RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write clear, measurable objectives and define the scope for the project 'Challenging environments tolerant Smart systems for IoT and AI' (CHARM) under Horizon 2020.

assistant: **Objectives**

Digitalization has been identified as one of the key enablers for renewal and competitiveness of European manufacturing industries. However, grasping the digitalization and IoT-related opportunities can be limited by the harsh environmental conditions of the manufacturing processes and end use environments. The ECSEL-IA 2019 project initiative CHARM aims to contribute to solving this problem by developing ECS technologies that tolerate harsh industrial environments. The project concept centres around real industrial challenges from different types of end use industries. The synergies and impacts arise from similarities in technology solutions serving different applications and industry sectors.The CHARM Use Cases include six different industry sectors, majority of them presented by innovative cutting-edge large enterprises that belong to the world-wide market leaders of their own sectors – while most of them being new to the ECSEL ecosystem: mining (Sandvik Mining and Construction Oy, FI), paper mills (Valmet Technologies Oy, FI), machining (Tornos SA, CH), solar panel manufacturing lines (Applied Materials Italia SRL, IT), nuclear power plants maintenance and decommissioning (ÚJV Řež a.s., CZ), and professional digital printing (Océ-Technologies B.V, NL). The planned demonstrators engage these big players with European ECS value chains and showcase capabilities that serve manufacturing industries’ needs at large. The new technologies to be developed include novel multi-gas sensors, robust high temperature and pressure sensors, flexible sensors for paper machine rolls, wireless power transfer systems, connectivity solutions for rotating parts, advanced vision systems, and enablers for autonomous driving.The project consortium includes 12 SMEs, 14 LEs and 12 RTOs, and co
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write clear, measurable objectives and define the scope for the project 'Towards Operational Supermodel Climate Prediction' (TOSCP) under Horizon Europe.

assistant: **Objectives**

TOSCP will proof-of-concept a radically new approach to climate prediction based on supermodelling. Climate prediction promises reliable information on climate and its extremes for the coming seasons and years. This information is critical to providing climate services that are needed to build a resilient and sustainable society. Unfortunately, predicting climate in the extra-tropics remains a major challenge. Model systematic error is the major limitation. In the North Atlantic-European sector it leads to the strong under representation of the predictable dynamics, compared to unpredictable atmospheric weather patterns. The current approach to account for such errors is to perform a vast number of independent simulations with different models. This is computationally expensive and impractical in an operational context. The supermodel approach developed in the ERC-STERCP project is aptly suited to improve climate prediction. A supermodel combines a set of different models in runtime so that the individual model errors compensate so as to produce a superior model. The approach is extremely effective in mitigating long-standing model errors, and can control the ratio between predictable and unpredictable dynamics. TOSCP will reconfigure a supermodel developed in the STERCP project for climate prediction. The supermodel is based on three state-of-the-art climate models. We will develop new ensemble generation and data assimilation schemes. We aim to demonstrate that supermodel climate predictions greatly outperform the standard approach to climate prediction that is currently used for climate services. Dialogue with users and providers of climateservices will ensure the development of an optimal configuration of the new prediction system and its use in operational climate
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write clear, measurable objectives and define the scope for the project 'Order at the Mesoscale: Connecting supercomputing of compressible convection to classical and quantum machine learning' (MesoComp) under Horizon Europe.

assistant: **Objectives**

Turbulent convection flows in nature display prominent patterns in the mesoscale range whose characteristic length in the horizontal directions exceeds the system scale height. Known as the turbulent superstructure of convection, they are absent on both larger and smaller scales and evolve in ways not yet understood; but they are an essential link in the heat and momentum transport to larger scales, an important driver of intermittent fluid motion at sub-mesoscales, and one major source of uncertainty in the prognosis of climate change and space weather. In MesoComp, I will investigate the formation of superstructures in massively parallel simulations of compressible turbulent convection in horizontally extended domains, aiming for a deeper understanding of their dynamical origin and role in the transport of heat and momentum. I will then use these high-fidelity simulations to build recurrent machine learning models to predict the evolution and statistics of the superstructure and thus quantify the transport fluxes beyond the mesoscale. I will also analyse the impact of the mesoscale structures on the highly intermittent statistics at the small-scale of the flow and reveal the resulting feedback in the form of improved subgrid parametrizations by means of generative machine learning. MesoComp opens additional doors to the application of quantum algorithms in machine learning which significantly improve the statistical sampling and data compression properties compared to their classical counterparts. From a longer-term perspective, my research results in a quantum advantage for the numerical analysis of classical turbulence, which accelerates the parametrizations of mesoscale convection and increases their fidelity. This work will finally lead to more precise predictions
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the specific objectives and expected outcomes for 'Circular Economy Resource Information System' in the context of a Horizon Europe call.

