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: Compose a compelling abstract for 'QUANTITATIVE VULNERABILITY ASSESSMENT FOR THE EVALUATION OF LANDSLIDE RISK IN INHABITED AREAS' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

Landslides constitute a major threat in mountainous areas. In recent years the risk assessment for landslides has shifted from qualitative to quantitative. The components of the risk are the hazard and the vulnerability of the exposed elements. Although for the quantification of the hazard there is considerable ongoing research, the work for the structural and societal vulnerability is limited and the evaluations are mostly judgmental or empirical, resulting in high subjectivity.The objective of this proposal is the development of analytical methodologies to be applied for the quantification of the vulnerability of buildings and people that are threatened by rockfalls and slides. Two load-bearing systems will be considered: reinforced-concrete, RC, and masonry structures. Additionally, the societal vulnerability will be calculated based on the potential extent of the building damage. The methodologies will be applied to selected case-studies.For the evaluation of the structural response of the buildings, structural analysis methods will be used. For RC structures the response of the load-bearing system will be simulated using models for high stain-rate impacts and/or the finite-element, FE, method. The latter will also be used for masonries, as well as failure criteria that are compatible with the FE analysis output. Where applicable, the potential for progressive collapse following local failure will be investigated through FE analysis, too. The vulnerability of the structures to landslides will be quantified using probabilistic vulnerability indices or thought probabilistic fragility curve diagrams. For the quantification of societal vulnerability a step-by-step methodology for the construction of frequency-fatalities (F-N) curves will be developed for each landslide
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 'Disrupting the horticulture industry with smart lighting solutions' in the context of a Horizon Europe call.

assistant: **Objectives**

Artificial lighting systems are holding back wide adoption of vertical farms due to 1) high energy costs, and 2) inability to fully replicate the sun spectrum. It also affects greenhouses profitability, as they also depend on artificial lighting systems.miniSun is the most energy-efficient lighting system for the horticulture industry -50% reduction compared to existing technologies-, able to fully mimic the sun spectrum based on ground-breaking luminaires that combine proprietary LED and smart driver technologies with state-of-the-art sensors and AI/ML algorithms. With miniSun, indoor farming becomes profitable for a variety of crops -e.g. cucumber, berries, tomato, pepper-, making it possible to grow them in vertical farms for the very first time.Our circular business model -low CAPEX/OPEX, recurring revenues over time- will enable rapid growth. Our vision is to become a world leader in the horticulture LED lighting market, addressing a 10% of the market share by 2030.


**Keywords:** LED technology,crop growth,greenhouses,indoor farming,vertical farming,nano engineering,nano-materials,green gap
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 'Language Resource Pool for Sentiment Analysis in European Languages' (EUROSENTIMENT), addressing dissemination and exploitation.

assistant: **Impact**

During the last years, there has been a high increase in the use of social networks and blogs so that citizens and consumers express now widely their opinions about different topics like politics, society and media, through these channels. However the development of systems for sentiment analysis of these opinions is hampered by difficulties to access and get the necessary language resources, for several reasons:(i) language resource owners fears for losing competitiveness;(ii) lack of agreed language resource schemas for sentiment analysis and not normalised magnitudes for measuring sentiment strength;(iii) high costs for adapting existing language resources for sentiment analysis;(iv) reduced visibility, accessibility and interoperability of the language resources.<br/>The project aims to develop a large shared data pool for language resources meant to be used by sentiment analysis systems, in order to bundle together scattered resources. One goal is to extend the WordNet Domain to sentiment analysis. The project will also specify a schema for sentiment analysis and normalise the metrics used for sentiment strength. The sharing of resources will be supported by a self-sustainable and profitable framework based on a community governance model, offering contributors the possibility of exploiting commercially the resources they provide.<br/>The project is structured around following steps:- definition of a common schema to ensure interoperability;- acquisition and clean up of language resources;- deployment of the resources and- validation through opinion mining demonstrators in the hotel and electronic domains.<br/>The targeted users are B2B including service developers, content providers, LR owners.The data pool will cover 6 languages: English Catalan German Italian Po
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 'Concept and Approach' section for a Seventh Framework proposal on 'China’s Electricity Industry: Efficiency, growth and the environment'.

