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 'The european dimension of the global observation research initiative in alpine environments - a contribution to gtos (GLORIA-EUROPE)' (GLORIA-EUROPE) targeting Fifth Framework.

assistant: **Abstract**

The project is proposed to establish an urgently required international network of long-term observation settings to detect climate change-induced effects on alpine mountain ecosystems (i.e. from the tree line upwards). Alpine environments are particularly appropriate for such a network, due to their presence in all major life zones of Europe and due to their high vulnerability and sensitivity to climatic changes. The project aims to implement a particularly cost-effective in site observation of plant biodiversity and vegetation patterns at 72 sites in 18 Target Regions. This includes the development, evaluation and application of standardised observation tools and the assessment of cost-effective options for the long-term operation.
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 'EuRopEAn incubator for trusted and secure data value CHains' (REACH) under Horizon 2020.

assistant: **Objectives**

Europe has an opportunity to have a leading position on Data Economy, particularly in B2B scenarios. Special focus must be placed on accessing, sharing and reuse of data in an environment of security and Trust, which are fundamental preconditions for the Data Economy. The support of pilot projects and innovation spaces for experimenting with cross-sector multi-stakeholder data innovation is therefore urgent. Efforts need to concentrate on the provision of trusted and secure privacy-aware analytics solutions allowing for the secure sharing of proprietary industrial data along with personal data. REACH aims to launch a sustainable European-wide second-generation incubator for data-fuelled start-ups & SMEs aiming to develop innovative experiments within data value chains. REACH will launch 3 Open Calls expecting to attract +500 data driven concept-applications and select 100 business ideas to undertake a 4-phases funnel Tech-Biz acceleration programme (EXPLORE - EXPERIMENT - EVOLVE - EXPOSE). REACH aims to support the generation of new data-fuelled products & services, drive the development of solid businesses, trigger revenue growth and foster the access to new funding rounds, by offering a full service pack consisted of: tech-training and experts, datasets, technological bricks for secure and trusted data value chains, computing infrastructures, business development training & coaches and up to €120k equity-free funding. REACH will demonstrate that Data Silos can be broken by enabling a multi-stakeholder cross-sectorial incubator to boost data-fuelled sustainable solutions, leveraged by the capacities of the best data-driven DIHs in Europe. Besides a solid consortium to access world class startups/ SMEs and deliver high valuable technological & business services, REACH i
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 'New Frontiers in Projection-Free Methods for Continuous Optimization' (ProFreeOpt).

assistant: **Innovation**

Efficient algorithms for continuous and in particular convex optimization have revolutionized science and engineering in the past decades, providing the engine that drives numerous key technical and computational practices used across  almost every scientific and engineering discipline. In particular, it is one of the main pillars of the ongoing data science and AI revolution.  For many important large scale optimization problems that include constraints that are complex yet highly-structured, the algorithmic weapon of choice are so-called projection-free methods, which are mostly based on the classical Frank-Wolfe method. Despite vast interest and progress in recent years on scaling up projection-free methods, their optimization oracle complexity remains significantly inferior to their projection-based counterparts. This shortcoming prevails throughout almost every optimization paradigm of interest and  is often the bottleneck in further scaling-up this important family of optimization methods. The overarching goal of this project is the foundational and systematic study of the landscape of continuous optimization with computationally efficient (projection-free) optimization oracles. My goal is to develop an understanding, across a variety of central optimization paradigms, of how far can we push methods that rely only on simple and efficient optimization steps towards matching the complexities of state-of-the-art projection-based methods (that rely on computationally-expensive optimization steps). I envision that the novel algorithmic and methodological results that will come out of this research will lay the foundations to a new generation of far more advanced algorithms for continuous optimization with structured constraints. These will allow to tackle on a practica
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 'Baselines for accession states in europe (BASE)' (BASE).

assistant: **Innovation**

The BASE project aims to accelerate JI investments by reducing the barriers and costs associated with the implementation of JI projects, specifically the transaction costs associated with baseline definition. BASE will seek to reach consensus on how baselines should be defined, addressing the needs of industry and government in investor and host countries. The primary objectives of BASE are to agree methodologies to be applied in the host countries covered by the project (Czech Republic, Estonia, Hungary, Poland and Slovenia), to integrate into national baseline definition the work that is already being carried out in each country on emissions reporting and energy sector modelling, and to produce transparent guidelines for investors and governments on how to design, develop and approve eligible JI projects.Description of Work:BASE is working with the UNFCCC focal points" in each country and other key stakeholders to develop a set of baseline tools, methodologies and guidelines, tailored to the Climate Change objectives of each country. It is developing consensus among the key stakeholders on the processes necessary to satisfy minimum requirements of additionally for JI applicants. Baselines are being assessed at the national level, looking at energy sector plans and modelling activities but also at the project level through identification of potential JI projects. Project eligibility JI will be tested as well as assessing the potential credit generation. BASE is working alongside government to maximise project development by gaining an understanding of government preferences for JI projects, gaining practical insights into the requirements and steps for baselines and in determining the technical and institutional procedures to satisfy the JI requirements. The BASE proje
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 'EXtreme Analytics for MINing Data spaces', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

