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The report assesses the use of the Energy Supply Financing Ratio (ESFR) by global banks to measure sustainable power financing relative to fossil fuels. While six banks have now published or committed to this indicator, the analysis reveals a regional divide: European banks (BNP Paribas, Crédit Agricole, Groupe BPCE) often use narrow fossil fuel definitions and omit underwriting, while North American banks (Citi, JPMorgan Chase, RBC) include broader financing instruments but inflate sustainable ratios by including fossil-related technologies like carbon capture and fossil-based hydrogen.

The paper examines the application of Social Network Analysis (SNA) within anthropology to study the transmission of indigenous local knowledge systems and material culture production. It focuses on the scientific research process, specifically the collection and processing of information, the construction of ethnographic data, and the development of analysis models, based on a comparative study of two communities in Argentina.

The document critiques the current state of financial sector decarbonization targets, arguing that reliance on 'financed emissions' metrics—specifically those using Enterprise Value Including Cash (EVIC)—allows banks to report emissions reductions based on stock market volatility rather than actual decarbonization. It highlights how banks like Deutsche Bank and Crédit Agricole met targets early due to soaring energy stock prices in 2022. The author warns against 'gaming' metrics through concepts like 'energy mix' targets or 'Expected Emission Reduction' (EER) and calls for a comprehensive dashboard of absolute targets, facilitated emissions tracking, and strict exclusion policies for fossil fuel expansion.

The document argues that a cost-effective clean energy transition requires a paradigm shift in transmission planning, moving away from historical reactive models toward holistic planning that accounts for evolving energy systems and climate change uncertainties.

The authors apply the 4Es framework and "mechanisms of social change" (MOSC) language to map solar mini-grid projects in northern Kenya. This approach aims to identify the causal mechanisms that lead to both positive and negative socio-economic and ecological outcomes, providing a tool to improve the design of future climate adaptation interventions in low-income countries.

The paper introduces a new approach to assess how individual commodity traders are exposed to long-term climate change risks by utilizing gridded crop yield projections and subnational supply chain data. Applying this method to the Brazilian soy sector, the authors find that risk exposure varies significantly between traders because of differences in their sourcing patterns, despite overall uncertainty in crop model yield projections.

The document argues against a sequential model of research where results are merely 'translated' for stakeholders at the end of a project. Instead, it advocates for knowledge co-creation, an inclusive process where stakeholders are involved from the design phase through data analysis and communication. Using examples from the 'Active Citizenship in Culturally and Religiously Diverse Societies' (ACT) project, the brief demonstrates how interactive workshops and conferences can facilitate the exchange of experiential and professional knowledge. It concludes that while this approach increases relevance, new evaluation mechanisms are needed to capture the unpredictable, bottom-up nature of its societal impact.

The document outlines a methodology for identifying high-impact clean energy markets in developing economies based on private sector attractiveness, energy access, and climate relevance. It identifies Tier 1 countries—including India, South Africa, Kenya, and Rwanda—and analyzes their specific investment barriers, such as off-taker risk in India and currency volatility in South Africa. Additionally, it provides case studies on blended finance structures, ranging from project-level interventions like the Lake Turkana Wind Farm to fund-of-funds like GEEREF, illustrating how concessional capital and guarantees are used to leverage private investment.

The author argues that interpreters in qualitative research are not mere linguistic translators but active mediators who influence data through their social positioning and cultural knowledge. Using fieldwork from Bosnia-Herzegovina, the paper highlights how the 'hybrid parole' created by interpreters can provide deep insights into trauma and power dynamics, while also warning of the ethical and psychological toll on interpreters who translate traumatic experiences. The author advocates for a more nuanced approach to interpreter selection, training, and debriefing to enhance the validity and ethics of cross-cultural research.

The document examines the shift in trade modeling results, noting that early simulations of the WTO Doha Round predicted significant global wealth increases, while more recent simulations show much smaller gains, particularly for developing countries. It explains that these predictions rely on computerized general equilibrium (CGE) models based on assumptions about producer and consumer reactions to price and policy changes. The report aims to clarify why results vary among modelers and address criticisms regarding the limitations of these models in informing trade policy.

The authors examine the methodological debate surrounding the use of mosques as recruiting grounds for research on Muslims in Europe. While acknowledging critiques regarding sampling bias and the 'lived religion' perspective, they argue that terms like 'organized' or 'member' are too imprecise to invalidate mosque-based sampling. Using the FINEX project in the Nordic countries as a case study, they suggest that the 'technologization' of mosques (via social media and email) and their institutional role in European societies actually increase their utility as research entry points. They recommend a stratified approach to sampling and the separation of recruitment from the actual data collection environment to ensure ecological validity.

The author presents a new list of conflict onsets based on the Uppsala/PRIO Armed Conflict Dataset (ACD), designed to address the lack of robustness in conflict literature caused by arbitrary coding decisions. The dataset allows researchers to vary the casualty threshold (
) and the minimum period of peace required before a new conflict is coded between old adversaries (). To demonstrate the utility of this framework, the author re-analyzes the findings of Hegre et al. (2001). The results indicate that while the effect of proximity to regime change on conflict risk is robust across different definitions, the perceived war-proneness of semi-democratic regimes is not robust and varies depending on the onset definition used.