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 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'Towards Innovative cost-effective astronomical instrumentation'.

assistant: **Innovation**

Enabling disruptive technologies has always been crucial to trigger revolutionary science discoveries. The daring challenges in astronomy and astrophysics are extremely demanding in terms of high angular resolution and high contrast imaging, and require extreme stability and image quality. Instruments based on current classical designs tend to get bigger and more complex, and are faced to ever increasing difficulties to meet science requirements.This proposal has the clear objective to propose breakthrough compact optical architectures for the next generation of giant observatories. The project focus on the niche of active components and is structured in two main research pillars to (I) enable the use of additive manufacturing (3D-printing) to produce affordable deformable mirrors for VIS or NIR observations, (II) pave the road for a common use of curved and deformable detectors. Extensive finite element analysis will allow to cover the parameter space and broad prototyping will demonstrate and characterize the performance of such devices. Both pillars are extremely challenging, the fields of detectors and optical fabrication being driven by the market. We will then orientate the activities towards a mass production method. To maximize the impact of this high gain R&D, the pillars are surrounded by two transverse activities: (i) design and optimization of a new zoo of optical systems using active mirrors and flexible detectors, and (ii) build a solid plan of technology transfer to end-user industrial companies, through a patenting and licensing strategy, to maximize the financial return and then perpetuate the activities. The pathway proposed here is mandatory to develop affordable components in the near future, and will enable compact and high performance instrumentati
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 'Fair predictions in health' under Horizon 2020.

assistant: **Concept**

In clinical care, machine learning is progressively used to enhance diagnosis, therapy choice, and effectiveness of the health system. Because machine-learning models learn from historically gathered information, populations that have suffered past human and structural biases (e.g. unequal access to education or resources) — called protected groups — are susceptible to damage from inaccurate projections or resource allocations, reinforcing health inequalities. For example, racial and gender differences exist in the way clinical data are produced and these can be transferred as biases in the models. Several techniques of algorithmic fairness have been suggested in the literature on machine learning to ameliorate the performance of machine learning with respect to its fairness. The debate in statistics and machine learning has however failed to provide a principled approach for choosing concepts of bias, prejudice, discrimination, and fairness in predictive models, with a clear link to ethical theory discussed within philosophy. The specific scientific objectives of this research project are:O1: ethical theory: mapping the ethical theories that are relevant for the allocation of resources in health care and draw connections with the literature in fair machine learningO2: probabilistic ethics: understand how standard moral concepts such as responsibility, merit, need, talent, equality, and benefit can be understood in probabilistic termsO3: epistemology of causality: understand if current claims made by counterfactual and causal models of fairness in AI are robust with respect to different philosophical understandings of probability, causality, and counterfactualsO4: application: to show the relevance these philosophical ideas by applying them to a limited number of paradi
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 'Improving health services for European citizens with dementia: Development of best practice strategies for the transition from ambulatory to institutional long-term care facilities', explaining its relevance to EU policy priorities under Seventh Framework.

assistant: **Impact**

Given the increasing number of patients/consumers with dementia, political action is urgently required to prepare the health care services throughout Europe to deliver cost effective high quality long-term care to people concerned. Currently there is a lack of clinical research data of patients/consumers and informal caregivers to develop best practice strategies for long-term care. RightTimePlaceCare intends to deliver best practice strategies for need-tailored dementia care throughout the dementia care sectors and aims to preserve best available health outcomes for both patients/consumers with dementia and their informal caregivers at affordable cost-benefit ratios. RightTimePlaceCare will describe and analyse the European health, social care and welfare systems, advocacy and informal caregiver support systems for patients/consumers with dementia and intersectorial communication. A European survey will assess the factors influencing the time of admission to institutional long-term nursing care facilities, investigate living conditions and gather clinical data of patients/consumers with dementia and their informal caregivers in long-term formal professional home care and institutional nursing care facilities, and the related economic impact. Consecutively best practice strategies will be developed for intersectorial arrangements needed to improve the effectiveness and efficiency of integrated health care in European dementia care systems, and recommendations for best practice models or interventions in long-term care facilities. RightTimePlaceCare will advance the state of the art in health systems research in dementia care and will improve cooperation between researchers to promote integration and excellence of European dementia care research. The knowledge generated
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 'Multitarget compounds with therapeutic potential against Alzheimer disease: Design and in vitro studies'.

