We present FiMI (Finance Model for India), a domain-specialized financial language model developed by National Payments Corporation of India (NPCI) for Indian digital payment systems. We develop two model variants: FiMI Base and FiMI Instruct. FiMI adapts the Mistral Small 24B architecture through a multi-stage training pipeline, beginning with continuous pre-training on 68 Billion tokens of curated financial, multilingual (English, Hindi, Hinglish), and synthetic data. This is followed by instruction fine-tuning and domain-specific supervised fine-tuning focused on multi-turn, tool-driven conversations that model real-world workflows, such as transaction disputes and mandate lifecycle management. Evaluations reveal that FiMI Base achieves a 20\% improvement over the Mistral Small 24B Base model on finance reasoning benchmark, while FiMI Instruct outperforms the Mistral Small 24B Instruct model by 87\% on domain-specific tool-calling. Moreover, FiMI achieves these significant domain gains while maintaining comparable performance to models of similar size on general benchmarks.
The rapid expansion of cross-border e-commerce (CBEC) has created significant opportunities for small- and medium-sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third-party logistics (3PL)-led supply chain finance (SCF) has emerged as a promising solution, leveraging in-transit inventory as collateral. We propose an advanced credit risk management framework tailored for 3PL-led SCF, addressing the dual challenges of credit risk assessment and loan size determination. Specifically, we leverage conditional generative modeling of sales distributions through Quantile-Regression-based Generative Metamodeling (QRGMM) as the foundation for risk measures estimation. We propose a unified framework that enables flexible estimation of multiple risk measures while introducing a functional risk measure formulation that systematically captures the relationship between these risk measures and varying loan levels, supported by theoretical guarantees. To capture complex covariate interactions in e-commerce sales data, we integrate QRGMM with Deep Factorization Machines (DeepFM). Extensive experiments on synthetic and real-world data validate the efficacy of our model for credit risk assessment and loan size determination. This study explores the use of generative models in CBEC SCF risk management, illustrating their potential to strengthen credit assessment and support financing for small- and medium-sized sellers.
Thomas Eisermann, Carlo Campajola, Claudio J. Tessone
et al.
Blockchain-based systems are frequently governed through tokens that grant their holders voting rights over core protocol functions and funds. The centralisation occurring in Decentralised Finance (DeFi) protocols' token-based voting systems is typically analysed by examining token holdings' distribution across addresses. In this paper, we expand this perspective by exploring shared token holdings of addresses across multiple DeFi protocols. We construct a Statistically Validated Network (SVN) based on shared governance token holdings among addresses. Using the links within the SVN, we identify influential addresses that shape these connections and we conduct a post-hoc analysis to examine their characteristics and behaviour. Our findings reveal persistent influential links over time, predominantly involving addresses associated with institutional investors who maintain significant token supplies across the sampled protocols. Finally, we observe that token holding patterns and concentrations tend to shift in response to speculative market cycles.
Tax is an important source of revenue to any government; however, the amount of tax paid by consumer goods firms in Nigeria is sometimes low due to firms’ tax sheltering activities. The study therefore investigates how board characteristics influence tax sheltering practices among listed consumer goods firms in Nigeria. The study adopts an ex-post factor research design because historical data were utilized. The population of the study comprised all 21 consumer goods firms listed in Nigeria as at 31 December 2024. Using a purposeful sampling technique and based on data availability, the study covered 13 firms. Secondary data covering a ten-year period (2015 to 2024) were sourced from the annual reports of the sampled firms. Descriptive and regression analyses were conducted using STATA 13 statistical software. The results show that board gender diversity has positive significance effect on tax sheltering (coeff. 0.411, P-value 0.038), board meetings have a positive and statistically significant effect on tax sheltering (coeff. 0.0512, P-value 0.018), board size exhibits a negative but insignificant effect (coeff. 0.004, P-value 0.619), while board independence shows a positive insignificant effect on tax sheltering (coeff. 0.122, P-value 0.301). Based on its findings, the study concludes that board characteristics exert a meaningful influence on tax sheltering practices among listed consumer goods firms in Nigeria. Based on its conclusion, the study recommends that listed consumer goods firms in Nigeria should complement increased female board representation and frequent board meetings with robust board-level tax governance, including clear tax planning limits, periodic compliance reviews, and transparent documentation of tax decisions, while regulators strengthen monitoring and enforcement of corporate reporting practices.
