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Find similar grantsThese grants support results-based financing projects targeting education systems in low- and middle-income countries. The goal is to increase understanding of how this strategy can boost learning.
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Or search similar grants →According to the current listing, eligibility includes: Research teams and organizations working on education systems in low- and middle-income countries. Confirm the full requirements in the official notice before applying.
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REACH Knowledge, Learning, and Innovation (KLI) Grants is funded by World Bank Group. Verify program details on the funder's official page before applying.
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Understanding and tackling the decline of insects is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: researchers better understand the status and population trends of insect species and the drivers of their decline; competent authorities in charge of biodiversity policies at all levels are capable of taking informed decisions, based on better understanding and valuation of socioeconomic benefits and ecological importance of insects, including for climate action; society and relevant land managers are better informed and equipped to tackle the drivers of the decline of insects. Scope: Insects play a vital role contributing to ecosystem functions in addition to pollination, such as decomposition and nutrient cycles, soil formation (including carbon sequestration) and pest control, control functions essential for maintaining ecosystem complexity, and are an indispensable part of the food chain. Those functions are key for climate change mitigation and allow the provision of ecosystem services which have economic benefits and support human well-being. Additionally, insects play a key role in other socioeconomic areas such as medical and pharmaceutical applications (e.g. antimicrobial peptides), forensic science or biotechnology. The dramatic decline of insects, estimated around 75% in the last three decades, is raising increasing concern among scientists and in the public, since it could have far-reaching implications. In order to be able to tackle this decline, there is a need to improve our understanding of the drivers of loss and how they interplay. A better knowledge of insects themselves is necessary. With targets 4 and 5 of the EU biodiversity strategy for 2030, the EU took, among others, the commitment that by 2030 habitats and species show no deterioration in conservation trend and status, at least 30% reach favourable conservation status or at least show a positive trend, and that the decline of pollinators is reversed. According to the EU Nature Restoration Regulation, Member States shall put in place appropriate and effective measures to improve pollinator diversity and reverse the decline of pollinators by 2030. This is reflected in target 4 of the Kunming-Montreal Global Biodiversity Framework. The European Climate Law requires Member States to adopt and implement national adaptation strategies and plans in which they should promote Nature-based Solutions and ecosystem-based adaptation. These policies and legislations have reached the implementation stage in the EU and worldwide. Successful proposals are expected to: improve understanding and identification of insects’ diversity, including through genomic approaches; focus on less known insect groups. In particular a solid knowledge has already been generated regarding pollination and pollinating insects through past and ongoing projects, therefore they are not expected to be subject to new research under this topic; assess the status and trends of insects and analyse multiple drivers affecting them, as well as the ecosystem services that insects provide, at different spatial scales. A comprehensive integrative taxonomy approach should be adopted, incorporating a multidisciplinary framework, including ecology and ecotoxicology, and integrating methods that address the diverse needs of insects across their entire lifecycle, ensuring the identification of essential habitat resources at each stage of development. To assess the status and trends of insects and the effectiveness of strategies, proposals should develop and test approaches for long-term monitoring schemes for insects, possibly building on existing national or EU biodiversity monitoring schemes and pilots developed by Biodiversa+; devise, test and promote effective strategies to mitigate the major drivers of insects’ decline. Analyse the ecosystem functions underpinned by insects and undertake qualitative and quantitative valuation of ecosystem services emanating from those functions; explore how to implem Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Food, Bioeconomy Natural Resources, Agriculture and Environment, Biodiversity and Natural Resources Keywords: Biodiversity conservation, Biodiversity, conservation biology, conservation genetics, Conservation biology, ecology, genetics, Environmental Conservation, Environmental protection, Environmental stressors, Environmental toxicology at the population and ecosystems level, Habitat Systems, Habitat and species restoration and rehabilitation, Natural resources and environmental economics, Nature conservation, Protection of environment (before, during and after), Species interactions (e.g. food-webs, symbiosis, parasitism, mutualism, bio-invasion), Insects, biodiversity, climate change, conservation, decline, ecology, ecosystem, habitat, pollinator, species