assistant: **Objectives**

This fellowship will provide a prolific researcher with an internationally competitive, multi-disciplinary research training at the Chemistry/Biology interface in an EU leading Bioinorganic chemistry team, preparing her to obtain her goal of a faculty position in the EU and her own research team in Medicinal Chemistry.She will develop novel anti-Alzheimer conjugates that target multiple disease's hallmarks. Afterwards she will evaluate their in vitro therapeutic and diagnostic potential through a secondment with cell biologists in another EU country, the United Kingdom.  This research will pave the way towards the development of innovative and effective anti-Alzheimer drugs by using versatile drug combination approaches to fight this horrible and still incurable disease.Alongside her research she will also acquire research management, leadership, presentation and teaching skills to prepare her for a successful future as an independent research group leader.
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 'European Microbicides Project' goes beyond current state-of-the-art under Sixth Framework.

assistant: **Innovation**

This proposal aims to develop new topical microbicides that block entry of HIV at mucosal sites with the aim of establishing a pipeline of candidate microbicides while taking selected microbicides through Phase I clinical trial. The proposed programme will bring together leading European experts in this field to work on an integrated programme of research. Members of the consortium have extensive expertise in analyses of molecular structure,molecular interactions, investigation of mechanisms of HIV infection, testing efficacy in animal models, development of methods for large-scale production of microbicides, mucosal delivery and the conduct of clinical trials particularly in developing countries. The proposal builds on this strength and describes novel approaches to develop new microbicides. Novel molecules and combinatorial peptide, polypeptide and oligosaccharide libraries will be screend for inhibitors that are specifically targeted to viral envelope proteins or host receptors.Microbicidal efficacy of inhibitors will be rigorously tested in vitro and the most promising will be formulated and tested in animal models. The developmental process for candidate agents will be target-driven according to an established preclinical selection algorithm designed to fast track the most promising candidates and/or combination. This process will not be carried out in isolation from the rest of the International field, indeedparticular emphasis will be placed on development of compounds demonstrating synergistic activity with first generation compounds further ahead in the developmental process. The programme will operate like a virtual company allowing strategic developmental and budgetary decisions to be continuously reviewed. As well as identifying novel candidate microbicides,
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 'From solar energy to fuel: A holistic artificial photosynthesis platform for the production of viable solar fuels' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

REFINE develops and demonstrates a system of artificial photosynthesis by combining both dark and light-dependent reactions for the direct production of high energy density and essential chemicals, such as alcohols. To achieve this, a direct hydrogen storage into hydrocarbons through CO2 capture and transformation in an advanced bio-refining system is proposed. In this, hydrogen produced by water photoelectrolysis is combined with captured CO2 and directly fed to biocultures that selectively produce isopropanol and butanol as high energy solar fuels, and the only energy input to drive this radical technological system is sunlight. To realise and bring to the market such a system of artificial photosynthesis it is necessary to converge the fields of materials science, biotechnology, engineering and social sciences. The project organisation is multicentred and operates at different levels; from raw materials supply considerations, societal acceptance, materials engineering and nanostructuring to device assembling and applicability. The true converging nature of REFINE provides a holistic, ground-breaking approach that addresses major challenges of our modern societies such as the extensive CO2 emissions and inability for efficient and widely accepted CO2 recycling. The vision in REFINE extends well beyond the 4-year activities proposed in this application. Still, REFINE is the seed for a multidimensional approach to critical scientific and societal challenges.


**Keywords:** artificial photosynthesis, carbon capture and utilization, butanol, energy, fuels, solar fuels
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 'Cloud-TM: A Novel Programming Paradigm for Cloud Computing' to be submitted under Seventh Framework.

assistant: **Abstract**

Cloud Computing has emerged as a new paradigm for deploying, managing and offering services through a shared infrastructure. The foreseen benefits of Cloud Computing are very compelling both from a cloud consumer and from a cloud services provider perspective: freeing corporations from large IT capital investments via usage-based pricing schemes; leveraging the economies of scale for both services providers and users of the cloud; easing the deployment of services.<br/>One of the main challenges to materialize these perceived benefits is to identify innovative distributed programming models that simplify the development of Cloud-based services, allowing for ordinary programmers to take full advantage of the seemingly unbounded amount of computational power and storage available on demand in large scale Cloud infrastructures.<br/>This project aims at designing, building, and evaluating an innovative middleware platform for service implementation of Cloud-based services: Cloud-TM (Cloud-Transactional Memory).<br/>Cloud-TM offers a simple and intuitive programming model for large scale distributed applications that integrates the familiar notion of atomic transaction as a first-class programming language construct, sparing programmers from the burden of implementing low level, error-prone mechanisms (e.g. locking, persistence and fault-tolerance) and permitting major reductions in the time and cost of the development process.<br/>Cloud-TM will embed a set of autonomic mechanisms to simplify service monitoring and administration, a major source of costs in dynamic and elastic environments such as the cloud.These mechanisms aim at ensuring the achievement of user defined Quality of Service levels at minimum operational costs by automating the provisioning of resources from 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: Describe the novelty, innovation potential and advance beyond the state of the art for 'MILDTECH- Low cost, low temperature, rapid and energy efficient dual frequency microwave assisted vacuum system for drying and cooking foods' (MILDTECH).