Aqil al hasoon, Seyed Abbas Hashemi, Narges Hamidian
The financing policies implemented by managers play a pivotal role in risk management and shareholder wealth creation. Consequently, identifying the factors that influence managerial financing decisions is critically important. This study examines the impact of managerial ability on short-term debt usage, incorporating the moderating effects of financial constraints and financial reporting quality. The sample includes 100 firms listed on the Tehran Stock Exchange, selected through systematic elimination for the period 2012–2023. A multivariate regression model based on panel data analysis was employed to test the hypotheses. The findings demonstrate that managerial ability has a positive effect on debt maturity. Additionally, while financial constraints do not significantly moderate this relationship, financial reporting quality strengthens the influence of managerial ability on short-term debt utilization. Specifically, high-ability managers—equipped with superior business acumen and strong incentives to signal their competence—tend to employ greater short-term debt to mitigate information asymmetry and enhance their reputational capital.Keywords: Debt Structure, Managers' Ability, Financial Constraints, Financial Reporting QualityJEL Classification: M40, H63, D04, M41 IntroductionDebt financing is a fundamental component of corporate capital structure, playing a crucial role in firm sustainability and growth. The composition of debt—particularly its maturity structure—serves as a key determinant of financial stability and long-term success. Consequently, decisions regarding debt structure are critical, as misjudgments can expose firms to financial distress or even bankruptcy. Prior research has examined various determinants of debt maturity structure, including macroeconomic and institutional factors such as financial and political environments, legal and tax systems, information asymmetry, and capital provider characteristics. Another stream of literature focuses on firm-specific influences, particularly managerial traits, given their significance in mitigating agency conflicts between shareholders and managers. Among these traits, managerial ability stands out as a pivotal factor shaping debt maturity decisions. Aligned with theoretical foundations, this study proposes the following hypotheses:H₁: Managerial ability positively influences debt maturity.H₂: Financial constraints attenuate the effect of managerial ability on debt maturity.H₃: Financial reporting quality amplifies the impact of managerial ability on debt maturity.Materials & Methods and dataThe study examines firms listed on the Tehran Stock Exchange (TSE) over the period 2012–2023. The sample was selected through systematic elimination to ensure data integrity and representativeness. To test the hypotheses, we employed panel regression analysis using the Generalized Least Squares (GLS) estimator, which accounts for heteroskedasticity and autocorrelation in the data. Managerial ability was operationalized following Demerjian et al. (2012), while financial reporting quality was measured using the Dechow and Dichev (2002) accruals quality model. FindingThe empirical results demonstrate several key insights. As presented in Table 2, managerial ability exhibits a statistically significant positive relationship with firms' utilization of short-term debt. This finding aligns with theoretical expectations, as short-term debt instruments can serve as effective mechanisms to mitigate information asymmetry between managers and investors. Moreover, the preferential use of short-term debt may function as a positive market signal, conveying managers' confidence in the firm's near-term financial prospects. Table 3 reveals that financial constraints do not significantly moderate the relationship between managerial ability and debt maturity structure. This suggests that capable managers maintain their influence over financing decisions regardless of external financial limitations. Finally, Table 4 presents evidence that financial reporting quality strengthens the positive association between managerial ability and short-term debt usage. This amplification effect likely occurs because high-quality financial reporting enhances transparency, thereby increasing the credibility of managers' financing decisions. Discussion and ConclusionCorporate financing decisions are predominantly shaped by managerial discretion, with short-term debt instruments gaining increasing prominence over the past three decades. Our findings align with signaling theory, which posits that short-term debt issuance serves dual purposes: it reduces information asymmetry while simultaneously functioning as a positive market signal of managerial competence. Conversely, agency theory would predict an inverse relationship, suggesting that higher managerial ability might correlate with reduced short-term debt due to inherent agency conflicts in firms where managerial capabilities are less observable. The empirical evidence supports the signaling perspective, demonstrating that high-ability managers strategically utilize short-term debt to distinguish themselves from their less competent counterparts. This behavior stems from their superior capacity to assess market conditions and capitalize on favorable financing opportunities. Furthermore, our analysis reveals that managerial ability plays a particularly significant role in firms with higher reporting quality. In such organizations, which typically possess more robust project portfolios, short-term debt issuance serves as an additional quality indicator. High-ability managers in these firms are more inclined to employ short-term debt instruments, thereby reinforcing their reputation for financial acumen and strengthening market confidence. These findings contribute to the ongoing theoretical discourse by reconciling competing perspectives from signaling and agency theories. They also offer practical implications for corporate governance, suggesting that boards should consider managerial ability as a key factor in financing policy decisions, particularly in firms with transparent financial reporting environments.
