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: Draft an executive summary for the EU project 'RE-manufaCturing and Refurbishment LArge Industrial equipMent' (RECLAIM) targeting Horizon 2020.

assistant: **Abstract**

The vision of RECLAIM is to demonstrate technologies and strategies to support a new paradigm for refurbishment and re-manufacturing of large industrial equipment in factories, paving the way to a circular economy. Its ultimate goal is to save valuable resources by reusing equipment instead of discarding them. RECLAIM will support legacy industrial infrastructures with advanced technological solutions with built-in capabilities for in-situ repair, self-assessment and optimal re-use strategies. It will establish new concepts and strategies for repair and equipment upgrade and factory layouts’ redesign in order to gain economic benefits to the manufacturing sector. The technological core of RECLAIM is a novel Decision Support Framework that guides the optimal refurbishment and re-manufacturing of electromechanical machines and robotics systems. The framework uses IoT sensors, novel prediction, and process optimisation techniques to offer machine lifetime extension and thus increased productivity. Innovative fog computing and augmented reality techniques are combined with enhanced health monitoring and failure inspection and diagnosis methodologies that enhance the effective use of materials, improve maintenance capabilities and eventually, drastically increase the return of investments (ROI). RECLAIM re-use approach also fosters servicing and upgrading of legacy equipment. For that, European machinery industry will move from an equipment-based business to a value-added business, where equipment servicing and equipment knowledge are main business drivers. RECLAIM solution will be demonstrated in five real industrial environments to evaluate the lifecycle of the industrial equipment and show the feasibility of the approach for integration and scale-up to other industrial se
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 'Sentinels Synergy for Agriculture' in the context of a Horizon 2020 call.

assistant: **Objectives**

In the emerging Copernicus Earth monitoring era, Europe provides Earth Observation (EO) data from Sentinel-1 (S1) and Sentinel-2 (S2) on a free and open data policy basis. In response of the EO Work programme ‘EO-3-2016: Evaluation of Copernicus Services’, Sentinels Synergy for Agriculture (SENSAGRI) aims to exploit the unprecedented capacity of S1 and S2 to develop an innovative portfolio of prototypes agricultural monitoring services. When used alone either optical or radar sensors allow the mapping of crop types. However more robust, accurate, frequently updated and comprehensive crop maps are expected from the seldom exploited synergy of both types of measurements. The same holds when dealing with crop status, health and stresses. Experimental studies have demonstrated that fusion of optical and radar data opens up prospects for enhanced monitoring capabilities. SENSAGRI will exploit the synergy of optical and radar measurements to develop three prototype services capable of near real time operations: (1) surface soil moisture (SSM), (2) green and brown leaf area index (LAI) and (3) crop type mapping. These prototypes shall provide a baseline for advanced services that can boost the competitiveness of the European agro-industrial sector. SENSAGRI proposes four advanced proof-of-concept services: (i) yield/biomass, (ii) tillage change, (iii) irrigation and (iv) advanced crop maps. The algorithms will be developed and validated in four European agricultural test areas in Spain, France, Italy and Poland, which are representative of the European crop diversity, and their usefulness demonstrated in at least two non-European countries. In order to refine the specifications of the products and to iteratively assess the services, actors of the agricultural sector will be in
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 'RESIlience enhancement and risk control platform for communication infraSTructure Operators'.

assistant: **Innovation**

Communications play a fundamental role in the economic and social well-being of the citizens and on operations of most of the CIs. Thus they are a primary target for criminals having a multiplier effect on the power of attacks and providing enormous resonance and gains. Also extreme weather events and natural disasters represents a challenge due to their increase in frequency and intensity requiring smarter resilience of the Communication CIs, which are extremely vulnerable due to the ever-increasing complexity of the architecture also in light of the evolution towards 5G, the extensive use of programmable platforms and exponential growth of connected devices. The fact that most enterprises still manage physical and cyber security independently represents a further challenge. RESISTO platform is an innovative solution for Communication CIs holistic situation awareness and enhanced resilience (aligned with ECSO objectives). Based on an Integrated Risk and Resilience analysis management and improvement process availing all resilience cycle phases (prepare, prevent, detect, absorb, etc.) and technical resilience capabilities (sense, model, infer, act, adopt), RESISTO implements an innovative Decision Support System to protect communication infrastructures from combined cyber-physical threats exploiting the Software Defined Security model on a suite of state of the art cyber/physical security components (Blockchain, Machine Learning, IoT security, Airborne threat detection, holistic audio-video analytics) and services (Responsible Disclosure Framework) for detection and reaction in presence of attacks or natural disasters.Through RESISTO Communications Operators, will be able to implement a set of mitigation actions and countermeasures that significantly reduce the impact 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: Compose a compelling abstract for 'Dissecting the molecular basis of deleterious genetic interactions involving naturally occurring alleles in Arabidopsis' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

