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: Draft the 'Objectives and Scope' section of a Horizon 2020 proposal for the project 'A Clinical Decision Support system based on Quantitative multimodal brain MRI for personalized treatment in neurological and psychiatric disorders'.

assistant: **Objectives**

A large number of neurological and psychiatric disorders lack objective criteria for primary diagnoses, early differential diagnosis with regard to subtypes in treatment response and disease progression or effective therapy monitoring resulting in a tremendous negative socio-economic impact. Scientific studies based on advanced MRI methods indicate that related patients show specific subtle changes in multiple MRI readouts that are only detectable by quantitative approaches. Existing tools for MRI data analysis are largely insufficient to maximise the use of advanced modality based, diverse and complex MRI data with deficiencies existing mainly in interoperability as well as data organisation, integration, analysis and exploitation in clinical decision making. Hence, the development of a clinical decision support system for neurological and psychiatric disorders is envisioned that is based on multimodal quantitative magnetic resonance imaging, advanced feature extraction and multi-parametric classification. To that the quantitative analysis of structural, functional and metabolic MRI data (11 modalities) shall be fully integrated into a single software framework for the first time; support of large data, interoperability and access for non-expert users shall be enabled and a machine learning based classification module shall be developed. The quantification and feature extraction algorithms for metabolic, perfusion, diffusion and functional imaging shall be enhanced to access the full information content of the data independent of vendor specific scan protocols as required for future use in diagnostics, stratification and monitoring of patients. The envisioned clinical decision support system shall be tested, optimized and demonstrated for major depression and multiple
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 'Study of Neutrino Oscillations at T2K' to be submitted under Seventh Framework.

assistant: **Abstract**

Neutrinos are among the most intriguing, least understood and probably most abundant particles in the Universe. The most exciting discovery of the last decade is that different neutrino types do change their identity as they propagate, suggesting that they are not strictly massless as required by the Standard Model of Particle Physics. Improving our understanding of neutrinos, which is one of the main priorities of the European strategy for particle physics, has the potential to unravel some of the deepest and long-standing issues of particle and astrophysics, such as the origin of matter, the origin of heavy elements, the nature of dark energy, etc. In this project, I aim to exploit data recorded by the T2K experiment in Japan, resulting from the highest intensity muon neutrino beam in the world. T2K will start taking data in 2009 and will run for 10 years, with an upgrade after 5 years. It is an international collaboration of 62 institutions, with European countries undertaking a critical and strategic role in its design and construction. I aim to utilise a new method, which exploits the excellent T2K charged and neutral particle identification, to look for evidence of oscillations of muon into electron neutrinos, which I believe is the most exciting measurement to be made in the near future. A non-zero oscillation value could hint at CP violation in the neutrino sector, which could explain the current matter-antimatter asymmetry in the Universe. In addition, I intend to search for the presence of sterile neutrinos, which are candidates for dark matter in the Universe. I also intend to improve the neutral current pi0 cross-section measurement, which is an important background in neutrino oscillations. The project will conclude with a global model-dependent fit to the
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 'Quantifying signal transduction' (QUASI), addressing dissemination and exploitation.

assistant: **Impact**

The present understanding of cellular signal transduction is restricted, at the best, to the wiring schemes of signalling pathways. Little is known about the details of their dynamic operation and the importance of quantitative, spatial and time-dependent parameters for signalling output. Those are, however, crucially important for drug discovery and application. QUASI is a multidisciplinary project with the goal to obtain a coherent and detailed picture of the dynamic operation of a model signalling transduction network. The signalling pathways contain the evolutionary conserved MAP kinase cascade module, which is of central importance for signalling in human cells and implicated in human diseases such as cancer and inflammatory disorders. MAP kinase pathways are currently being explored as drug targets. A better understanding of the dynamic operation of these pathways offers new opportunities for drug discovery and for efficient individualised treatment based on the genetic setup of the patient (pharmacogenomics). To achieve the goals of QUASI, quantitative data of high definition on signal transduction activation and deactivation will be obtained using frontline experimental approaches encompassing global gene expression, proteomics, bioimaging and chemical genetics. A software-implemented mathematical model of signalling dynamics will be constructed from pre-existing data and data generated within the consortium. Predictions from the model will be used as a basis for experimentation to further enhance the model, in a recursive manner. An interactive dynamic visual interface will be constructed to allow the experimenter to explore the effects of virtual manipulations of the system. This tool will enhance the intuitive understanding of intracellular signalling and thi
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 how 'On the Degradability of Protein Aggregates by Autophagy' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

