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 'AFEL - Analytics For Everyday Learning' under Horizon 2020.

assistant: **Concept**

The goal of AFEL (Analytics for Everyday Learning) is to develop, pilot and evaluate methods and applications, which advance informal/collective learning as it surfaces implicitly in online social environments. The project is following a multi-disciplinary, industry-driven approach to the analysis and understanding of learner data in order to personalize, accelerate and improve informal learning processes. Learning Analytics and Educational Data Mining traditionally relate to the analysis and exploration of data coming from learning environments, especially to understand learners' behaviours. However, studies have for a long time demonstrated that learning activities happen outside of formal educational platforms, also. This includes informal and collective learning usually associated, as a side effect, with other (social) environments and activities. Relying on real data from a commercially available platform, the aim of AFEL is to provide and validate the technological grounding and tools for exploiting learning analytics on such learning activities. This will be achieve in relation to cognitive models of learning and collaboration, which are necessary to the understanding of loosely defined learning processes in online social environments. Applying the skills available in the consortium to a concrete set of live, industrial online social environments, AFEL will tackle the main challenges of informal learning analytics through 1) developing the tools and techniques necessary to capture information about learning activities from (not necessarily educational) online social environments; 2) creating methods for the analysis of such informal learning data, based on combining visual analytics with cognitive models of learning and collaboration; and 3) demonstrating the pot
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 'Concept Invention Theory', explaining its relevance to EU policy priorities under Seventh Framework.

assistant: **Impact**

The capacity of combinational creativity---i.e., when novel ideas are produced through unfamiliar combinations of familiar ideas---is difficult to recreate computationally. In particular, it is a hard task for autonomous computational systems to tackle the combinatorial explosion of potential combinations, and to be capable of recognizing the value of newly created ideas (concepts, theories, solutions, etc.), particularly when they are not specifically sought ---this is the problem of creative serendipitous behaviour.<br/>In this project, we aim to develop a computationally feasible, cognitively-inspired formal model of concept invention, drawing on Fauconnier and Turner's theory of conceptual blending, and grounding it on a sound mathematical theory of concepts. Conceptual blending, although successfully applied to describing combinational creativity in a varied number of fields, has hardly been used for implementing creative computational systems, mainly due to the lack of sufficiently precise mathematical characterizations thereof.<br/>The model to be defined in the context of this project will be based on Goguen's proposal of a Unified Concept Theory, and will draw from interdisciplinary research results from cognitive science, artificial intelligence, formal methods and computational creativity.  To validate our model, we will implement a proof of concept of an autonomous computational creative system that will be evaluated by humans in two testbed scenarios: mathematical reasoning and melodic harmonization.<br/>We envisage that the results of this project will be highly significant for gaining a deeper scientific understanding of creativity, for fostering the synergy between understanding and enhancing human creativity, and for developing new technologies for auto
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 'Homeoproteins and adhesion molecules in development and regeneration : targets for neurological diseases and tools for their treatments' goes beyond current state-of-the-art under Fourth Framework.

assistant: **Innovation**

- To analyse in vivo and in vitro the role of homeogenes in the transcriptional control of CAMs.- To understand the mode of transduction of NCAM and other adhesion receptors, focusing on the FGF receptor. - To develop new therapeutical approaches based on the use of polypeptides derived from soluble CAMs endowed with signalling properties and of homeodomain peptides that translocate through the plasma membrane. The molecular and cellular basis of the regulation of adhesion molecules (NCAM, TAG-1, APP and F3) by developmental genes, homeogenes in particular, will be analysed. This part of the study will include promoter analysis in vitro (sequencing), ex vivo (transfection), and in vivo (transgenesis). Mice bearing null mutations for some transcription factors will be prepared and the consequence of the mutations on adhesion molecule (or promoter) expression will be followed. The role of the FGF receptor FGF-R1 in signalling the effects of adhesion molecules such as NCAM and L1 will be analysed in vitro and in vivo. In the latter case experimental models allowing for the study of neuronal plasticity in the adult, for example morphological modifications that accompany lactation, will be used. Mice carrying null mutations for NCAM or dominant negative forms of neuronal FGF-R1 will be used to assess the importance of these molecules in plasticity. In view of the increasing evidence that developmental genes and CAMs are involved in several pathologies, these studies, in addition to their basic aspects, have the ambition to permit a better understanding of several genetic and acquired diseases at the molecular and cellular levels. They also have the potential to lead to the development of new therapeutic strategies for neuroprotection and nerve regeneration based on the use 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: Explain the overall concept, methodology and approach for the project 'Generalized nonextensive power-law transverse momentum spectra and their applications in high-energy collision physics' (GLITTER).

