomes are causally linked, and only by evaluating both together can managers understand why participation succeeds in one place and fails in another. The model rests on five hierarchically organized criteria—Planning, Representativeness, Transparency, Influence, and Effectiveness—each measured through a set of indicators drawn from a systematic review of 86 documents spanning three languages and multiple continents.

The architecture of the system reflects a deliberate theoretical claim. Planning and Representativeness form the foundation: Planning establishes the legal frameworks, meeting infrastructure, and resources that allow a participatory arena to operate at all, while Representativeness determines whose interests enter the room in the first place. Transparency then acts as the axis of information flow and accountability, letting stakeholders monitor compliance and subject state action to public scrutiny. Influence captures the redistribution of decision-making power—the moment when the preceding criteria converge into actual authority over objectives, zoning, budgets, and management plans. Effectiveness sits at the apex, measuring intermediate outcomes such as social trust, conflict resolution, knowledge integration, and implemented agreements.

Building the system was a four-stage process. The researchers began with a conceptual review in Scopus and Web of Science, operationalized the findings into criteria and indicators, and validated them with eight experts from Brazil, Spain, and Portugal. A pilot application in two Spanish protected areas in the Bay of Cádiz exposed methodological limitations that were then corrected. A systematic literature review followed, screening nearly 3,000 records down to 52 peer-reviewed studies and 34 gray-literature documents. The team mapped 407 indicators and variables from this corpus, assigned 358 of them to the five criteria, and consolidated functionally related variables into streamlined, measurable indicators compatible with the data that protected areas routinely hold—management plans, legal instruments, and meeting records.

Scoring follows an ordinal scale from zero to three, with performance classified into four levels: Critical, Deficient, Improved, and Advanced. Crucially, the classification uses a gating condition on priority indicators—the structural elements the review identified as foundational, such as a formal legal framework and basic documentation. A criterion cannot reach a high rating by accumulating points on peripheral items while core requirements remain unmet. Borderline transition zones acknowledge that the boundary between adjacent scenarios is rarely clear-cut, distinguishing a structurally sound arena with isolated weaknesses from one whose foundational mechanisms are failing.

The researchers applied the final version to two coastal protected areas classified under IUCN Category V, where conservation coexists with regulated human use: the North Coast Marine Environmental Protection Area in São Paulo, Brazil, spanning roughly 3,150 square kilometers across four municipalities, and the Bahía de Cádiz Natural Park in Spain, covering 105 square kilometers of salt marshes and salt pans shaped by two millennia of salt production. Both are contested seascapes where unregulated tourism, port infrastructure, and—in the Brazilian case—oil and gas exploitation collide with the livelihoods of vulnerable groups such as artisanal fishers, shellfish gatherers, and salt workers.

The results were strikingly contrasting. In Brazil, the analysis found strong stakeholder influence, achieved largely through the presence of Indigenous Peoples and traditional communities on the council, which elevated artisanal fisheries agendas and translated them into zoning priorities. The chain the model proposes—Representativeness feeding Influence, which in turn drives Effectiveness—was visible in concrete outcomes: management of spatial conflicts between small-scale and large-scale fisheries, and accountability pressures over the impacts of oil, gas, and port activities. The Spanish case ran in reverse. Shellfish gatherers and salt workers remained absent from the council, their concerns went unadvocated, and results on abandoned salt pans and illegal harvesting lagged. Low planning quality and weak transparency further emptied the process, discouraging engagement and feeding back into poor representation.

One of the study’s most pointed insights concerns the difference between formal status and real power. Both councils are legally consultative bodies, yet they occupy clearly distinct positions on what participation scholars call Arnstein’s ladder of citizen participation—the Brazilian council operating at a partnership level, the Spanish one at a symbolic stage. The mere existence of seats reserved for vulnerable groups, the authors note, does not make an arena inclusive; their effective presence, the support mechanisms available, and whether outcomes actually favor them must all be verified. In Cádiz, the analysis of meeting minutes confirmed stakeholder perceptions of limited influence and resistance from public authorities, and revealed that low-relevance actors continued to hold council seats while port and real estate interests—key drivers of salt-marsh loss—went unrepresented.

