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The IISD has developed a six-step methodology to evaluate national mining policy frameworks against the IGF Mining Policy Framework (MPF). The process involves desk-based research, the use of a detailed scoring template, stakeholder consultations, and a validation meeting to identify strengths, weaknesses, and gaps in implementation. The methodology is designed to be adaptable to other frameworks, such as the Africa Mining Vision, and aims to inform capacity-building efforts for governments.

The Union of Concerned Scientists (UCS) argues that the U.S. can cut its projected oil use in half by 2035 compared to a 'do-nothing' baseline. By implementing technology and policy advances across transportation, buildings, and industry, the plan estimates a reduction of 11 million barrels per day (mbpd), resulting in gross cost savings of more than $550 billion and the creation of over 1 million net new jobs by 2035.

The document argues that Internet policy must move beyond technical management to include broad societal impacts on rights, security, and sustainable development. It advocates for a multistakeholder model involving government, the private sector, civil society, and academia to ensure legitimacy and effectiveness. The toolkit details eight specific tools—ranging from expert roundtables and policy mapping to online surveys and public forums—designed to generate evidence and foster public consent. It emphasizes 'adaptive policy making' and the principle of subsidiarity, suggesting that policy action should occur at the lowest jurisdictional level consistent with effectiveness.

The CRiSTAL User's Manual describes a desktop application and methodology for screening development projects to ensure they support climate adaptation. The tool uses a livelihoods-based approach, combining scientific climate data with participatory community consultations to identify climate risks and design adaptation strategies. It guides users through three phases: understanding the livelihoods and climate context, evaluating project implications, and supporting monitoring and evaluation (M&E).

The document outlines a methodology for creating Biocultural Community Protocols (BCPs), which are community-defined instruments used to communicate local values, customary laws, and priorities to external actors. It provides a structured approach across four parts: understanding the toolkit and the role of the facilitator, documenting the community's biocultural foundations, implementing the protocol through dialogue and negotiation, and reflecting on outcomes to revise the protocol. The guide emphasizes endogenous development, legal empowerment, and participatory methods—such as community mapping, participatory video, and 'Forum Theatre'—to reduce power asymmetries between local communities and entities like governments, corporations, and NGOs.

The document explains the methodology of the Green Footstep tool, which calculates the net carbon flow of building projects by analyzing site development, construction, and operation. It defines carbon neutrality as achieving a net carbon storage level equal to or greater than the site's native state. The paper provides specific formulas for calculating native site carbon storage, emissions from site development, and operational emissions. For construction emissions, it details an Economic Input-Output Life Cycle Assessment (EIO LCA) approach based on 1997 US economic data, offering coefficients for residential, multifamily, manufacturing/industrial, and commercial/institutional sectors. It also includes a historical validation comparing 1997 energy intensity coefficients with 1967 data, noting a general decrease in energy intensity for most sectors except commercial and institutional buildings.

The document details the GIS-based modeling approach used to assess threats to global coral reefs, categorizing them into local pressures (coastal development, watershed-based pollution, marine-based pollution, and overfishing) and global threats (thermal stress and ocean acidification). It explains the proxy indicators, distance-based rules, and data sources used to create an integrated threat index, while acknowledging limitations such as the use of population as a proxy for overfishing and the exclusion of coral disease and storm intensity due to uncertainty.

The Powerplant Impact Estimator (PIE) is a software tool designed to quantify the human health and economic benefits of reducing fine particulate matter (PM2.5) emissions from US electric generating units. It employs a three-step damage function approach: modeling changes in ambient air quality using a Source-Receptor (S-R) Matrix, calculating reductions in adverse health effects via epidemiological concentration-response functions, and assigning economic values to these avoided effects using cost-of-illness and willingness-to-pay metrics.

The document details the methodology for four distinct research areas: the analysis of the #ClimateScam hashtag and X's auto-complete function; the identification of 15 monetized websites sharing climate disinformation and the ad exchanges supporting them; the monitoring of Russian state media and diplomatic accounts on Facebook across four languages; and the collection of political advertising from major fossil fuel companies and petrostates via the Meta Ad Library.

The methodology note describes how the Clean Air Task Force (CATF) models unit-level emissions and resulting health impacts for coal plants slated for retirement between 2025 and 2028. It details the data sources used, the cumulative nature of the map results, and the user-adjustable emission levels provided in the tool.

