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 the 'Expected Impact' section for the project 'VISIONARY NATURE BASED ACTIONS FOR HEALTH, WELLBEING & RESILIENCE IN CITIES (VARCITIES)' (VARCITIES), addressing dissemination and exploitation.

assistant: **Impact**

In an increasingly urbanising world, governments and international corporations strive to increase productivity of cities, recognized as economy growth hubs, as well as ensuring better quality of life and living conditions to citizens. Although significant effort is performed by international organisations, researchers, etc. to transform the challenges of Cities into opportunities, the visions of our urban future are trending towards bleak. Social services and health facilities are significantly affected in negative ways owed to the increase in urban populations (70% by 2050). Air pollution and urban exacerbation of heat islands is exacerbating. Nature will struggle to compensate in the future City, as rural land is predicted to shrink by 30% affecting liveability. VARCITIES puts the citizen and the “human community” in the eye of the future cities’ vision. Future cities should evolve to be human centred cities. The vision of VARCITIES is to implement real, visionary ideas and add value by establishing sustainable models for increasing H&WB of citizens (children, young people, middle age, elderly) that are exposed to diverse climatic conditions and challenges around Europe (e.g. from harsh winters in Skelleftea-SE to hot summers in Chania-GR, from deprived areas in Novo mesto-SI to increased pollution in Malta) through shared public spaces that make cities liveable and welcoming.


**Keywords:** Nature based solutions, vision for cities
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 Fifth Framework proposal on 'Strategies for implementing sustainable management of peatlands in borneo'.

assistant: **Innovation**

About one quarter of the world's tropical peat lands (11 million hectares) occur in Borneo. Many development projects on tropical peat lands fail through a lack of understanding of the natural landscape functions of this ecosystem. The STRAPEAT project builds a framework and rationale for managing the change in tropical peat ecosystems brought about by various forms of land use, based upon an assessment of the physical and chemical, ecological and socio-economic characteristics of these ecosystems. These different characteristics which are partly available and partly will be newly collected, are integrated and used to formulate strategies for implementing sustainable management of tropical peat lands. Formulation and implementation of the strategies is carried out in conjunction with stakeholders, policy makers, decision takers and practitioners. The project strengthens the developing country research and institutional capability to formulate and implement 'wise use' strategies for tropical peat lands.
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 a project proposal abstract for 'Privacy Architectures for System Services' to be submitted under Seventh Framework.

assistant: **Abstract**

The proliferation of Internet services and, perhaps unavoidably, Internet crime, has left users more vulnerable than ever before. Taken in conjunction with the expanded deployment of wireless networks and the popularity of mobile devices, this trend is exerting tremendous pressure on user security. Due to the increased likelihood of communication monitoring, the issue of electronic privacy has of late attracted considerable attention.  Unfortunately, implementing privacy in personal computer systems has traditionally been the domain of the paranoid computer specialist. In order for basic privacy to become pervasive among the non-technical user base, it must imitate the usage of other successful security (and other) services. There are a number of available tools that perform data scrubbing on a per file basis. The majority of these tools treat the file as a black box. For example, they will remove cookie, history, document history, log files, and preference files. These techniques work well when the user does not care about the posterity of the data, but they cannot address more complex information scrubbing where often the only course of action is manual removal.  What is needed is a systematic way of handling personally identifying information, at every level of the user’s operating environment: the operating system, the application, and the network. Our goal in this project is to investigate and implement new paradigms for implementing privacy as a system service. The privacy service should automatically sanitize user data according to some predefined user preferences.  Specifically it is the goal of this project to: 1. Investigate the various design options in architectures that provide privacy services. 2. Create the infrastructure necessary for carrying out the ab
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 'Translation of Computational Heart Models into the Clinic'.

assistant: **Concept**

The main objective of ComHeart2Clinic is the integration of multi-scale computational models of the heart into the clinic, addressing the translational challenges of this research. The project is focused on the Cardiac Resynchronization Therapy – CRT, a treatment for Heart Failure. This therapy consists of the placement of three pacing leads in the heart of the patient to restore its synchrony. There is currently a rate of 30% of non-responders to CRT. Recent developments in heart computational models are providing promising tools that could increase CRT effectiveness, broaden inclusion criteria, maximize the CRT benefit and avoid unnecessary procedures. The research hypothesis is that such models will reduce the uncertainty of diagnosis and predict the response to CRT. The expected result is the development and validation of a “ComHeart-assisted CRT” system for an enhanced CRT clinical outcome by a better patient selection, lead position planning and pacemaker configuration. The project will address the personalization of the computational models, the system prototyping and the model verification & system validation.
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 'Chemistry under Force' (ChemForce) targeting Horizon Europe.

