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 an executive summary for the EU project 'Nanoparticles in Situ Surface Growth for Direct Fabrication of Functional Patterned Nanomaterials' (NANOGROWDIRECT) targeting Horizon Europe.

assistant: **Abstract**

Due to their unique physicochemical properties, nanopatterned surfaces can contribute to important technological innovations for efficient optical and communication devices, long-lasting batteries, and ultrasensitive diagnostic devices. Bottom-up synthesis enable to construct nanomaterials atom-by-atom from precursors using synthetic chemistry, usually producing colloidal nanoparticle suspensions that are later assembled on a surface. Alternatively, the fabrication process can be greatly simplified by instead applying bottom-up growth directly on a substrate. However, these “in situ” growth routes remain largely unexplored and poorly understood.To address this knowledge gap and improve versatility and quality of this class of approaches, I propose to use an unconventional methodology called “chemical contrast in situ growth” or CC-iSG, where precise nanometric chemical contrast drives nanostructure formation at pre-determined sites.With NANOGROWDIRECT, I will develop a foundational understanding of CC-iSG through the interrogation of fundamental synthetic aspects, and maximize its potential for achieving exemplary control over nanoscale properties of nanosurfaces and metamaterials. I will interrogate the effect of the identity, concentration, and delivery of various reactants to the pre-determined reaction sites, with focus on chemical control (Objective 1) and fluid dynamic control (Objective 2). I will also test the use non-chemical external factors, such as electromagnetic fields (Objective 3), and electrochemical potentials (Objective 4).In the short term, CC-iSG will open up unexplored directions for engineering physicochemical properties of patterned nanosurfaces, combining wet-chemistry and external stimuli. Consequently in the long term, the far-reaching impacts
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 'Outdoor Science Education for a Sustainable Future' (OTTER) under Horizon 2020.

assistant: **Objectives**

Learning science helps to train students in observation, reasoning and argumentation, which are some of the foundations for all learning. It also helps improve transferable skills, such as logic, critical thinking and organisation. In order to develop an awareness of the complex interactions in contemporary society between science, technology, society, education and the environment, it is important to have an understanding of scientific practices and processes. This understanding also helps students to become active, scientifically literate citizens. With waning interest in science, technology, engineering and mathematics (STEM) among young people, OTTER aims to enhance understanding of education outside the classroom (EOC) methods and how they can be utilised to increase interest in STEM subjects among students and improve their acquisition of scientific knowledge and transferable skills. The project will connect EOC experts from Finland, Hungary, Spain and Ireland, strengthening networks within Europe and building a foundation for the development of EOC pilot schemes within the four focus countries. The effects of these pilots on the performance of participating students, including their levels of sophisticated consumption and scientific citizenship, will be analysed to better understand the effects of EOC on EU citizens. The pilots will build on recent momentum in tackling environmental issues and help to promote sophisticated consumption by incorporating a theme of reducing and managing plastic waste. The analysis will seek to identify differences in the effect of the programmes on students from different geographical locations and of different genders, comparing those who participated in the EOC pilot schemes with students who only participated in formal education.
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 'Boosting new Approaches for flexibility Management By Optimizing process Off-gas and waste use' (BAMBOO) targeting Horizon 2020.

assistant: **Abstract**

BAMBOO aims at developing new technologies addressing energy and resource efficiency challenges in 4 intensive industries (steel, petrochemical, minerals and pulp and paper). BAMBOO will scale up promising technologies to be adapted, tested and validated under real production conditions focus on three main innovation pillars: waste heat recovery, electrical flexibility and waste streams valorisation. These technologies include industrial heat pumps, Organic Rankine Cycles, combustion monitoring and control devices, improved burners and hybrid processes using energy from different carriers (waste heat, steam and electricity) for upgrading solid biofuels. These activities will be supported by quantitative Life Cycle Assessments. In order to maximize their application and impact to plant level, flexibility measures will be implemented in each demo case towards energy neutrality and joined in a horizontal decision support system for flexibility management. This tool will analyse, digest and interchange information from both, the process parameters and the energy market, including the BAMBOO solutions. As a result, the operation of the plants will be improved in terms of energy and raw materials consumption, and will lay the foundation of new approaches in the energy market. BAMBOO will empower intensive industries to take better decisions to become more competitive in the use of natural resources in a broader context, in the spirit of facilitating the use of larger variability and quantity of RES. BAMBOO consortium comprises strong industrial participation; 6 large companies as final users and 3 SMEs as technology providers, working with experienced RTOs and supporting entities. The private investment associated to BAMBOO is over 7M€ along the execution of the project. Last
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 Europe proposal on 'Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0'.

