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 the 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'Musicians in the “Republic of Letters”: For a Social Network Analysis of Giambattista Martini’s Correspondence'.

assistant: **Innovation**

Handwritten correspondence was a vital means of communication during the 18th Century. Through their letters, people kept in touch with family and friends, exchanged information, sought patronage, and did business. Musicians’ correspondence bears witness to every aspects of musical life, as well as to socio-economic issues related to music production and consumption. The overarching-project objective is to create a representation of 18th-century European musical environment through the reconstruction and analysis of the correspondence and epistolary network that Franciscan friar Giambattista Martini (1706-1784) entertained with musicians, music lovers, scholars and editors, men and women, from across Italy and from Europe’s most important courts and musical centers. Until now, research has been restricted only to the 6,000 letters received from some 970 correspondents collected in Martini's library. No serious attempt has been carried out to gather the huge number of letters that he sent to his correspondents, hosted in many libraries, archives and private collections on a global scale. Moreover, the methodologies followed have reduced epistolary content to a static dataset, not considering that it is the output of dynamic social network, requiring a philological, historical, and sociological approach within the epistemological framework provided by digital humanities. The research will focus on an extensive archival investigation on a global scale and a detailed indexation to identify the key themes of the correspondence. Finally, specific topics of the correspondence will be categorised applying the Social Network Analysis tools. Under the supervision of internationally renowned specialists of modern history of music and culture, the MSCA-GF will be implemented by a f
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 'Political economy of income redistribution and incentives - the role of information' (1994-1998), addressing dissemination and exploitation.

assistant: **Impact**

Research objectives and content The aim of this work will be that of studying the redistributive effects of public policies and especially the extent of income redistribution as a social decision. The analysis will be mainly theoretical but formal econometric tests of theoretical models will be carried out. From a theoretical point of view the role of uncertainty about the consequences of different fiscal platforms will be particularly stressed. Agents will be considered in a stochastic environment in which they play a game both on market and political institutions. Of course different visions on the consequences of policies are rationalizable. The traditional median voter result may be reconsidered in this framework. From this positive theoretical analysis it should be possible to derive some testable propositions in order to carry out empirical tests. A quite promising possibility seems to be the use of microdata from large surveys, that would enable us to carry out a proper redistributive analysis. Some possibilities are the Families' Expenditure Survey for U.K. or the Families' Budget Survey of Banca d'ltalia, for Italy. Even if this kind of data have been largely employed to study the redistributive impact of fiscal reforms, I don't think they have been used for testing models of political economy. From this empirical analysis I hope to have also useful insights on the distribution of some kind of taxes and benefits across the population. A short normative analysis will also be carried out at the end. Training content (objective, benefit and expected impact) The training at LSE will be of fundamental importance. The research will require a very good knowledge of game theory and in particular of the literature on imperfect information. Other mathematical methods con
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 Fifth Framework proposal for the project 'Gene vectors euronet'.

assistant: **Objectives**

Despite the increasing number of gene transfer experiments and the huge quantity of gene therapy tools (vectors, plasmids, cell lines) the know-how of this technology needs to be improved. Therefore, co-ordinated efforts need to be performed throughout European concerned laboratories in research, development and training on vectors technology. In this context, a network of vector production and development (Gene Vector Production Network, GVPN) and the European Gene vector Database and Repository (EGDR) have been developed to help gene transfer experiments by providing scientific and technical assistance, including the production and dissemination of any kind of gene therapy reagents tools.The proposal involves two sequential events with the following objectives: a) The Gene Vectors EuroNet conference is expected to gather about 300 scientists (mostly from academic institutions) who have used or are using materials (vectors, plasmids, cells) produced by the GVPN, and all participants (including private institutions) involved in gene therapy. The conference will allow to (i) evaluate the scientific and technological relevance of the network activity, and (ii) perform a first centralisation of data from European gene transfer experiments carried out with such vectors. b) The Gene Vectors EuroNet LabCourse will train European young scientists of excellence selected among academic and industrial institutions. Lectures in the basic biological mechanisms of gene vectors will be combined with lab training on the basic procedures of production, purification and quality characterisation. This with the aim that trained scientists will be able to carry out vector preparation and characterisation in their respective host institutions, and to compare their data with those obtained
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 impact statement for 'Wrinkle-mediated Catalysis of 2D Materials', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

