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: Compose the 'Concept and Approach' section for a Horizon 2020 proposal on 'The physics of Earthquake faulting: learning from laboratory earthquake prediCTiON to Improve forecasts of the spectrum of tectoniC failure modes: TECTONIC'.

assistant: **Concept**

Earthquakes represent one of our greatest natural hazards. Even a modest improvement in the ability to forecast devastating events like the 2016 sequence that destroyed the villages of Amatrice and Norcia, Italy would save thousands of lives and billions of euros.  Current efforts to forecast earthquakes are hampered by a lack of reliable lab or field observations. Moreover, even when changes in rock properties prior to failure (precursors) have been found, we have not known enough about the physics to rationally extrapolate lab results to tectonic faults and account for tectonic history, local plate motion, hydrogeology, or the local P/T/chemical environment. However, recent advances show: 1) clear and consistent precursors prior to earthquake-like failure in the lab and 2) that lab earthquakes can be predicted using machine learning (ML). These works show that stick-slip failure events –the lab equivalent of earthquakes– are preceded by a cascade of micro-failure events that radiate elastic energy in a manner that foretells catastrophic failure. Remarkably, ML predicts the failure time and in some cases the magnitude of lab earthquakes.  Here, I propose to connect these results with field observations and use ML to search for earthquake precursors and build predictive models for tectonic faulting. This proposal will support acquisition and analysis of seismic and geodetic data and construction of new lab equipment to unravel earthquake physics, precursors and forecasts. I will use my background in earthquake source theory, ML, fault rheology, and geodesy to address the physics of earthquake precursors, the conditions under which they can be observed for tectonic faults and the extent to which ML can forecast the spectrum of fault slip modes. My multidisciplinary team
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 'BioVeL - Biodiversity Virtual e-Laboratory', explaining its relevance to EU policy priorities under Seventh Framework.

assistant: **Impact**

Biodiversity Virtual e-Laboratory (BioVeL) meets the needs of Europe's Biodiversity Science research community with tools for pipelining data and analysis into efficient workflows, urgently needed to understand biodiversity in a rapidly changing environment. BioVeL customises, deploys and supports the Taverna / myExperiment / BioCatalogue family of software to achieve this.<br/>Close user involvement is crucial to successful design and implementation of virtual laboratories. Close support and guidance makes all the difference in uptake of tools and their continued success. BioVeL places particular emphasis on targeted networking activities with specific sub-communities and tailored service activities that deliver training, helpdesk and consultancy assistance to solve specific problems.<br/>Using agile processes, BioVeL defines and deploys (web) service sets and workflow packs catering for sub-communities within the domain. The project focuses on pilot topic areas:<br/>i) DNA sequence-based phylogeny and metagenomics services that help link knowledge of model organisms to a broad range of species, that provide a measure of genetic diversity used in conservation planning and that help to understand adaptation in relation to climate change;ii)  Taxonomy services to provide the underpinning checklist of diversity in Europe, identification aids to native, invasive and economic species;iii) Niche and population modelling for species, to better understand the processes of conservation and invasive species management; and,iv) Ecosystem functionality and valuation services, to improve modelling capabilities to ecosystem services and CO2 sequestration.<br/>Through use of gateways, workflows composed in the BioVeL environment can be executed on a wide range of computing resources,
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 'CROWD sensing and ride sharing FOR ROAD Sustainability' to be submitted under Horizon 2020.

assistant: **Abstract**

Road networks are the largest publicly owned assets and they play a fundamental role in socio-economic development andcompetitiveness. At the same time, roads have huge environmental impacts and maintenance costs. Passenger carsaccount for 73.7% of total intra-EU passenger transport, with an average car occupancy rate well below 2 passengers per car. The resulting traffic accounts for about 12% of CO2 emissions. Delayed maintenance impairs road safety and increases cost of intervention, vehicle operating costs, and emissions.The CROWD4ROADS project combines trip sharing and crowd sensing initiatives to harness collective intelligence to contributeto the solution of the sustainability issues of road passenger transport, by increasing the car occupancy rate and byengaging drivers and passengers in road monitoring.BlaBlaCar (http://blablacar.com/) is the largest trusted ride sharing community worldwide, with more than 10.000.000members in 14 countries, while SmartRoadSense (http://smartroadsense.it/) is a crowd sensing system which makes use ofthe accelerometers of car-mounted smartphones to estimate the roughness of the road surface.The CROWD4ROADS platform establishes a synergistic relationship between BlaBlaCar and SmartRoadSense, exploiting the network effect which is inherent in both the initiatives, to provide a sizeable impact in terms of car occupancy rate, roadmonitoring, and end-user engagement in road maintenance and transport sustainability.Scalability issues will be addressed during the project both from a technical and from a social point of view. The approachwill be validated on representative large scale pilots, involving more than 1 million people and covering more than 1 millionkm of roads. Impacts will be measures in terms of road coverage, car occupancy
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 'Physiologically Anchored Tools for Realistic nanOmateriaL hazard aSsessment' (PATROLS).

