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The research examines the role of knowledge co-production between scientists and stakeholders in climate risk assessments, specifically using the impact chain method. It argues that conventional research often fails to provide actionable information for policy and practice, suggesting instead a flexible, iterative participatory approach to improve the uptake of climate services in planning and decision contexts.

The document argues that a lack of rigour in reporting and evaluation hinders the ability to track progress toward the global goal on adaptation within the UNFCCC global stocktake. It identifies four specific constraints: the lack of public accessibility to data on intervention outputs, inconsistent reporting of outcomes, a scarcity of independent impact evaluations, and a tendency to measure process rather than actual progress. To address these, the authors propose the creation of a free global database of interventions, the adoption of consistent indicators, increased investment in rigorous monitoring and evaluation by funders, and the application of established development research practices to impact evaluation.

The report identifies significant obstacles to conducting public interest research on platforms like Telegram, Discord, and Odysee, noting that technological choices, unclear Terms of Service (TOS), and the designation of large groups as 'private' inhibit the systematic monitoring of extremist activity. Through case studies, the authors found that German-language far-right groups on Telegram, English-language religious extremists on Discord, and French-language neo-fascists on Odysee use these platforms to spread hate speech, anti-democratic ideologies, and calls for violence. The report argues that current regulatory frameworks, such as the EU's Digital Services Act, often rely on user-base thresholds that exclude these medium- and small-sized platforms, leaving a gap in oversight and research access.

The document explores the application of Robust Decision Making (RDM) to address the 'super wicked' problem of climate adaptation in the Greater Mekong Subregion, where decision-making is often hindered by mistrust of national governments and unequal power dynamics. It suggests that while full RDM is technically intensive, a simplified 'RDM lite' approach could better suit local needs by preserving core principles of participation and robustness. The study also identifies critical needs for capacity building, strengthening informal networks, and ensuring 'meaningful' participation through transparent information access and digital inclusion.

The research demonstrates that site-specific CNN models can effectively detect retrogressive thaw slumps (RTS) using Sentinel-2 satellite data, achieving precision, recall, and F1 values above 0.8. While this approach enables the creation of time series data to approximate greenhouse gas emissions from rapid permafrost thaw, current results show no clear trends due to the 10 m resolution of the satellite data and a lack of diverse validated training data.

The briefing explores the use of the Sapelli platform to enable indigenous people in Ethiopia's Lower Omo region, regardless of literacy levels, to create digital maps of their territories. By co-designing a pictorial interface, six collaborators from the Nyangatom community recorded over 1,700 map contributions between August 2021 and August 2022, including grazing areas and water sources. The resulting 'land-user generated maps' provided significantly more detail and density than machine-generated or standard user-generated maps, though the authors note that the utility of such data for defending land claims depends on the willingness of legal systems to accept citizen-generated evidence.

The document details a 2019 case study in Colombia's Campoalegre River Basin where the Tandem framework was used to bridge the gap between climate information providers and water planning users. Through a series of workshops and interviews, stakeholders co-defined adaptation challenges and designed the graphical interfaces of needed climate services. The process highlighted the importance of addressing power dynamics, building trust prior to implementation, and using tools like social mapping and individual questionnaires to ensure inclusive participation. The study also emphasizes the role of the Water Evaluation and Planning (WEAP) tool in supporting robust decision-making within the Colombian POMCA planning framework.

The Union of Concerned Scientists (UCS) analyzed three methods for valuing energy efficiency in Minnesota: a coal proxy, a gas proxy, and an AVERT/gas blend. The study found that traditional utility dispatch models and locational marginal pricing (LMP) often undervalue energy efficiency by incorrectly designating low-cost renewable resources as the marginal resource, even when expensive fossil-fuel plants are operating. The analysis shows that while avoided energy costs are similar across methods ($24–$27/MWh), avoided emissions benefits vary significantly, being highest when displacing coal ($39/MWh) and lowest when displacing gas ($14–$15/MWh). UCS recommends that regulators adopt transparent, auditable methodologies and remove 'must run' constraints from dispatch models to ensure energy efficiency displaces the most expensive and polluting resources.

The document examines the role of sustainable finance taxonomies and national climate strategies in tracking and mobilizing climate finance. It specifically highlights the EU Taxonomy as a potential tool for implementing climate finance landscape methodology and argues that linking national strategies with investment landscapes can help avoid carbon lock-in and bridge the gap between current financial flows and low-emission transition goals.

The report finds that development finance for energy projects with gender equality objectives remains low, accounting for only 9% of total energy development finance in 2018, significantly lower than the 42% average across all sectors. It highlights systemic challenges in tracking this finance, including inconsistent reporting and a lack of energy-sector-specific guidance for OECD-DAC gender markers. To address these gaps, the document proposes a three-step framework for project documentation: defining the specific gender inequality context, stating a clear intent to address it throughout the project cycle, and demonstrating a direct link between the financed activities and the identified inequality. It also provides a taxonomy of gender inequalities in the energy sector, categorizing them into workforce/economic opportunities and household/workplace energy access.