assistant: **Concept**

High energy collision events (proton-proton, lead-lead etc.) create the quark-gluon plasma (QGP), a state of matter in which the micro-second old universe existed. Distribution of particles created in these events help understand the properties of QGP. Experiments (e.g., the LHC at CERN) have given rise to many theoretical and phenomenological studies attempting to describe particle (hadron) production, which follows a power-law distribution, using statistical models. Hadron spectra generated in high-energy collisions are described by nonextensive distributions in the transverse momentum space represented by two parameters, the nonextensivity parameter q and temperature T. The nonextensive distributions approach the Boltzmann-Gibbs distributions in the limit q approaching 1. The nonextensive distributions, widely used in the phenomenological studies, can be calculated from statistical mechanics using constrained maximization of a generalized nonextensive entropy. The project GLITTER concentrates on these distributions and is divided into two parts: theory and phenomenology. In the theory part, the analytical form of the most generalized nonextensive transverse momentum spectra without an existing procedural arbitrariness will be calculated using nonextensive statistical mechanics for a simple harmonic oscillator. Also, a nonextensive model for an anisotropic medium will be proposed for arbitrary energy using the Mellin-Barnes representation. In the second part,  phenomenological implications of these models will be explored using the ROOT programs that will be set up using the expertise of the supervisor's group. The project will propose analytical nonextensive models generalizing existing results and leading to reduced computation time. It will also clear the ambiguity
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 'AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-in-the-Loop and Coupling of Hybrid Science-Guided and AI Models' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

AI-DAPT brings forward a data-centric mentality in AI, that is effectively fused with a model-centric, science-guided approach, across the complete lifecycle of AI-Ops, by introducing end-to-end automation and AI-based systematic methods to support the design, the execution, the observability and the lifecycle management of robust, intelligent and scalable data-AI pipelines that continuously learn and adapt based on their context. AI-DAPT will design a novel AI-Ops / intelligent pipeline lifecycle framework cross-cutting the different business, legal/ethics, data, AI logic/models, and system requirements while always ensuring a human-in-the-loop (HITL) approach across five axis: “Data Design for AI”, “Data Nurturning for AI”, “Data Generation for AI”, “Model Delivery for AI”, “Data-Model Optimization for AI”. AI-DAPT will contribute to the current research and advance the state-of-the-art techniques and technologies across a number of research paths, including sophisticated Explainable AI (XAI)-driven data operations from purposing, harvesting/mining, exploration, documentation and valuation to interoperability, annotation, cleaning, augmentation and bias detection; collaborative feature engineering minimizing the data where appropriate; adaptive AI for model retraining purposes.Overall, AI-DAPT aims at reinstating the pure data-related work in its rightful place in AI and at reinforcing the generalizability, reliability, trustworthiness and fairness of Al solutions.In order to demonstrate the actual innovation and added value that can be derived through the AI-DAPT scientific advancements, the AI-DAPT results will be validated in two, interlinked axes:I. Through their actual application to address real-life problems in four (4) representative industries: Health, Roboti
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 'Exceptional Materials via Ionic Liquids' (EMIL) targeting Seventh Framework.

