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 clear, measurable objectives and define the scope for the project 'EveNt DrivEn Active Vision for Object peRception (ENDEAVOR)' (ENDEAVOR) under Horizon Europe.

assistant: **Objectives**

Computer vision, leveraging deep learning in the last decade, has achieved unprecedented progress. However, it is largely relying on datasets of still images, thus using ""passive vision"". On the contrary, biological vision is a fundamentally active process of exploration to disambiguate objects, and yet, the potential of active vision for robotics remains underexplored.The ENDEAVOR project seeks to redefine traditional static image analysis within fast online robotic applications. This project integrates the computational models of Sensorimotor Contingency Theory (O'Regan and Noe, 2001) with event-driven perception and neuromorphic computing. Sensorimotor contingency represents the dynamic relationship between an agent's sensory inputs and motor actions in the environment. Active sensory data generation naturally aligns with event-driven perception, tracking moving objects via agent-generated events, while neuromorphic computing minimises latency and energy use.The humanoid robot iCub will hold objects and examine them from various perspectives through eye and wrist movements. The project capitalises on bioinspired hardware and software solutions, ultimately aiming to reduce computational demands, power consumption, and latency in intelligent systems.ENDEAVOR offers three significant contributions to computer vision and robotics: (1) It introduces active vision strategies that enhance object perception. (2) It integrates event-based visual sensing with rapid and efficient parallel computation, leveraging neuromorphic computing principles. (3) The project establishes a benchmark that allows for both qualitative and quantitative evaluations, fostering comparisons among various approaches, including frame-based, event-based, and spiking-based systems.The importance of th
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 'Deep ice - Deep learning. Artificial intelligence revealing the oldest ice climate signals' (AiCE), addressing dissemination and exploitation.

assistant: **Impact**

We are missing a central piece in the puzzle to understanding our Earth’s climate: Its dynamics fundamentally changed during the “Mid-Pleistocene Transition”, when some 1.2 million years ago the oscillation between warm periods and ice ages shifted its periodicity from 41 to 100 ka. A key set of information about this change was archived in the snow that fell at that time in Antarctica. At unique locations, that snow is still preserved today in the deepest ice layers– but does it still contain its original message? AiCE will answer this key question specifically using chemical impurity signals which make up a large part of the ice core record about past atmospheric conditions. For this purpose, we take a new approach to study the oldest and highly thinned layers at unprecedented detail. While conventional meltwater analysis delivers 1D cm-resolution signals, we go into 2D by imaging the chemical impurity distribution at micro-metric scale in the solid ice core. This way, we can retrieve crucial information that is inevitably lost by melting: The same ice matrix preserving the climatic record can act on it and ultimately destroy it through various processes, causing impurities to relocate away from their original layer. Hence, the goal is to identify the original layering, by detecting post-depositional change through analyzing highly-dimensional chemical images. However, human observers have clear limitations in detecting all the important details in such complex visual datasets. This is why AiCE will add deep learning to deep ice: Artificial intelligence (Ai) image analysis will be established through a comprehensive understanding of the chemical image features and their connection to post-depositional processes. With this, we can address the fundamental climate questi
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 'Multiscale design of porous implants with a biomimetic functionally graded cellular material' to be submitted under Horizon 2020.

assistant: **Abstract**

Endosseous implants are now widely used in clinical practice to restore joint functionality or to replace missing teeth. Despite theirincreasing success, implant long-term stability remains a concern and it is difficult to predict the surgical outcome so far. Amajor cause of failure comes from bone resorption secondary to stress shielding, which arises from the mismatch of themechanical properties between the implant and the surrounding bone tissue. To overcome this problem, MIDPOINT proposes todesign porous implants that will have a biomimetic cancellous bone microstructure with a nonhomogeneous distribution of itsmaterial properties. The optimal design will produce implants with mechanical and microstructural properties similar to that ofthe bone, which will result in an improvement of the effectiveness of osseointegration phenomena.A work methodology that combines multiscale computational modelling and experimental work for the formulation,construction, verification and validation of computational models is proposed. This methodology will comprise i) the design ofnew biomimetic microstructures that replicate the geometrical properties of the natural trabecular bone using a generativedesign approach, the Voronoi tessellation approach; ii) the development of an iterative computational method to predict thefatigue life of the artificial microstructures directly at the macroscale employing damage accumulation models coupled withartificial neural networks; and iii) the construction of multiscale models of bone-implant systems to optimize the implantmicrostructure locally in order to achieve a desirable mechanical response and functional environment for bone ingrowthand, therefore, minimize bone resorption. These techniques will be employed to design implants and scaffolds
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 'Stochastic methods for combinatorial optimization' (2002-2006).