The removal of misfolded and aggregated proteins is essential for cellular homeostasis and organismal health. The accumulation of protein aggregates is associated with several devastating neurodegenerative diseases including Alzheimer’s disease. It has been generally assumed that autophagy has the ability to degrade large aggregates, and considerable efforts are underway to harness this pathway to remove disease-associated aggregates for therapy. However, it is becoming clear that large, solid protein aggregates are poor substrates for autophagy. This is a fundamental conundrum in the basic biology of autophagy, and has posed a serious practical obstacle to these therapeutic efforts.We have obtained data showing that unlike dynamic, liquid-like autophagy targets, rigid solid aggregates can lock the autophagy machinery into non-productive states. Our data also suggest that there are mechanisms whereby these ""stuck"" states can be avoided or reversed. Thus, the autophagy machinery may contain inherent error correction mechanisms, preventing these states. We will seek such mechanisms and characterize them in enough mechanistic detail to make them actionable therapeutically. Enhancing such mechanisms could enable the clearance of aggregates in aging and the most intractable aging-associated diseases. DegrAbility will unite complimentary expertise in cellular engineering, in vitro reconstitution and cutting-edge cryo-EM to identify the requirements for cargo to be effectively degraded by autophagy. The project will pinpoint the vulnerabilities of the autophagy machinery and explore ways to address them. We will explore how the dynamic nature of cellular assemblies, like phase-separated condensates, allows for productive machinery assembly, offering new insights into selecti
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 'Optoelectronic of narrow band gap nanocrystals' under Horizon 2020.

assistant: **Concept**

Over the past decades, silicon became the most used material for electronic, however its indirect band gap limits its use for optics and optoelectronics. As a result alternatives semiconductor such as III-V and II-VI materials are used to address a broad range of complementary application such as LED, laser diode and photodiode. However in the infrared (IR), the material challenge becomes far more complex.New IR applications, such as flame detection or night car driving assistance are emerging and request low cost detectors. Current technologies, based on epitaxially grown semiconductors are unlikely to bring a cost disruption and organic electronics, often viewed as the alternative to silicon based materials is ineffective in the mid-IR. The blackQD project aims at transforming colloidal quantum dots (CQD) into the next generation of active material for IR detection. CQD are attracting a high interest because of their size tunable optical features and next challenges is their integration in optoelectronic devices and in particular for IR features. The project requires a combination of material knowledge, with clean room nanofabrication and IR photoconduction which is unique in Europe. I organize blackQD in three mains parts. The first part relates to the growth of mercury chalcogenides nanocrystals with unique tunable properties in the mid and far-IR. To design devices with enhanced properties, more needs to be known on the electronic structure of these nanomaterials. In part II, I propose to develop original methods to probe static and dynamic aspects of the electronic structure. Finally the main task of the project relates to the design of a new generation of transistors and IR detectors. I propose several geometries of demonstrator which for the first time integrate
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 'HeisenData - Towards a Next-Generation Uncertain-Data Management System' under Seventh Framework.

assistant: **Concept**

Several real-world applications need to manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications must constantly reason about volumes of noisy sensory readings, e.g., for motion prediction and human behavior modeling; information-extraction tools can assign different possible labels with varying degrees of confidence to segments of text, due to the uncertainties and noise present in free-text data. Such probabilistic data analyses require sophisticated machine-learning tools that can effectively model the complex correlation patterns present in real-life data. Unfortunately, to date, approaches to Probabilistic Database Systems (PDBSs) have relied on somewhat simplistic models of uncertainty that can be easily mapped onto existing relational architectures: Probabilities are typically associated with individual data tuples, with little or no support for capturing data correlations. This research proposal aims to design and build a novel, extensible PDBS that supports a broad class of statistical models and probabilistic-reasoning tools as first-class system objects, alongside a traditional relational-table store. Our proposed architecture will employ statistical models to effectively encode data-correlation patterns, and promote probabilistic inference as part of the standard database operator repertoire to support efficient and sound query processing. This tight coupling of relational databases and statistical models represents a major departure from conventional database systems, and many of the core system components need to be revisited and fundamentally re-thought. The proposed research will attack several of the key challenges arising in this novel PDBS paradigm (including, query processing, query o
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 'Collaborative evaLuation Of border Surveillance technologies in maritime Environment bY pre-operational validation of innovativE solutions' to be submitted under Seventh Framework.