assistant: **Abstract**

During the last three decades, physicists and biophysicists have largely exploited single-molecule force spectroscopy (SMFS) to advance many fields of physics, nanotechnology, and biology. The ability to probe one molecule at a time allows us to ask and answer questions that are impossible, or extremely difficult, to approach by ensemble techniques.Chemists did not fall into steps behind physicists and biologists and have benefited little from the advent of SMFS. The mechanics of bonds, which is still in its infancy, could largely benefit from SMFS. A big question like how forces and chemistry affect each other? merits special attention. Major questions, especially concerning the mechanical reversibility of bonds and bond lifetime under tension, could be elucidated. Over the last years, my group has acquired the needed expertise and has developed a range of pioneering SMFS approaches that now allow us to tackle this big question requiring a considerable joint effort between synthetic chemists, chemical physicists and engineers. The extreme difficulty to probe bond reformation after its rupture has been a major failure of SMFS for the last 25 years. We propose here to solve this problem and adapt SMFS to obtain a detailed picture of the mechanics and reversibility of bonds. We will design, synthesize and probe a series of supramolecular and (dynamic) covalent tethered bonds in various geometries and chemical environments. The tethered structure will ensure that the partners of the bond stay in close proximity after being broken open, leaving the possibility of rebinding. This will offer remarkable opportunities to investigate in detail how mechanical forces and proximity can trigger chemical reactions.If we wish to gain a deeper understanding of how forces and chemistry
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 'Simulation modelling of the MAP kinase pathway' (SIMAP) targeting Sixth Framework.

assistant: **Abstract**

The MAP-kinase pathway is a major pathway in relaying signals from the plasma membrane into the nucleus. Its comprehensive understanding is needed for rational anti-cancer therapies.SIMAP will develop a comprehensive and robust simulation model of the pathway; populating it with kinetic parameters extracted from the literature and experimental work; simulating various types of inputs into the model; creating qualitative predictions and verifying them with independent experimentations. The model will integrate and analyse data from various types of resources vertically ranging from single molecule information, pathway modelling, up to clinical data and patient's response. SIMAP pioneers the integration of clinical phenotype into this improved biochemical model. Such multi-scale modelling has never been done in the field of Systems Biology and is a step forward.Combining generic mechanistic modelling of the biochemical behaviour, accompanied by new generic mining techniques and clinical data integration, will create a multidisciplinary platform prototype suitable for modelling of other cancer related pathways.Our approach will enable hypothesis-driven research aimed at the establishment of system level computational platforms available for various pharmaceutical applications. The concepts and methods we will develop will lead to the design of new therapeutic drugs, decrease the attrition rate of new drugs and make it possible to select patients on the basis of individual parameters of disease. Modelling-driven predictions regarding the impact of drug combinations will permit us to dramatically improve the design of pre-clinical and clinical trials, enhance patient response and limit adverse effects. Eventually this will optimise Public Health resources leading to signific
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 'Specialized Help from Be My Eyes – harnessing technology to connect companies directly with their blind and visually impaired users' in the context of a Horizon 2020 call.

assistant: **Objectives**

For the 25 million blind and visually impaired people within the EU, simple everyday tasks, present a daunting challenge that can leave them dependent on the help of relatives and carers and there is a very narrow set of options focused at facilitating their daily lives. This challenge is exacerbated by the small number of companies who adapt their services to the needs of blind and visually impaired users compared to the rest of their customers. Specialized Help from Be My Eyes will build on our existing award-winning digital crowdsourcing app ‘Be My Eyes’ to connect our existing visually impaired user base of 100,000 individuals to customer support functions in subscribing companies. Be My Eyes is in the unique position of being able to provide both the technology and the users to companies who subscribe to our service allowing them to service the visually impaired community, improve their CSR and accessibility agendas and gain relevant product feedback through a single, integrated user platform. Specialised Help will be developed to a fully commercialised product meeting the customer needs as determined by a SME Instrument Phase 1 Feasibility Study. We estimate that within 5 years of product launch we will have sold 185 Specialized Help licenses achieving revenues of €54.3m. We will have hired 30 additional new employees and will control 4.7% of the European market. The return on the project investment in the third year of commercialisation would be 16.98.


**Keywords:** customer service, customer support, blind, visually impaired, app, interface, visually adaptive, help desk, artificial intelligence, human-robot machine learning
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 'HIGH-FIDELITY LES/DNS DATA FOR INNOVATIVE TURBULENCE MODELS' (HIFI-TURB) under Horizon 2020.

assistant: **Objectives**

The most significant challenge in applied fluid dynamics (covering aerospace, energy and propulsion, automotive, maritime industries, chemical process industries) is posed by a lack of understanding of turbulence-dependent features and laminar-to-turbulent transition.  As a consequence, the design and analysis of industrial equipment cannot be relied upon to be accurate in challenging flow conditions. Improving the capabilities of models  for complex fluid flows, offers  the potential of reducing energy consumption of aircraft, cars, and ships, with consequent reduction in emissions and noise of combustion-based engines  The inevitable result is a major impact on economical and environmental factors as well as on economy,  industrial leadership in the highly competitive global position. Hence, the ability to understand, model and predict  turbulence and transition phenomena is the key requirement in the design of efficient and environmentally acceptable fluids-based energy transfer systems. Against this background, the present proposal sets out a highly ambitious and innovative program of work designed to address some influential deficiencies in advanced statistical models of turbulence. The program rests on the following pillars of excellence: • The exploitation of  high-fidelity LES/DNS data for a range of -reference flows that contain key flow features of major interest • The application of novel artificial intelligence and machine-learning algorithms to identify significant correlations between representative turbulent quantities  • The guidance of the research towards improved models by four world-renown industrial and academic experts in turbulence. The consortium is formed by major industrial aeronautical companies and software editor, an SME acting as coordinato
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 concept and methodology overview for 'Formal lexically informed logics for searching the web' under Horizon 2020.