Beyond scoring, SysMAPP is designed as a diagnostic instrument for adaptive governance. Because its criteria are hierarchically related, the system does not merely rate a participatory arena; it locates where the process underperforms and why, tracing the causal chain that constrains influence and outcomes. The researchers derived four adaptation milestones from the relationships among criteria: consolidating the foundations of participation, fostering bidirectional information flow, sharing decision-making on issues of common interest, and achieving concrete outcomes. Applied regularly, these milestones feed results back into the management cycle, converting institutional diagnoses into prioritized, context-sensitive interventions even where human and financial resources are scarce. The Brazilian area reached all four milestones; the Spanish area surpassed none, signaling the need for structural reform rather than incremental adjustment.

The authors are candid about limitations. The system depends on detailed documentation, so its applicability shrinks in protected areas with sparse records or limited technical capacity—a constraint that affected the present study, where some indicators could not be assessed due to missing data. It is built for formally constituted, continuous participatory bodies such as councils and committees, and is less sensitive to sporadic mechanisms like public hearings. The final phase, which translates results into management interventions, has not yet been tested. Even so, the tool arrives at a moment of growing demand: international frameworks including the 2030 Agenda, the Escazú Agreement, and the European Green Deal all emphasize access to information, accountability, and collective decision-making in environmental matters. By bridging the persistent gap between the legal provision of participation and its effective operationalization, SysMAPP offers managers a way to move beyond box-ticking—and offers communities an evidence base for demanding the influence they were promised.

Subject of Research: A monitoring and assessment model for evaluating public participation processes and outcomes in protected area governance

Article Title: A Model for Evaluating the Procedural and Effectiveness Dimensions of Public Participation in Protected Areas: The SysMAPP

Article References: Cioffi, G., Sansolo, D. G., & Sanabria, J. G. (2026). A Model for Evaluating the Procedural and Effectiveness Dimensions of Public Participation in Protected Areas: The SysMAPP. Environmental Management, 76(9), Article 294. https://doi.org/10.1007/s00267-026-02603-0

Image Credits: AI Generated

DOI: 10.1007/s00267-026-02603-0

Keywords: protected areas, public participation, environmental governance, SysMAPP, adaptive management, stakeholder engagement, conservation, coastal management, participation assessment, Brazil, Spain, Environmental Management

The research, led by Moein Tosan of the University of Tehran together with colleagues at the University of Birjand, Sultan Qaboos University, the University of Memphis, and the University of Technology Sydney, examined the pre-implementation hurdles to establishing a formal groundwater trading system in the Boshruyeh Plain. Rather than relying on a single line of evidence, the team constructed an integrated empirical design that combined three distinct data streams: quantitized narratives gathered from local farmers, structured survey metrics collected from 109 stakeholders including state officials and academic experts, and hydrogeological baselines quantifying the degree of aquifer overdraft. This triangulation matters, because water markets fail not only for hydraulic reasons but for institutional and social ones, and any honest assessment must capture all three dimensions simultaneously.

The hydrogeological picture alone explains why the stakes are so high. The study documented dramatic fluctuations in water availability across the plain, with the region experiencing water deficiencies of up to 40 percent in dry periods against surpluses of roughly 30 percent in wetter years. This volatility is precisely the condition that economic theory says a well-functioning water market should remedy: in scarcity years, trading would allow water to flow toward the highest-value uses, while surplus years would let sellers bank income and buyers accumulate reserves. Yet the same volatility also fuels the informal market, because when official allocation mechanisms cannot respond flexibly to swings in supply, farmers improvise their own exchange systems outside the law.

When the researchers turned to the institutional dimension, the findings were unambiguous. Statistical analysis of the expert survey data showed that the level of infrastructural preparedness in the region was inadequate for supporting a transparent formal water market. The questionnaire items probed whether the physical measurement and monitoring infrastructure, including meters and telemetry needed to verify who is pumping what and when, could sustain a market in which water rights are bought and sold with confidence. The verdict was negative. Without reliable measurement, there can be no enforceable entitlements; without enforceable entitlements, there can be no trust between buyers and sellers; and without trust, no formal market can displace the informal arrangements that already exist.