Natural genetic variation within populations largely determines phenotypic variation and is increasingly recognized as a critical factor in such diverse contexts as crop productivity or human disease susceptibility. For instance, diseases can be considered as quantitative traits, with disease occurring beyond a certain boundary along a spectrum. Whether a given allele confers a disease burden can depend on environmental factors, but also on the presence of particular alleles at other loci. Thus, natural allelic variants that by themselves are a priori not deleterious can have strong synthetic effects when combined. In the extreme, such genetic interactions can lead to hybrid sterility or breakdown, processes which are thought to drive reproductive isolation and thus initiate speciation. Despite their importance, the extent and nature of such natural genetic interactions in multicellular eukaryotes remains largely unknown. Here, we use the model plant Arabidopsis thaliana to study two cases of genetic incompatibility, leading to synthetic infertility and lethality, respectively. These phenotypes were recovered by chance in crosses between hy5 hyh double mutants and the brx mutant and result from complex, background-dependent genetic interactions. Importantly, the high frequency of the novel phenotypes suggests that they do not represent double or triple mutants between the hy5, hyh or brx loci. Rather, initial genetic mapping indicates that the phenotypes are due to genetic interactions involving two wild type background-specific alleles at novel loci. The primary aim of the proposed research is to isolate these alleles by map-based cloning and use this information to decipher the molecular genetic basis of the observed phenotypes. We expect that this work will establish
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 'Investigating Hereditary Cancer Predisposition – a combined genomics approach' (IHCAP) targeting Seventh Framework.

assistant: **Abstract**

Background: Hereditary cancer is an important cause of morbidity and mortality and over the last 20 years, the majority of highly penetrant risk alleles such as BRCA1, BRCA2 in breast cancer and APC, MLH1, MSH2 in colon cancer have been identified. However, there are many men and women who have a strong family of cancer for whom we cannot provide answers because no mutation is found in known genes.Objectives:   i) To identify new candidate breast cancer susceptibility loci by an innovative combination of exome sequencing technology and genome-wide allele-specific expression analysis of  BRCA1/2-negative women with strong family histories of BC. This approach will be complemented by exomic sequencing of carefully selected matched cohorts of women with unilateral and bilateral breast cancer on whom extensive demographic and clinical data is available. ii) To study selected gene candidates in more detail at the DNA, RNA and protein level. iii) To apply the knowledge gained in the genomic study of breast cancer to other cancer predisposition syndromes.Significance: At present, the new combined approach of EST and ASE has several advantages over the alternative option of whole genome sequencing in the identification of rare functional variants; not only will EST plus ASE be cheaper and faster than a whole genome sequencing approach, but it will also allow us to explore the potentially unappreciated roles of allelic silencing (through regulatory or epigenetic variants) in cancer susceptibility, which would not be captured using genomic sequencing in isolation. We will commence the project with breast cancer families and then apply the same approach to other types of hereditary cancers. This proposal is focused on individuals who face a truly high risk for cancer but for whom
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 Europe proposal on 'The sociocultural formation of prices in Mongolian medicinal plant supply chains'.

assistant: **Innovation**

This action, PLANTECON, based at SINOFON, a research centre unit hosted by the Department of Asian Studies, Palacky University, aims to investigate the sociocultural formation of price along Mongolian medicinal plant (MP) supply chains. Within recent history, and intensively since the spread of Sars-Cov-2, MP supply chains--trade networks that move a product from its site of origin to a consumer market--have proliferated across Central Asia. In Mongolia, otherwise-unemployed poor rural populations gather wild-growing plants and sell them at negotiated prices--the agreed-upon economic value that solidifies the exchange of the plant from one actor to another--into trade networks that move the plant to consumers in urban Mongolia or China. The action has the following objectives: 1) identify the breadth and extent of the proliferating MP trade in two plants, Fang Feng and Liquorice Root, in Mongolia; 2) identify the diverse sociocultural factors that impact price negotiations in situ, following the process of price formation across a chain to identify how sociocultural considerations affect prices in the aggregate; and 3) establish the equitability potential of MP supply chains as rural development strategy. Academically, this action will advance economic anthropology on pricing; and environmental, medical anthropology on the globalised traditional medicinal plant trade with potential for future cross-geographic ERC or Twinning grant proposals. Economically and culturally, the action will draw attention to the booming, unregulated medicinal plant trade in Central Asia to increase cultural heritage and plant conservation action, but also inspire international funding bodies to either design value chain development projects that are equitable to rural populations or consider
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 'BigDecisions – Data-driven decision making with cryptographic confidentiality' to be submitted under Horizon 2020.