The paper argues that traditional Integrated Assessment Models (IAMs) often fail to accurately capture the complexities of biomass energy and land cover, particularly in sub-Saharan Africa. By linking the TIAM-ECN economic model with the MoFuSS geospatial model, the author demonstrates that projected woodfuel demand in Kenya exceeds the sustainable supply of woody biomass. The study highlights a gap in current modelling where economic optimization does not account for physical landscape constraints, suggesting that future models must better integrate market responses, such as price increases and fuel substitution, with spatial biomass availability.

The paper demonstrates that accounting for the volume of peatland dwarf shrub vegetation significantly alters carbon flux calculations, with the effect increasing as plants occupy more of the chamber volume. It also establishes that plant volumes can be accurately estimated in the field non-destructively following an initial destructive laboratory assessment of each species.

The paper outlines the development of 25 tropospheric ozone metrics categorized by their application to model-measurement comparison, the free troposphere, human health, and vegetation. It emphasizes the necessity of using biologically defensible metrics and robust statistical methods, specifically the Mann-Kendall test and Theil-Sen estimator, to ensure consistency across thousands of global monitoring sites. A critical finding is that different metrics derived from the same ozone time-series can produce divergent trend patterns and conclusions regarding the effects of ozone variability drivers, such as precursor emissions, on health and vegetation exposure.

The report by Cerulogy critiques an ICF International assessment that claimed corn ethanol's GHG intensity in 2014 was 30% lower than the U.S. EPA's 2022 projections. Cerulogy identifies systemic errors, including the use of preliminary rather than final EPA data, the double-counting of co-product credits, and an over-reliance on a single non-peer-reviewed study (Babcock and Iqbal, 2014) to justify lower international land use change emissions. The review concludes that the ICF report's results are 'meaningless' or 'inaccurate' in several key areas, including rice methane and nitrogen emissions, and recommends that the ICF's revised lifecycle intensity be disregarded.

The document explores the role of citizen science in achieving the Sustainable Development Goals (SDGs), categorizing projects into contributory, collaborative, and co-created models. It argues that citizen science can fill critical data gaps, particularly for marginalized groups, and foster public engagement and behavioral change. While acknowledging challenges regarding data quality and statistical bias, the brief asserts that well-designed projects produce data comparable to professional science. It provides a detailed matrix of potential applications across various SDG targets, including energy affordability, water sanitation, and biodiversity monitoring.

The research focuses on commercial tax evasion within IFFs, clarifying the distinctions between abusive transfer pricing, trade mispricing, and TBML. Using the IMF DOTS methodology and a developed TBML model, the authors estimate flows for Nigeria, South Africa, Morocco, Egypt, and Zambia. The findings indicate that while some countries show declining trade mispricing, the TBML model suggests increasing financial outflows for all five. The paper highlights significant data anomalies in UNCOMTRADE and IMF datasets, particularly regarding South Africa's extractive exports, and advocates for the implementation of the Unique Consignment Reference (UCR) and improved inter-agency cooperation to curb these flows and support socio-economic development.

The paper applies an adapted Economics of Low Carbon development strategies for Cities (ELCC) framework to Bologna, Italy, to prioritize domestic water efficiency measures. It finds that an investment of €17 million in five cost-effective measures could reduce domestic water consumption by 34% by 2020, generating €10.2 million in annual savings. A further investment of €28.5 million could increase the total water reduction to 37%.

The paper argues that the simultaneous impacts of multiple drivers—climate, population, land use, and water use—on biodiversity and ecosystem services are largely unknown and rarely analysed together. Using the Norrström drainage basin in Sweden as a case study, the authors highlight that despite significant historical changes since the 19th century, including a 1.6°C temperature increase and rapid urbanization, there is insufficient data on the resulting impacts on biodiversity. The authors advocate for interdisciplinary research and the use of matching-scale data to support adaptive governance.

The GTF 2015 report finds that global progress across energy access, efficiency, and renewables during the 2010–2012 period falls substantially short of the rates required to meet 2030 targets. While electrification saw gains, primarily in India, access to clean cooking remained stagnant. Energy intensity improved, led by high-income nations, and renewable energy consumption grew, though not fast enough. The report highlights a massive investment gap, noting that annual flows must triple to reach $1.0–1.2 trillion. It also introduces the 'energy nexus' to explore interdependencies between energy and water, food, health, and gender, and advocates for a 'data revolution' to move beyond binary access metrics toward more nuanced, multi-tier measurements.

The report assesses 50 environmental impact assessment frameworks, finding that few focus exclusively on livestock. It identifies nine key impact dimensions—including GHG emissions, water use, and biodiversity—and notes a significant lack of ex-ante analysis and explicit rationale for indicator selection. The review highlights that while many frameworks target policymakers, they often rely on short-term data and lack clear methodologies for up-scaling results across different spatial and temporal scales.