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This case study by the Stockholm Environment Institute examines the risks posed by LKAB's proposed Per Geijer mining project to the Gabna sameby. The study introduces a new human rights impact assessment (HRIA) methodology specifically adapted for Sami reindeer husbandry to evaluate how industrial projects affect indigenous rights to land and culture.

The report introduces a rights-based risk assessment method for industrial projects on Sámi lands, arguing that current mining practices in Sweden lack a human rights perspective. Applying this method to LKAB's Per Geijer project, the authors find that the project poses a significant risk of violating Sámi rights, particularly the right to culture under ICCPR Article 27, by threatening the last remaining continuous grazing and migration corridor for the Gabna community. The study highlights a lack of transparency in EU 'strategic projects' and calls for proactive, landscape-based land use planning that guarantees real influence for Sámi rights holders.

The project introduces the Local Knowledge Scenarios (LKS) method to integrate local perceptions of global change into land-use planning. Testing across diverse ecosystems in Brazil, Canada, Peru, and Uruguay reveals that while local awareness of environmental degradation is high, national policies often fail to align with local realities or acceptance, hindering effective environmental governance.

CPI has introduced a bespoke taxonomy and machine learning model to better capture private sector adaptation finance, increasing the annual average tracked flows from USD 1 billion to USD 4.7 billion for the 2019-2022 period. The analysis identifies significant gaps in reporting, particularly among insurers and pension funds, while highlighting that the majority of project-level private investment is concentrated in the water and sanitation sector. The report also estimates that annual consumer and household spending on high-adaptation-likelihood products ranges between USD 48 billion and USD 61 billion.

Between 2015 and 2020, climate finance for land use in Brazil averaged US$ 6.6 billion per year, dominated by domestic private finance and rural credit. While the crop sector was the primary recipient, the report highlights a significant gap in the proportion of total rural credit that is climate-aligned and notes a decline in public budget allocations for the forest sector.

The authors developed a composite social vulnerability index for flooding in Sweden by combining stakeholder participation with an indicator-based framework. The resulting index revealed that social vulnerability is unevenly distributed and mirrors income segregation patterns within municipalities, providing a tool for more equitable flood risk reduction strategies.

The report assesses Sweden's vulnerability to climate risks originating in other countries through its open economy and global trade links. Using three types of trade data—national toll logs, input-output tables, and resource footprints—the study finds that while direct trade partners (e.g., Germany and Nordic countries) are relatively resilient, deeper supply chain tiers reveal significant dependencies on climate-vulnerable emerging economies in Asia and Africa. A detailed case study on Brazilian soy demonstrates that while production risks in key sourcing areas like Mato Grosso are currently low, transport risks—specifically landslides and flash floods on long roads to ports—pose a higher threat. The authors argue that traditional risk management strategies like substitution are limited by the systemic nature of climate change and the 'stickiness' of trade relationships, recommending that Sweden integrate transboundary risk into its National Adaptation Strategy and lead global multilateral efforts for systemic resilience.

The QGasSP project is developing an open-source, browser-based tool to quantify greenhouse gas (GHG) emissions related to spatial planning, focusing on building energy use, transportation, and land use change. The tool employs two distinct frameworks: a territorial approach for monitoring direct emissions within a specific area and a consumption-based approach using a tiered hybrid Life Cycle Assessment (LCA) method to enable cross-regional comparisons by tracking global supply chain emissions. To ensure accuracy, the tool combines top-down European datasets (e.g., Eurostat, Exiobase) with bottom-up local data. The report details baseline analyses for four pilot areas—County Meath (Ireland), Rathlin Island (Northern Ireland), Kymenlaakso region (Finland), and the City of Edinburgh (Scotland)—to test the tool's applicability across different urban types and planning scales. The authors conclude that while European datasets provide indicative results, local data is essential for reliable planning, and they suggest that future integration with urban digital twins could further enhance GHG quantification.

The report details a successful pilot study to extract high-quality mitochondrial DNA (mtDNA) from hawksbill turtle carapace samples, enabling the tracing of illegal tortoiseshell products back to their source populations. By comparing DNA from market products in Papua New Guinea and the Solomon Islands against a nesting baseline, the study demonstrated that most products likely originated from the Solomon Islands stock. The authors emphasize the need for a comprehensive regional genetic database (the 'Shell Bank') to reduce the number of 'orphan' haplotypes and improve the accuracy of forensic investigations into the illegal wildlife trade.

The PRINCE project, led by Statistics Sweden with SEI as a key partner, created a tailor-made model combining the EXIOBASE3 multiregional input-output (MRIO) model with Swedish national environmental-economic accounts. This framework allows for detailed tracking of environmental impacts—including greenhouse gas emissions, water use, and hazardous chemicals—linked to Swedish consumption across international supply chains. The model was adopted in 2018 by Statistics Sweden and the Swedish Environmental Protection Agency for national greenhouse gas emissions statistics to support Sweden's 'Generational Goal' of solving environmental problems without exporting them.