assistant: **Abstract**

Novel and improved nanomaterials with luminescent properties shall be synthesized in ionic liquids (ILs). In this approach the advantages of ionic liquids in nanoparticles synthesis (high nucleation rate, excellent electrosteric nanoparticles (NP) stabilization, morphology control, tunable properties) shall be combined with two unconventional synthesis methods that again take advantage of unique IL properties to obtain unprecedented compounds. Using a completely new and unconventional approach by evaporating metals, intermetallic phases or metal oxides and fluorides under high vacuum (negligible vapour pressure, low flammabilitly of ILs!) into ionic liquids goes far beyond the state of art of nanoparticle synthesis and is expected to have a high technological impact and should offer a way to highly thermodynamically unstable reaction product. Secondly, microwave (MW) irradiation (high polarizability and conductivity of IL ions makes them excellent MW acceptors) of appropriate metal salt/IL solutions should not only lead to NP/IL systems but the reaction of two NP/IL solutions should again lead to otherwise non-accessible reaction products. In combination, new materials with improved properties will be gained. For example, ILs will improve the lifetime of luminescent rare earth (RE)-based systems due to the weaker covalent RE solvent interaction.  Analysis and property determinations of the systems under investigation will involve a variety of aspects of chemistry, physics and materials science.
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 'Minerals Integrated into Multiple Identifications of Cancer (MIMIC): a multidisciplinary approach for the ultra-sensitive detection of cancer biomarkers' under Seventh Framework.

assistant: **Concept**

Although cancer is a merciless disease, many cancers can be cured if detected in an early stage. This piece of evidence has pushed the scientific community hard to develop new diagnostic tools for the early detection of cancer. MIMIC aims to be a breakthrough in cancer diagnostics by combining extreme sensitivity with design flexibility in a detection platform that can be easily mass-fabricated, therefore granting the easy commercialization of the device for its use in healthcare. In this approach, a microchip that contains multiple electrodes is fabricated with standard procedures in the microelectronics industry. Each electrode is selectively modified with capture probes for different cancer biomarkers by trapping antibodies in a collagen matrix that is generated in situ on each sensor. This biomimetic gelation process, triggered by the application of an electric field with an atomic force microscope, allows one to obtain a complex device starting from a disposable, mass-produced chip. After recognition of the biomarkers with secondary antibodies labeled with alkaline phosphatase, the enzyme generates calcium phosphate crystals as observed in biomineralization processes. Subsequently, the presence of the crystals on the electrodes is detected as the signal of the bioassay by measuring the capacitance of the solution between the electrodes on the chip and the tip of an atomic force microscope as the counter electrode. By using the crystals fabricated by the enzyme as seeds to promote biomimetic crystal growth, multiple biomarkers could be detected at the single-molecule level. The project seeks several scientific milestones, such as the fabrication of the first marketable device that can detect several proteins at the single-molecule level and the integration of atomic
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'Energy Behaviour Change driven by plug-and-play-and-forget ICT and Business Models focusing on complementary currency for Energy Efficiency for the Wider Population'.

assistant: **Innovation**

BENEFFICE’s strategic objective is to reduce wasted energy by incentivising various consumer types in the wide energy consumer market. A novel ecosystem will be developed which enables and incentivises long-term energy consumption savings. BENEFFICE ecosystem leverages novel IoT enabled, low-cost, “plug-and-play-and-forget” devices, energy disaggregation and an innovative empowerment and rewards approach based on an alternative monetary currency so as to change consumers’ energy consumption behaviour. The “plug-and-play-and-forget” devices will accurately capture energy use patterns at the level of each electrical appliance and at the level of each individual user. An energy behaviour model will be used to correlate these patterns with optimal, personalised comfort levels, social profiles and characteristics (including social, economic, geographic and energy use contexts) in order to determine optimal energy use behaviour to reduce wastage of energy and to increase the use of renewable resources in the energy mix. BENEFICE will design personalized, real-time motivational paths to deliver sustained reductions in energy consumption. Customers will be incentivized to follow these paths voluntarily, through the application of novel business models that provide monetary rewards in return for progress along each personalized pathway and help build an online community of like-minded actors. These business models will be based on an innovative digital CO2 currency - CO2 Credits are awarded to actors for proven, sustained reduction in fossil fuel use. Business models that stimulate the supply of, and demand for, CO2 Credits, will be designed, tested and validated. These business models will leverage partnerships with established businesses -third party market catalysts- that rec
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 'Physiological basis of early global-to-local analysis in cortical processing of visual information' in the context of a Fifth Framework call.

