FY 2025 Coordinated Family and Community Engagement Continuation Grant - Fund Code 237

Commonwealth Cares for Children (C3) Grant is sponsored by Massachusetts Department of Early Education and Care (EEC). The C3 grants are non-competitive and provide monthly operational funding to eligible EEC-licensed child care providers in Massachusetts. Funds can be used for workforce investments (salaries, benefits, professional development), quality improvements (supplies, curriculum), and facility costs (rent, utilities, maintenance). The program aims to stabilize and strengthen the state's early education and care system.

Child Care Financial Assistance programs (CCFA) is sponsored by Massachusetts Department of Early Education and Care (EEC). The CCFA program provides financial assistance to income-eligible families (at or below 85% of the state median income) for early education, care, and out-of-school time programs. While this directly assists families, it is a crucial funding stream for childcare providers as it allows them to accept children with vouchers, increasing enrollment and revenue.

Developing a model for a Data Lab for Science linking with EOSC and RAISE (RAISE pilot) (CSA) is sponsored by European Commission — Horizon Europe. Expected Outcome: Project are expected to contribute to the following outcomes: a sustainable operational model and reference blueprint for a Data Lab for Science linking with the European Open Science Cloud (EOSC) and the Resource for AI Science in Europe (RAISE), enabling researchers to accelerate the uptake of AI in Science; easier access for researchers to large amounts of AI-ready research data, and to associated high-quality data services to seamlessly develop and train AI models for science; and better alignment, interoperability and scaling across countries and disciplines of AI workflows and related services such as data pooling, anonymisation, curation, or synthetic data generation. Scope: Data Labs are introduced in the Data Union Strategy as a connector between AI factories and the Common European Data Spaces, providing specialised services to enable turning data into useable resources for AI training and the development of AI applications such as data pooling, curation, pseudonymisation, and synthetic data generation. A significant number of tools and services within the scope of the Data Lab concept have been developed by research infrastructures and scientific service providers, notably organisations that operate or contribute resources to EOSC, the Common European Data Space for research and innovation. The development of Data Labs addressing the needs of scientists is a key element in the AI in Science strategy, as a collaboration between RAISE and EOSC. This action aims to anchor the implementation of the Data Lab model with the development of EOSC and RAISE. The Data Lab for science will be a key deliverable and a key element of the data work strand of RAISE. Proposals should include all of the following activities: Identify, consolidate and orchestrate existing data, services and other relevant results of Horizon Europe EOSC-related projects, as well as other community-endorsed promising solutions in view of setting up and implementing a Data Lab for Science, including a mapping of such results and solutions to facilitate their navigation, access and use. The results and solutions may encompass relevant data services, but also related policies, guidance and training approaches. Identify and collect necessary elements for seamlessly integrating a Data Lab for Science into the existing European data and high-performance computing infrastructures enabling cohesive workflows. Identify technical, operational, legal, organisational or any other type of bottlenecks or gaps preventing the seamless sharing, reuse or pooling of data for AI development and applications in science. Develop a blueprint for a Data Lab for Science addressing such bottlenecks and support its implementation through the demonstration of use cases, in coordination with the EOSC Federation and relevant developments in the EuroHPC Federation. Develop governance and financing models that ensure a sustainable pathway for a Data Lab for Science beyond the project’s duration. Identify researchers’ needs and gaps on data services in different scientific disciplines that are not addressed by existing solutions and propose recommendations for future policy and funding actions. Connect and encourage collaboration among projects offering data and data-related services for AI in Science. The action should build on relevant results of Horizon Europe projects that contribute to the development of EOSC and RAISE, as well as EU-funded projects developing AI solutions for science such as foundation models in science, data commons, or AI research assistants. The action should closely coordinate with relevant Horizon Europe projects such as those funded under HORIZON-INFRA-2025-01-EOSC-03, HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-62 and HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-61, as well as with relevant projects under EuroHPC and the AI Factories. Programme areas: Horizon Europe (HORIZON), Excellent Science, Research infrastructures, Global Challenges and European Industrial Competitiveness, Digital, Industry and Space, Artificial Intelligence and Robotics

