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 a project proposal abstract for 'Detection of Brain Abnormality' to be submitted under Seventh Framework.

assistant: **Abstract**

Cerebrovascular disease (CVD) is a very significant health problem, especially in view of the increasing aging population. It is highly prevalent in diabetic populations and is also a major cause of dementia, individually or as an additive factor to other pathologies, such as Alzheimer’s. Therefore measuring disease burden, progression, and response to treatments is very important for patient management. MRI is currently the most widely used way to characterize in vivo the type and extent of brain lesions in CVD and has been used in several large neuroimaging studies. However, characterization of CVD has largely relied on qualitative, subjective, and not easily reproducible methods of human expert-based interpretation. Computer-based methods for measuring CVD offer great potential, since they are quantitative; reproducible, and particularly suitable for longitudinal studies monitoring disease progression and response to candidate treatments. Most methods have focused on the segmentation of Multiple Sclerosis lesions, whereas less attention has been given to brain lesion segmentation in elderly individuals and Alzheimer’s disease or diabetic patients. The project DeBrA (Detection of Brain Abnormality) includes the development and implementation of medical imaging techniques for measuring CVD and its change over time, from multi-parametric MR images by employing advanced 4-dimensional (space X time) segmentation methods based on pattern classification and statistical modeling. The goal is to determine whether the new methodology will provide more stable measurements of longitudinal change in CVD, compared to relatively more conventional methods and therefore increase the sensitivity of detecting subtle effects. Moreover, while the tools will be initially developed for mea
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 'Geometric quantization of field theories' in the context of a Sixth Framework call.

assistant: **Objectives**

Quantum field theories are the basis of most of modern theoretical physics, but they are not well understood mathematically. Although algebraic quantum field theory provides a framework for describing quantum field theories mathematically, there has been little success at constructing specific models, particularly of gauge theories.On the other hand, the relationship between classical and quantum mechanics has been abstracted and studied in terms of deformation quantization, and the construction of quantum mechanics has been systematized as geometric quantization, and Berezin-Toeplitz quantization. The objective of the proposed project is to take the first steps toward a similar systematic construction for quantum field theories.Such a construction would be a powerful tool for understanding quantum field theory. Unfortunately, the phase space (space of solutions) of a classical field theory is infinite-dimensional. I propose that this obstacle may be overcome by treating the phase space through the multisymplectic formulation, which uses the finite-dimensional differential geometry of space-time.By carrying out the first steps of this program at the host institution, I hope to gain the necessary skill and experience to complete the program and eventually formulate and apply the desired quantization construction.
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 'Modeling the acquisition of phonotactics'.

assistant: **Concept**

Children learn their target language early, fast and efficiently. For instance, nine-month-old infants already display knowledge of the phonotactics of their target language, namely have been shown to react differently to licit versus illicit sound combinations. Children must thus rely on a remarkably efficient phonotactic learning procedure. What does it look like? According to the error-driven learning model, the learner maintains a current hypothesis of the target adult phonotactics and keeps slightly updating its current hypothesis whenever it makes a mistake on the incoming stream of data from the adult language, until it makes no more mistakes. This learning model is very popular in the current acquisition literature because of its cognitive plausibility: it models the observed acquisition gradualness, as it describes a stepwise progression towards the target adult grammar; it relies on surface phonology, without requiring any knowledge of morphology (that plausibly develops later than phonotactics); and it does not impose unrealistic memory requirements, as it only looks at a piece of data at the time without keeping track of previously seen data. Yet, computational phonology has failed so far to develop a computationally sound implementation of the error-driven learning model. This project aims at filling this gap. Two complementary directions are pursued. An analytical direction geared towards learnability uses tools from Machine Learning to investigate the computational efficiency of the error-driven learning model, focusing on issues such as convergence, correctness, error bounds, and robustness. This analytical strategy is complemented by large scale simulations, that test the model on a large database of infant-directed speech and child acquisition data. Co
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 'On intelligenCE And Networks' (OCEAN).

assistant: **Innovation**

Until recently, most of the major advances in machine learning and decision making have focused on a centralized paradigm in which data are aggregated at a central location to train models and/or decide on actions. This paradigm faces serious flaws in many real-world cases. In particular, centralized learning risks exposing user privacy, makes inefficient use of communication resources, creates data processing bottlenecks, and may lead to concentration of economic and political power. It thus appears most timely to develop the theory and practice of a new form of machine learning that targets heterogeneous, massively decentralized networks, involving self-interested agents who expect to receive value (or rewards, incentive) for their participation in data exchanges.OCEAN will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent's level. OCEAN will study the interaction of learning with market constraints (scarcity, fairness), connecting adaptive microeconomics and market-aware machine learning.OCEAN builds on a decade of joint advances in stochastic optimization, probabilistic machine learning, statistical inference, Bayesian assessment of uncertainty, computation, game theory, and information science, with PIs having complementary and internationally recognized skills in these domains. OCEAN will shed new light on the value and handling of data in a competitive, potentially antagonistic multi-agent environment, and develop new theories and methods to address these pressing challenges. OCEAN requires a fundamental departure from standard approaches and leads to major scientific interdisciplinary endeavors that will transform statistical learn
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 'The astro-f all sky infra-red survey' in the context of a Fifth Framework call.