assistant: **Concept**

The electricity industry in China, the second in the world, has to meet three sometimes incompatible challenges: to supply the fast growing economy with enough power; to improve the technical and cost efficiency of power plants; and finally, to reduce the health-damaging impactof  its coal-fired power plans, which are one of the biggest pollution sources in the World. Understanding the extent and nature of these challenges is of major concern for individuals as well as decision- makers in the public as in the private sector in China and in Europe. The present study aims at providing new quantitative evidence on each of these challenges using original data in particular through survey work through a collaborative projects and exchanges between academic specialists of quantitative economy and a commercial SME that seek developing its activity and support its clients on the Chinese markets. The proposed collaboration between academia and an SME (SwissElectricity SA) aims thus at furthering our understanding of the industry’s potential in improving its efficiency and supply structure. This will help China progress in the reform of its institutional regime to promote both a cleaner and more productive electricity industry. The proposed research will be aimed at providing policy makers and industrialists with a comprehensive and detailed economic and technical assessment of the capability of China’s electricity industry to meet the environmental demand for its sustainable development and growth.
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 Horizon 2020 proposal on 'Deciphering the impact of exposures from the gut microbiome-derived molecular complex in  human health and disease'.

assistant: **Innovation**

The human gut microbiome is a complex ecosystem, which contributes essential functions to human physiology. Changes to the microbiome are associated with several chronic diseases characterised by inflammation, including neurodegenerative and autoimmune diseases. Microbiome-derived effector molecules comprising nucleic acids, (poly)peptides and metabolites are present at high levels in the gut but have so far eluded systematic study. This gap in knowledge is limiting mechanistic understanding of the microbiome’s functional impact on chronic diseases such as Parkinson’s disease (PD) and rheumatoid arthritis (RA). Here, I will for the first time integrate a combination of advanced high-resolution methodologies to comprehensively identify the constituents of this molecular complex and their impact on the human immune system. First, I will perform a quantitative, integrated multi-omic analysis on microbiome samples collected from healthy individuals and patients with newly diagnosed PD or RA. I will integrate and analyse the data using a newly developed knowledge base. Using contextualised prior knowledge (ExpoBiome Map) and machine learning methods, I will identify microbial molecules associated with condition-specific immunophenotypes. Second, I will validate and track the biomarker signature during a model clinical intervention (therapeutic fasting) to predict treatment outcomes. Third, microbes and molecules will be screened in personalised HuMiX gut-on-chip models to identify novel anti-inflammatory compounds. By providing mechanistic insights into the molecular basis of human-microbiome interactions, the project will generate essential new knowledge about causal relationships between the gut microbiome and the immune system in health and disease. By facilitating the el
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 'Modern Challenges in Learning Theory' (GENERALIZATION) under Horizon Europe.

assistant: **Objectives**

Recent years have witnessed tremendous progress in the field of Machine Learning (ML). Learning algorithms are applied in an ever-increasing variety of contexts, ranging from engineering challenges such as self-driving cars all the way to societal contexts involving private data. These developments pose important challenges (i) Many of the recent breakthroughs demonstrate phenomena that lack explanations, and sometimes even contradict conventional wisdom. One main reason for this is because classical ML theory adopts a worst-case perspective which is too pessimistic to explain practical ML: in reality data is rarely worst-case, and experiments indicate that often much less data is needed than predicted by traditional theory. (ii) The increase in ML applications that involve private and sensitive data highlights the need for algorithms that handle the data responsibly. While this need has been addressed by the field of Differential Privacy (DP), the cost of privacy remains poorly understood: How much more data does private learning require, compared to learning without privacy constraints? Inspired by these challenges, our guiding question is:  How much data is needed for learning? Towards answering this question we aim to develop a theory of generalization which complements the traditional theory and is better fit to model real-world learning tasks. We will base it on distribution-, data-, and algorithm-dependent perspectives. These complement the  distribution-free worst-case perspective of the classical theory, and are suitable for exploiting specific properties of a given learning task. We will use this theory to study various settings, including supervised, semisupervised, interactive, and private learning. We believe that this research will advance the field in ter
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 'Enhancing the Risk Stratification of Severe Arboviral diseases using host-response Biomarkers in Brazil.' (RISE-ARBB).

assistant: **Innovation**

Arboviruses such as dengue, Zika, and chikungunya, are experiencing a rapid surge in incidence and geographical distribution, representing a global public health threat. Improved risk assessment tools for arboviral diseases are urgently needed to enhance clinical management, since current risk stratification is based on algorithms with limited prognostic accuracy. Strong evidence suggests that immune and endothelial activation markers can reliably identify infections likely to progress to severe outcomes; however, data on specific arboviruses are scarce and conflicting.The main aim of RISE-ARBB is to enhance early identification of severe arboviral diseases. The specific objectives are to: (1) evaluate head-to-head a wide panel of host-response biomarkers for early identification of severe arboviral diseases, using a large prospective cohort study and Luminex platform; (2) assess the prognostic performance of two novel point-of-care rapid triaging tests based on the quantification of sTREM1 and Angpt2 markers; (3) develop an evidence-based algorithm integrating the best performing marker(s) with clinical severity indicators to improve clinical guidelines; and (4) develop an exploitation strategy, including regulatory and go-to-market plan.Such objectives will be addressed through a prospective cohort study involving ~2,000 individuals over 1 year-old presenting with symptomatic arbovirus infection at emergency departments of 3 hospitals in Brazil, the global epicenter of arbovirus epidemics. The results have the ground-breaking potential to avoid preventable deaths and decrease health system costs during future arbovirus outbreaks and epidemics globally. This fellowship will enable me to upgrade my training in translational research on arboviral diseases in endemic sett
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 the overall concept, methodology and approach for the project 'STRATEGIES TO STRENGTHEN EUROPEAN LINGUISTIC CAPITAL IN A GLOBALISED WORLD' (MultiLX).