Perhaps the most striking result of the study is what the researchers describe as a policy disconnect between experts and farmers, an institutional blind spot with direct implications for how reform efforts should be prioritized. Spearman rank correlation analysis, a statistical technique for measuring the strength and direction of monotonic relationships between variables, provided empirical evidence of theory in action within each group. But when the responses of the two groups were compared, they diverged sharply on what actually stands in the way of formal water trading. Experts, drawn from the ranks of state officials and academics, considered social acceptability and monitoring capacity to be the decisive dependencies. Farmers, by contrast, identified technical and legal hurdles as the critical barriers. In other words, the people who govern the system and the people who are governed by it are not even looking at the same problem.

This divergence is more than a survey curiosity. If policymakers invest primarily in monitoring technology and public outreach while farmers are paralyzed by unclear legal status of their water rights and incompatible technical conditions on the ground, the reform will stall regardless of how sophisticated the metering network becomes. Conversely, if legal frameworks are drafted without addressing the social acceptability that experts emphasize, the resulting market may exist on paper only. The study’s central lesson is that both dimensions must be addressed in parallel, and that diagnosing which barriers matter to whom is a prerequisite for designing interventions that actually close the gap rather than widen it.

The researchers also applied K-means clustering, an unsupervised machine learning algorithm that partitions observations into groups by minimizing within-cluster variance, to the expert survey responses. The analysis revealed three distinct expert archetypes within the governing body, which the authors labeled Pessimists, Optimists, and Proponents. This heterogeneity is itself a policy-relevant finding. It means that the very institutions charged with implementing groundwater markets do not share a coherent internal view of whether such markets are feasible, desirable, or safe. A divided governing body risks sending contradictory signals to stakeholders, undermining the credibility that any market reform requires, and the study suggests that this internal variability of the governing apparatus is as much an obstacle as any physical shortage of water.

From these findings, the authors distill a clear prescription: a successful transition to formal groundwater trading requires the integration of two essential infrastructures. The first is robust monitoring systems, which serve as a prerequisite for trust-building, because participants must believe that extraction is measured accurately and violations are detected reliably. The second is flexible legislative systems, which are essential for systematically harmonizing the diverse interests of stakeholders, because rigid fixed-allocation water laws cannot accommodate the seasonal and interannual variability that characterizes arid-zone hydrology. The balance between institutional coherence and market efficiency, the study concludes, is what determines whether sustainable groundwater management is achievable at all.

The implications extend far beyond one Iranian plain. Groundwater depletion is a defining crisis of the twenty-first century, particularly across the arid belt stretching from North Africa through the Middle East and Central Asia, where aquifers supply agriculture and cities but are being drained faster than rainfall can replenish them. Market-based allocation has delivered documented benefits in places like California, Australia, and Chile, yet the Boshruyeh Plain study demonstrates that the technology of trading is the easy part. The hard part is the institutional scaffolding: legal clarity, measurement infrastructure, and consensus among stakeholders who currently disagree about what the problem even is. The authors argue that establishing both technological and legal trust is a non-negotiable prerequisite for the transition from informal to formal water markets, a conclusion of general relevance to other arid hydrogeological systems worldwide.

What makes this research resonate is its refusal to treat water markets as a purely technical fix. The informal market in Boshruyeh is not a failure of the farmers; it is a rational response to scarcity in the absence of functioning institutions. Any reform that ignores the lived reality of those farmers, or the internal divisions of the agencies that govern them, will simply push the shadow economy deeper underground. The study offers instead a template for readiness assessment, one that measures hydrogeological stress, institutional capacity, and stakeholder perceptions together before a single water right is ever traded. For the millions of people dependent on shrinking aquifers across the world’s drylands, that template may prove as valuable as any amount of new water.