The author develops a Focused Information Criterion (FIC) for dynamic multinomial logit models, specifically designed to select models that provide the most precise estimate of a specific focus parameter rather than the model closest to the true data-generating mechanism. The thesis establishes the asymptotic theory for maximum likelihood estimators under model misspecification for these models, proving they are consistent and approximately normally distributed. Through simulation studies, the author verifies that the FIC effectively identifies models with the lowest true mean squared error for various focus parameters. The methodology is applied to the Militarized Interstate Disputes (MID) dataset (19502010), focusing on the probability of conflict escalation. The analysis indicates a tendency for higher democracy levels to lower escalation probabilities, although these findings are not statistically significant.

The PRINCE project developed a hybrid model combining Swedish environmental and economic accounts with the Exiobase 3 multi-regional input-output model to track emissions and resource use across global supply chains driven by Swedish consumption. The project produced indicators for hazardous chemical products, food production, and identified 'hotspot' countries and product groups, while exploring various other environmental pressure indicators to ensure Swedish environmental improvements do not cause problems abroad.

The research addresses the 'activity gap' in international carbon markets by proposing bilateral agreements as a way to pilot sectoral carbon market approaches. The study developed a country prioritization methodology based on climate policy ambition and tested benchmarking concepts for defining credited baselines in Chile's electricity sector and South Africa's building sector.

The report develops a methodology to translate global planetary boundaries into national per capita and absolute targets. It finds that developed countries, including Sweden, frequently transgress these boundaries, particularly when consumption-based footprints are measured. The study also quantifies Sweden's 'legal competence deficit' regarding its national environmental objectives, noting that for climate impact, Sweden has no direct legal control over over 99% of the emissions threatening its goals. Finally, it analyzes the gap between planetary boundaries and international environmental agreements, concluding that while policy frameworks often exist, there is a significant implementation gap.

The paper develops a systematic method for stakeholder mapping in climate change adaptation, utilizing case studies from Stockholm and Gothenburg. It emphasizes that because the definition of a 'stakeholder' varies among practitioners and researchers, a careful mapping of the stakeholder landscape is necessary to improve decision-making and awareness. The study combined an initial mapping exercise with participatory research into local and regional perceptions of actor significance, concluding that such analysis is essential for creating sustainable, flexible, and effective adaptation processes that meet both scientific and practical requirements.

The research paper presents VI-CRED, a simplified vulnerability index used in the CRED integrated assessment model to distribute global climate damages across nine world regions. Unlike more complex indices, VI-CRED relies on three specific indicators: the share of GDP from agriculture and tourism, the percentage of the population living below 5 meters elevation, and freshwater availability per capita. The index identifies Africa as the most vulnerable region and the United States as the least. The authors compare VI-CRED with the DARA and Maplecroft indices, noting that VI-CRED's emphasis on water scarcity leads to a higher vulnerability ranking for the Middle East. The paper also projects regional climate damages for the year 2105 under business-as-usual and maximum abatement scenarios, showing that while absolute damages decrease with abatement, the relative share of global damages for Africa and Developing Asia/Pacific increases.

The document outlines efforts to create tools for assessing how climate change affects surface hydrology in the Peruvian Andes, specifically focusing on water regulation and its subsequent impacts on energy and agriculture.

The document presents the DICER (DICE-Regional) model, which improves upon the DICE2007 model by introducing regional specifications for damage and abatement cost functions and a modified climate module. Initial deterministic results indicate lower peak temperatures (2.6°C) and more rapid emission reductions compared to DICE2007. The authors also propose a risk-adjusted cost-benefit analysis using option pricing to account for uncertainty, finding that incorporating volatility in damages and costs lowers maximum mean temperatures by approximately 0.5°C.

The report establishes a four-stage 'Impact Pathway' approach—comprising pathway constituent, transport, impact, and valuation models—to quantify environmental externalities in Canadian agriculture. Testing this framework on five indicators (water erosion, phosphorus contamination, GHG emissions, energy efficiency, and wildlife habitat) reveals that while valuation methods are generally well-established, significant data and methodological gaps exist in 'transport modelling' for water-related indicators. The report suggests that watershed-level analysis is the most effective unit for these valuations and proposes integrating these findings into macro-level economic models like CRAM and LUAM.

The SEI/UNEP Fuel Chain Project developed a methodology and software tool within the LEAP/EDB system to assess the full life-cycle environmental impacts of energy resources. By analyzing the 'chain' from extraction to end-use, the project aims to provide a more comprehensive comparison of fuel options than site-specific assessments. Case studies in Sri Lanka and Venezuela were used to validate the tool, focusing on biomass, coal, natural gas, and petroleum. In Sri Lanka, biomass was found to be environmentally superior to coal for electricity generation, while LPG was cleaner than biomass for household cooking. In Venezuela, natural gas was preferred over residual fuel oil for electricity, but its advantage over diesel for transport was mixed due to methane emissions and lower vehicle efficiency.