assistant: **Concept**

This research project will collect and analyse evidence to inform transformation of language policy in Europe. Increased mobility of people across territories has altered the linguistic make-up of Europe, while rapid developments in AI and other digital technology have revolutionised the way people communicate. However, EU language policy has been slow to respond to the pace of these changes. Our challenge in an increasingly diverse, digital and multilingual Europe is to reform language policy to shape a future for young people which is inclusive, democratic and equitable. We will address this challenge by providing policy makers with comprehensive evidence of the communicative practices and language ideologies of young people in Europe. We will examine how young This research project will collect and analyse evidence to inform transformation of language policy in Europe. Increased mobility of people across territories has altered the linguistic make-up of Europe, while rapid developments in AI and other digital technology have revolutionised the way people communicate. However, EU language policy has been slow to respond to the pace of these changes. Our challenge in an increasingly diverse, digital and multilingual Europe is to reform language policy to shape a future for young people which is inclusive, democratic and equitable. We will address this challenge by providing policy makers with comprehensive evidence of the communicative practices and language ideologies of young people in Europe. We will examine how young people use language in multiple locations in Europe, focusing on their communication in digital, creative and everyday contexts. We will observe young people’s interactions in six cities in five countries, and elicit their perspectives on language, ide
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 the overall concept, methodology and approach for the project 'Continuous Production of Meso-structured Metal-Organic Frameworks' (CPMesoMOF).

assistant: **Concept**

Metal-Organic Frameworks (MOFs) are an intriguing class of porous materials with promising applications across energy, environmental, and healthcare sectors. Despite their potential, the large-scale manufacturing of MOFs remains a significant challenge, largely due to the reliance on batch manufacturing methods. These methods often result in products with a wide size distribution, leading to serious operational issues in downstream processes like filtration and drying. Additionally, batch-to-batch variations and the production of nano- to near-micron-sized crystals pose further challenges, particularly in packed bed applications for gas separations. Small-sized MOFs in industrial columns, such as pressure swing adsorption (PSA) units, create higher pressure drops, hindering their ability to operate under industrial conditions (e.g., flue gas, compressed air, higher pressures). In CPM-MOF, we aim to overcome these obstacles by developing a set of standard operating procedures (SOPs) based on chemical engineering principles for the continuous manufacturing of mesocrystal versions of MOFs. Mesocrystals, with their hierarchically crystalline structures formed via the oriented attachment of nanocrystals, self-regulate their size during growth. This process results in a product with a relatively larger size and a narrow size distribution, which are easier to handle in downstream operations and produce a lower pressure drop-in PSA units. The development of SOPs will be supported by process analytical technology (PAT) tools and guided by a novel theoretical framework, ensuring precise control over the manufacturing process. CPM-MOF represents a significant innovation, offering a scalable, sustainable, and economically viable solution to the current limitations in MOF manufactur
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 Fourth Framework proposal on 'Implementation of a central repository to support effective configuration management'.

assistant: **Innovation**

This ESSI Process Improvement Experiment (PIE) is aimed at improving the current Space Software Italy's (SSI) Configuration Management (CM) practices with the support of the CCC/Harvest tool during an industrial software development project.As a direct result of the experiment, SSI expects to see benefits on the following aspects:- Increase its productivity reducing costs of Configuration Management (CM) activities - Reduce the risks related to the change process- Provide a valid support for the developers in managing Software units and documentation during the software life cycle- Implement a centralised repository for Software and related documentation facilitating software reusability policiesTHE EXPERIMENTThe pilot project (the estimated software size is 75K DSI) is related to the development of a ground segment for the handling and control of a telecommunication satellite providing connections between fixed ground stationing and mobile ones (i.e., ships, trucks). The selection of a ground Software system as the baseline for the experiment, represents an environment particularly significant; this is envisaged not only by SSI but also by all firms involved in the development of this kind of systems, which all may get benefits from the achieved results.The PIE major activities are the following:- A first assessment of the CM process to define a detailed improvement plan- Definition, implementation and refinement of models related to the relevant states of the documentation, software and problem management life cycle- Definition of a central repository - A final assessment of the CM process to evaluate the achieved resultsAssessments are performed using the SPICE methodology. EXPECTED IMPACT AND EXPERIENCEAt the completion of the experiment, it is expected to achieve a