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 a compelling abstract for 'Better Rural Innovation: Linking Actors, Instruments and Policies through Networks' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

LIAISON aims to make a significant and meaningful contribution to optimising interactive innovation project approaches and the delivery of EU policies to speed up innovation in agriculture, forestry and rural areas. Researchers, policy advisors, actors from interactive innovation projects, initiatives and networks, farm/forestry advisors, decision-makers and administrators will jointly investigate the design and implementation of interactive innovation project approaches. Looking with the eyes of a larger number of interactive innovation initiatives we will assess the infrastructure of H2020 and Rural Development Programmes at the project, national and European levels. Central in the project are a 'light-touch' review of the experiences in 200 projects and initiatives, and an in-depth assessment of 32 interactive innovation project approaches in a broad range of agricultural and forestry sub-sectors and countries. We will present the diversity of projects and practices through an online 'story map' with entries from all over Europe and select 15 practitioners from innovation projects who will contribute to the project's analyses and outcomes. LIAISON will produce practice-ready methods, protocols and tools, co-designed in processes involving the target users themselves. These include participatory tools for co-creation and co-learning, for networking, communication and dissemination, impact assessment tools, and methodologies and tools for self-evaluation. An Interactive Online System will help innovation actors to access these. LIAISON will develop detailed best practices and approaches for H2020 multi-actor projects, Thematic Networks, Operational Groups and other interactive innovation approaches that contribute to the implementation of EIP-Agri. All project outputs
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 'Micromirror enhanced micro-imaging' (MEMI).

assistant: **Innovation**

An essential part of high-end optical microscopes is the ability to control various apertures and stops in both the illumination and imaging paths of these microscopes, in order to maximize the visualization of the objects under observation.  Traditionally, these controls are implemented by mechanical apertures, irises and pinholes in such applications as coherence control, darkfield microscopy and confocal microscopy.<br/>Modern applications of optical microscopy in such diverse areas as semiconductor metrology and imaging of living organisms will require more flexible and dynamic controls for these apertures:<br/>\tSemiconductor metrology requires structured illumination and spatial frequency filtering for enhancing the visual qualities of metrology targets.\tLive cell fluorescence microscopy is looking for a better definition of the illumination conditions to reduce photobleaching and light induced toxicity, in order to lengthen observation times.<br/>MEMS-based Micromirror Arrays (MMA) are today widely used in large-scale display devices.  Their configurability and dynamic control characteristics are also eminently suitable for visualization enhancement and new applications in optical microscopy.<br/>We are proposing a development project for adapting and integrating the MMA-technology into modern optical microscopes.  The project will start at the device level, customizing the MMAs for visualization enhancement of optical microscopes, and then dealing with the issues of optical and opto-mechanical compatibility between the MMAs and microscopes, enhancement of current capabilities, and definition of new applications.  Our team consists of an institute developing high-end MMAs, an optical system design and integration company, and end-users from the areas of semico
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 'Lee wave modification of polar stratospheric clouds at the Scandinavian mountain ridge' under Fourth Framework.

assistant: **Concept**

This project focuses on the creation, destruction, and modification of polar stratospheric clouds in air masses carried across a mountain ridge. The main objective of this project is to perform field measurements down and upstream of the northern Scandinavian mountains to search for generation, destruction, or modification of PSCs as the air parcels cross the mountain ridge. Air parcels will be identified from ozone density profiles (the chemical lifetime of ozone is long compared to the transport time through the region involved) and lee waves will be detected from small scale fluctuations in the ozone and temperature profiles. Correlations of lee-waves, PSCs, and wind patterns as revealed in meteorological fields will be studied.To achieve the objective ground-based, active-remote-sensing techniques, which provide altitude information  will be employed. An almost identical set of instruments on each side of the Scandinavian mountains, namely  backscatter, temperature, and ozone lidars, and MST radars as well as an array of zenith-looking cameras will  be located near the Arctic Circle west (on Andoya) and east (near Kiruna) of the Scandinavian mountain ridge.  The two stations are approximately 250 km apart and the intervening mountains rise as high as 2000m.  The backscatter lidars will detect and characterise the stratospheric particulate load, while the ozone lidars will  determine the ozone profiles. Temperature profiles will be measured by the rotational Raman technique even  in the presence of intense stratospheric clouds by the ALOMAR lidar; all backscatter lidars will derive  temperatures from the vibrational Raman signal based on the hydrostatic assumption in the case of optically thin  clouds. The MST radars will perform wind measurements in the upper tropos
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 'French MEDiterranean Support for INNOvative SMEs'.