Bringing innovative climate preparedness and resilience solutions closer to the market is sponsored by European Commission — Horizon Europe. Expected Outcome: In direct support of the upcoming European Integrated Framework for Climate Resilience, the successful project is expected to address all of the following outcomes: Climate preparedness and resilience innovative solutions, including Nature-Based solutions, advance in their investment journey and get closer to the market, strengthening the competitiveness of the companies and organisations developing them. Public authorities are mobilised to stimulate demand for climate adaptation solutions, thereby contributing to the development and maturity of the European resilience market. Structural and operational bottlenecks to the deployment of climate resilience solutions are identified, along with good practices, and policy-relevant insights are derived from lessons learned. Scope: Rationale Preparedness to current and future climate change is increasingly recognised as a driver of innovation and an emerging economic opportunity. The growing impacts of climate change are accelerating demand for technologies, services, practices and solutions that enable societies and economies to anticipate and manage climate risks. Already in 2021, the EU Adaptation Strategy highlighted the importance of scaling such solutions in order to strengthen resilience across economic sectors and regions. Moreover, the 2025 Preparedness Union Strategy outlines the link between climate security and the need for stronger public-private cooperation as a critical pillar of the EU’s preparedness. As climate change and its cascading impacts intensify - through heatwaves, floods, droughts, ecosystem and supply-chain disruptions - the ability of industries, societies and economies to anticipate, adapt, and respond is becoming a decisive factor in security, strategic autonomy, productivity, investment attractiveness, and long-term growth. Climate resilience technologies are key to strengthen Europe’s strategic autonomy. By anticipating climate impacts and embedding resilience into for example industrial, agricultural, maritime and forest-based, civil security, health, mobility and urban systems, Europe has the unique opportunity to reduce exposure to external shocks and reinforce the reliability of its internal market, in increasingly uncertain geopolitical times. Nature-based solutions have notably been identified as promising but there is a need to support their scaling up. While EU research and innovation programmes have generated a substantial portfolio of climate adaptation solutions, a persistent gap remains between successful research outcomes and their wider deployment in economic sectors. Many promising solutions remain at demonstration stage and struggle to reach broader adoption due to fragmented demand, limited opportunities for real-world testing and insufficient connections between innovators and potential public and private buyers and users. The project will address the lack of a coherent, EU-level pathway for scaling climate resilience solutions across all relevant economic sectors, which currently leads to underexploited innovation potential. By taking a business-focused approach, it aims to strengthen competitiveness, enable cross-sector replication, and help embed climate resilience by design across the European economy, acting as a bridge between Horizon Europe, the future FP10 and the European Competitiveness Fund. Activities of the project The proposals should address all the following aspects: Services provided by the central consortium Proposals should develop a common framework of intervention, setting-up the blueprint for the financial support to businesses and projects provided in form of financial support to third parties. Recognising that many climate preparedness and resilience solutions address public needs, the project is expected to engage with and leverage privileged access to public authorities, including those directly involved in various EU initiatives (such as the EU Mission on Adaptation to Climate Change and o Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Climate, Energy and Mobility

NSF 25-545 STEM K-12 is a new $30 million program supporting innovative, multidisciplinary research and development that builds theory and informs education practice in a rapidly evolving technological landscape, with a specific emphasis on artificial intelligence and emerging technologies. The program supports fundamental, applied, and translational research that enhances STEM teaching and learning across formal and informal K-12 settings, including how AI and other emerging technologies can be effectively leveraged to study and enhance STEM teaching and learning. Released in September 2025 as part of the coordinated federal response to Executive Order 14277 on advancing AI education for American youth, the program accepts proposals on a rolling basis with no fixed deadline. Strong fit for education researchers, learning scientists, AI/HCI researchers, and PreK-12 education developers exploring AI tutoring, intelligent tutoring systems, AI-augmented assessments, AI literacy curricula, and AI for STEM teacher preparation.