Subject of Research: Groundwater market readiness and institutional barriers to formal water trading in an over-exploited Iranian aquifer

Article Title: Assessing Groundwater Market Readiness: Institutional Gaps and Stakeholder Divides in Iran

Article References: Tosan, M., Shamshirgaran, R., Nikoo, M. R., Nazari, R., Karimi, M., & Gandomi, A. H. (2026). Assessing Groundwater Market Readiness: Institutional Gaps and Stakeholder Divides in Iran. Environmental Management, 76(9), Article 296. https://doi.org/10.1007/s00267-026-02589-9

Image Credits: AI Generated

DOI: 10.1007/s00267-026-02589-9

Keywords: groundwater, water markets, Iran, aquifer depletion, water policy, institutional analysis, stakeholder engagement, arid regions, Boshruyeh Plain, informal water trading, hydrogeology, Environmental Management

The scale of the underlying problem is easy to underestimate. Urban circular economy initiatives promise simultaneous reductions in raw material consumption, waste generation, and emissions, alongside new jobs, circular start-ups, and more engaged communities. Community gardens, co-working spaces, and local production systems have all been shown to support resource optimization and closed-loop systems. Public-private partnerships are frequently promoted as strategic vehicles for advancing circularity. But the review’s authors found that these collaborative policies repeatedly fail, undermined by inconsistent strategies, fragmented regulations, cultural resistance, and decision-making complexity that no single actor can resolve alone.

Methodologically, the study is notable for its rigor. The authors searched the Scopus database using a carefully constructed Boolean string combining circular economy, urban terms, governance and collaboration terms, and barrier or challenge terms, restricted to publications from 2016 to 2026. The search returned 1,106 records, which were screened under PRISMA guidelines down to 93 eligible studies. Each study then underwent a structured quality appraisal scored on three criteria, with 44 studies achieving the maximum score of 3.0 and 47 scoring 2.5, indicating an evidence base the authors describe as generally adequate though methodologically heterogeneous. Barrier statements were extracted, coded, consolidated, and mapped onto stages of collaborative policy development, with independent verification by the co-authors producing complete agreement on classification.

The analytical heart of the paper is a stage-based framework that traces collaborative policy development from regulatory initiation and problem identification, through stakeholder engagement and collective decision-making, into implementation, monitoring and evaluation, and finally feedback and adaptation. Mapping barriers onto this cycle revealed a striking pattern: different obstacles dominate different phases, but they do not stay in their lanes. Regulatory inconsistency, the most frequently cited barrier at the initiation stage with 12 supporting references, resurfaces later as bureaucratic complexity during implementation. Knowledge deficits identified early cascade forward, weakening engagement, decision quality, and monitoring alike.

At the problem-identification stage, the review found a foundational readiness problem. Beyond regulatory inconsistency, the lack of government standards, knowledge, information, frameworks, and awareness about the circular economy appeared in 11 studies, while political interference appeared in seven. The authors emphasize that problem definition is not a neutral technical exercise: political interests shape which circular economy issues receive attention and how they are framed. Limited data and ambiguous problem definitions compound the difficulty, preventing policy systems from constructing a shared, evidence-informed understanding of what a circular problem even is.

Stakeholder engagement, the second stage, is dominated by human and organizational friction. Cultural and behavioral resistance was the most frequently identified barrier of the entire review, supported by 12 references, reflecting the reality that circularity demands a departure from entrenched linear production and consumption habits. This resistance is reinforced by knowledge gaps, divergent goals among stakeholders, weak participation, and insufficient financial incentives, each cited in four to six studies. Businesses face additional hurdles: the absence of circularity in corporate culture and regulatory complexity for private actors both discourage the strategic contribution that collaboration requires. The authors describe this as a participatory alignment problem in which knowledge deficits, resistance, and misaligned interests reinforce one another.

Decision-making and implementation reveal their own conversion and translation gaps. At the decision stage, unstructured participatory processes, political interference, and scarce expertise can distort outcomes even when participation mechanisms formally exist, creating tension between deliberative legitimacy and external political influence. During implementation, the lack of skilled personnel emerged as the dominant barrier with eight references, alongside non-harmonious bureaucratic regulations and high investment costs paired with limited recognition of indirect benefits. Circular initiatives often require substantial upfront spending while their benefits accrue across sectors and over long time horizons, producing a mismatch between who pays and who gains.

Perhaps the most consequential finding concerns the final stages of the policy cycle. Monitoring and evaluation are hampered not only by technological limitations but by the absence of shared stakeholder frameworks and government monitoring regulation, meaning that data technologies become meaningful only when institutions know what to measure and how to act on the results. In the feedback and adaptation stage, highly contested solutions, delayed benefits, fragmented coordination, and the exclusion of stakeholders from policy revision expose whether collaboration was ever genuinely institutionalized. Monitoring information, the authors stress, does not automatically produce policy learning.

