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 concept and methodology overview for 'Obesity: Biological, socioCultural, and environmental risk Trajectories' under Horizon Europe.

assistant: **Concept**

Obesity in Europe disproportionately affects people and communities with a lower socioeconomic position (SEP). Effective preventive approaches require consideration of the complex and dynamic interplay between (SEP-specific) biological, sociocultural and environmental risk factors of obesity across the life course.   OBCT provides health professionals, researchers, policy makers and the public with knowledge, maps and tools to support sustainable prevention of obesity, with a particular focus on low SEP communities. To achieve this, we quantify the contribution of biological, sociocultural and built environmental risk factors of obesity risks and the interactions in and across various life stages, and translate the resulting knowledge into practical and effective tools for action.    Specifically, OBCT will:  1) Advance the current understanding of obesity risks and predictors, and the role of SEP across the life-course;  2) Determine the importance of specific obesity-related behaviours to prevent obesity at key life stage transitions; 3) Develop a holistic obesity risk screener for use by the public at large and by health professionals; 4) Provide country-specific estimates of trends obesity; 5) Provide a digital atlas on the obesogenicity of environments; 6) Characterise obesity-related cardiometabolic risk profiles over gender, age and SEP;  7) Develop tailored lifestyle recommendations; 8) Determine the impact of obesity-related policies on inequality;  9) Provide a decision support dashboard for policy makers;  10) Provide co-developed toolboxes to support implementation of policy recommendations in low-SEP communities.    OBCT’s outputs highlight where and in which domains obesity is to be targeted, and empower the research community, policymakers, health profess
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 'Systematic analysis of factors controlling meiotic recombination in higher plants' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

Meiotic recombination has underpinned plant breeding for the generation of new traits of agronomic, environmental and economic importance, although we still have little understanding of the controlling mechanisms involved in this process. We will combine approaches in genomics and systems biology to obtain a detailed understanding of the factors that control recombination and will provide a basis for the development of strategies to modify recombination in a variety of crop species.
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 'MITOCHONDRIAL GENOME SEGREGATION VIA THE CYTOSKELETON IN TRYPANOSOMES' (MGSVCT).

assistant: **Concept**

Kinetoplastid flagellates of the Trypanosoma brucei are widely distributed, causing human African trypanosomiasis and animal trypanosomiasis, listed among major tropical diseases by WHO. T. brucei possesses a single flagellum and a single mitochondrion containing kinetoplast (highly constructed mitochondrial DNA and related proteins). Tripartite attachment complex (TAC), a highly organized cytoskeletal structure with timed remodeling, was found to link between the kinetoplast and the flagellum basal body, with an important role in kinetoplast maintenance and segregation. However, only p166 and AEP-1 were uncovered as constituents of TAC, while numerous other components remain to be identified. Our project will focus on investigating the structure and function of TAC. Flagella-TAC-kinetoplast complex will be isolated; the comparative proteome will be used to indentify the components of TAC. In parallel, genes encoding TAC proteins could be acquired by raising monoclonal antibodies from immune mice and screening an expression library. By RNAi screening and dominant negative over-expression of TAC proteins, comparison between wild type strains and those without kinetoplast (akinetoplastic), 3D modeling and interactions in yeast two-hybrid system, we will predict their possible functions, as well as their assembly and propose mechanisms how this complex structure divides. Moreover, phylogenetic analyses, using the Tri-Tryp genomes, will enable to reconstruct evolution of TAC. Results generated in frame of this project will be the first active and systematical attempt to characterize the compositions and function of this unique cytoskeletal structure, and will also be used to evaluate its potential as a drug target against these serious pathogens.
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 'Naturalism in German Classical Philosophy: Nature, Recognition and Freedom in the Hegelian Theory of Social Interaction and Cooperation' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

