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: Describe how 'Bosolog – Multi-sensors and Assets' Log Monitoring and Management Software' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

The Internet of Things (IoT) is foreseen to enable similar changes as the Internet revolution, making the physical world aseconomically liquid, personalized and efficient as the digital one. The Industrial Internet of Things (IIoT) – IoT in industrialapplications – is arguably the biggest driver of productivity and growth in the next decade, forecasted to add up to US$14.2trillion to the global economy by 2030.Bosolog Aps has developed a smart solution that targets existing, unmet needs in the IIoT booming market – an innovativesystem for real time monitoring of business critical and/or valuable equipment from the manufacturer to the end-user, bothduring storage transportation, and at the user site. Our innovative concept encompasses elements such as: fully automatedbusiness logics, accurate mapping; real-time monitoring of several parameters and personal alerting by exceptions;proactive maintenance; and support to tactical and operational decision-making.Despite the successful initial demonstration (that led to TRL6), several risks and technology barriers remain concerning thereliability and scalability of the solution. Particularly, there is a great need for demonstration in operational environments toopen up new markets. Bosolog firmly believes that a two-phase approach under EU-funding is the ideal scenario, in order toinitially assess the market for concept feasibility before initiating the innovation project.Bosolog estimates (for a specific customer using our technology) up to €1 million in annual cost savings, through an increasein equipment productivity, workforce efficiency, and equipment lifetime; as well as by reducing equipment defects, downtime,inventory costs, and unplanned outages.Moreover, the successful implementation of Bosolog will also significantly
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 'Proteome diversification in evolution' (PROMISE).

assistant: **Innovation**

Proteins are essential and incredibly versatile actors for all biological processes in living organisms. Massive amounts of data describing their amino acid sequences and 3D shapes are now openly accessible. Yet, we still know little about how they interact and function with one another in vivo. Nor how they diversified throughout evolution to orchestrate highly specialised behavioural traits.   This ERC CoG proposal, PROMISE, meets the urgent need for decrypting protein sequences and structures toward guiding biological intervention. It will assess and harness the protein variations naturally occurring in multi-cellular organisms to unlock critical questions across developmental, evolutionary, and molecular biology:  - What are the sites in a protein crucial for selecting its cellular partners and binding to them? How can they be modified toward modulating protein functioning?     - How did the proteomes responsible for the ability of humans and zebra finches to learn ""language"" from their peers expand in evolution? Are there convergent amino acid patterns, beyond the striking analogies in the underlying anatomical structures and in gene expression and regulation?  PROMISE will leverage the tension between evolutionary divergence, gene duplication, and alternative splicing by combining massive high-throughput protein-related data integration and cutting-edge artificial intelligence techniques. It will bring a paradigm shift on assessing protein diversity and its impact on rewiring interaction networks in evolution. The expected results will provide efficient and scalable solutions to extract biological meaning from big data and transform it into interpretable and actionable models. This new knowledge will be transferable to a broad range of impactful societal issues,
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 'Stochastic modelling of speech motor control' (1994-1998).

assistant: **Concept**

Research objectives and content The development of mathematical models of speech motor control is important in understanding and representing sources of phonetic variability during speech production. Although databases of articulatory measurements are available, and detailed physiological models have been proposed, little progress has been made in evaluating competing model hypotheses on experimental data, due to the lack of appropriate mathematical estimation procedures for fitting model parameters automatically to physical measurements. The research described in this proposal aims to develop a statistical framework for training, testing, and analysing stochastic models of speech production using physical data. Algorithms for recovering model parameters and control variable trajectories directly from articulatory measurements will be derived, drawing on similar results in speech recognition developed as part of the applicant's doctoral thesis. The results will be applied to the equilibrium-point model of motor control developed by the host institute, and evaluated on corpora of articulatory data. Training content (objective, benefit and expected impact)  The applicant will gain experience in constructing computational models of motor control, and will receive training in the associated experimental methodology. The project will be of considerable benefit in establishing a useful collaboration between British, French, and Canadian researchers in speech production and recognition. Links with industry / industrial relevance (22) Not applicable.
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 commercial exploitation of mentorship programme outcome intelligence in the global corporate and university market.'.