Two cross-cutting barriers tie the whole framework together. Limited governmental policies, incentives, and support, cited in seven studies, act as a systemic condition affecting every stage simultaneously, providing not just money but regulatory certainty, legitimacy, and continuity. And the interdependency of barriers, explicitly identified in four studies, supplies the review’s central interpretive claim: barriers form self-reinforcing feedback loops in which insufficient knowledge breeds resistance, resistance unstructures decision-making, weak decisions complicate implementation, poor implementation undermines monitoring, and inadequate monitoring makes adaptation contested. The authors argue that isolated, stage-specific, sectoral, or technology-centric interventions cannot break these loops; durable transitions require integrated governance that aligns institutions, regulations, stakeholders, and capacity across the entire cycle.

The study distills its synthesis into three interrelated dimensions: institutional and governance barriers at the system level, knowledge and capacity barriers at the stakeholder level, and socio-economic and behavioral barriers at the interaction level. Crucially, these dimensions reinforce each other systemically, so the success of a circular transition depends on simultaneously repairing structural failures, building stakeholder capacity, and aligning interests. The authors acknowledge limitations, including reliance on a single database and academic literature that may overlook industry reports, and they call for empirical validation of the framework in real urban contexts. But for city planners wrestling with why well-intentioned circular strategies stall, the message is clear: the barriers are not a checklist to be ticked off one by one, but a system to be governed as a whole.

Subject of Research: Barriers to collaborative urban policy development for the circular economy

Article Title: Unpacking the barriers to collaborative urban policy development for circular economy: A systematic literature synthesis

Article References: Kinanda, R., Sutriadi, R., & Wijaya, N. (2026). Unpacking the barriers to collaborative urban policy development for circular economy: A systematic literature synthesis. Environmental and Sustainability Indicators, 32, Article 101523. https://doi.org/10.1016/j.indic.2026.101523

Image Credits: AI Generated

DOI: 10.1016/j.indic.2026.101523

Keywords: circular economy, urban policy, collaborative governance, systematic literature review, stakeholder engagement, regulatory barriers, policy implementation, sustainability transitions, waste management, urban planning, PRISMA, institutional capacity

The team’s method was as unusual as its subject. Borrowing the Faraday Discussions format from physical chemistry, where opposing viewpoints are debated openly before an audience, and inspired by the practice of adversarial collaboration, the authors deliberately assembled researchers who hold conflicting positions. For each topic they drafted a deliberately provocative resolution, presented arguments for and against it, and then identified common ground. The stakes are high: conference polling at a 2024 plenary session of the International Symposium on Sustainable Systems and Technology revealed nearly even splits on all six debate resolutions among more than 100 participants, and discussions at recent workshops occasionally grew heated, particularly over uncertainty techniques. The authors stress that controversy here signals an active, evolving field rather than an immature one.

The first controversy concerns a deceptively simple question: should LCA be applied to emerging technologies at all? The case for early assessment is compelling. Design flexibility is greatest before commercialization, so environmental considerations can be built in before impacts become locked in. Screening tools such as stoplight diagrams have already flagged hazardous reagents and critical precursors in early-stage battery materials before laboratory work began. But the opposition warns that LCA demands a definable system and adequate process data. When feedstocks, process yields, or deployment scenarios are highly uncertain, results may mislead decision-makers, overstate benefits, entrench unsustainable pathways, or cause promising options to be abandoned prematurely. The network’s common ground is pragmatic: life cycle thinking is valuable at every stage, but it is not equivalent to a comprehensive LCA, and studies should be classified into tiers of rigor, much as techno-economic analyses are scaled by technology maturity.