AI integration in CCSI work practice: catalysing innovation and competitiveness is sponsored by European Commission — Horizon Europe. Expected Outcome: Projects should contribute to all of the following expected outcomes: Insights, recommendations, strategies, guidelines, methods and tools supporting full AI integration in CCSI practices become available to CCSI, policymakers, and stakeholders. Scenarios for co-created solutions tailored to CCSI needs, utilizing quality data and federated data sources, along with digital infrastructures, and inclusive cooperation processes, become available. Generally made available AI-powered and ethically designed solutions, tools and services in several CCSI areas benefit creators, cultural professionals, and society, including persons with disabilities and other specific needs, fostering innovative creative expressions and improving creative business models while preserving and enhancing cultural diversity, and inclusion. By mastering ethical and inclusive AI, CCSI are empowered drivers of culture, innovation, competitiveness and societal wellbeing. Scope: AI technologies are transformative, providing unprecedented opportunities for human creativity, experimentations and co-creations. AI profoundly impacts cultural and creative sectors and industries, changing practices, facilitating new ways of working and making innovative services and products possible. Artists, industry players, and cultural organisations increasingly use AI, for assistance in content creation, production, and management, to predict trends, personalise market content, engage audiences, enhance cultural heritage preservation and accessibility, and many more purposes. Cultural and creative sectors and industries (CCSI) [1] need to fully harness AI's potential to maintain relevance, expand their impact and value, increase competitiveness, and keep their vibrant, inclusive nature. Embracing and co-creating ethical AI solutions tailored to CCSI needs will, among other benefits, enable the automation of low-creativity tasks, allowing to increase focus on high-value activities that enhance creativity and productivity, thus unlocking unprecedented possibilities. Production times and costs can be reduced, market reach expanded, preservation, interpretation and inclusive access to cultural heritage enhanced, and new job categories could emerge. Although several initiatives are on the ground, a comprehensive understanding of enabling frameworks and factors and of what is still lacking in terms of data, standards, infrastructures, computing power, tools, knowledge and capacity for the CCSI to fully embrace the opportunities opened by AI is essential for effectively integrating AI technologies into CCSI practices and workflows. Proposals should assess the current level of AI readiness in the CCSI, investigate the specific barriers to AI adoption in the sectors, and highlight areas where AI can offer the most benefits. In continuous engagement with the sectors, based on the analysis of current practices and through concrete use cases, proposals should produce strategic guidance to extensively and seamlessly integrate AI into CCSI operations, enhancing efficiencies, averting risks, and facilitating cross-sector collaboration. Based on this analysis, they should develop a set of tailored tools designed to address the specific gaps and leverage the opportunities uncovered during the assessment. These tools should be strategically aligned with the sector's needs, ensuring they provide targeted solutions to enhance AI adoption and maximize its potential benefits. They should be scalable, affordable for smaller, less-resourced CCSI actors and accompanied by related documentation and training materials and documentation. Proposals should address one of the following two options, and are allowed to address both: Develop scalable pilots for innovative AI-enabled products and services across diverse segments of sectoral value chains, in cooperation with CCSI. These pilots are expected to address identified gaps in CCSI operations and prioritise solutions that catalyse innov Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Culture, creativity and inclusive society, Cultural Heritage Keywords: Artificial intelligence, intelligent systems, multi agent systems, Business models, Capacity building, Creativity management, Cultural heritage, cultural memory, Data and image processing, Digitalisation/ICT and cultural heritage, Entrepreneurship, Experimentally-driven research and innovation, High performance computing, Intangible cultural heritage, Knowledge transfer, Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video), Open innovation, Public administration, Social innovation, Tangible cultural heritage, Trustworthy ICT, Visual arts, performing arts, design, AI adoption, AI integration, CCSI, accessibility, audience engagement, automation, business models, capacity building, co-creation, content creation, creative industries, creative innovation, creators’ rights, cross-sector collaboration, cultural and creative sectors, cultural diversity, cultural inclusion., data-driven creativity, digital infrastructures, digital transformation, emerging jobs, ethical AI, federated data, heritage preservation, inclusive AI, innovation ecosystem, knowledge transfer, market reach, multilingual access, personalization, sustainable creative economy, sustainable models, underserved audiences, upskilling
USDA has obligated roughly $1 billion in emergency funds against New World screwworm and awarded $105 million to 40 Grand Challenge projects from 226 proposals. On September 2, 2026, DARPA pre-released a $2.1 million SBIR topic for networked screwworm detection. Four funding streams, four eligibility regimes, four clockspeeds — and most applicants only know about one.
Read articleThe Cold Chain Grants for Emergency Food Assistance Program closes October 1, 2026, funding cold storage equipment at up to $200,000 per project with a 10% cash match. But USDA is not awarding to food banks — it is awarding to nonprofit intermediaries who will run competitive subaward programs. Two audiences, two entirely different jobs, and one of them has 43 days.
Read articleBank of America's Neighborhood Builders 2026 application closes July 1. The $300M-since-2004 program awards $100K–$400K plus a leadership program, but the 10-percent-of-revenue cap and market-eligibility rules quietly filter out most applicants before reviewers ever see a proposal.
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