EXA4MIND will build an Extreme Data platform that brings together large scale data storage systems and powerful computing infrastructures by implementing novel automated data management and effective data staging. This will enable integration with extreme data sources and support complex and advanced data analysis pipelines for knowledge extraction. Involving three large universities and a research centre, small and medium-sized enterprises (SMEs), and the industrial sector, EXA4MIND  uses interdisciplinary top-level expertise to create a modular Extreme Data Database (EDD) analytics environment. Driven by four representative Extreme Data Application Cases from the fields of molecular dynamics, autonomous driving, smart agri-/viticulture and health/social Big Data, EXA4MIND will support data ingestion and versatile preprocessing, develop an “Advanced Query and Indexing System” with convenient interfaces, and leverage high-performance storage and computing infrastructure. We will make Big Data from heterogeneous storage systems and database management systems available in a uniform way for processing on European pre-Exascale Supercomputers, cloud and AI-processing systems. Further to providing automatised staging, caching or direct access to these systems, the results and relevant data from our project will be made available to the European FAIR Data Ecosystem (including European Data Spaces, EUDAT, and the EOSC). Therefore, standardised modules and automated procedures will be implemented in our EDD. The project will constitute a leap forward towards common European Big and Extreme Data techniques in science, industry, and SMEs. Offering advanced data workflow orchestration, the EDD will be validated, proven, and sustained in collaboration with application partners, gen
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 'A new ICT-based device (RHEO-01) for fast point-of-care analysis of acute ischemic stroke and other emergency situations.' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

Stroke is the most frequent cause of long-term disability in Europe, mainly in middle-aged and elderly people. Stroke imposes a huge health care economic burden: >5B€/year in France.  RHEOFAST is developing a smart ICT-based decision support tool to assist health professionals in the efficient management of patients with acute stroke. RHEO-01 information management includes three aspects:   1- High quality data input from a connected point-of-care device that measure a patient’s inflammatory profile in 30s. The optically measured erythrocyte aggregation kinetics (EA) varies with inflammation. This information is contextualized by the patient’s clinical characteristics provided by physicians.   2-Remote smart data is managed with EA kinetics mathematical modelling, comparison with proprietary dataset and dataset enrichment with high quality data,   3- Physician-friendly output is displayed on the POC device to help physicians make treatment decisions. The whole process from standard blood collection to results takes less than 5 minutes. Acute ischemic stroke triggers inflammation, which in turn alters EA kinetics. Hemorrhagic stroke doesn’t initially trigger inflammation. By helping physicians to quickly differentiate patients with acute ischemic stroke from patients with hemorrhagic stroke, RHEO-01 will improve the percentage of patients receiving timely life-saving thrombolytic therapy. A 1% increase in thrombolytic treatment translates to a 440K€ decrease in cost (France). Furthermore, RHEO-01 can quickly identify inflammatory profiles in patients with other emergency conditions. Based on the French situation RHEOFAST forecasts a rapid growing turnover starting in 2018 with up to 13 M€ after 5 years. We need to have a European approach to update our forecast and propo
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 'Support to the Chair of the ERC Scientific Council 2008' in the context of a Seventh Framework call.

assistant: **Objectives**

The proposed project aims to support the ScC Chair in the efficient and timely achievement of the ScC’s objectives in 2008. It will support and assist Professor F.C. Kafatos, Chair of the ERC’s ScC, in his diverse responsibilities which include the achievement of efficient and effective functioning of the ScC, its integrated operation together with the ERC’s Dedicated Implementation Structure (DIS), and effective interfacing with the scientific community, other funding agencies and the political institutions of the European Union. The project will provide administrative and research support ranging from secretarial tasks to assistance in developing policy papers related to the work of the Chair of the ERC Scientific Council for a period of one year.  The potential impact of the project will be to ensure an efficient and well-managed operation of the ERC ScC. By providing high level local support for the EcC Chairman who is based at Imperial College London, the project will complement the activities of and allow efficient interfacing with the DIS. Overall, the project is expected to contribute significantly to the implementation of the Ideas specific programme.  This proposal is one of three linked proposals, providing support to the Chair and Vice- Chairs of the European Research Council Scientific Council (ERC ScC). The proposals are linked by means of common sections in their description of work and shared deliverables. The proposed project will be a continuation of ongoing project “Support to the Chair of the ERC Scientific Council  2006 – 2007” Contract No. 044505 (ERCSC-CHAIR-SUP).
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 'Colorful Indications of (Ex)Change.' (Ex), addressing dissemination and exploitation.