assistant: **Objectives**

Assisting the Japanese ASTRO-Finfra-red space telescope mission by working with the Japanese to produce galaxy evolution models that will be used to plan the observing strategy of the sky survey. Producing galaxy simulations and predictions that will enable the efficient screening of the detected sources
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 'Commoditizing Data Analytics in the Cloud' (CODAC).

assistant: **Innovation**

The goal of this project is to commoditize large-scale data analytics in the cloud, which means (a) to reduce query processing cost to close to what the available hardware is theoretically capable of and (b) to prevent vendor lock-in by making it easy to move data between different clouds and systems. To achieve this, we will design and develop an open and cost-efficient analytical database system for the cloud called CODAC.The CODAC system consists of three main components: First, an intelligent control component that automatically and transparently selects and manages the cheapest hardware instances for the given workload and makes migration to other (e.g., European) cloud vendors possible. Second, a highly-efficient and scalable query processing engine that is capable of fully exploiting modern cloud hardware. Third, a data lake storage abstraction based on open data formats that enables cheap storage as well as modularity and interoperability across different data systems. The resulting system therefore has the potential for making large-scale data analytics both cheaper and easier, boosting data-driven instruct and science.


**Keywords:** cloud, cost efficiency, data analytics, query processing, data management
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Fourth Framework proposal on 'Identification of rabaptin-5 interacting proteins and their role in vesicle targeting and fusion'.

assistant: **Innovation**

Rab proteins are small GTPases that regulate different exocytic and endocytic transport processes. Rab5 is involved in endocytosis and fusion between early endosomes and functions by recruiting its effector, rabaptin-5, from cytosol to early endosomes in a GTP-dependent manner. The function of rabaptin-5, however, is unknown. The aim of this proposal is to study the role of rabaptin-5. Preliminary experiments indicate that rabaptin-5 belongs to a multiprotein complex. To identify the molecules interacting with rabaptin-5 and study their function, the complex will be isolated by chromatographic techniques and its constituents molecularly cloned. The assembly of the complex will be investigated biochemically and its functional role will be studied both in vitro in a cell-free early endosome fusion assay as well as in vivo in transfected cells. The two-hybrid system will also be used as an alternative approach to identify rabaptin-5 interacting partners. Our findings will help elucidating the molecular principles underlying the docking and fusion process in membrane transport.
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 'Vesicular clc ci channels: their specific functional roles and possible heterooligomerisation' to be submitted under Fifth Framework.

assistant: **Abstract**

The present project proposal aims at understanding of the specific contribution of CLC chloride channel isoforms to vesicular function and/or trafficking. We will investigate in detail the respective sub cellular distribution of each of the five intracellular CLCs, and the possible formation of heterooligomers between these different vesicular channels.
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 'An investigation of host and donor DC modulation in GVHD throught the use of comparative in vitro (human) and in vivo (chimeric human/murine) models'.

assistant: **Innovation**

Allogeneic stem cell transplantation (SCT) still remains the only cure for a variety of malignant, non-malignant haematological diseases and disorders of the immune system. The success of SCT is limitedby post transplant related complications; including li fe threatening infections, relapse of malignantdisease and most notably graft versus host disease (GVHD). It is estimated that between 25-60% sufferfrom GVHD in either its acute or chronic form. Research has implicated the antigen presenting cells(APCs) of the immune system as the initiators of GVHD. Current data suggests that the origin (fromeither patient of donor) of these cells is important. The identification of novel antibodies to APCs anddendritic cells (DC) in particular provide new tools to further the investigation of DC in theimmunobiology of GVHD, and as a consequence a possible role for these novel antibodies for targetedGVHD immunotherapy. Current immunosuppressive prophylaxis is split between traditional drugssuch as cyclosporine and methotrex ate and immunotherapeutics such as antibodies directed againstcertain cell populations. Campath - a CD52 monoclonal antibody has been shown to not only deplete Tcell but also blood DC. T cell depletion is the treatment option for patients with high risk of GVHD,however the disadvantage of such as agent is increased susceptibility to infections and disease relapse.This research aims to use these novel antibodies to further unlock the exact role of host (patient) anddonor DC in GVHD immunobiology. At the same time these antibodies will be compared with acurrent antibody (Campath) in the modulation of GVHD through the use of a human in vitro model ofGVHD and two in vivo chimeric human/murine models of GVHD. This will also provide importantdata for the compariso n of
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 'A multiscale Machine Learning based Software for the Simulation of Catalytic Processes' demonstrating excellence, impact and implementation quality for a Horizon Europe call.