assistant: **Concept**

The MentorPitch platform www.mentorpitch.com is highly disruptive in a global mentoring context. It is the first platform to automate the management and measurement of large scale mentoring programmes. MentorPitch measures the outcomes of mentoring programmes in a corporate and education environment.  MentorPitch is a Software as a Service (SAAS) cloud-based business. The platform automates the management and measurement of mentorship programmes, thereby reducing the administration time of managing a programme. It is impossible for humans to manually manage and measure the outcomes of large scale mentorships that occur in a mentoring programme. Corporate and university mentoring programme managers face one common problem – how to manually manage a mentoring programme and capture the outcomes of all the mentorships in a specific programme. Our objectives for this project are:1) To commercially validate the outcome intelligence for university student-alumni mentoring programmes and workplace (multinational/corporate) mentoring programmes. We will do so by engaging closely with our current customers (Dublin City University, Transterra Media) and pipeline customers (University of Warwick, INSEAD, HEC Paris, Harvard Business School and corporate mentoring customers) to develop and capture outcomes using our in-house developed technology for large scale mentorship programmes. 2) The mentor-mentee matching algorithm (based on common skills areas, skills to develop, work experience, education, location and availability), will be developed further and tested to take into account the outcomes of previous mentorships.3) Prepare a complete Phase 2 business and commercialisation plan, suitable for an SME-Instrument Phase 2 application, including a localisation plan. In phase 2 we pl
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 'Enriching the Green and Blue Transition Research and Training Network by Working Together through the New European Research Area' (ENRICH-TOGETHER) targeting Horizon Europe.

assistant: **Abstract**

Middle East Technical University (METU), Turkey’s leading research university, is promoting research in Green and Blue Transition via an international postdoctoral fellowship programme with incoming mobility to Turkey. ENRICH-TOGETHER provides a timely opportunity for METU to enhance the international mobility element of its national programme by offering 20 researchers prospects to diversify their individual competence with advanced research facilities; international, interdisciplinary and intersectoral mobility opportunities; and tailor-made training (13 compulsory cross-cutting, 15 elective transferrable skills courses) and career development, all enriched with the capacities of implementing and associated partners. Selection is based on 2 open calls, bottom-up proposal development, 60+ supervisors to choose from and OTM-R policy. Attractive working conditions are provided for 24 months in a work/life balanced campus. Fellows deepen their knowledge and expand their network via secondments, CoCreation events, an International Green and Blue Transition World Congress; all of which unite the ENRICH-TOGETHER community (12 countries) of one implementing partner - METU-GÜNAM, and 17, 5, 4 and 2 associated partners from academia, industry, NGOs and governmental bodies, respectively. The tailor-made DEC plans of Rs will exploit the vast array of opportunities provided by the support offices of METU. ENRICH-TOGETHER (i) provides a unique experience for next generation Green and Blue Transition researchers able to translate scientific breakthroughs to benefit European society and economy; (ii) reinforce METU’s and partner organizations’ position and visibility at a global level; and (iii) strengthen Europe's human capital base in R&I. The co-creative environment of ENRICH-TOGE
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 'Evaluating housing and neighbourhood initiatives to improve the quality of life of deprived urban neighbourhoods and assessing their transferability across europe (NEHOM)' (NEHOM).

assistant: **Concept**

TSER projects of the 4th Framework programme documented trends of urban deprivation related to stigmatised housing neighbourhoods, which are threatening social cohesion, economic viability and thus the quality of urban life. Different national/local models of housing policies, planning and management of neighbourhood housing have proved to be effective in combating these trends. Comparative analyses of innovative models and evaluation of their transferability are, however, lacking. Based on analyses of innovative neighbourhood solutions we will provide a handbook/CD-rom database of national and local effective solutions containing guidelines on transferability. The work will be undertaken in close contact with participating housing companies, city administrations and resident organisations.
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 'Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective' (TUAI), addressing dissemination and exploitation.

assistant: **Impact**

The focus of the TUAI project will be on the highest quality doctoral training on sustainable the AI that is used in smart manufacturing, smart cities, smart healthcare and smart mobility. This will be achieved by multilateral academic and industry trainings for a new generation of creative, entrepreneurial and innovative researchers  Doctoral Candidates (DCs), who will be able to face both the current and future challenges that are associated with the development of Machine Learning (ML) and who will be able to effectively use the latest advances in artificial intelligence and data mining in order to ensure the competitive advantage of the European producers that will use the practical solutions from the TUAI project. The project will focus on ML-based smart services that should first meet the customers needs but with the same importance should focus on protecting the natural environment by creating smart services dedicated for smart mobility, to reduce energy consumption by smart cities and to avoid the losses and suboptimal use of resources in smart manufacturing. The scope of the research will be organised under four research areas (RA): (i) Time Series Analysis, (ii) Sensor Fusion, (iii) Federated Learning and (iv) the sustainability and trustworthiness of the AI solutions. The precise challenges for each RA will be expressed by research questions (RQ), which will be resolved by the individual DC projects. The RQs will not be separate areas of research but will be complementary and intertwined components. Therefore, it is not sufficient to train DCs in one RA and ignore another. The TUAI project will provide holistic research training through secondments and network-wide training activities. The proposed approach will ensure excellent research training for the thir
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 'A Modular system for Multivalent application in Experimental stations of different radiation sources' (MULTEX), addressing dissemination and exploitation.