Uncertainty emerged as perhaps the sharpest fault line. Emerging technologies face scenario uncertainty about future conditions, parameter uncertainty about technological options, and model uncertainty from subjective modeling choices, all layered on top of the variability that plagues even mature assessments. One camp argues that formal probabilistic methods such as Monte Carlo simulation should be applied even at low technology readiness levels, because presenting a single point estimate falsely suggests certainty that no honest analyst can justify. Confidence intervals, they contend, help decision-makers judge the likelihood of meeting performance thresholds. The other side counters that the same data gaps driving the uncertainty also undermine any attempt to characterize it, so a detailed probability distribution can paradoxically convey overconfidence. Probabilistic models capture known unknowns, they argue, while emerging technologies are dominated by unknown unknowns such as unproven scale-up paths and shifting market functions. Simple bounding exercises and scenario analyses may serve better.

On scale-up, the question is whether and how to project how a laboratory-bench process will look at industrial scale. The literature offers a growing toolkit: process simulations, learning curves, molecular structure models, proxy data from analogous technologies, and structured frameworks such as UpFunMatLCA for projecting lab-to-fab development of functional materials. A recent systematic review of 78 studies identified 14 distinct scaling methods, and data-driven advances are emerging, including experimentally derived learning rates used to scale life cycle inventory data for electrochemical ammonia production. Supporters argue that without scaling, comparisons with mature commercial systems are meaningless, since lab setups differ fundamentally from industrial plants in energy efficiency, material purity, and resource utilization. Opponents point to cautionary tales: perovskite solar cell assessments have often scaled up lab-favored materials that are unlikely commercial candidates, and early assessments of quantum computers underestimated impacts by ignoring error correction overhead and cryogenic cooling. Common correction factors, such as assuming industrial energy use is a fraction of lab demand, risk oversimplifying nonlinear, unpredictable transitions.

Comparison with incumbent technologies divides the field almost perfectly. Advocates note that any technology entering an existing market must outperform the incumbent to deliver environmental benefits, so relative comparisons are indispensable for benchmarking progress and guiding research and development priorities. Even with high uncertainty, relative differences between alternatives can be informative. Critics respond that comparator selection is fraught: whether a marginal or average system is chosen, and how optimistically future performance is assumed, can flip an emerging technology from beneficial to detrimental. Outdated background data compound the problem. Many photovoltaic assessments still benchmark against multi-crystalline silicon using inventory data stretching back to 2005, even though the technologies those guidelines describe are expected to account for less than 20 percent of the market by 2025. The consensus position demands careful functional equivalence, updated comparator data, and explicit communication that final go or no-go decisions rest with decision-makers, not analysts.

Standardization sparked equally pointed debate. The ISO 14040 and 14044 standards grant broad latitude, explicitly stating that there is no single method for conducting LCA and that data may be a mixture of measured, calculated, or estimated values. That flexibility, critics of the status quo argue, lets an ISO-compliant label create a false veneer of comparability, particularly at low technology readiness levels where modeling assumptions dominate results. Sector-specific guidance exists for carbon capture, biomass carbon removal, nanomaterials, and photovoltaics, but coverage is inconsistent and fragmented. Supporters of new standards point to practices such as borrowing lithium-ion battery lifetimes as proxies for novel chemistries, which likely biases results. Opponents warn that overly prescriptive rules could entrench context-dependent value choices, restrict the expert judgment that data-poor assessments require, and create false confidence in compliance labels. Both sides agree, however, that standardized reporting of technology readiness level, data provenance, scenario assumptions, and uncertainty treatment would substantially improve transparency.

The sixth controversy, stakeholder engagement, extends the debate beyond methodology into ethics. The authors argue that high-stakes assessments of emerging technologies ideally involve an extended peer community, ranging from subject matter experts who can supply data absent from conventional inventories to community members whose priorities may differ sharply from those of analysts. In one cited example, community members prioritized air quality over climate impacts when evaluating a fuel switch from natural gas to biomass, an insight that reshaped the study’s relevance. Engagement can also expose the need for geographically localized emission factors rather than regional averages. Yet the opposition is sober: practitioners often lack training and resources for meaningful participation, identifying appropriate stakeholders for technologies with undefined use cases invites selection bias, and poorly designed engagement risks becoming tokenistic or exploitative, imposing burdens on marginalized communities. Funders may also resist delays that push results beyond the decision-making window.