Given the strong interdependencies between the economic and financial systems, nonfinancial firms have a significant impact on systemic risk. In this scenario, we examine the influence of bank liquidity hoarding on risk spillovers of nonfinancial firms, as it can impact firms' financing environment and operational conditions. Using data from 118 publicly listed Chinese companies between 2008 and 2021, we find that bank liquidity hoarding increases nonfinancial firms' risk spillovers, especially in the manufacturing and real estate industries. Furthermore, the path analysis results show that bank liquidity hoarding exacerbates extreme risk spillovers by increasing financing costs and intensifying corporate maturity mismatches. Moreover, the effect of bank liquidity hoarding is mitigated in firms with higher profitability and lower corporate financialization. This research bolsters the efficacy of macroprudential policies aimed at managing systemic risks amplified by bank liquidity hoarding within the financial and economic systems.
Abstract With the rapid development of science and technology, augmented reality technology provides intelligent and application services. The research is based on imaging techniques using augmented reality technology and camera image capture. Then, it uses screen error algorithms and scale-invariant feature transformation operators to test the quality of scene spatial models. The experimental results demonstrated that the camera significantly improved the frame rate of scene model rendering and could steadily enhance rendering efficiency. For image quality and its influencing factors, binary robust invariant scalable keypoints and scale-invariant feature transformation algorithms in viewpoint changes had the highest recall of 92%. The map drawing module, Hessian matrix, and scale-invariant feature transformation algorithm in the image blurring test achieved the highest recall rate of 98%. This demonstrates the advantage of using a scale-invariant feature transformation operator to capture scene space influence and provide a more accurate spatial model reference for augmented reality technology. This enhances the functional design of the guide system.
Computational linguistics. Natural language processing, Electronic computers. Computer science
This article examines the application of the stock screening tool “purepofo” (www.purepofo.com), which integrates Halal and Environmental, Social, and Governance (ESG) criteria with a comprehensive performance assessment based on widely used financial metrics. The article evaluates Purepofo’s ability to align Shariah compliance and ESG standards with performance-driven investing, addressing ethical and financial imperatives. The study presents a comparative analysis of the financial performance of stocks screened using a combined screening approach versus non-screened counterparts, while also outlining methodological limitations. Key findings reveal that Halal and ESG-screened stocks outperformed peers in several financial dimensions, including operational efficiency, dividend reliability, and resilience to market volatility. Notably, these stocks demonstrated higher Sharpe Ratios, more substantial gross margins, and consistent revenue growth, challenging the perception of a trade-off between ethical compliance and financial performance. However, limitations, such as the underrepresentation of high-growth stocks and valuation complexities, highlight the need for further methodological refinement. The discussion emphasises the potential of a customised financial metrics model to support investors in achieving competitive returns without compromising ethical integrity. The results suggest that Halal-ESG stocks offer more than symbolic ethical Value; they exhibit measurable financial resilience, governance, and sustainability strength. While alignment with Maqasid al-Shariah principles remains central, the data—rather than ideals alone—positions Islamic finance as a leader in sustainable investing. This article contributes to the growing discourse on Halal-ESG integration by offering actionable insights for Islamic finance portfolio managers, Shariah scholars, and thought leaders. Bridging ethical compliance, sustainability, and financial performance highlights the role of integrated tools in advancing innovation and inclusivity in global finance.
As an innovative technology for enhancing authenticity, security, and risk management, blockchain is being widely adopted in trade and finance systems. The unique capabilities of blockchain, such as immutability and transparency, enable new business models of distributed data storage, point-to-point transactions, and decentralized autonomous organizations. In this paper, we focus on blockchain-based securities trading, in which blockchain technology plays a vital role in financial services as it ultimately lifts trust and frees the need for third-party verification by using consensus-based verification. We investigate the 12 most popular blockchain platforms and elaborate on 6 platforms that are related to finance, seeking to provide a panorama of securities trading practices. Meanwhile, this survey provides a comprehensive summary of blockchain-based securities trading applications. We gather numerous practical applications of blockchain-based securities trading and categorize them into four distinct categories. For each category, we introduce a typical example and explain how blockchain contributes to solving the key problems faced by FinTech companies and researchers. Finally, we provide interesting observations ranging from mainstream blockchain-based financial institutions to security issues of decentralized finance applications, aiming to picture the current blockchain ecosystem in finance.