assistant: **Innovation**

Next-generation industrial systems promise to deliver unprecedented excellence not only in terms of performance, but also explainability, trustworthiness and transparency.  To achieve this new objectives, state-of-the-art concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied. Motivated by this, TALON aims at sculpturing the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable,  explainable, energy and data efficient manner. TALON architecture consists of three fundamental pillars: a) an AI orchestrator that coordinates the network and service orchestrators in order to optimise the edge vs cloud relationship, while boosting reusability of datasets, algorithms and models by deciding where each one should be placed; b) a lightweight hierarchical  blockchain schemes that introduce new service models and applications under a privacy and security umbrella; and c) new digital-twin empowered transfer learning and visualization approaches that enhance AI trustworthiness and transparency. It combines the benefits of AI, edge and cloud networking, as well as blockchain and DTs, optimized by means of a) new key performance indicators that translate the AI benefits into insightful metrics; b) novel theoretical framework for the characterisation of the AI; c) blockchain used to deliver personalised & perpetual protection based on security, privacy and trust mechanisms; d) AI approaches for automatically and co-optimising edge and cloud resources as well as the AI execution nodes; e) semantic AI to reduce the learning latency and enhance reusability; and f) digital twins that visualize the AI ou
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 'Data-Driven Verification and Learning Under Uncertainty' in the context of a Horizon Europe call.

assistant: **Objectives**

Reinforcement learning (RL) agents learn to behave optimally via trial and error, without the need to encode complicated behavior explicitly. However, RL generally lacks mechanisms to constantly ensure correct behavior regarding sophisticated task and safety specifications.Formal verification (FV), and in particular model checking, provides formal guarantees on a system's correctness based on rigorous methods and precise specifications. Despite active development by researchers from all over the world, fundamental challenges obstruct the application of FV to RL so far.We identify three key challenges that frame the objectives of this proposal.(1) Complex environments with large degrees of freedom induce large state and feature spaces. This curse of dimensionality poses a longstanding problem for verification.(2) Common approaches for the correctness of RL systems employ idealized discrete state spaces.However, realistic problems are often continuous. (3) Knowledge about real-world environments is inherently uncertain. To ensure safety, correctness guarantees need to be robust against such imprecise knowledge about the environment.The main objective of the DEUCE project is to develop novel and data-driven verification methods that tightly integrate with RL. To cope with the curse of dimensionality, we devise learning-based abstraction schemes that distill the system parts that are relevant for the correctness. We employ and define models whose expressiveness captures various types of uncertainty. These models are the basis for formal and data-driven abstractions of continuous spaces. We provide model-based FV mechanisms that ensure safe and correct exploration for RL agents.  DEUCE will elevate the scalability and expressiveness of verification towards real-world deploym
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 'Assessment of uncultured microorganisms in monuments using 16s rrna sequences.', explaining its relevance to EU policy priorities under Fifth Framework.

assistant: **Impact**

They can be summarised as follows: Consolidation of molecular biology and biotechnology tools applied to the field of cultural heritage and increasing of the expertise of the research group. Full integration of the new competence into the activity of the research group. Training of the national predoctoral and postdoctoral students in the new competence. Increasing of the number of accepted national predoctoral students in the host institution as a consequence of the expansion of activities. Increasing of the competitivity of the research group and host institution in the European scientific world and in the National and European project calls. Possibility of creation of new job positions at mid-long terms (staff) as a consequence of the increasing of scientific activities, projects and international cooperation. Development of the research group itself by the capability to cover other areas of the microbiology where the new competence can be of interest.
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 'Neural network analysis for prediction of interactions in cement / waste systems' (1994-1998) targeting Fourth Framework.

assistant: **Abstract**

The presence of impurities can have damaging effects on the quality of products made with portland cement, which the difficult to predict. Nevertheless, introduction of impurities into cement systems is inherent to recycling of industrial by-products by utilization in cement-based building materials and in treatment of industrial wastes by cement-based solidification prior to disposal. The consequences of design of cement/waste products without proper consideration of the potential for complex interactions between cementing components and impurities, are: handling difficulties, failure to set, improper strength development, and deterioration over time. These hazards, and the difficulty in predicting their occurrence, have hindered both utilization and/or solidification of industrial by-products, because potential benefits are outweighed by the expense of failures, even for applications where there is no risk to human health or the environment (e.g., road construction with inert residues). The use of conventional modelling and data analysis techniques for prediction of interactions and final properties in cementlwaste systems is limited by the complexity and poor understanding of the mechanisms involved. Neural network analysis is a promising technique for finding relationships in complex non-linear systems SUC]I as blended cements containing waste. A neural network is a mathematical model which is capable of parallel processing of a variety of inputs to identify patterns in large data sets of many variables, and to make predictions based on these patterns. An inevitable consequence of neural network analysis is that any relationships identified between variables in a dataset are non-mechanistic. While this might appear to be a drawback, the advantage over conventional d
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 'Gene-Environment Interactions in the Etiopathogenesis of Parkinson's Disease: Role of Inflammation' to be submitted under Seventh Framework.