assistant: **Innovation**

Nanotechnology promises significant scientific, economic and societal benefits, but commercialization and growth are threatened by safety uncertainties. Classical hazard testing strategies to define the human and environmental health impact of engineered nanomaterials (ENM) commonly apply unrealistic acute, high-doses to models that do not reflect the in vivo environment. Furthermore, existing in vitro and in silico hazard detection methods are not accurately predictive. PATROLS addresses these limitations by establishing and standardizing the next generation of advanced safety assessment tools for improved prediction of the adverse effects caused by chronic ENM exposure in human and environmental systems. PATROLS will deliver: 1) physiologically representative multi-cellular in vitro 3D lung, gastrointestinal tract and liver models; 2) cross-species models integrating human and environmental safety testing; 3) innovative ecotoxicity bioassays in several organisms across a food chain; 4) robust in silico models for dosimetry, interspecies toxicity extrapolation and hazard prediction. ENM characterization under physiologically relevant experimental conditions will be integral to this realistic, exposure driven strategy. A systems biology approach will also be adopted to identify key events linked to adverse outcome pathways, informing mechanism-based endpoints associated with real-life ENM exposures. These objectives will be achieved by an international network of world-leading academic, governmental, industrial, SME, risk assessment agency and NGO partners. The innovative in vitro and in silico nanosafety testing tools developed by PATROLS will balance speed, cost and biological complexity, while reducing uncertainty via improved predictive power. The smart targeted tes
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 'Index based Statistical Analysis of Large Text Corpora' (ISALTEC), addressing dissemination and exploitation.

assistant: **Impact**

The statistical analysis of large text corpora is a fundamental method for gaining insights into the structure of language, e.g. for grammar development, machine translation, terminology and named entity extraction, text correction, semantic text analysis, and others. Progress in these fields helps to improve related applications in information science (search engine technology) and many other text oriented disciplines.The core contribution of this project is a new methodology aimed at fundamentally improving statistical analysis of large text corpora. A weakness of current methods in corpus analysis is insufficient use of contextual information. Properly understanding the role, function and meaning of a phrase or word (which is important for many applications, e.g., for translation, search, etc.) is often only possible when taking sentence/paragraph contexts into account. We want to develop and study a new representation of corpora which is superior to present formats in three respects. Most importantly, it offers a much better use of contextual information. At the same time it helps to better distinguish between arbitrary and meaningful parts of text and gives hints on how to compose/decompose phrases. With these properties, the new representation gives a basis for fundamentally improving statistical analysis of corpora. The new representation is derived from a special text index structure which gives immediate access to contexts of any size. The index imposes a natural graph structure on the the phrases in the corpus, which implies that interesting graph-based statistical methods can be applied. Further more it can be efficiently constructed and updated in practice.To practically demonstrate the large potential of the new methodology in NLP we will concentrate on the
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 Horizon Europe proposal on 'Magnon-Phonon Interactions in Finite Temperatures'.

assistant: **Concept**

A fundamental problem in many-body physics is the behaviour of collective degrees of freedom (DOF) in finite temperatures. The ubiquitous quasiparticle paradigm – phonons for vibrational DOF and magnons for magnetic DOF -  linearizes the theory to arrive at an independent particle description. That this picture fails in finite temperatures is well-known and is usually addressed through a perturbative approach, supplementing the ideal plane waves with magnon-magnon and phonon-phonon scattering. Similarly, spin-lattice coupling can also compromise the validity of the phonon and magnon pictures.  Spin-lattice interaction has recently attracted increased experimental and theoretical attention, given its potential significance in many subfields of material science, such as spin-thermoelectrics and spintronics. Still, most treatments remain perturbative, offering only renormalized resonances and finite excitation lifetimes. The inadequacy of such a description is immediately apparent for paramagnetism, or structural phase transitions, where the original ordered ground state of the quasiparticle is gone.  This study sets out to establish a new conceptual framework for measuring and evaluating magnon-phonon interactions in crystals, adopting a phenomenological self-energy description which makes no assumptions about the magnitude of the effect. We will model the effect using many-body Green's functions to parameterize the excitation's correlation function and map the interaction into the diffuse X-ray pattern of archetypical systems (Fe, MnO, Co).  Next, we will apply the generalized scheme to measure magnetic excitations in metal-organic frameworks inaccessible by traditional probes. Finally, I will explore the existence of paramagnons and magnetic phase transition above the N
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 'Additive Manufactured Automotive Antenna for Autonomous Driving' (ACTIVATING) under Horizon Europe.