assistant: **Innovation**

MED4INNO Project proposal is an extension of the MED2EUROPE Project financed under COSME Program for EnterpriseEurope Network activity in 2015/2016. The project covers the whole of the French Mediterranean area with 3 regions:Provence Alpes Côte d’Azur, Languedoc-Roussillon and Corsica (NUTS-1 FR7). The project will be carried out by 3partners in the 2 major regions (PACA and LR) :- Agence Régionale de l’Innovation et de l’Internationalisation des entreprises de la région PACA (ARII PACA) for ProvenceAlpes Côte d’Azur Region- Chambre de Commerce et d’Industrie de Région PACA (CCIR PACA) for Provence Alpes Côte d’Azur Region- Transferts LR for Languedoc-Roussillon RegionAs Corsica region is a small region with very few Growth SMEs, partners from PACA region will act as a relay in Corsica in close collaboration with the EEN Partner in Corsica.The project aims at to put in place a reinforced SME Service Support, named Service Package, dedicating to support the growth of promising companies involved in innovative projects or benefiting SME Instrument grants.MED4INNO Project matches perfectly the work program defined by the European Commission concerning its support to SMEs. European SMEs have demonstrated for several years that they pull European growth and that they are the backbone in Europe for innovation, investment and job creation. Unfortunately innovative SMEs are often too small or too young or less capitalized than any other companies to grow. The final impact of support service provided is similar to the objective of SME Instrument: to increase the competitiveness of our most promising SMEs.


**Keywords:** SME growth,  innovation management capacity,  diagnostics, SME Instrument
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 'Experimental Resource for the Investigation of dialogue procesSes' (ERIS).

assistant: **Innovation**

The primary goal of ERIS is training-through-research under supervision by two of the world's leading dialogue researchers. This will enable the fellow to expand his repertoire of experimental methods, including obtaining training in specific forms of experimental design, training in statistical analysis, complementary skills training, and exposure to new experimental problems at Stanford and Edinburgh. The vehicle for this training consists of an experimental programme that addresses key problems in dialogue research: the role of clarification requests, acknowledgements, disfluencies, alignment, semantic co-ordination and language change, in dialogue and multilogue.Central to this programme is the development and refinement of the use of text-based dialogue as an experimental methodology into a fully-integrated experimental resource that supports interdisciplinary collaboration between multiple research institutes. It will enable the fine-grained, context-sensitive manipulation of between- and within-turn phenomena of multi-party dialogue.The skills and knowledge acquired during the Outgoing phase, together with feedback from the international distribution network, will be incorporated into the experimental resource, which will include a repository of experimental tasks and interventions. On returning to Edinburgh, the experimental resource will be disseminated to the wider dialogue research community.
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 'Translating from Multiple Modalities into Text' to be submitted under Horizon 2020.

assistant: **Abstract**

Recent years have witnessed the development of a wide range of computational methods that process and generate natural language text.  Many of these have become familiar to mainstream computer users such as tools that retrieve documents matching a query, perform sentiment analysis, and translate between languages. Systems like Google Translate can instantly translate between any pair of over fifty human languages allowing users to read web content that wouldn't have otherwise been available. The accessibility of the web could be further enhanced with applications that translate within the same language, between different modalities, or different data formats.  There are currently no standard tools for simplifying language, e.g., for low-literacy readers or second language learners. The web is rife with non-linguistic data (e.g., databases, images, source code) that cannot be searched since most retrieval tools operate over textual data. In this project we maintain that in order to render electronic data more accessible to individuals and computers alike, new types of models need to be developed. Our proposal is to provide a unified framework for translating from comparable corpora, i.e., collections consisting of data in the same or different modalities that address the same topic without being direct translations of each other. We will develop general and scalable models that can solve different translation tasks and learn the necessary intermediate representations of the units involved in an unsupervised manner without extensive feature engineering. Thanks to recent advances in deep  learning, we will induce  representations for different modalities, their interactions, and correspondence to natural language. Beyond addressing a fundamental aspect of the translation p
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 'Enhanced design and manufacturing of high resistance casted parts', explaining its relevance to EU policy priorities under Fourth Framework.

assistant: **Impact**

The industrial objective of this project is to develop a new computational system tor enhanced design and production ot wide range of high strength casted components. The new computer based system will be based on improved existing computer methods for simulating the casting process integrating new material models, detect prediction models and fatigue life prediction models. The computer system will be validated by means of extensive experimental testing. The following tasks will form the core of the project activities: 1. Development of material models within a unified constitutive model framework and a database to characterise the casting process of carbon and stainless steel alloys, aluminium alloys and high strength cast irons. 2. Development of new defect prediction models and a database based on microstructure evolution and enhanced continuum constitutive relations. 3. Integration of material and defect models into existing numerical simulation codes for prediction ot residual stresses and defects at the end of the casting process. 4. Development and experimental validation of new fatigue life prediction models and database. 5. Integration and implementation of a computer based system for enhanced design high of strength castings. The system will be available at the end of the project for use within the partner's companies. 6. Industrial validation of the new computer based system on selected high strength casted components including an excavator tooth (steel alloy) manufactured by Partner 1, two aluminium alloy automotive parts (including one suspension arm) manufactured by Partners 2 and 4, a stainless steel valve for a food production machine and a SG cast iron component for a hydraulic pump manufactured by Partner 3. A schematic view of some of the components
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 'AI-powered embryonic phenotyping for accelerated drug discovery and toxicology' (EmbryoNet-AI) under Horizon Europe.