assistant: **Abstract**

The reduction of the environmental footprint of the chemical and related industries is nowadays of utmost importance. The transition towards more sustainable processes that combine efficient use of raw material and energy with higher transformation rates, better selectivity and higher mass and energy efficiency will contribute to meet the objectives of the green deal. In this respect, catalysis engineering is pivotal to developing technologies able to meet these goals and to shape the sustainable economy of the future. The accurate description of this multiscale process has a substantial impact on the performances of the entire chemical process and, consequently, on many manufacturing sectors. The description of the catalytic process requires a detailed and accurate definition of the intrinsic reactivity, by means of first-principles kinetic schemes, coupled with rigorous models at the reactor scale. Currently, this approach is hindered by the limited available computational resources which prevent the adoption of detailed and atom-resolved kinetic models into reactor simulations with a reasonable computational burden. To overcome the limitations identified above, starting from the results obtained during the ERC Stg “SHAPE” (n. 677423), we propose MultiCAT, a highly accurate yet computationally lean multi-scale physics-guided machine learning-based surrogate modelling framework of the entire reactor from the atomistic to the process scales. This represents a leapfrog improvement in the detailed numerical modeling of catalytic processes, by achieving a drastic reduction in the computational cost with a concomitant boost in the prediction reliability, and  paving the way for a new generation of catalytic process models, an evolution of hybrid digital twins, for online pr
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 'Post-Soviet Tensions: A Training Programme in Post-Soviet Affairs for Early Career Researchers' (Tensions) targeting Seventh Framework.

assistant: **Abstract**

This project will provide a world class PhD training programme based on a network of dissertation topics and more experienced researcher interactions all focused on post-Soviet affairs, and in particular post-Soviet tensions. Tensions here is understood as both tangible tensions (conflicts, war, riots) and less tangible (or latent) ones (such as social tensions that have not as yet been manifest in a violent form). The project will support the development of a team of 12 Early Stage Researchers and 2 Experienced Researchers (<5), who will have regional specialisation, a rigorous methodological training and three years experience of working in an international and intercultural environment. Such experts are in high demand and this ITN will lay the basis for ensuring that Europe is self sustaining in creating the best young researchers in the world with an expertise on the former Soviet space. This ITN is based on a premise of learning by doing, but learning in a highly structured and supported environment. The project, in addition to creating the next generation of experts in this field, will also contribute a significant body of knowledge in its own right that explores and compares the way tensions have been escalating (or remaining latent), implemented and applied to different geopolitical realities.
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 'The Discursive Construction of Academic Excellence. Classifying SSH Researchers Through Text-Processing Practices' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

DISCONEX investigates two types of text-processing practices by means of which academic researchers are classified in different national and disciplinary fields of the social sciences and humanities (SSH). The research project will produce theoretically informed and empirically grounded insights into the social organization of SSH research. Drawing from constructivist social theory and qualitative methods in discourse analysis and pragmatics, the research team investigates the discursive construction of excellence as a practical accomplishment of readers cooperating with texts. In a first step, we collect CVs from confirmed SSH researchers from France, Germany, the UK and the U.S.. Then we carry out reader interviews to investigate how membership is negotiated in specialized knowledge communities of the SSH. In a second step, we investigate non-academic practices of processing large text collections in order to account for how academic producers are ranked by evaluation professionals and calculative technologies. Finally, by comparing representations of excellence produced by academic and non-academic actors, DISCONEX will show how knowledge producers and ranking experts account for the representations of other types of readers respectively. In the light of the complex interpretive problems involved in the reading and writing of academic texts, we will produce reflexive knowledge on how SSH researchers are classified in the light of new modes of academic knowledge production. Given the important role that written texts play in SSH discourse, the exchange between the sociology of science and discourse analysis can help establish a new field: the social sciences and humanities studies (SSHS).
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 'Cyber SECurity Risk Assessment in virtualized AIRSPACE scenarios and stakeholders’ awareness of building resilient ATM' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

The SEC-AIRSPACE project aims to enable a more resilient ATM, by focusing on reducing the risks of virtualization and increased data-sharing between all components of the ATM infrastructure and the relevant stakeholders. The project will enhance the state-of-the-art security risk assessment methodology(ies) currently adopted in ATM with prominent cyber security components. Further, the project will investigate the potential of applying the concept of People Analytics (PA) to increase cyber security awareness in ATM organizations. The project results will be validated and demonstrated through two realistic use cases, involving relevant stakeholders.