The global climate and energy crisis demands decisive actions to implement sustainable energy production and utilization processes. Catalysis has demonstrated its importance down this route by enabling the transformation of abundant recyclable resources such as water and CO2 into widely utilized fuels and chemical feedstock. Customizing catalysts to improve the performance of these processes is one of the main pursuits of catalytic chemistry. A class of materials with atomically thin constituents, labelled 2D materials (2DM), exhibit widely tunable properties of interest for catalytic applications. On top of their high surface area, extraordinary mechanical properties, and great conductivity (thermal and electrical), they allow a precise control over their electronic properties beyond conventional metals and semiconductors. The tunable electronic properties of 2DM can be exploited to a great extent in order to tailor catalytic performance. In particular, it has been shown that perturbations such as dislocations, vacancies, edges, impurities and functional groups, readily modify the density of states in graphene and promote its catalytic properties. Although, mastering and translating these properties into catalytic specific applications is not an easy task. The present project will venture into the often overlooked and challenging front of nanoscale engineering of 2DM for catalysis. WILDCAT will employ morphological alterations in 2DM, such as wrinkles, for the facilitation of catalytic applications. By precisely engineering the geometry of these deformations, we can reversibly tune selectivity and susceptibility of chemical reactions, without inducing any structural defects. The catalytic responses will be assessed with advanced in-situ nanoscale characterization tools
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 'Water resources management under drought conditions: criteria and tools for conjunctive use of conventional and marginal waters in mediterranean regions' (WAM-ME) under Fifth Framework.

assistant: **Objectives**

Providing water supplies exploiting marginal water sources reduces the necessity of new water reservoirs, minimizes environmental impacts and can be fundamental for a sustainable development of Mediterranean regions, including semi-arid European, North African, and Near East countries. Seven partners from six Mediterranean countries will participate to the proposed project, which aims at improving water resources management and environmental control in drought-prone Mediterranean regions. The criteria for an efficient use of marginal water resources, including the reuse of treated waste water for irrigation and the withdrawal of deep groundwater will be defined. Modelling tools and a Decision Support System (DSS) for the conjunctive use of conventional and marginal waters will be developed. These criteria and tools could support the choice of the preferable mix of long-term and short-term measures to face droughts.
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 'Understanding substrate delivery for cell wall biosynthesis in plants' (NSTree) under Horizon 2020.

assistant: **Objectives**

Plant cell walls are essential for plant growth and provide us with food, clothing, shelter, and renewable energy. Nevertheless, key aspects of cell wall structure and the molecular players involved in its biosynthesis remain poorly understood. In particular, about the mechanisms that underpin the formation of secondary walls, which constitute the bulk of biomass in plant cells, little is known. To narrow this gap in our knowledge this project attempts to characterise and manipulate transporters essential for the delivery of the building blocks required for the biosynthesis of cell walls and their precursors in tree species. Furthermore, recent studies in the model plant Arabidopsis revealed that the transport mechanisms required for polysaccharide biosynthesis are regulated and controlled by as yet unknown mechanisms. To uncover these mechanisms and new components that are required to make the plant cell wall, I will combine bioinformatics, biochemistry, molecular genetics, immunochemistry and quantitative cutting-edge microscopy and investigate the model plant species Arabidopsis, poplar and Norway spruce. Thereby this research will contribute to our fundamental understanding of plant biomass production, leverage translational opportunities and develop knowledge that can be used to exploit these processes in woody species. The project supports exciting fundamental research and research training, aims at reintegrating an experienced researcher in Europe, and has clear potential for improved human health via climate change mitigation, enhanced plant biomass production and improved fuel security.


**Keywords:** cell wall, Golgi apparatus, nucleotide sugar transport, protein complex formation
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 'WeatherGenerator' under Horizon Europe.

assistant: **Concept**

This project will build the WeatherGenerator – the world’s best generative Foundation Model of the Earth system – that will serve as a new Digital Twin for Destination Earth. The WeatherGenerator will be based on representation learning and create a general and versatile tool that models the dynamics of the Earth system based on a large variety of Earth system data. The WeatherGenerator will be task-independent and will improve results for a wide range of machine learning applications when compared to task specific machine learning tools. It will also be more resilient for climate applications when the underlying data distributions are changing, and it will lead to a significant reduction in computational costs and faster turnaround times. To achieve this, we will: (1) Collect and use the most important datasets of Earth system science including data from Digital Twins of Destination Earth, selected observations, analysis and reanalysis datasets, and output of conventional Earth system models. (2) Build the WeatherGenerator as a novel representation learning-based machine learning tool that exploits the full potential of Europe’s largest supercomputers. (3) Engage with the wider community via services and apply the WeatherGenerator for 22 selected applications that can be integrated into the Destination Earth framework. The applications include global and local predictions, local downscaling, data assimilation, model post-processing, and impact applications in the domains of renewable energy, water, health and food. The project consortium that will build the WeatherGenerator consists of experts in machine learning, supercomputing and Earth system sciences, and includes industry, SMEs, and leading operational weather centers. The WeatherGenerator will lead to key innovat
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 'Toward a new understanding of learning in the brain: dynamic parallel circuit loops for complex learning' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