assistant: **Abstract**

CLOSEYE comes to life with the aim of providing the EU with an operational and technical framework that would increase situational awareness and improve the reaction capability of authorities surveying the external borders of the EU. This initiative also comes in response to an urgent sudden major challenge for the control of the migratory pressure from the North African coast and to a limited market providing innovative solutions for the accomplishment of major operational objectives.CLOSEYE articulates this POV through three phases encompassing the necessary activities to:•identify the problem and the alternatives•demonstrate that there are existing innovative solutions which provide the required additional capabilities•to assess the performance levels of these solutions•and to evaluate the experimentation results and promote their extensibility to future solutions.The CLOSEYE consortium has assembled the most representative public authorities in charge of the surveillance of the southern EU maritime border, ensuring not only a remarkable expertise at technical and operational level, but also a privileged positioning with respect to the main hot spots for maritime irregular cross-border activities and ensuring access to the existing surveillance systems and assets to support the validation process.The second pillar of the project will be the security industry, which will be called to demonstrate the efficiency and effectiveness of specific solutions in order to fulfill real user demands. The assessment of the performance levels of the solutions proposed by the industry will be conducted through a series of exercises, both technical and operational, in at least two different scenarios.By promoting this competitive testing and assessment of the potential solutions, CLOS
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 'GLOBALIZATION, INSTITUTIONAL REFORM, ANDCHINA’S INNOVATION CHALLENGES' (CHINAINNOVATION).

assistant: **Concept**

University of Nottingham proposes to host Dr. Yutao Sun of Dalian University of Technology for a Marie Curie International Incoming Fellowship.As one of the most promising Chinese scholars in the study of innovation, Dr. Sun will bring with him extensive research experience, project management capability, and especially expertise in the quantitative study of innovation, and apple the knowledge to the study of China’s innovation challenges under globalization and reform of China’s S&T system. He will work with Dr. Cong Cao, the scientist in charge who has recognized skills in macro-level innovation policy analysis and synthesis, to chart China’s innovation trajectory. The combination of the expertise will enable a first-class project that will enhance Nottingham’s research capacity in the study of China’s S&T enterprise and innovation policy, which in turn will help to advance Europe’s understanding of the rise of China as a technological power.The project will be of considerate interest to academics, policy-makers, and the business community in Europe. It will produce academic papers on globalization, innovation, and China’s national capability; position and role of China in the global innovation network; and China’s innovation trajectory for publication in leading international journals, which also will lead to a book. It will generate policy papers and briefs to be circulated in the European scholarly and policy communities. It also will provide recommendations to the Commission on EU’s future S&T cooperation with China, as such activities have been on the rise, and advise the EU–China Business Summit on the innovation-related issues that seem to be taking up an increasingly significant position.While at Nottingham, Dr. Sun will be exposed to advanced research in soci
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 the 'Objectives and Scope' section of a Horizon 2020 proposal for the project 'LINGOKIDS: Adaptive mobile platform for language learning for early age children'.

assistant: **Objectives**

Because of the globalisation, language learning and bilingualism has been introduced in education from the earliest years of schooling. Recent studies show that the best age for a person to learn a second language is 2 to 6 years. Monkimun, aware of this need, is developing an ecosystem of educational game-based Apps that are based on a rigorous scientific research on the psychopedagogy of the learning process in early childhood, together with Universities and research centres.The propose LINGOKIDS project seeks to become the reference mobile platform available in the market for adaptive language learning, focus on early age children, based on multiple intelligences theory, Big Data techniques, Artificial Intelligence (AI) algorithms, and following a game-based learning methodology. The platform will be able to identify the children's learning pace during play and automatically adapt educational content for a customized learning. In addition to this, LINGOKIDS platform will provide parents and educators with tracking tools and periodic reports, and a user interface framework to co-design tailor-made lessons upon this intelligence.The envisage LINGOKIDS platform will provide parents and educators with the most innovative solution available in the market to empower early age children with a funny and motivating tool to start learning a foreign language without supervision (but monitored) in a highly customized way, attending at children learning evolution and preferences on the type of lessons (games).The global market of educational apps for children between 2 and 6 years represents 9.5% of the total market for mobile active applications, which means more than 114 million mobile apps. This market is expected to grow from $1,500 million in 2012 to $2,300 million in 2017.
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 'Studies on the alimentary pathogensis of bse agent and natural scrapie in sheep and mice. implications for diagnosis and control.' goes beyond current state-of-the-art under Fifth Framework.

assistant: **Innovation**

This project will study the early pathogenesis of scrape and bovine spongiform encephalopathy (BSE) in sheep and mice, with emphasis on the uptake and accumulation of the prison protein (Prep) and infectivity in the gut-associated and peripheral lymphoid tissues and its relevance to neuroinvasion. The transport of Prep across the mucus of the gut and the interaction of disease-associated Prep with leukocytes, FRCS and nerves will be studied in novel systems such as isolated intestinal loops, surgical micro-infection, B-cell depleted sheep and transgenic mice over expressing ovine Prep. The consequences of accumulation of Prim lymphoid tissues for neuroinvasion and the development of a carrier state will be assessed. A better understanding of the early pathogenesis of scrape and BSE in sheep will contribute the detection of the pre-clinical disease and in developing future control and eradication strategies.