What emerges from the exercise is less a rulebook than a map of the field’s fault lines, together with a set of shared priorities. Across all six topics the network converged on framing studies to the decision context, setting minimum reporting expectations for data and study quality, and stating explicitly the limits of transferability for scenario-based projections. Disagreements persist on when to formalize standards and how extensively uncertainty can be treated for low-maturity technologies, and the authors identify recurring trade-offs between flexibility and comparability, early engagement and stakeholder burden, and sophistication and overconfidence. Their central message to practitioners, funders, and policymakers is that early-stage LCA results should be treated as provisional insights that guide research and development rather than definitive predictions, and that clear communication of assumptions, limitations, and uncertainty is not an optional courtesy but the foundation upon which credible, sustainability-informed technology decisions must rest.

Subject of Research: Best practices and methodological controversies in life cycle assessment of emerging technologies

Article Title: Controversy and consensus: common ground and best practices for life cycle assessment of emerging technologies

Article References: Woods-Robinson, R., Abeynayaka, A., Carbajales-Dale, M., Chen, H., Cheng, A., Cooney, G., Kirchofer, A., Kumar, M., Liddell, H. P. H., Peterson, L., Posen, I. D., Moni, S., Sleep, S., Wachs, L., Zargar, S., & Bergerson, J. (2026). Controversy and consensus: common ground and best practices for life cycle assessment of emerging technologies. Journal of Industrial Ecology, 30(4), 1495-1519. https://doi.org/10.1007/s44498-026-00100-5

Image Credits: AI Generated

DOI: 10.1007/s44498-026-00100-5

Keywords: life cycle assessment, emerging technologies, uncertainty, scale-up, standardization, stakeholder engagement, sustainability, technology readiness level, comparative LCA, ex-ante assessment, industrial ecology, environmental decision-making

The motivation for the project is straightforward: research priority setting determines which uncertainties get resolved before they matter. The authors argue that prioritizing research on epidemic measures can help ensure that studies address genuinely important questions rather than convenient ones, so that future decisions rest on better evidence. The work was carried out by the Centre for Epidemic Interventions Research, CEIR, a research centre embedded within the Norwegian Institute of Public Health that focuses on generating and synthesizing evidence about interventions used to control epidemics. Rather than letting individual researchers choose their own questions, the team built a structured process designed to capture the concerns of a broad range of Norwegian stakeholders and to apply transparent criteria for ranking what matters most.

The first methodological challenge was scope. Public health and social measures encompass a sprawling universe of interventions, from testing, isolation, contact tracing and quarantine to school closures, border restrictions, mask mandates, ventilation improvements and mass gathering limits. To map that landscape, the researchers conducted a literature review and solicited feedback from Norwegian stakeholders, ultimately assembling an exhaustive inventory of 173 distinct interventions. Because that list was far too large to interrogate question by question, they asked stakeholders to identify their top priorities, which narrowed the field to 22 interventions considered most relevant for the Norwegian setting. This filtering step anchored the entire exercise in what practitioners and decision-makers actually care about, rather than in what is easiest to study.

With the shortlist in hand, the team turned to established methods for surfacing research uncertainties. They drew on the nominal group technique, a structured facilitation method designed to elicit and rank ideas from participants in a way that limits the influence of dominant voices, and on approaches developed by the James Lind Alliance, a UK-based initiative known for bringing patients, clinicians and researchers together to agree on research priorities. Using these techniques with Norwegian stakeholders, the researchers collected raw proposals about what remains unknown or contested about the effects of the 22 priority interventions. The process generated 252 distinct questions, a volume that reflects how much legitimate uncertainty persists about measures that many governments deployed at enormous economic and social cost during the COVID-19 pandemic.

Turning 252 raw questions into a workable set required careful analytical work. The researchers applied thematic analysis, a qualitative method that groups similar items into overarching themes, combined with member checking, in which participants verify that the synthesized versions faithfully capture what they originally proposed. Through this process the 252 questions were consolidated into 76 research questions framed to capture the substance of the uncertainties stakeholders had raised. The consolidation was not merely editorial; each retained question needed to be answerable through research while preserving the intent of the people who raised it. The resulting list provides a systematic snapshot of where Norwegian stakeholders see the largest gaps between what is known about epidemic measures and what decision-makers need to know.