assistant: **Objectives**

The rising demand and limited supply of critical raw materials (CRMs) impair the ability to rapidly adopt technological change toward green and sustainable technologies, which directly affect the resilience of EU industries seeking to achieve Green Deal objectives for an equitable, zero-emission, and digitalized Europe. In response to these challenges, the European Commission aims to minimize the loss of secondary raw materials (SRM) and optimize their reuse across value chains. CE-RISE will develop and pilot an integrated framework and an ensuing resource information system to identify optimal solutions for the effective reuse, recovery, and/or recycling of materials by (a) defining a set of criteria (RE criteria) to evaluate the extent to which products and embedded components can be reused, repaired, refurbished and/or recycled; (b) incorporating information on RE criteria and material composition of products into the Digital product passport (DPP) to enable traceability of materials in the supply chain; (c) integrating DPP with information on the environmental footprint of products (PEF), socio-economic and environmental (SEE) impacts of RE processes; (d) enabling confidential and anonymized information sharing among actors throughout value chains; (e) providing open-access software application to disseminate information on the assessment of RE criteria, PEF and SEE impacts of products to all stakeholders including consumers and policymakers. The results will be piloted on four case studies. CE-RISE will contribute to bridging the digital divide in society by supplying affordable second-hand ICT devices, and supporting access to digital education and job opportunities. Ultimately, CE-RISE will foster a dynamic ecosystem geared toward prolonging the use of materials
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Paleoepidemiology of infectious diseases across the Holocene EpidemioCene' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

The frequency of infectious disease emergence has increased over the last decades, a phenomenon attributed to modern global sociodemographic and environmental changes. However, major transformations of human lifestyles and technologies associated with large-scale repercussions on the planet's ecosystems have occurred since prehistory. Measuring the epidemiological impacts of these changes on large time scales could provide precious lessons to anticipate the consequences of ongoing processes. Recent advances in the field of paleogenetics have opened promising perspectives in this regard by allowing the identification of various pathogens from skeletal remains dating back several millennia. The use of ancient DNA evidence for quantitative assessments of past disease distribution and determinants has, however, largely been missing so far. With this project, my group will leverage tens of thousands of ancient DNA libraries and sequencing datasets produced during recent years at the host and partner institutions to undertake large-scale paleoepidemiological investigations covering the past 12,000 years of human history in western Eurasia. Novel laboratory, bioinformatic and statistical approaches will be developed to maximize pathogen detection sensitivity and estimate variations in disease frequency from ancient metagenomic data while accounting for expected sources of biases. This will be combined with epidemiological modelling and phylodynamic analyses of large sets of ancient pathogen genomes to unveil paleoepidemiological dynamics and their associations with sociocultural transitions and environmental changes throughout the Holocene. This project will provide unprecedented insights into the inseparable history of humans and their pathogens, a multi-millennial perspectiv
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an executive summary for the EU project 'An integrated approach to dissect determinants, risk factors and pathways of ageing of the immune system.' (ImmunoAgeing) targeting Horizon 2020.

assistant: **Abstract**

Age-related changes in the immune system, also known as ‘immunosenescence’, have a huge detrimental impact on the health of our ageing populations. However, the extent and mechanisms of the changes, and thus possible routes to prevention or alleviation, are largely unknown. We propose to analyse immunosenescence with unprecedented resolution by determining in large cohorts of volunteers the changes with age in circulating levels of ~140 subtypes of immune system cells and ~25 immune molecules, including cytokines and antibodies. We will also quantify age-related immune dysfunction, and notably autoreactivity, by determining the specificity and level of key circulating autoantibodies and their correlation with contractions in the B & T cell repertoire in our large general population ageing cohorts. Underlying genetic and major environmental factors -- including life style choices like smoking, diet, alcohol intake and, physical activity as well as transmissible viral infections -- will be systematically analysed. The analyses will build on our studies on levels of immune system cell subsets and inflammatory biomarkers in genetically well characterized population cohorts, and will be followed up by examining sorted circulating cells for ageing-related shifts in transcriptional profiles and function. For these targetted experiments, our focus,will be on cell types that show the greatest changes with age and/or are most critical for immune responsiveness; and from volunteers selected based on their genetic and epidemiological exposure profiles. Studies will be facilitated by complementary expertise of the participating centres, capitalising on unique bioresources. Overall, the advances in knowledge should better elucidate pathways of immunosenescence, reveal new biomarkers
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose a compelling abstract for 'European Leadership in Cultural, Science and Innovation Diplomacy' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