Srisht Fateh Singh, Panagiotis Michalopoulos, Andreas Veneris
This paper introduces BAKUP, a smart contract insurance design for decentralized finance users to mitigate risks arising from platform vulnerabilities. While providing automated claim payout, BAKUP utilizes a modular structure to harmonize three key features: the platform's resilience against vulnerabilities, the flexibility of underwritten policies, and capital efficiency. An immutable core module performs capital accounting while ensuring robustness against external vulnerabilities, a customizable oracle module enables the underwriting of novel policies, and an optional and peripheral yield module allows users to independently manage additional yield. The implementation incorporates binary conditional tokens that are tradable on automated market maker (AMM)-based exchanges. Finally, the paper examines specific liquidity provision strategies for the conditional tokens, demonstrating that a conservative strategy and parameterization can effectively reduce the divergence loss of liquidity providers by more than 47 % compared to a naive strategy in the worst-case scenario.
Supply Chain Finance is very important for supply chain competition, which is an important tool to activate the capital flow in the supply chain. Supply Chain Finance-related research can support multiple applications and services, such as providing accounts receivable financing, enhancing risk management, and optimizing supply chain management. For more than a decade, the development of Blockchain has attracted widely attention in various fields, especially in finance. With the characteristics of data tamper-proof, forgery-proof, cryptography, consensus verification, and decentralization, Blockchain fits well with the realistic needs of Supply Chain Finance, which requires data integrity, authenticity, privacy, and information sharing. Therefore, it is time to summarize the applications of Blockchain technology in the field of Supply Chain Finance. What Blockchain technology brings to Supply Chain Finance is not only to alleviate the problems of information asymmetry, credit disassembly, and financing cost, but also to improve Supply Chain Finance operations through smart contracts to intelligent Supply Chain Finance and in combination with other technologies, such as artificial intelligence, cloud computing, and data mining, jointly. So there has been some work in Blockchain-based Supply Chain Finance research for different Supply Chain Finance oriented applications, but most of these work are at the management level to propose conceptual frameworks or simply use Blockchain without exploiting its deep applications. Moreover, there are few systematic reviews providing a comprehensive summary of current work in the area of Blockchain-based Supply Chain Finance. In this paper, we ...
Large language models (LLMs) are now widely used in various fields, including finance. However, Japanese financial-specific LLMs have not been proposed yet. Hence, this study aims to construct a Japanese financial-specific LLM through continual pre-training. Before tuning, we constructed Japanese financial-focused datasets for continual pre-training. As a base model, we employed a Japanese LLM that achieved state-of-the-art performance on Japanese financial benchmarks among the 10-billion-class parameter models. After continual pre-training using the datasets and the base model, the tuned model performed better than the original model on the Japanese financial benchmarks. Moreover, the outputs comparison results reveal that the tuned model's outputs tend to be better than the original model's outputs in terms of the quality and length of the answers. These findings indicate that domain-specific continual pre-training is also effective for LLMs. The tuned model is publicly available on Hugging Face.
The proliferation of internet technology has catalyzed the rapid development of digital finance, significantly impacting the optimization of resource allocation in China and exerting a substantial and enduring influence on the structure of employment and income distribution. This research utilizes data sourced from the Chinese General Social Survey and the Digital Financial Inclusion Index to scrutinize the influence of digital finance on the gender wage disparity in China. The findings reveal that digital finance reduces the gender wage gap, and this conclusion remains robust after addressing endogeneity problem using instrumental variable methods. Further analysis of the underlying mechanisms indicates that digital finance facilitates female entrepreneurship by lowering financing barriers, thereby promoting employment opportunities for women and also empowering them to negotiate higher wages. Specially, digital finance enhances women's bargaining power within domestic settings, therefore exerts a positive influence on the wages of women. Sub-sample regressions demonstrate that women from economically disadvantaged backgrounds, with lower human capital, benefit more from digital finance, underscoring its inclusive nature. This study provides policy evidence for empowering vulnerable groups to increase their wages and addressing the persistent issue of gender income disparity in the labor market.