assistant: **Impact**

The use of synchrotron radiation (SR) technology as a production tool for microsystem technology and materials research is presently limited to specifically constructed experimental accelerator facilities. The large number of individual beamline solutions developed for specific applications at sources like DESY, BESSY or the ESRF impede the broader use of synchrotron radiation for applications in micro-manufacturing and analytical processes and as a result slows growth in microsystem technology.Important elements of synchroton stations are outlet systems (such as dipole vacuum chambers) and beamlines for the extraction of particular beams form the accelerator. These components form the necessary link between radiation source and experiment and are manufactured specifically for each experiment. The manufacture of many of these components for SR facilities is increasingly being carried out by SMEs, thus introducing new high-technology engineering skills to the market.In the MULTEX project a modular system with well-defined interfaces for multivalent application in experimental stations of different radiation sources was created for broader and more effective use of synchrotron radiation. Based on an analysis of existing solutions, design elements were systematised and a minimum of necessary modules for experimental stations identified. For these modules standardised interfaces were defined and applied in the design and manufacturing stages. After manufacturing of appropriate prototypes the applicability in a synchroton station was proven and finally requirements of redesign realised.Application of these modules was expected to lead to advantages in competition within the EU due to shorter development times (expected to be reduced by about 35-40%). Feasible stock-keeping 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: Describe how 'Self-organized recurrent neural learning for language processing' will create measurable scientific, societal and economic impact aligned with Seventh Framework.

assistant: **Impact**

The human brain is an unrivalled engine" for speech processing and language understanding. It integrates a large variety of learning, adaptation, optimization and self-stabilization mechanisms across manydynamically interacting levels of processing. The result of this highly entwined mesh of processes is supreme robustness, efficiency, and versatility. ORGANIC adopts principles of cortical architectureand self-organizing neurodynamics for the design of a new type of cognitive architectures for speech/language tasks.<br/>The neurodynamical models will be grounded in the paradigm of Reservoir Computing is a biologically inspired perspective on how arbitrary computations can be learnt and performed in artificial neural networks which are -- like their biological rolemodels -- large, randomly grown, highly nonlinear and eminently adaptive.<br/>R\\&D activities in Organic will result in<br/>* a much deeper theoretical understanding of how very complex computations, especially those related to language processing, can be robustly and adaptively performed in neurodynamical systems,<br/>* a publicly available ``Engine'' of programming tools which conforms to recent interface standards  for parallel neural system simulations, together with a reference collection of large real-life benchmark datasets,<br/>* prototype implementations of large-vocabulary online speech recognizers and handwriting recognition solutions.<br/>The consortium brings together the original pioneers in reservoir computing, leading researchers in cortical architectures for speech and language processing, speech recognition technology and anindustrial partner at the frontier of automated text recognition."
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 'Information Platform on International Standards for SMEs in the food sector' (INPLISTA).

assistant: **Innovation**

The discrepancy between price pressure and food quality is the major problem of every Food SME; being enforced by the retailers, who are only willing to buy from certified producers nevertheless at a cheap price. Therefore it is important for each SME in Europe to know exactly how it is possible to fulfil international food standards without loosing competition against other food producers. The objective of INPLISTA is to create a supporting information platform directed to specific needs of SME food enterprises in order to improve their position in the European market and to assist in keeping up to date with current standard requirements. INPLISTA will -enhance Food Safety for SMEs by comprehensive information on globally adopted guidelines such as HACCP, BRC-GFS, IFS, EUREPGAP, Dutch HACCP, ISO 22000 and Codex Alimentarius -strengthen the European Food Safety with the beneficial impact of the realisation of standard requirements (improved monitoring, documentation systems, HACCP system, traceability system, allergen monitoring, GMO handling etc.) -promote and cross link European Research in order to enable innovative ways for the implementation of standard requirements and integrate current normative and legislative requirements -enable SMEs of Central and Eastern Europe to chose and implement the appropriate food safety system These objectives will be reached by the following actions. -The partners will develop, organise and arrange one-day seminars on general information about standards in every participating country. Sector specific Seminars will be created to develop practical solutions for the three major sectors (meat, dairy and fruit/vegetables) Issue specific seminars about allergen-, GMO handling and traceability will also be held. -A homepage with informatio