assistant: **Innovation**

Freshseal Ltd. is a UK based food and catering equipment company that aims to scale up and bring to market a low cost, low temperature (mild), fast and energy efficient microwave vacuum drying and cooking system that will be commercialised in the EU and global food processing and catering industries. Thanks to the completed FP7 MILD-DRY project, we have successfully demonstrated the system in a relevant environment (TRL6). Our intention now is to build on these pre-industrial results in order to scale up the technology for systematic industrial exploitation. On the one hand our versatile MILDTECH equipment will be capable of drying high value, heat sensitive foods requiring reduce drying times (40% quicker than conventional microwave vacuum dryers), resulting in lower energy (up to 80% reduction in energy consumption) and running costs, increased product throughput, as well as preservation of the nutritional value and improved quality of heat sensitive dried foods compared to conventional drying methods. On the other hand, it will be capable of reduced cooking times (e.g. while chickens can be cooked in 17 minutes vs. 1.5 hours), under a lower heat than conventional ovens resulting in less moisture loss compared to conventional ovens leading to less weight loss (10-15% savings), and at an equipment cost that is cheaper than a conventional Microwave Vacuum dryer. Our business plan is to commercialize the equipment in the global food processing industry with an industrial scale machine (3m x 1.4m x 2m) that will be targeted to food drying companies, as well as a smaller kitchen safe unit (1.4m x 1.2m x 2m) that will be targeted to catering establishments. The market potential of our new food drying/cooking equipment in the global market will be very high; we have initiall
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 'Innovative lightweight sustainable solutions for additively manufactured aircraft interior parts' (3DTRAY) targeting Horizon 2020.

assistant: **Abstract**

As resource efficiency becomes an increasingly important factor in the aviation industry, there is an ongoing search in Europe for more innovative solutions to reduce fuel consumption and contaminant emissions. The goal of the overall innovation project is to bring to market additively manufactured (AM) aircraft interior parts with lower weight (above 20% reduction) than traditional parts, through an innovative design. Replacing this product on a large European fleet could save per annum more than 640.000 € on fuel and reduce CO2 emissions on more than 2.200 metric tons. Other major savings on taxes for emissions, warehouse and logistic costs, and on more efficient business and operations processes will also be achieved.Potential users are airlines, maintenance organisations and aircraft and seat manufacturers. Customers benefit from cost reduction, increase of turnover or gain competitive advantage through products and processes optimization. Needs that will be fulfilled are lightweight parts, alignment of offer to demand, customization, faster R&D cycles, shorter manufacturing times, cost-effective low volume series production and delocalization of production.Preliminary market studies show that no similar solutions are offered by SMEs in Europe. After initial pricing analysis we could offer prices similar to traditional ones. For a single product type (aircraft economy tray table), we foresee an annual turnover of 25m€ after 5 years of commercialization in Europe, with a 4% global market share, recruiting 23 employees.Outcome of phase 1 should deliver a strong and viable proposition for commercialization for targeted users, including potential partners for supply chain, certification roadmap, IPR considerations, financial accurate forecasts and commercial strategy.
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 'Signal processing and Learning Applied to Brain data'.

assistant: **Objectives**

Understanding how the brain works in healthy and pathological conditions is considered as one of the challenges for the 21st century. After the first electroencephalography (EEG) measurements in 1929, the 90’s was the birth of modern functional brain imaging with the first functional MRI and full head magnetoencephalography (MEG) system. In the last twenty years, imaging has revolutionized clinical and cognitive neuroscience.After pioneering works in physics and engineering, the field of neuroscience has to face two major challenges.The size of the datasets keeps growing. The answers to neuroscience questions are limited by the complexity of the signals observed: non-stationarity, high noise levels, heterogeneity of sensors, lack of accurate models.SLAB will provide the next generation of models and algorithms for mining electrophysiology signals which offer unique ways to image the brain at a millisecond time scale.SLAB will develop dedicated machine learning and signal processing methods and favor the emergence of new challenges for these fields. SLAB focuses on five objectives: 1) source localization with M/EEG for brain imaging at high temporal resolution 2) representation learning to boost statistical power and reduce acquisition costs 3) fusion of heterogeneous sensors 4) modeling of non-stationary spectral interactions to identify functional coupling between neural ensembles 5) development of fast algorithms easy to use by non-experts.SLAB aims to strengthen mathematical and computational foundations of brain data analysis. The methods developed will have applications across fields (computational biology, astronomy, econometrics). Yet, the primary impact of SLAB will be on neuroscience. The tools and high quality open software produced in SLAB will facilitate the