assistant: **Objectives**

The EmbryoNet-AI project seeks to transform drug discovery and toxicology testing by integrating advanced deep learning technologies to automate phenotypic analysis of embryos and organoids. Traditional drug testing methods rely heavily on animal models, which are time-consuming, costly, and often ethically problematic. EmbryoNet-AI offers a faster, more accurate, and comprehensive solution for evaluating the effects of compounds on biological development, thus significantly enhancing the efficiency of early-stage drug screening. The core innovation is EmbryoNet-AI's ability to analyze complex biological data with precision, providing insights into drug mechanisms that are not only quicker but also more reliable than current methods. This will ultimately reduce the need for animal models in drug testing, addressing both ethical and logistical concerns. The EmbryoNet-AI platform is poised to fill a critical gap in the pharmaceutical and biotech industries, offering a scalable, non-invasive approach that can be easily integrated into existing workflows. With the support of the ERC Proof of Concept grant, we will focus on the further development, validation, and commercialization of the EmbryoNet-AI platform. The project will involve refining our AI models through rigorous testing, building a prototype web interface for user interaction, and collaborating with industrial and academic partners to ensure the platforms practical utility. Additionally, we will explore intellectual property strategies and assess market readiness, paving the way for wide-spread adoption. By addressing the limitations of traditional phenotyping methods, EmbryoNet-AI aims to accelerate drug discovery, reduce costs, and promote more sustainable research practices in developmental biology and pharma
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 'Biosensing by Sequence-based Activity Inference' demonstrating excellence, impact and implementation quality for a Horizon Europe call.

assistant: **Abstract**

The ability of cells to sense and respond to signals is an essential requirement of life. Genetically encoded biosensors meet this need by detecting, for example, chemicals and triggering gene expression in response. This concept is used across the life sciences to sense molecules in basic research, diagnostics and treatment. Crucially, biosensors can be used to isolate and engineer microbes that sustainably produce value-added chemicals and thus play a key role in the transition to a circular economy. However, native biosensors are mostly unfit for synthetic applications in terms of molecules and concentrations they respond to. Moreover, little is known about the relationship between biosensor sequence and resulting function, which prohibits rational biosensor engineering and enforces tedious, often unsuccessful trial-and-error approaches.I propose to build a pipeline for the rational engineering of biosensors with tailored sensory properties to overcome these limitations. Building upon an ultrahigh-throughput DNA-recording technique we have recently invented, we will generate hitherto inaccessible datasets linking over 10^8 transcriptional and translational biosensor sequences with their sensory properties and use these data to train deep learning models that infer biosensor function directly from sequence. This will enable straightforward biosensor design, which we will capitalize on to build a versatile biosensing platform to specifically detect and discriminate molecules from three metabolic compound classes with high potential for bio-based production. Finally, we will apply designed biosensors to engineer new enzymes for CO2-fixation and build dynamic metabolic controllers to obtain superior bacterial strains for the production of flavors and pharmaceuticals. Our
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 'Symphera: Revolutionizing laparoscopic surgery through automated in-body tool switching' under Horizon Europe.

assistant: **Concept**

Laparoscopic surgery is a key part of modern medical care, offering benefits such as faster recovery, reduced pain, and lower infection risks. However, frequent manual instrument changes during procedures can lead to inefficiencies, consuming significant surgery time and contributing to increased operational costs for healthcare systems. These inefficiencies can also impact patient outcomes, contributing to delays, workflow disruptions, and increased risks for patients. The Symphera System aims to address these challenges by introducing an automated in-body instrument switching technology for laparoscopic surgery. The system is designed to transition between multiple instrument tips quickly, with the goal of supporting improved workflow and reducing instrument change times. By enabling more efficient instrument switching, the Symphera System seeks to help optimize surgical procedures, improve resource utilization, and streamline surgical workflows. As the project progresses, we aim to conduct in-human trials to validate safety and efficacy, ensuring the technology meets regulatory requirements and is aligned with medical standards. This will involve testing in simulated operating environments, finalizing the design, and scaling manufacturing to support clinical and regulatory submissions.


**Keywords:** Laparoscopic Surgery, Automated tool-switching, Multifunctional surgery device
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 'Analysis of gene expression in pain pathways' (1998-2002) under Fifth Framework.

assistant: **Objectives**

We will analyse novel gene expression in the major nociceptive relay nucleus in the brainstem following the establishment of a peripheral chronic pain state. The pathway extends from the spinal cord to the Para brachial area and is purely nociceptive. This approach will allow us to identify new targets for analgesics.