assistant: **Innovation**

Often the combinatorial optimization problems are very hard and to find an optimal solution can take some months. If some does not necessary need un exact solution an approximation algorithm can be used instead. An approximation algorithms aims to find a  good" but not necessary the optimal one, within a realistic computational time. Stochastic algorithms are this kind of algorithms. A wide variety of optimization problems have been studied and can be found in the literature. Although they represent an impr essive diversity of real life decision problems. A procedure that is fast, easy and cheap to develop, understand, implement, execute and maintain and that consistently yield satisfactory solutions, is therefore often seen as the most suitable algorithm in practice. Examples of stochastic algorithms are simulated annealing, evolutionary computation, ant colony optimization, Monte Carlo methods. The problems on which these methods are applied come from real life and industry. The research method will be both practical and theoretical. It is structured along two orthogonal lines, stochastic methods and problems. The stochastic methods are one of the most effective methods to solve hard problems. The project will allow the applicant to reintegrate and to exchang e knowledge's. It will deep her knowledge's about stochastic methods learning different methodologies. It is not negligible that the period of re-integration will be followed by permanent position. The host institution is in the country of the nationality of the applicant and the project will help for the development of this less developed region of Europe."
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 'Scalable and Sustainable Sorting and Processing of Semiconducting Carbon Nanotubes as Functional Materials' in the context of a Horizon Europe call.

assistant: **Objectives**

Single-walled carbon nanotubes (SWNTs) feature outstanding electronic (high carrier mobilities) and optical (narrow near-infrared absorption and emission) properties. To harness these properties for functional materials and devices, they must be separated into purely semiconducting, metallic or even single-chirality SWNTs. The currently available separation methods are either expensive, not scalable or require harmful chemicals and solvents. Likewise, the subsequent processing of SWNTs into optical probes for bio-imaging, sensors, electronic circuits or thermoelectrics is far from sustainable. Both issues have so far prevented the widespread application of SWNTs despite their excellent properties. These problems cannot be addressed by tweaking parameters but require new approaches that take scalability and the environmental impact of the applied materials and processes into account, explore alternatives and expand our knowledge about the interactions of SWNTs with their environment to optimize new methods from the beginning.SCALE-NT aims to(i) explore new methods for the dispersion, purification and sorting of SWNTs in benign solvents and with natural or bio-based dispersants; and scale-up these processes toward multi-gram amounts of sorted SWNTs in a sustainable manner. (ii) develop sustainable processes and materials for the fabrication of SWNT-based devices such as thin-film transistors on recyclable substrates, large-area thermoelectrics without harsh dopants, and biodegradable optical sensor arrays for organic pollutants based on tailored interactions with functionalized SWNTs. (iii) understand the interactions of SWNTs with their surroundings as required for sorting and optical sensing via advanced in-situ THz and near-infrared fluorescence spectroscopy.With these
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 'Diamond Magnetometry: A Versatile Tool for Virology and Medicine' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

Reactive Oxygen Species (ROS)/ free radicals (FR) in cells have a very complicated role in viral infections. While some researchers point toward their usefulness in mediating viral infections, others conclude the exact opposite and claim that there are detrimental effects. To probe deeper into virus pathogenesis and improve anti-viral therapy, cellular FR - viral infection kinetics which potentially depends on virus, cell/animal model, type of reactive species, etc. needs to be investigated with high spatiotemporal resolution. However, all the traditional methods capable of detecting FR have limitations when real-time, long-duration, high resolution measurements are to be conducted within a small sample volume (inside of a cell). Recently, diamond magnetometry was proposed to study cellular FR with unparalleled sensitivity, resolution, and the possibility of real-time long-duration measurements. In this highly interdisciplinary collaborative research, I aim to establish this technique in studying cellular FR- viral infections kinetics. As a model system I will investigate the host cell FR response upon Sindbis virus (SINV) infection with high spatiotemporal resolution. FR response will be quantified via measuring T1 relaxation time of Nitrogen Vacancy centers in fluorescent nanodiamonds (FNDs). Furthermore, I intend to highlight the potential of diamond magnetometry in clinical diagnostics and drug development by demonstrating the FR detection in synovial fluid of arthritis patients (outcome of SINV infection) and detecting cells’ FR response to anti- oxidants. Upon successful completion, I will not only have elucidated the interplay of FR and SINV infections but also underscored the potential of diamond magnetometry in fundamental virology, infection biology, clinical
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 'Novel inorgano-bioorganic nanocomposites for biomedical and engineering applications' goes beyond current state-of-the-art under Seventh Framework.

assistant: **Innovation**

The principal objective of the present Project is to establish a long-lasting collaboration, to provide a possibility for transfer of knowledge, to enable exchanges of research personnel, and to create an intercontinental network in the area of hybrid inorgano-bioorganic nanocomposites for biomedical and engineering applications. Realization of the Project will lead to the development of novel nanobiocomposites, which are based on natural components specific for particular regions of Brazil and South Africa.The expertise of the consortium partners is mutually complementary, it encompasses synthesis of the nanocomposite precursors (FI), their modification and improvement of synthetic approaches to hybrid nanocomposites (UA), isolation and characterization of natural active compounds and fibres of plant origin (BR2, BR1, ZA) that are coupled with the development of advanced nanophases and hybrid nanocomposites (FI, IT1, IT2, BR1).Main scientific goal of Project consists in the development of knowledge-based high-added value inorgano-bioorganic nanocomposites, natural and nature identical materials, drug delivery vectors, pharmaceutically active compounds, pharmaceutical and cosmetic formulas through valorisation of regional natural resources and scientific expertise.Innovative nanocomposites and their novel components will be characterized using up-to-date facilities available at all partner organizations for comprehensive physico-chemical, mechanical, spectroscopic, and microscopic studies at the nano-scale; followed by assessment of their anti-cancer, anti-parasite, insecticide and antimicrobial performance in in-vitro (BR2, ZA) and in-vivo tests (ZA). Ethical issues of the research will be duly addressed.Results of the Project will strengthen the scientific potential o
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an impact statement for 'Queer Interventions on Self-Harm in Prison', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