Farmland use regulation strictly regulates the conversion of agricultural land for other agricultural purposes and the construction of agricultural facilities, thereby optimizing the land use pattern in rural areas. However, different measures and intensities of farmland use regulation can affect the overall performance of green and low-carbon development in rural areas. This study utilizes system dynamics modeling and simulation to conduct a case study based on current land use data from 10 towns in Liyang City, China. The empirical results indicate the following: (1) Based on comprehensive measurements of green and low carbon development performance, Liyang City exhibits a pattern of higher indices in the south and lower indices in the north. Towns such as Tianmu Lake, Daibu, and Shezhu show relatively high average comprehensive indices of 0.31, 0.30, and 0.28, significantly higher than other towns. (2) Simulation of farmland use regulation’s impact on green and low carbon development performance reveals that Scenario One, involving additional construction land occupying farmland, achieves a comprehensive index of only 0.23, significantly lower than the other scenarios. (3) Based on calculations and field surveys, Liyang City’s villages are categorized into four types, with the largest number being industry-integrated villages (94 villages). Accordingly, policies for farmland use regulation are designed for different village types. Therefore, future farmland use regulation should be tailored with differentiated institutional designs according to the development needs of different villages. This study’s findings provide insights into green and low-carbon development in rural areas.
This systematic study on the international research trends in carbon neutrality underscores its critical role in combating global warming and advancing sustainable development. By leveraging the “Web of Science Core Collection” databases and employing CiteSpace software for visual analysis, we examined 2223 research papers to track the influence and trends of key countries, institutions, and authors. Our results reveal a significant increase in publication volume, indicating a robust development potential for carbon neutrality research. The study also identifies environmental science, environmental research, and energy and fuel science as central interdisciplinary hubs, highlighting the importance of cross-disciplinary collaboration. Notably, China leads in publication output but has room for improvement in citation impact, suggesting a need for enhanced research quality and international visibility. The study's findings are instrumental for guiding future research directions, policy-making, and interdisciplinary cooperation, particularly in the fields of environmental science and energy, to accelerate progress towards carbon neutrality and global climate governance.
* Global Health Organization Leadership, * Regional Leaders in Health
Dear COP 28 President-Designate Sultan Ahmed Al-Jaber,
This year, world leaders gathering in the UAE to take stock of their climate commitments will for the first time engage in official programming focused on health. We, the signatories of this letter, support your leadership in bringing health front and center at COP28.
As global health leaders, we are committed to achieving health and well-being for all; this is not possible without a safe and stable climate. The Paris Agreement enshrined the “right to health” as a core obligation for climate action. Yet, communities, health workers, and health systems around the world already face the alarming impacts of a changing climate. Climate change-induced extreme weather events are becoming more frequent and severe; many countries are grappling with the health consequences of extreme heat, unprecedented storms, floods, food and water insecurity, wildfires, and displacement. For COP28 to truly be a “health COP,” it must address the root cause of the climate crisis: the continued extraction and use of fossil fuels, including coal, oil, and gas. We call on the COP28 Presidency and the leaders of all countries to commit to an accelerated, just, and equitable phase-out of fossil fuels as the decisive path to health for all.
Ending our dangerous dependency on fossil fuels will improve the health prospects of future generations and will save lives. Keeping the global temperature increase within the 1.5°C target of the Paris Agreement is essential to ensure good health and economic prosperity for all. This will only be possible if we rapidly phase out fossil fuels. Fossil fuel phase-out will limit global warming, thereby protecting health from the devastating impacts of extreme weather, and preventing further ecological degradation and biodiversity loss. Failing to do so will lead to overwhelming health consequences, as well as the loss of key natural resources and ecosystem services that are critical to both human and non-human species health, 1 there by undermining One Health and planetary health.
In addition to climate-related health impacts, air pollution caused in part by burning fossil fuels causes 7 million premature deaths annually. 2 The economic costs 3 of air pollution-related health impacts amounted to over US$8.1 trillion, or 6.1% of global GDP, in 2019. By improving air quality, governments can reduce the burden of disease from multiple cancers, heart disease, neurological conditions including stroke, and chronic and acute respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). Investments in clean energy sources will save hundreds of billions of dollars in health care costs associated with air pollution every year, while reducing economic losses from extreme weather events with damages worth US$253 billion (in 2021). 4
A full and rapid phase-out of fossil fuels is the most significant way to provide the clean air, water, and environment that are foundational to good health. We cannot rely on unreliable and inadequate solutions, like Carbon Capture and Storage (CCS), which extend the use of fossil fuels but do not generate the real and immediate health improvements which a renewable energy transition provides. False solutions like CCS risk making harmful emissions worse, straining the health of overburdened communities, and delaying our progress toward meaningful climate progress.