assistant: **Concept**

Semantic search engines use structured knowledge to improve traditional web search, e.g. by directly answering questions from users. Current approaches to semantic search rely on the unrealistic assumption that all true facts about a given domain are explicitly stated in their knowledge base or on the web. To reach their full potential, semantic search engines need the ability to reason about known facts. However, existing logics cannot adequately deal with the imperfect nature of knowledge from the web. One problem is that relevant information tends to be distributed over several heterogeneous knowledge bases that are inconsistent with each other. Moreover, domain theories are seldom complete, which means that a form of so-called plausible reasoning is needed. Finally, as relevant logical theories do not exist for many domains, reasoning may need to rely on imperfect probabilistic theories that have been learned from the web. To overcome these challenges, FLEXILOG will introduce a family of logics for robust reasoning with messy real-world knowledge, based on vector-space representations of natural language terms (i.e. of lexical knowledge). In particular, we will use lexical knowledge to estimate the plausibility of logical models, using conceptual simplicity as a proxy for plausibility (i.e. Occam’s razor). This will enable us to implement various forms of commonsense reasoning, equipping classical logic with the ability to draw plausible conclusions based on regularities that are observed in a knowledge base. We will then generalise our approach to probabilistic logics, and show how we can use the resulting lexically informed probabilistic logics to learn accurate and comprehensive domain theories from the web. This project will enable a robust data-driven approach
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 'Integrative science, Intelligent data platform for Individualized LUNG cancer care with Immunotherapy' (I3LUNG) under Horizon Europe.

assistant: **Objectives**

Immunotherapy (IO) is the new standard of care for many patients with advanced Non-Small Cell Lung Cancer (aNSCLC), yet only around 30-50% of treated patients benefit from IO in the long term. Programmed Death-Ligand 1 (PD-L1) remains the only biomarker used to predict patient outcome to IO, though its efficacy is limited. Other potential biomarkers have been identified, yet not validated in prospective randomized clinical trials, providing only partial evidence. Due to the dynamic complexity of the immune system-tumour microenvironment, its interaction with the host and patient behaviour, it?s unlikely for a single biomarker to accurately predict patient outcome. Artificial Intelligence (AI) and machine learning (ML) frameworks, that synthetize and correlate information from multiple sources, are essential to develop powerful decision-making tools able to deal with this highly complex context and provide individualized predictions to improve patient outcomes reducing the economic burden of health care systems in NSCLC. The aim of the I3LUNG project is to develop such AI-based tools to assist in improving survival and quality of life, preventing undue toxicity, and reducing treatment costs. I3LUNG adopts a two-pronged approach: setting up a transnational platform of available data from 2000 patients in order to validate the AI models, and generating a multi-omics prospective data collection in 200 NSCLC patients integrating diverse -omic information then validate its usefulness in leading IO therapeutic decisions. A psychological study will help in defining the impact of AI-guided decisions on patients, eliciting their preference, and physicians comparing AI with Human Intuition. The final goal is the construction of a novel integrated AI-assisted Data Storage and Elabo
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 Horizon Europe proposal on 'Maximise H2 Enrichment in Direct Reduction Shaft Furnaces'.

assistant: **Concept**

H2-enriched direct reduction (DR) is the key decarbonisation technology for integrated steelworks mentioned in pathways of all major steel producers. Natural gas driven DR is established in industry mostly outside Europe but there are no experiences with high H2 enrichment > 80%. H2 based reduction is no principal issue but endothermic and the influences on morphology, diffusion and effective kinetics are not known. Also properties and movement of particles in the reactor are not know and issues like sticking cannot be excluded. Probably, temperature distribution and flow of solids and gas will be clearly different. No reliable prognosis is possible yet, in particular with regard to local permeability, process stability and product quality of industrial size furnaces with higher loads on the particles and larger local differences. Many activities are initiated for first industrial demonstration of H2-enriched DR but they will not close many of these knowledge gaps. MaxH2DR provides missing knowledge and data of reduction processes. A world-first test rig determines pellet properties at conditions of industrial H2 enriched DR furnaces and a physical demonstrator shows the linked solid and gas flow in shaft furnaces. This will be combined with digitals models including the key technology DEM-CFD to provide a hybrid demonstrator able to investigate scale-up and to optimise DR furnace design and operating point. This sound basis will be used to optimise the process integration into existing process chains. Simulation tools will be combined to a toolkits that covers impacts of product properties on downstream processes as well as impacts on gas and energy cycles.  Thus, promising process chains, sustainable and flexible, will be achieved for different steps along the road to