The European Union has made a major start articulating the relevance of cultural and science for its external relations. What has yet to be done, however, is to make explicit the assumptions underpinning much of this work on cultural and science diplomacy and to codify and articulate it as part of a systematic and strategic approach to understanding the direction of travel of science and cultural diplomacy that locates developments in these fields within the evolving global and EU external relations context. EL-CSID will do this, with the added ambition to identify how the Union and its member states might collectively and individually develop a good institutional and strategic policy environment for extra-regional culture and science diplomacy. Hence, the over-arching objectives of this proposed project are threefold:1) To detail and analyse the manner in which the EU operates in the domains of cultural and science diplomacy in the current era; comparing its bilateral and multilateral cultural and science ties between states, regions, and public and private international organisations.2) To examine the degree to which cultural and science diplomacy can enhance the interests of the EU in the contemporary world order and to identify:(a) How cultural and science diplomacy can contribute to Europe’s standing as an international actor;(b) Opportunities offered by enhanced coordination and collaboration amongst the EU, its members and their extra-European partners; and(c) Constraints posed by economic and socio-political factors affecting the evolving operating environments of both science and cultural diplomacy. 3) To identify a series of mechanisms/platforms to raise awareness among relevant stakeholders of the importance of science and culture as vehicles for enhancing th
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Seventh Framework proposal on 'New approaches to analyze and exploit the human B and T cell response against viruses'.

assistant: **Innovation**

Immunological memory confers long term protection against pathogens and is the basis of successful vaccination.Following antigenic stimulation long lived plasma cells and memory B cells are maintained for a lifetime, conferring immediate protection and enhanced responsiveness to the eliciting antigen. However, in the case of variable pathogens such as influenza virus, B cell memory is only partially effective, depending on the extent of similarity between the preceding and the new viruses. The B cell response is dominated by serotype-specific antibodies and heterosubtypic antibodies capable of neutralizing several serotypes appear to be extremely rare.Understanding the basis of broadly neutralizing antibody responses is a critical aspect for the development of more effective vaccines. In this project we will explore the specificity and dynamics of human antibody responses to influenza virus by using newly developed technological platforms to culture human B cells and plasma cells and to analyze the repertoire of human naïve and memory T cells. High throughput functional screenings, structural analysis and testing in animal models will provide a thorough characterization of the human immune response. The B cell and T cell analysis aims at understanding fundamental aspects of the immune response such as: the selection and diversification of memory B cells; the individual variability of the antibody response, the mechanisms of T-B cooperation and the consequences of the original antigenic sin and of aging on the immune response. This analysis will be complemented by a translational approach whereby broadly neutralizing human monoclonal antibodies will be developed and used: i) for passive vaccination against highly variable viruses; ii) for vaccine design through the ident
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the novelty, innovation potential and advance beyond the state of the art for 'Multi-wavelength sensor for sub-micron particle analysis' (MULTISENS).

assistant: **Innovation**

Increasing needs for reliable and cost effective real time particulate emissions measurement instrumentation have been recognized worldwide, that motivate the current collaborative research project. The aim of this research is to develop a low cost, industrial grade, real time submicron particle sensor that can be used as a means of enforcing compliance to emission standards and as a tool for development of clean engines and advanced aftertreatment technology. Risk is high but well accounted through contingency planning and is justified based on the significant benefits anticipated from the success of the project, due to the huge market potential of such a product. Novelty in the product design stems from its real time, high sensitivity, submicron particle measuring capabilities in the undiluted exhaust environment and software design to allow more accurate size analysis that accounts for non spherical particles, achieved exploiting the operating principle of multiwavelength laser extinction in combination with a white cell. These features will be verified through an extensive array of experimental tests with three enduse product applications (extruded filters, fibrous filters and internal combustion engines). The present consortium combines a horizontal chain of SME manufacturers, end users and RTD organizations, towards the goal of achieving cost effective solutions to the problem of real time monitoring of submicron particle emissions. The new particle sensor is expected to reach the market after an additional 2 year development prior to series manufacturing and commercial exploitation.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the 'Expected Impact' section for the project 'Addressing challenging issues for turbulent premixed hydrogen combustion modeling using novel technologies' (Green-Combustion), addressing dissemination and exploitation.

assistant: **Impact**

Hydrogen is enjoying a renewed and rapidly growing attention in Europe and around the world. The most important advantage of hydrogen usage is that it does emit greenhouse gases. The EU's priority is to develop renewable hydrogen where the H2 is produced from the electrolysis of water, with the electricity stemming from renewable energy. This meets the goal of net-zero greenhouse gas emissions by 2050. There are two options for hydrogen usage. One is the drop-in approach, where only a limited amount of H2 can be added to the fossil fuel to reuse the existing chambers, due to the very different properties of H2. However, this option still emits a large amount of greenhouse gases. The other one is to redesign the existing chambers to burn substantial H2. The most challenging issues for burning substantial H2 are the strong differential diffusion and its induced instabilities. The state-of-the-art combustion model cannot capture these phenomena with accuracy, particularly when they further interact with turbulence. The aim of this proposal is to develop and validate such a model to close this gap. The model will be based on a flamelet approach, and a novel machine learning technology will be introduced to consider the differential diffusion (objective 1). To model the positive and negative curvatures in the unstable premixed H2 flame, a novel flamelet model will be developed based on the detailed a priori and a posteriori analyses of the state-of-the-art DNS datasets (objective 2). Finally, the developed flamelet model will be extended to LES with the differential diffusion and curvature related sub-grid scale (SGS) effects being considered with the artificially thickened flame (ATF) model. Particularly, the SGS effects will be considered by modifying the efficiency functi