Hegel's theory of social interaction, recognition and freedom supplies us with a very perspicuous conception of cooperation and social organization by which the individual is understood as freely embedded in an institutionalized context of cooperation and self-identification. Sociality is explained as emerging from natural prerequisites of human beings and as counterpart of nature. The main target of this research is to investigate Hegel's theory of society by considering the relation he establishes with the natural prerequisites of individual human beings. In fact, individual cognitive capacities and shared practices are the outcome of the unfolding of an interpersonal substance called spirit determining the role of the individual in the social space. The notion of spirit is introduced by Hegel as both emerging and different from nature. As the nature of an animal is characterized by its autonomous interaction with the environment, so the nature of a rational being is characterized from a peculiar form of interaction, i.e. the reflexion on its own natural substratum. This speculative attitude is the premise for defining the ideal of freedom, whose achievement is the final end for human beings. This programme aims to investigate the mutual dependence between nature and spirit by updating Hegelian readings and by promoting the interdisciplinary dialogue with other fields of knowledge investigating the human cognitive dispositions. In order to achieve these objectives the ER will undertake an outgoing phase in the US under the supervision of a leading Hegelian. During the fellowship he will be also seconded to the Max Planck institute for Evolutionary Anthropology. This secondment aims to improve the exchange and the dialogue between different disciplines and to enhance t
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 'Beyond Maximum Entropy: A new paradigm for Modeling, Inference, and Learning Efficiency' (BeME).

assistant: **Innovation**

Machine learning is revolutionizing science and society, enabling transformative breakthroughs such as predicting protein structures, simulating many body quantum systems, and redefining entire fields like healthcare, finance, or climate modeling. Yet, this rapid progress comes at a cost: the unprecedented scale and complexity of state-of-the-art models make them resource-intensive, inaccessible, and often opaque. These challenges limit their potential, hindering our ability to understand, optimize, and deploy them responsibly. To unlock the full power of machine learning, we must reimagine its foundations.This project challenges the 'bigger is better' paradigm in machine learning by proposing an alternative: the development of simpler, more efficient generative models that can handle the complexity of the real world while remaining analytically interpretable. Using techniques from statistical physics, disordered systems and computational physics, the project aims to uncover how these models encode patterns, address learning challenges and reduce training costs without sacrificing performance or expressiveness. Crucially, these models will be designed to extract meaningful insights from general-purpose data sets, perform reliably in data-scarce scenarios and accelerate simulations in complex systems.By developing a new generation of inference algorithms and showcasing their effectiveness through three proof-of-concept applications in neuroscience, bioinformatics, and turbulence modeling, this research aims to significantly expand the toolbox for data-driven discovery. Beyond tackling practical challenges, it seeks to advance our fundamental understanding of unsupervised learning mechanisms while prioritizing sustainability, transparency, and inclusivity. This project re
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 'Volcanoes: eruptive style, pre-eruptive evolution and risk' in the context of a Horizon 2020 call.

assistant: **Objectives**

This project will use the compositions and crystal cargoes of erupted magmas to study pre-eruptive behaviour of magmatic systems. The aim is to understand their relationship to, and control on, periodicity and style of volcanic eruptions to mitigate hazards and risks. To do this we will undertake detailed description of the whole-rock composition and mineral chemistry of volcanic rocks from active intra-plate and subduction-related volcanoes. New knowledge about zircon behaviour will then be considered in the context of these well-constrained systems.Experimental and numerical modelling predict pre-existing zircons that survive being dissolved in magmas suffer thermal shock that affects their structure, patchy zoning, and U-Th-Pb isotopic system i.e., ages (1). We shall analyse the texture and composition of inherited, assimilated and magmatic zircons. Study of these natural volcanic zircons will place constraints on experimental and modelling thermal shock results and permit identification of crystals suitable for analysis to obtain reliable age information.Recent detailed field mapping of volcanic deposits on intra-plate Ascension Island, for example, has revealed >75 explosive and >40 effusive sub-aerial eruptions in the last million years. Only a few of these show clear evidence for magma mixing prior to eruption. We will use zircon and whole-rock geochemical data to understand the nature of these and other pre-eruptive processes.Our main objective is to obtain information about magma storage conditions and plumbing systems in relation to effusive and explosive volcanic activity (cf., 2, 3). Such information may be used to consider future behaviour and so possible short-term, within event, and longer term, between events, potential risks.References1. Bea F., Montero
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 'Novel lignocellulose fractionation process for high purity lignin, hemicellulose and cellulose valorisation into added value products' (FRACTION), addressing dissemination and exploitation.