assistant: **Objectives**

To enable autonomous driving, vehicles need to perceive their surroundings in 360 degrees under any conditions. Autonomous vehicles thus require a variety of high-performance sensors, including camera-, lidar- and radar systems. These sensors need to be weather-independent, reliable, cost-effective, and invisible. While cameras and lidar are struggling with various drawbacks, radar sensors have the potential to fulfil all requirements. However, critical technical hurdles need to be addressed first, and Golden Devices' technology plays a key role in overcoming them. High-performance antennas are a crucial factor in achieving the necessary level of sensor system performance. Antennas are the connecting and at the same time limiting element between chips, software, and the external environment. The antennas transmitting and receiving signals from radar sensors are currently based on printed circuit boards (PCB). Due to their 2-dimensional structure and very limited design possibilities, these PCB antennas have severe shortcomings in terms of performance. 3-dimensional waveguide antennas are a promising alternative, significantly reducing transmission losses and increasing bandwidth. However, the established design of waveguide antennas is based on a split-block approach, which means that several parts are assembled and manufactured mainly by injection moulding. Both factors are limiting the performance of waveguide antennas and therefore radar sensors. To overcome this limitation, Golden Devices has developed a unique manufacturing process based on 3D printing and a proprietary metallization concept. Unlike the split-block process, Golden Devices manufactures the waveguide antennas in one piece. This provides numerous essential advantages in terms of technical performance,
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 Horizon 2020 proposal on 'Chemical probing of transcriptional RAS effectors'.

assistant: **Concept**

Targeted therapies have been widely used in tumors driven by RAS oncogenes. Unfortunately, no effective RAS inhibitors have been translated to the clinic, and attempts to block other signaling nodes usually fail due to the emergence of drug resistance. Chromatin dependent signal transduction and transcription are a point of confluence of multiple signaling networks elicited by hyperactive RAS. Hence, pharmacologic disruption of gene-regulatory dependencies imposed by mutant RAS represents an attractive therapeutic interface less prone to the emergence of resistances. The urgent clinical need of RAS-related therapies is well exemplified by pancreatic cancer, one of the most aggressive and deadly cancers, which will be the disease background of my studies.Using the innovative approach of targeted protein degradation, I want to characterize and understand the consequences of acute mutant KRAS degradation on chromatin remodeling and transcription. Further engineering the models of acute KRAS degradation will enable to devise cellular reporters of KRAS-dependent chromatin regulation amenable to high-throughput phenotypic drug and genetic screens. Coupled to a facile readout via high-throughput microscopy, these screens will allow me to identify molecules and genetic perturbations that interfere with KRAS-dependent, transcriptionally active chromatin. Lead molecules will be characterized for the underpinning mechanism of action and assessed for therapeutic potential. Building on already existing experimental and computational pipelines in the Winter laboratory at CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, this project will increase the understanding of transcriptional control elicited by oncogenic KRAS and could open new avenues for the 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: Write the 'Expected Impact' section for the project 'Exploring the universe with cosmic microwave background non-Gaussianity' (CMB-NONGA-NOR), addressing dissemination and exploitation.

assistant: **Impact**

According to most present theories, the universe originated 12-15 billion years ago in the Big Bang. About 300 000 years after, the universe became transparent in the so-called recombination era. Before that time, a dense mixture of ionised gas and radiation was present in every part of the universe but because of the free electrons, the radiation was continuously scattered.In the recombination era, electrons and protons combined to form the first atoms, and the radiation could freely stream. This radiation has survived to the present time and is called the Cosmic Microwave Background (CMB). As the CMB radiation originated in a very early epoch of the history of the cosmos, observing it can provide invaluable information about the physical processes, which took place during the birth of the universe.This project aims at developing statistical and mathematical methods to exploit the information about the early universe present in observations of the CMB. To achieve this, small deviations from a Gaussian distribution of temperature fluctuations in the CMB radiation will be exploited. In particular, the project aims at developing these data analyses methods for the European Planck satellite experiment, which is scheduled for launch in 2007.Its high sensitivity to the CMB could bring about a revolution in the field of high-energy physics and cosmology. The field of CMB research has been dominated historically by American experiments, and European researchers have had the possibility to analyse the data only after it has been released.Now that a European experiment is being prepared, it is crucial to keep scientists in Europe so that a critical mass can be reached, enabling full exploitation of the huge amount of cosmological data, which is expected to arrive after the launc
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 'Holistic and Optimized Life-cycle Integrated SupporT for Energy-Efficient building design and Construction' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

Despite recent evolutions of tools/practices in the Architecture Engineering, Construction and Facility Management have already resulted in considerable advances, some limitations remain, related to the complexity and variability of building life cycles, addressing building end user awareness and participation, lack of new business models, life cycle fragmentation, limited interoperability of the ICT supports.The main objective of HOLISTEEC is thus to design, develop, and demonstrate a BIM-based, on-the-cloud, collaborative building design software platform, featuring advanced design support for multi-criteria building optimization. This platform will account for all physical phenomena at the building-level, while also taking into account external, neighbourhood-level influences. The design of this platform will rely on actual, field feedback and related business models / processes, while enabling building design & construction practitioners to take their practices one step forward, for enhanced flexibility, effectiveness, and competitiveness.HOLISTEEC main assets are: (i) an innovative feedback /loop design workflow (ii) a multi-physical, multi-scale simulation engine; (iii) A unified data model for Building and Neighbourhood Digital Modeling (iv) a full-fledged open software infrastructure for building design tools interoperability leveraging available standards; (v) innovative and flexible user interfaces.HOLISTEEC is expected to have a direct impact at a marco level on the construction sector as a whole, through the following aspects: improved overall process efficiency, improved stakeholders collaboration and conflict resolution, lifecycle cost reduction, reduction of errors and reworks. These impacts will be quantitatively evaluated during the demonstration and va