The energy transition must be just and equitable for all. In transitioning to a clean energy future, there is an opportunity to undo the injustices of the fossil fuel-dependent system, taking a systemic approach and emphasizing health, care and community well-being, leaving no one behind. Global leaders must ensure everyone, including fragile states and the most remote and excluded communities, has access to non-polluting, affordable, reliable, accessible, and resilient clean energy, as well as to emerging technologies that make the best use of this energy. A just transition offers the opportunity to reduce health inequities faced by minority and marginalized communities, especially with respect to the health effects of ongoing fossil fuel use and dependence.
Unlocking finance is essential to deliver a healthy and just transition. Achieving climate and health goals will only be feasible if we stop investing in fossil fuels and invest instead in proven climate and health solutions. Each year, countries spend hundreds of billions of dollars subsidizing the fossil fuel industry, money that could be spent investing in a healthy future. High-income countries, development finance institutions, and the private sector must dramatically increase and fulfill their commitments to drive investments in clean energy, clean air, and economic development for the communities most harmed by climate change and fossil fuel pollution.
Fossil fuel interests have no place at climate negotiations. The fossil fuel industry cannot be allowed to continue its decades-long campaign of obstructing climate action at the UNFCCC negotiations and beyond. Just as the tobacco industry is not allowed to participate in the WHO Framework Convention on Tobacco Control, it is imperative to safeguard global collaboration on climate progress from the lobbying, disinformation, and delays in favor of industry interests.
Without ambitious climate action, the burden on health care systems and health care workers will be insurmountable. Health gains made in recent decades will be in vain and we will see the harmful impacts of climate change ruin our chances for a safe, equitable and just future.
In this extraordinary year, with health for the first time on the COP agenda, we urge you to deliver real climate progress: commit to an accelerated, just, and equitable phase-out of fossil fuels and invest in a renewable energy transition as the decisive path to health for all.
Sincerely,
Global Health Organization Leadership (Alphabetical by organization)
• Githinji Gitahi, CEO, Amref Health Africa
• Pam Cipriano, President, International Council of Nurses
• Salman Khan, Liaison Officer for Public Health Issues, International Federation of Medical Students' Associations
• Naveen Thacker, President, International Pediatric Association
• Dr Christos Christou, International President, Médecins Sans Frontières
• María del Carmen Calle Dávila, Executive Secretary, Organismo Andino du Salud (Andean Health Organization)
• Luis Eugenio de Souza, President, World Federation for Public Health Associations
• Lujain Alqodmani, President, World Medical Association
Regional Leaders in Health (Alphabetical by surname)
• Mary T. Bassett, Director, FXB Center for Health and Human Rights, Harvard University
• Fiona Godlee, Former Editor-in-chief of the British Medical Journal
• (Dr.) Arvind Kumar, Chairman, Institute of Chest Surgery, Chest Onco Surgery and Lung Transplantation, Medanta Hospital, India
• Dame Parveen Kumar, Emeritus Professor of Medicine and Education, Barts and The London School of Medicine and Dentistry
• Lwando Maki, Secretary, Public Health Association of South Africa
• Jemilah Mahmood, Executive Director, Sunway Center for Planetary Health - Malaysia
• Kari C. Nadeau, MD, PhD, Chair of the Department of Environmental Health at Harvard School of Public Health
• (Dr.) K Srinath Reddy, Past President of Public Health Foundation of India
This letter is supported and endorsed by:
National Health Organization Leadership (Alphabetical by organization)
• Rosana Teresa Onocko Campos, President, Associação Brasileira de Saúde Coletiva (Brazil)
• Katie Huffling, DNP, Executive Director, Alliance of Nurses for Healthy Environments (US)
• Dr Latifa Patel, Representative Body Chair, British Medical Association
• Kamran Abassi, Editor-in-Chief, British Medical Journal (UK)
• Frances Peart, President & Board Chair, Climate and Health Alliance (Australia)
• Kate Wylie, Executive Director, Doctors for the Environment Australia
• Agonafer Tekalenge, President, Ethiopian Public Health Association
• Diederik Aarendonk, Forum Coordinator Global Health Organization Leadership, European Forum for Primary Care
• Kevin Fenton, President, Faculty of Public Health (UK)
• Ansgar Gerhardus, Board Chair, German Public Health Association
• Vital Ribeiro, Chair, Associação Civil Projeto Hospitais Saudáveis (Healthy Hospitals Project)
• Sheila Sobrany, President, Royal College of Nursing
• The Board of the Public Health Association of South Africa
• Diana Zeballos, Executive Secretary, Sustainable Health Equity Movement (SHEM)
• Adeline Kimambo, Executive Secretary, Tanzania Public Health Association
• Richard Smith, Chair, UK Health Alliance on Climate Change