assistant: **Impact**

Archaeometric research on ancient polychromy can reveal how past cultures exchanged commodities and knowledge. This raises fundamental questions relevant to cultural heritage research, to our understanding and present-day perception of ancient economic dynamics, technology and art. I have analyzed a number of colorants, with the aim of determining material provenance. The more of these analyses that are carried out, the more the need for an integrated synopsis of the current state of knowledge becomes pressing. My overall research goal is to test the potential of ancient pigments for indicating various forms of (ex)change. I hypothesize that the information on provenance and production processes gained from scientifically analyzing, archaeologically and historically contextualizing ancient pigments will indicate procurement patterns, technology and organization of production, and transfer of knowledge and culture in a novel way. To test this, I will investigate the origin of raw materials and the product quality of cinnabar and Egyptian blue pigments in unprecedented detail with a multidisciplinary approach: The impurities in pigment mineral phases can indicate production processes and thus perhaps organization of production. Trace elements and isotope ratios vary depending on the geology of a source area. This allows excluding a less likely provenance. For BUNT, I will set the material analysis in context with the discussion of the cultural, political and economic dynamics in Noricum after it became part of the Roman Empire – an area with abundant local resources and the potential for local production of pigments, and a highly interesting time of cultural change. BUNT is innovative, multidisciplinary and cross-sectoral, which will advance my versatility and independenc
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 'Deep learning for Forest Mapping using Point clouds' (DeepForMaP) targeting Horizon Europe.

assistant: **Abstract**

Over the last decade, the Earth has witnessed significant climate change and global warming, largely as consequences of rapid industrial development. To combat this, the management and preservation of forests have become increasingly essential, given their homeostatic role in regulating the global climate. Point clouds (PCs) obtained from LiDAR mapping offer vast amounts of data, which have proven invaluable for forest mapping. In our research, DeepForMaP, we leverage PC data and utilise advanced deep learning techniques to monitor forest patterns across both space and time. One of the primary challenges in processing PC data arises from its unstructured nature. To address this, we employ recent feature extractors such as Mamba and Kolmogorov Arnold Networks (KANs) to process the data, extracting meaningful and discriminative representations that result in more accurate classification and detection. Furthermore, given the high point density of PCs (often in billions), data annotation is limited. To overcome this, we employ self-supervised learning and zero-shot learning techniques. The former capitalises on the inherent structure of PCs to design specific tasks that train feature extractors, while the latter leverages semantic information from the corresponding PC descriptions to manage data scarcity. Our trained models are applied to classification and change detection tasks, and we also evaluate their performance in cross-domain settings, where training and testing occur in geographically disjointed areas. This project is expected to result in efficient deep learning models, deployable in practical forest mapping scenarios. DeepForMaP will be hosted at IRISA laboratory at Université Bretagne Sud Vannes under the esteemed supervision of Prof. Sébastien Lefèvre and Dr.
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 'ELEVVO: A Ground-breaking Wearable Brain-Computer Interface that Enables Self-management of Cognitive Welfare through Personalised Training Exercises' (ELEVVO) under Horizon 2020.

assistant: **Objectives**

Cognitive decline (progressive loss of mental cognitive abilities) is a natural event that affects us all after the age of 40. Although age is a main factor, low-demanding brain activity can speed up the process & end up in cognitive impairment, which is a major cause of disability worldwide. Importantly, the onset & progress of cognitive decline can be hindered with preventive training that stimulates cognitive abilities. This realization is driving the market of cognitive training, foreseeing a $7.5 billion turnover and 83% population adoption by 2020. This growth will be mostly driven by the revolution of wearables & biometric technologies, which are increasing rapidly as people become more prone to manage their own health. However, current market offerings for brain training either need the presence of a clinical specialist or lack any scientific relevance. In response, we at BitBrain Technologies have developed ELEVVO, a ground-breaking neuro-wearable technology that enables self-management of cognitive welfare and yields real measurable enhancement. ELEVVO uses a gaming approach to train cognitive-related patterns, relying on intelligent big-data mining to automatically tailor the challenges to the users’ brain rhythms and to measure the progress achieved. Importantly, ELEVVO will be the only scientifically-validated product for cognitive training in the mass market. Indeed, we have proved the ELEVVO’s efficiency in healthy adults (students, workers, elderly) and in neuropathology cases. Altogether, with this project we aim to finalise the development of ELEVVO and to scale-up our deployment capability. The Feasibility Study planned in Phase 1 will help us warrant the project from all technical, commercial & financial standpoints. Upon completion, ELEVVO will brin