The Clean Air Task Force (CATF) used the U.S. EPA's CO-Benefits Risk Assessment (COBRA) version 4.0 to model the health effects of 2023 diesel emissions from highway and off-highway sectors. The methodology employs a damage function approach to translate emissions of fine particulate matter (PM2.5), sulfur dioxide, and nitrogen oxide into premature mortality, hospital admissions, and economic costs. For 2023, the model estimated premature deaths from diesel exhaust to be between 3,900 and 8,800, a decrease from the 2016 range of 6,300 to 14,200. Additionally, using a 2015 California Air Resources Board risk factor, CATF estimated that 2023 diesel particulate concentrations of 0.26 ug/m3 result in a national risk of 228 lifetime cancers per million people, totaling nearly 80,000 cancer cases.

The Clean Air Task Force developed a tool to score U.S. pulp and paper facilities on their potential for carbon management based on five criteria: capture cost, capture potential, storage cost, cluster potential, and co-benefits potential. The tool uses GIS analysis, spatial statistics, and cost modeling to identify high-opportunity facilities for decarbonization, though the authors note that plant-specific engineering analysis is still required for feasibility determinations.

The methodology employs two internationally recognised testing systems—the GyroWash (ISO 105-C06) and the Wascator (ISO 6330)—to measure microfibre shedding from 51 garments made of cotton, polyester, recycled polyester, polyamide, and recycled polyamide. The GyroWash uses standardised 4 x 10 cm fabric samples to provide precise fibre counts and length measurements, while the Wascator simulates full-garment domestic laundering to determine total shed mass. To ensure consistency, both systems used identical temperature (40 °C ± 2 °C), duration (30 minutes), and mechanical action without detergents. The study included blank controls and specific sample preparation, such as sealing cut edges with adhesive, to prevent contamination and ensure that fibre release resulted solely from mechanical and thermal stresses.

The Climate Bonds Resilience Taxonomy (CBRT) establishes a science-based classification system to direct capital toward climate resilience. It categorizes investments into four types—adapting measures, adapted activities, enabling measures, and enabling activities—and organizes them across seven thematic areas. To prevent greenwashing, the CBRT requires investments to demonstrate a 'Substantial Contribution' to resilience, manage maladaptation risks, and 'Do No Significant Harm' (DNSH) to climate mitigation and other environmental goals. The methodology emphasizes a graduated screening approach, ranging from automatically eligible investments to complex local threshold assessments, and ensures interoperability with the EU Taxonomy and MDB Joint Methodology.

The document specifies that Ember's China Cleantech Exports Data Explorer utilizes data from the General Administration of Customs of the People’s Republic of China (GACC), categorized into six main clean tech groups: Solar PV, EVs, Batteries, Heating and cooling systems, Grid, and Wind. It provides the specific HS codes used for sub-categories, such as solar cells (85414300) and lithium ion batteries (850760), while noting that the reported export values may be lower than the total value chain as they exclude certain parts and raw materials.

The document outlines the data sources and calculation methods for Ember's China solar export dataset. It details the use of General Administration of Customs of the People's Republic of China (GACC) data for export amounts and InfoLink Consulting Group for pricing. It explains how capacity in megawatts (MW) is estimated for panels, cells, and wafers, and notes that GACC data may record initial export destinations rather than final destinations.

The document details the technical approach for calculating and harmonising monthly wind and solar capacity data. It defines 'installed capacity' as the maximum potential output and explains the process for converting solar data between AC and DC values, using a default conversion factor of 1.3. The methodology describes how onshore and offshore wind are distinguished, often relying on IRENA data when primary sources lack a breakdown. It also specifies the publication schedule (twice monthly) and the use of proxies and linear interpolation to estimate missing data for global aggregates and specific countries. Detailed country-specific sections list data sources, publication lags, and specific adjustments for 25 territories, including the US, China, and the EU.

The Ember Subnational Data Methodology describes the data sources and calculation methods for electricity metrics across 36 states/union territories in India and 50 states in the US. It details the mapping of nine fuel types and the application of IPCC 5th Assessment Report emissions factors to determine carbon intensity, while noting caveats regarding fuel quality, methane potency, and plant efficiency.

The document outlines the technical processes Ember uses to assemble electricity data for 215 countries from 2000 to 2021. It describes the use of multiple sources—including the EIA, Eurostat, and IRENA—to reconcile annual and monthly data, disaggregate thermal generation, and estimate emissions using IPCC factors. The guide also provides a detailed country-by-country breakdown of the specific sources and adjustments applied to each territory's data.

The document describes the methodology for the Indian States’ Electricity Transition analysis, which evaluates 16 states representing approximately 90% of India's annual power requirement. The analysis uses 17 parameters across four dimensions: Decarbonisation, Performance of the Power System, Readiness of the Power Ecosystem, and Policies and Political Commitments. Data for financial year 2021-22 was primarily sourced from government entities such as the Central Electricity Authority (CEA) and NITI Aayog, then normalised and weighted by sectoral experts to produce state-wise scores.