Prioritizing those 76 questions demanded explicit criteria rather than intuition. Drawing on a review of the literature and feedback from stakeholders, the team developed a set of twelve criteria against which each question could be judged, reflecting considerations such as the importance of the underlying decision, the size of the uncertainty, and the feasibility and likely impact of answering it. Thirteen members of the research team then independently applied these criteria to score and rank the questions. Using structured scoring by multiple assessors, rather than a single panel discussion, helps reduce the idiosyncrasies of individual judgment and makes the rationale for each ranking visible and auditable.

The scoring was not the final word. The team sought feedback from Norwegian stakeholders on the provisional priorities and incorporated that input into a consensus process within CEIR, which ultimately settled on a final list of sixteen prioritized research questions about the effects of public health and social measures. That iterative design, moving from broad stakeholder input to analytical consolidation to formal scoring and back to stakeholder consultation, reflects a core principle of evidence-informed priority setting: the people who will use or be affected by the research should have a genuine voice in what gets studied. It also mirrors lessons learned during COVID-19, when rapid evidence syntheses sometimes answered questions that were technically tractable but of limited practical value to policymakers.

A distinctive feature of the study is its attention to whether the priorities travel beyond Norway. The researchers presented the final list of sixteen questions to five external experts from Australia, Canada, Chile, the United States and the United Kingdom, using the TRANSFER framework, an approach developed for assessing the transferability of systematic review findings to different settings. This step acknowledges a persistent tension in pandemic research: measures such as school closures or contact tracing operate within specific health systems, legal frameworks and social contexts, so priorities identified in a high-capacity Nordic welfare state may differ from those in low- and middle-income countries. The external review offers an indication of how far the Norwegian list can serve as a starting point internationally, even though the questions were formulated for a national context.

The methodological machinery of the study, documented across nine appendices of supplementary material, is itself a contribution. By combining literature review, stakeholder consultation, nominal group technique, James Lind Alliance methods, thematic analysis, structured scoring against twelve criteria, and transferability assessment, the team produced a reproducible template that other national public health agencies could adapt. The study also navigated the ethical landscape of such work: because it did not constitute medical or health research under the Norwegian Health Research Act, it was exempt from review by the Regional Committees for Medical and Health Research Ethics, but the authors nevertheless followed established research ethics principles, including informed consent, anonymity and minimizing the burden of participation. The article is open access, published under a Creative Commons Attribution license, with no dedicated funding received for the work.

The implications reach well beyond Norway. The COVID-19 pandemic exposed how little rigorous evidence existed about the comparative effectiveness, unintended consequences and equity impacts of non-pharmaceutical interventions, and how quickly decisions must be made when evidence is thin. A pre-agreed list of priority questions can shape funding calls, trial designs, data collection infrastructure and rapid evidence synthesis efforts before the next crisis hits, so that answers are available when they are needed rather than years afterward. The sixteen prioritized questions will now guide the future work of the Centre for Epidemic Interventions Research, and the authors suggest the list may be useful to others in Norway and internationally as a starting point for setting their own research priorities. In effect, the study converts the scattered uncertainties of a global emergency into a disciplined research agenda, offering a concrete answer to a question that has haunted public health since 2020: when the next epidemic comes, what should we be studying right now?

Subject of Research: Research priority setting for public health and social measures to manage epidemics

Article Title: Research priorities for public health and social measures to manage epidemics: a multi-method consensus study in Norway

Article References: Munthe-Kaas, H. M., Elstrøm, P., Bruun, T., Bjørbaek, M., Elgersma, I. H., Flottorp, S., Fretheim, A., Gopinathan, U., Holst, C., Rosenbaum, S., Selstø, A., Solberg, R., & Oxman, A. D. (2026). Research priorities for public health and social measures to manage epidemics: a multi-method consensus study in Norway. BMC Public Health. https://doi.org/10.1186/s12889-026-29391-w

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29391-w

Keywords: public health and social measures, epidemic preparedness, pandemic preparedness, research priority setting, consensus methods, nominal group technique, James Lind Alliance, stakeholder engagement, non-pharmaceutical interventions, evidence-informed decision making, COVID-19, Norway