assistant: **Abstract**

Parkinson's disease (PD) is a relentlessly progressive disease characterized clinically by bradykinesia, rigidity, and resting tremor. Clinical manifestations of PD are not apparent until 80~85% of neurons in the substantia nigra pars compacta (SNc) have degenerated and striatal dopamine (DA) levels are depleted by 60~80%. At the time of diagnosis, the therapeutic window and the potential to intervene are therefore greatly reduced. Thus, there is an urgent need to understand better the pathogenetic basis of PD so that effective early neuroprotective therapies can be developed. There are many diverse genetic and age-associated risk factors for developing PD. Converging evidence, including the reduced risk for PD among long-term users of nonsteroidal anti-inflammatory drugs, strongly supports the role of inflammation in PD pathogenesis.The current research proposal aims to define the role of inflammation in the etiopathogenesis of sporadic and familial PD. By the means of a series of novel transgenic mice, we will dissect the role of different immune cells subsets in the initiation of neuron dysfunction and degeneration. To investigate whether genetic vulnerability combined with inflammation could underlie the patterns of neuron degeneration seen in PD, we will focus on the commonest form of hereditary PD which relates to mutations in the Leucine-rich repeat kinase 2 (LRRK2) gene. Induced pluripotent stem cells (iPSC) generated from skin cells of LRRK2-PD patients, and novel transgenic mice overexpressing human LRRK2 in specific neuronal and immune cell populations, will allow us to investigate the non-cell autonomous mechanisms involved in the disease onset.Such in vivo and in vitro models of sporadic and hereditary PD provide promising experimental situations in which 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: Draft the 'Objectives and Scope' section of a Seventh Framework proposal for the project 'Capacity Building for Direct Water Reuse in the Mediterranean Area'.

assistant: **Objectives**

In the Mediterranean region the pressure on water resources is high, so there is no water to “waste”. Water is becoming a limiting factor for agricultural, and even for industrial development. Treated wastewater is part of the community’s water resources and one component of sustainable water management approach. The direct reuse, instead of wastewater discharge in the network, reduces costs of treatment and throwing of biological recalcitrant compounds into a water stream. To reach this purpose, water treatment should target (i) pollutants degradation, (ii) multi-purpose water use and (iii) sustainability of the technologies. Reinforcement of cooperation between EU and ENP countries is necessary to implement sustainable water management.The project proposes to use the frame of FP7 programme (ERA-WIDE) for the reinforcement of cooperation capacities of Tunisian research centre “Centre of Water Researches and Technologies, CERTE” in specific items which CERTE has already an expertise to build on competency and capacity. The topic “Wastewater treatment for elimination of recalcitrant compounds allowing multiuse of the water and direct recycling and avoiding pollution of water system” is considered the leitmotiv for this proposal.The objective of this project is to reinforce the R&D capacities of CERTE and its regional and international impact with the ultimate goal that R&D activities lead to a fruitful cooperation with the UE for sustainable water management in accordance with the national and European strategies.There is much effort needed to build cooperation to develop appropriate sustainable water management. Still, high attention is given to capacity building on EC cooperation and scientific research through workshops, trainings, technical visits and pilot plants up
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 'REsonant Metamaterials for Train-Induced ground vibration mitigation' (REMoTIon).

assistant: **Concept**

REMoTIon proposes an innovative Compact Resonant Wave Barrier (CRWB) to mitigate railway-induced ground vibrations. Engineering implementation of current pile barriers is limited due to their large dimensions, especially in city centers. Instead, by exploiting the locally resonant metamaterials concept, the proposed research framework allows for designing barriers with practical engineering dimensions. The main research objectives of the project include: (i) analytical design of CRWB guided by dispersion laws by employing Multiple Scattering theory, (ii) numerical design and optimization of CRWB exploiting a mixed wave finite element method and machine learning technique, and (iii) fabrication and testing of CRWB on the field.


**Keywords:** Train-Induced vibrations; Surface waves; Locally resonant metamaterials; Dispersion relations; Wave Finite Element Method; Optimization; Ground-borne vibrations.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Fifth Framework proposal on 'Non-linear approximation and adaptivity: breaking complexity in numerical modelling and data representation'.

assistant: **Innovation**

The main research objective of this network is the joint development, analysis, implementation and optimization of a variety of mathematical concepts and computational tools that help breaking complexity" in a variety of scientific computing tasks. Such tasks include both explicit data compression, as encountered in signal and image processing, and numerical simulation based on a mathematical model such as a partial differential or integral equation. In this last case, the object of interest is implicitly given by the model, and its compression needs to be optimally intertwined with the solution process. In both situations, we aim at developing mathematical representations, tailored data structures and fast resolution/processing algorithms, which are capable of optimally capturing (in an infonnation theoretic sense) the possible hidden simplicity of the underlying object to be stored, processed or computed. On a theoretical level, we shall gravitate around the pivoting mathematical concept of "nonlinear approximation" with the aim of fully understanding the process of adaptively representing classes of functions by N optimally chosen parameters. On a more practical level, we shall investigate practical realizations of such optimal representations, which can be implemented by fast algorithms. Classical instances include adaptive finite elements and more recently wavelets, which are still the source of theoretical and practical limitations when dealing with complicated domains and anisotropy singularities. We shall investigate these difficulties and come out with robust adaptive discretization tools that are in addition well fitted for specific problems: variational discretizations of PDE's arising in real life applications, progressive encoding in multimedia, noise reduc