assistant: **Impact**

FRACTION aims to provide a competitive lignocellulosic biorefinery concept flexible to adapt and optimise the production process to a wide range of feedstocks, variable market demand and fluctuating economics while overcoming the lignocellulose separation and purification drawbacks.FRACTION proposes the development and scale up of a novel biorefinery scheme for the processing of lignocellulosic feedstocks based on an organosolv fractionation process using gamma valerolactone as green solvent which will allow operating with high biomass loading, mild operation conditions, eliminating separation steps and offering extra feedstock flexibility in the plant. All of this, achieving an outstanding biomass-to-products yield with high-purity streams of lignin and hemicellulose ready to further valorisation into high added value applications, while still maintaining high-grade cellulose as main product.The project will also develop new downstream conversion technologies for the synthesis and validation of novel building blocks such as furfural, maleic acid, succinic acid, 1,5-PDO, ketoses, alkyl lactates and lignin-derived molecules. The project, which covers all the value chain including end-of-life options, shows a strong industrial involvement which ensures successful post-project exploitation, and engages with other relevant stakeholders such as primary producers.Thanks to the results of FRACTION, the bio-based industry sector will have access to a new flexible pretreatment technology which can be optimised for several types of biomass and be adapted towards certain fractions, thus improving the business case for bio-based products and chemicals biorefineries. In addition, the already proven reduction of separation costs and improved environmental performance, will turn the b
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 'Non-viral gene transfer vectors' will create measurable scientific, societal and economic impact aligned with Fourth Framework.

assistant: **Impact**

The objectives of this project is the design of non-viral gene transfer vectors that are applicable for ex vivo and in vivo gene therapy. For many years, much effort has been devoted towards development of appropriate carriers for delivery of drugs and macromolecules, including nucleic acids (e.g. plasmids) into cells. Progress in somatic gene therapy is strongly influenced by the development of systems for efficient and safe delivery of genetic information into target cells. While several efficient vector systems (viral and non-viral) are available for ex vivo gene therapy, in vivo gene therapy is strongly hampered by the lack of efficient and target-specific vectors. Non-viral gene transfer systems, although not yet reaching the efficiencies of viral vectors, are attractive because they are very flexible regarding the size of DNA to be transported; the entire diversity of chemical reactions and physical interactions under non-physiological conditions may be utilized for their synthesis (in contrast to biological vectors); safety testing is less laborious than testing of biological systems, and they can be produced at large scale with low costs. The application of synthetic vectors to transfect cells is hampered by their relative low efficiency compared to viruses, low reproducibility, cell toxicity, and cell selectivity. Thus, there is an urgent need in fundamental as well as technological knowledge on the following points which are particularly relevant for applications in gene therapy: (i) mechanism of interaction between amphiphiles and cells, (ii) specific targeting of nucleic acid/amphiphile complex, (iii) transfection efficiency of gene delivery, and finally (iv) applications to in vivo models. To reach this objective the project will focus on the following issu
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 'Analytic problems in Coarse Geometry and Geometric Group Theory' (2007-2013).