This proposal deals with the persistent problem of self-harm in prisons and addresses limitations of mainstream approaches by outlining a theoretical approach informed by Queer Studies. This project aims to offer a queer interpretation of these phenomena through a more holistic, less pathologizing frame of understanding self-harming experiences in prison settings. My research so far (Vasiliou, 2020) has examined the paradox of pleasure in ex-prisoners’ accounts of pain and suffering in prison and has attempted to engage issues of gender and sexuality in considering narratives of pain/pleasure, agency and resistance. These findings are the base for this training and research proposal which will focus specifically on understanding the problem of self-harm in prisons from a Queer Criminology (QC) perspective. The project is divided in three phases: First, during the outgoing phase, I will train for 5 months with a prominent expert in the emerging field of Queer Criminology in Australia (Dr Matthew Ball) and, second I will work with Dr Eric Stanley in the Department of Gender and Women’s Studies of the University of California (19 months). In the return phase, I will work for 12 months in the department of Sociology in the University of Warwick with an outstanding expert on the issue of women’s self-harming in prison settings (Dr Anastasia Chamberlen). The aims of the project are: 1) training in QC Theory and Methodology 2) To outline the scene in relation to self-harming issues in European prison settings. 3) To design and apply a QS methodological tool for conducting research with self-harming individuals in ex-prisoners population. 4) To conduct research with ex-prisoners about experiences of self-harming at the return phase in the UK. 5) To publish a brief policy docume
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 'INNOVATIVE MOLECULAR MODELLING APPROACH TO UP-GRADE POLYMERIC MATERIALS FROM POST INDUSTRIAL REJECTS' goes beyond current state-of-the-art under Sixth Framework.

assistant: **Innovation**

The principal aim of this project is the study and development of tailor made multicomponentpolymeric blends coming from post-industrial rejects, suitable to embed Nan particles. The novel materials will be addressed to multicultural applications such as lighting, automotive, textile and buildings, using different technologies such as injection moulding, fibre spinning and extrusion. The task will be accomplished through the integration of molecular modelling in rational design process, considering main aspects, which characterise the development of novel materials: characteristics expected, components to gain the desired properties, technologies available to processmaterials. In a context of sustainability, up-grading post industrial rejects goes beyond simple re-use and aim to obtain eco-designed materials from sources that actually represent a production cost and are waste problem. Through structured particles embedding, polymers matrices reaches high level of competitiveness towards raw materials. Project will investigate aspects regarding micro-structured phase behaviour of matrices themselves, interfaces between structured materials and matrices to obtain thermal resistance and stability, combined with transparent aspect and mechanical resistance, which are basic for the applications named before. Project will explore also how injection moulding, extrusion, and fibre spinning technologies can respond to the need of an economic way to process novel composites. The consortium consists of 10 partners from 3 different EC states, 2 different AC and 1 Mediterranean country.Universities (4), Research institutes (2), and Sees (4) are represented in the team. In particular the project will considerably contribute to strengthen ERA bringing together researchers from east Eu
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 'Polysilazan-derived micro-nano structured si3 n4/sic composites'.

assistant: **Innovation**

Recently, special attention has been focused on micro-nano Si3N4/SiC composites due to the exceptional mechanical properties and oxidation resistance displayed by these advanced materials at high temperatures. The aim of this research project is to prepare micro-nano multicomponent ceramics with nano-sized SiC inclusions in microcrystalline Si3N4 grains by the in-situ crystallisation of amorphous polysilazane-derived bulk ceramics. The polysilazane to ceramic transformation allows to produce Si3N4/SiC composites at unusually low temperatures and to design its microstructure. One task of this project is to assess which appropriate pyrolysing conditions of the polysilazane polymer influence the carbon content of the final ceramic powder. Then, sintering of this polysilazane-derived Si-C-N powder with the desired carbon content enables to gain control over both the localisation and the volume fraction of the nano-sized SiC particles in the microstructure. The SiC dispersion is known to enhance the mechanical performances, which are on the other hand affected by the sintering aids used. Therefore, by lowering the amount of the sintering aids added, it is expected to improve significantly the high-temperature mechanical properties and the oxidation resistance. This latter point is of special interest with respect to the industrial development of novel advanced ceramics for applications in the field of cutting tools, turbine components and air and spacecraft devices.