assistant: **Abstract**

Our objective in this innovation project is to disrupt data brokerage and analytics industries by introducing Sharemind, a security technology that enables previously impossible data analysis applications.Sharemind solves the problem where an organization wants to learn something from confidential data owned by a number of other people or organizations. Sharemind allows the data owners to protect their information during the analysis so that any leakage is controlled with machine-enforced means.For example, banks, retailers and governments can collect and share customer/citizen information without compromising privacy. Sharemind encourages rational behaviour in a society.By removing the barriers from information sharing, Sharemind lets governments, companies and researchers reach their full potential and become more efficient.We have validated this capability in multiple real-world prototypes and have achieved legal breakthroughs that make Sharemind a promising technology for Europe.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Safe and Trusted Human Centric Artificial Intelligence  in Future Manufacturing Lines' to be submitted under Horizon 2020.

assistant: **Abstract**

AI systems in industrial plants must be safe, trusted and secure, even when operating in dynamic, unstructured and unpredictable environments. STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe reliable and trusted human centric AI systems in manufacturing environments. STAR will research and make available to novel technologies that will enable AI systems to acquire knowledge in order to take timely and safe decisions in dynamic and unpredictable environments. Moreover, it will research technologies that enable AI systems to confront sophisticated adversaries and to remain robust against security attacks. STAR’s will research and integration leading edge AI technologies with wide applicability in manufacturing environments, including:•Active learning systems that boost safety and accelerate the acquisition of knowledge.•Simulated reality systems that accelerate Reinforcement Learning (RL) in human robot collaboration scenarios.•Explainable AI (XAI) systems that boost the transparency of industrial systems and increase the trust on them.•Human Centric digital twins enabling worker monitoring for safer and trustful production processes.•Advanced RL techniques for optimal navigation of mobile robots and for the detection of safety zones in industrial plants.•Cyber-defence mechanisms for sophisticated poisoning and evasion attacks against deep neural networks operating over industrial data.These technologies will be validated in challenging scenarios in manufacturing lines in the areas of quality management, human robot collaboration and AI-based agile manufacturing.  STAR will eliminate security and safety barriers against deploying sophisticated AI systems in production lines. The results will be
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 'Developing Machine Learning Classifier Models for Eye Movements to Diagnose Major Psychiatric Disorders' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

1 in 5 of us are affected by mental illness during our lifetime. It is the largest cause of disability worldwide costing the global economy a staggering US$2.5 trillion per annum and rising to US$6 trillion per annum by 2030. Although illness specific treatments are available, doctors are struggling to provide accurate and timely diagnosis with misdiagnosis occurring more than half the time. Currently, when patients’ history, symptoms and behaviour don’t meet the criteria set out in the diagnostic manual, it may take up to 10 years to diagnose the illness. And unlike in other branches of medicine there are no objective tests in psychiatry to aid the diagnostic process. SaccScan is a novel point-of-care (PoC) software diagnostic system which has been demonstrated to detect schizophrenia with better than 95% accuracy and can be extended with the same precision to other major psychiatric conditions. The software diagnostic tool successfully utilises eye-movement abnormalities as clinical diagnostic biomarkers for serious mental illnesses. The test can be performed within 30 minutes in a standard consulting room environment and results produced over the internet at near realtime speed. Early economic modelling showed that introducing SaccScan into health care services could produce savings of €33 474 per patient in the case of suspected schizophrenia. The purpose of this SME Innovation Associate application is to identify a post-doctoral talent from across the EU to help develop next generation models within the SaccScan diagnostic system in order to increase the clinical utilities of the test by the identification and implementation of new eye movement biomarkers which in turn will extend the test to other illness categories.
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 'Comparison of regulatory sequences of polyhomeotic and its human homologs inchromatin activity in drosophila' under Fourth Framework.

assistant: **Concept**

Research objectives and content Objective A: To develop improved site specific recombinase based strategies for targetted chromosomal integration of DNA in Drosophila. This will enable the problem of genomic position effects in the analysis of chromatin mediated regulation to be overcome. Objective B: To use the above targetting strategy for the comparison, at the same integration locus,of regulatory regions of the Drosophila gene polyhomeotic and its human homologs.The isolation and characterisation of higher eukaryotic homologs of Drosophila Polycomb group (PcG) and trithorax group (trxG) genes has shown that chromatin mediated mechanisms of silencing and activation appear to be broadly conserved throughout evolution. In Drosophila, the polyhomeotic gene, itself a member of the PcG, is regulated by PcG and trxG products. I propose an analysis of the regulatory regions of human homologs of po-eotic (HPHI and HPH2), and comparison with those of the Drosophila gene, based on assays in Drosophila for chromatin silencing and activation. Training content (objective, benefit and expected impact) I will learn techniques in Drosophila genetics and the analysis of chromatin activity in Drosophila. Benefit / impact This new training in combination with my experience in biochemistry and molecular biology, and my familiarity with site specific recombinase technology, will give me a powerful range of skills with which to study mechanisms of chromatin regulation. Links with industry ! industrial relevance (22)