assistant: **Innovation**

The overall goal of this proposal is a systematic study of C*-algebras related to coarse structures of metric spaces and discrete groups. The background theme is the interplay between analysis and coarse geometry. It addresses questions relating to exactness of discrete groups and spaces, Roe algebras and the Baum--Connes conjectures.The interplay between coarse and analytic properties is exemplified by the first objective: computing the nuclear dimension of Roe algebras in terms of asymptotic dimension of the underlying space. Nuclear dimension of C*-algebras is a recent notion that plays a tremendous role in Elliott's Classification Program of C*-algebras. The motivation for this objective is to systematically study the parallels between C*-algebraic methods of the Classification Program and topological and K-theoretic methods used for Novikov-type conjectures.The second objective is to expand the techniques from Geometric Group Theory to produce a concrete example of a non-exact group. So far the only such examples are shown to exist by probabilistic methods, after an outline by M. Gromov. As non-exactness is highly relevant for (the potential failure of) the Baum-Connes conjecture, having concrete examples to study would be paradigm-shifting. The idea for such a construction is to generalize the small cancellation theory to a coarse setting.The last objective is to prove the Baum-Connes conjecture for certain limits of hyperbolic groups, using the quantitative K-theory of Oyono-Oyono and Yu. Since most of the examples of discrete groups with unusual properties (e.g. non-exact) are constructed as such limits, showing that some of them do satisfy the conjecture is desirable.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Seventh Framework proposal on 'Collective Emotions in Cyberspace'.

assistant: **Innovation**

The main aims of the project are:- to understand the process of collective emotions formation in e-communities as a spontaneous  emergent behaviour occurring at complex techno-social  networks- to create decentralized adaptive tools to amplify positive or suppress negative collective emotions in e-societies and will take into account heterogeneity of interacting humans- to create theoretical background for the development of the next generation emotionally-intelligent ICT services using models of self-organized active agents models, and sociophysics methods.<br/>The project focuses on the role of collective emotions in creating, forming and breaking-up of e-communities. Understanding these phenomena is important in view of the growing role of ICT-mediated social interactions and specific features of e-communities.<br/>The challenge of this interdisciplinary project is to combine both: psychological models of emotional interactions and algorithmic methods for detection and classification of human emotions in the Internet with probabilistic models of complex systems and data driven simulations based on heterogeneous emotionally reacting agents approach. Theoretical foundations will mainly base on statistical physics applied for study of emergent properties of many-object systems interacting in self-organized evolving networks.Empirically, we concentrate on the issue of how to support and maintain emotional climates of security, trust, hope, and freedom in future techno-social communities and how to prevent and resolve conflicts in them. Data on human emotions as well as on  their influence on the structure of sustainable cooperative communities will be received from Blogoshere,  newsgroups and Internet discussion forums and compared to computer simulations based on active
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 'Heterogeneous Aquifer Reactive Transport' to be submitted under Sixth Framework.

assistant: **Abstract**

The question of contaminant transport in heterogeneous geological media has been one of the most debated problems in hydro-geological science over the last decades. So far, the models that have been validated on the field are able to describe the transfer o f non-reacting contaminants in weakly heterogeneous media. However, in most industrial and societal applications, there are not only strong flow heterogeneities but also chemical interactions between solute and rocks. In this context, the objective of my research project is to increase our capacity to model fluid and mass transfer in aquifers, with emphasis on addressing the effect of heterogeneity and chemical reactions. There is currently a gap between contaminant transport theories and their applicability to field problems since field and theoretical approaches are often led separately. Therefore, although experimental observation is not the main focus of the project, the numerical and theoretical approaches used will be defined in interaction with experimental observations.The analysis will begin by using and developing numerical models that integrate the characteristics of natural media: strong flow variability and chemical interactions between solutes and the host rock. Detailed analysis of the key features resulting from heterogeneity and chemical interactions will allow investigating what are the pertinent effective equations that can describe the obtained properties. Comparison between model predictions and experimental data will be used to test mode l applicability. During my fellowship at UPC Barcelona, I expect to find a strong support for the numerical and theoretical developments, which together with my understanding of real systems (Le Borgne et al., 2004, Le Borgne et al., submitted), will enable mean