assistant: **Objectives**

We want to test with functional magnetic resonance imaging and evoked potentials in humans whether global 3-dimensional visual information modulates early cortical responses. A positive result would support a model where global information governs local processing early in low order visual areas.
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 Horizon 2020 proposal for the project 'A 3D-bioprinting platform with exchangeable tailor-made print heads to engineer tissue surrogates'.

assistant: **Objectives**

Three-dimensional (3D) bioprinting has been projected as one of the technologies with higher prospects to engineer tissue surrogates, which are i) an unquestionable demand for regenerative medicine and ii) an acknowledged upgrade of 2D in vitro cultures as reliable and predictive testing/screening systems for pharma and cosmetic industries. Despite the important milestones achieved so far, bioprinting functional tissues surrogates has proved difficult. The biggest challenge still is the fabrication of complex (different cell types and extracellular components) structures that work, as a whole, as in the native tissue, thus being physiologically relevant. The key 3D bioprinting elements are the printer – more specifically the printing head – and the bioinks (live cells plus extracellular components). As the print head controls the deposition of the bioink, one cannot be dissociated from the other. Thus, the successful 3D bioprinting of functional tissue surrogates is directly linked to the possibility to have a 3D printer that supports the characteristics of each bioink designed explicitly for each compartment of a specific tissue. Therefore, a new mind-set in which an integrated development of the print heads (guaranteeing processability and cell-friendly conditions) and the bioinks (ideal combination of biomaterial and cell designed explicitly for each compartment of a specific tissue) is required.This project proposes to prove the feasibility of having an on-demand 3D printing platform that can combine multiple print heads with different features, virtually at any combination. This strategy will foster reaching significant milestones in a shorter time and expectably at lower costs due to more straightforward and highly innovative scientifically-driven approaches.
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 'Model-based synthesis of digital electronic circuits for embedded control' in the context of a Seventh Framework call.

assistant: **Objectives**

A key functionality of embedded systems is the ability to react dynamically to changing conditions and guarantee desired behaviour for the physical system they are embedded into. The design of embedded systems that are capable of such control functionalities must take the interactions between the embedded device and the dynamics of the physical embedding environment into account. The heterogeneity between those parts, the ever growing complexity of the overall system, stricter requirements, and the lack of systematic embedded control system design tools, make the design task very time-consuming, expensive, and error-prone. The standard approach is to decouple the design by splitting the control design and circuit design tasks into two separate phases, often executed by engineers with different backgrounds. The only interaction between the two designs is around specs (such as sampling frequency, memory, flops, etc.), which are possibly negotiated iteratively until a satisfactory design is reached, but more often unidirectionally communicated. The resulting outcome is typically far from optimal.<br/>A coherent and consistent paradigm for the design of embedded control systems is the goal of the MOBY-DIC project. A new methodology and associated tool chain will be developed encompassing in a unique framework the modelling of the physical process, design of the control algorithms, design of embedded circuits, and the assessment of the overall performance properties of the system. MOBY-DIC will achieve such an integrated design flow by developing a core methodology based on piecewise affine" representations, that at the same time (i) provide a rather flexible structure for control functions, and (ii) are directly mapped into digital architectures of small-size and low-power.