The brain’s ability to learn is arguably its most exceptional capacity. Learning in biological brains far surpasses machine learning and requires much less training. How does the brain accomplish this? Why is biological learning still better than the most advanced machine learning algorithms to date? According to the standard model of reward-based learning in the brain, a single error signal is broadcast from the dopamine system and used to update the entire network, implementing a simple form of reinforcement learning. However, the standard model fails to predict several recent experimental findings, leaving open the question of how learning is implemented in the brain. In this project, I propose a new theory of how the brain learns: learning is implemented by multiple dopamine-based learning systems working in parallel circuit loops. These loops relay partial error signals to specific processing areas and permit independent evaluation of the value of different features in the external environment as well as the internal state, enabling learning of complex tasks with multiple relevant features. The loops are engaged dynamically according to the demands of the task, enabling the system to be flexible for learning a wide variety of behaviours of varying complexity. The presence of multiple dynamic parallel learning loops might enable the ability to generalize learning, which is currently the hallmark of biological intelligence. We will use state-of-the art techniques under the framework of our theory to elucidate basic mechanisms underlying the functional circuitry of the learning system (Aim 1), how it operates under different behavioural dynamics (Aim 2), and what algorithm it implements (Aim 3). Success of this project will enable a novel understanding of how the brai
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 'Bergen research and training program for future AI leaders across the disciplines' (2021-2027) under Horizon Europe.

assistant: **Objectives**

LEAD AI at UiB will provide an exceptional inter- and multidisciplinary research and training programme for 19 experienced researchers (ERs) who are versed in or curious about AI. The recruitment process will be inclusive, transparent and merit-based, and aims to attract excellent researchers locally and internationally. The researchers will be employed in postdoctoral positions for 3-4 years for both incoming and outgoing mobility. In LEAD AI, UiB will exploit its unique cross-disciplinary strengths in AI research, providing ERs in fields as diverse as computer science, medicine, law, psychology, information science and the humanities with both disciplinary expertise and the broader knowledge of AI research that is needed to develop trustworthy and ethical AI that benefits society. The program will promote institutional transformation and pioneering research on AI subjects, while providing exceptional AI research and training opportunities, personal supervision and mentoring for postdoctoral researchers, structured skill-based training, and high-quality working conditions. The program will equip the next generation of research and society leaders with AI knowledge and skills to collaborate across disciplines, sectors and borders, while offering academic freedom, equal opportunities, and a well-connected regional AI ecosystem.
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 Sixth Framework proposal on 'Advanced decentralised energy generation systems in Western Balkans'.

assistant: **Innovation**

The overall objective of the work is to formulate promising solutions for decentralised systems in the area of Western Balkans based on the utilisation of renewable energy sources and hybrid systems. Aiming to contribute to sustainable development differen t technological concept including biomass combustion and gasification, wind, solar and hydropower will be examined in parallel with the local capacity and particularities. Alteration of existing technologies in order to achieve increased efficiency and rel iability of stand-alone power supply in selected isolated regions will be investigated. The technical, operational, economic and environmental characteristics of renewable energy systems will be examined and hybrid systems will be formulated for the optimi sed grid performance with the optimum utilisation of local energy sources. Proposals for type of technology and units' size will be formed. The specific needs of the existing and the future regional energy demand side will be taken into account. For the ad vanced utilisation of renewable sources the alteration of existing technological solution with the production of Hydrogen will be investigated and the opportunities of the introduction of novel technologies such as Fuel cells in decentralised energy grids will be assessed. The work to be carried out will result into the formulation of Specifications for the optimisation of Grid penetration in Bosnia-Herzegovina, Croatia and the Federal Republic of Yugoslavia in conjunction with the determination of specific low cost power production schemes for decentralised areas in these 3 WE countries.'
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 'Tuning of flow profiles in wall-less tube devices' (FlowTune).

assistant: **Innovation**

Flow reactors are vital in the modern chemical industry, and their importance is growing more and more as high-value sectors such as pharmaceuticals and fine chemicals shift toward processes with smaller ecological footprints. Flow systems are perfect candidates to replace batch processes since they offer significant advantages, including enhanced control over critical reaction parameters such as temperature, mixing, and residence time. This feature leads to improved yields, product quality, and production costs and even enables the possibility to perform chemical reactions that are difficult or impossible to carry out in batch mode. Despite their advantages, current flow reactors also face challenges. In laminar flow regimes, the parabolic velocity profile leads to broad residence time distributions (RTD), which reduce selectivity and yield. While turbulent flow can achieve near plug-flow behaviour with narrower RTD, its operation requires high operational costs, and its applicability is limited in case of slow reactions, which require long residence times. The project ""Tuning of flow profiles in wall-less tube devices (FlowTune)"" aims to tune flow profiles by further developing the host's advanced liquid tube technology. Our goal is to overcome the limitations set by the current technology and engineer a flow reactor in which the RTDs can be tailored arbitrarily, even in real time. Such a device can serve as a valuable improvement in the production of fine chemicals and allows even more processes to be transitioned to flow systems.""


**Keywords:** Residence time distribution, flow chemistry, computation fluid dynamics