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: Write the concept and methodology overview for 'Novel closed-cage system for high-value marine aquaculture' under Horizon 2020.

assistant: **Concept**

The global demand for seafood is in a period of exceptional growth, making up 16% of all consumed animal protein, or 119m tonnes annually, expected to increase to 152m tonnes by 2030. Wild stocks, are near or beyond their sustainable limit, resulting in an annual production shortfall of ca. 30m tonnes by 2030. Farmed seafood provides a clear, viable alternative and consumer demand can thus drive a striking growth in aquaculture, if current technological and regulatory barriers can beovercome.Currently marine aquaculture uses net-based open aquaculture systems (OAS) concentrating high numbers of fish in a confined area, leading to disease outbreaks (and transmission to wild stocks), pollution by fish sludge and chemicals used against diseases and algae growths, and from fish escapes, all threatening wild stocks and the local environment. The regulatory response varies but tends towards strict limits on production capacity, expected to tighten further in coming years, which, combined with the shortage of appropriate, sheltered in-shore seasites, act as a major barrier to further expansion and growth for European and global marine aquaculture.To unlock aquaculture’s potential for Blue Growth and jobs creation, alternative technologies must be brought to market; technologies that limit or eliminate the environmental impact of OAS in a cost-efficient way to preserve the environment while boosting the competitiveness and profitability of European marine aquaculture by allowing expansion. With NEPTUN, we will bring to market a cost-effective, closed-cage aquaculture system that combines an impermeable and durable fibreglass enclosure with an innovative hatch technology, optimising day-to-day management and operational control. The durable construction eliminates fish escapes w
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 'Local Edaphic Adaptation in Plants through Leveraging an Extremophile Model' (LEAP-EXTREME).

assistant: **Innovation**

The discontinuous mosaic of soil compositions on the Earth’s changeable surface intermittently requires the adaptation of plants as crucial mediators for ecosystems with the inorganic lithosphere harbouring all nutrient, but also toxic minerals. Only few gene variants have been implicated in local soil adaptation. There is a general lack of information about their relation with soil composition in the field, the manner in which such adaptations function and evolve, and why they arise in some taxa but never in others. To answer these questions, we will take advantage of the repeated evolution and the unusually large phenotypic ranges for multiple edaphic traits in Arabidopsis halleri. This species has undergone uniquely divergent natural selection for increased hyperaccumulation in leaves of the toxic metals zinc and cadmium as well as metal hypertolerance on ordinary soils, and for enhanced hypertolerance involving attenuated metal hyperaccumulation on heavy metal-contaminated soils.Capitalizing on the most comprehensive collection ever established of a wild extremophile, and with a pioneering approach recording critical field data for each genotype, we will conduct large-scale genome resequencing and identify multi-trait multi-gene associations, complemented by genetic linkage mapping based on crosses. Local edaphic adaptation causal variants will be placed into the context of metal homeostasis network architecture and plasticity using transcriptomics, and we will comparatively evaluate mutation rates in A. halleri under ecologically relevant edaphic conditions. Implementing state-of-the-art genome-enabled and novel phenotyping methodologies in this wild and biologically complex species will require continuous pioneering developments. Our work will deliver novel fundam
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 'Implementation of The Discoveries Centre for Regenerative and Precision Medicine, a new Centre of Excellence in Portugal', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

This proposal is an initiative from 5 top-ranked Portuguese universities including the University of Minho (UMINHO), the University of Porto (UPORTO), the University of Aveiro (UAVR), the University of Lisbon (ULISBOA), the New University of Lisbon (UNL), and a university of research and innovation excellence from the United Kingdom, the University College of London (UCL). These institutions will be the founders of the future independent multi-campi research centre, The Discoveries Centre for Regenerative and Precision Medicine. This partnership is coordinated by the Portuguese Foundation for Science & Technology (FCT). The Discoveries Centre to be created during the proposed project will perform world-leading research, by anchoring research activities of the best research groups in Portugal, promoting excellence, advanced training, translational research outputs and commercialisation strategies. In the long-run, these are expected to generate an important economic impact, as well as a positive social effect by contributing to the increase of the quality of life of an ageing European population affected by neurodegenerative, cardiovascular and musculoskeletal diseases. It is anticipated that The Discoveries Centre will be able to foster a knowledge-based economy aligned with national and regional strategic priority areas and European societal challenges, thus reinforcing Portugal’s scientific capabilities, create also critical mass of science in this field of research, as well as social and economic development. It will also contribute to a global recognition of the national scientific production, having a structuring effect in the Portuguese science, generating high value-added products, attracting top-level international scientists, as well as enhancing the capacity 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: Compose the 'Concept and Approach' section for a Horizon 2020 proposal on 'Video Understanding for Autonomous Driving'.

assistant: **Concept**

Autonomous vision aims to solve computer vision problems related to autonomous driving. Autonomous vision algorithms achieve impressive results on a single image for various tasks such as object detection and semantic segmentation, however, this success has not been fully extended to video sequences yet. In computer vision, it is commonly acknowledged that video understanding falls years behind single image. This is mainly due to two reasons: processing power required for reasoning across multiple frames and the difficulty of obtaining ground truth for every frame in a sequence, especially for pixel-level tasks such as motion estimation. Based on these observations, there are two likely directions to boost the performance of tasks related to video understanding in autonomous vision: unsupervised learning and object-level reasoning as opposed to pixel-level reasoning. Following these directions, we propose to tackle three relevant problems in video understanding. First, we propose a deep learning method for multi-object tracking on graph structured data. Second, we extend it to joint video object detection and tracking by exploiting temporal cues in order to improve both detection and tracking performance. Third, we propose to learn a background motion model for the static parts of the scene in an unsupervised manner. Our long-term goal is also to be able to learn detection and tracking in an unsupervised manner. Once we achieve these stepping stones, we plan to combine the proposed algorithms into a unified video understanding module and test its performance in comparison to static counterparts as well as the state-of-the-art algorithms in video understanding.
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 'Catastrophic Failure in Flexural Lattice Problems', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

Currently, there is a vast amount of research activity taking place into the development of new materials having unconventional properties and the respective technologies have been opening new eras through various applications for society.  This new generation of materials, or metamaterials, have led to interesting physical properties previously thought impossible such as cloaking, negative refraction and materials that contract when heated. Most of those properties are realised in the dynamic response of the material. However, in these dynamic processes uncertainty remains as to whether these metamaterials undergo feasible deformations, remaining intact. Research into the latter is limited. Understanding this phenomenon is important in developing new metamaterials. Additionally it is crucial, for example, in larger structures such as multi-span bridges, pipelines and skyscrapers exposed to earthquakes and terrorist attacks, regularly faced in Europe and their effects can be catastrophic to human life.To accomplish this research, a significant multidisciplinary effort is required from applied mathematicians, engineers, computer scientists and industrialists closely collaborating towards this one goal. This timely project has two aims: (i) to create a well-rounded researcher capable of interacting with engineers and industrialists and (ii) this should be executed through the research into this area or more specifically the dynamic failure propagation in structured media under various loading conditions. This will be achieved through establishing an international and multidisciplinary long-standing collaboration between the European Fellow (EF), who is an applied mathematician, academic partner UniCA and industrial partner ES. Through this, a unique research environment w
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 'Autocatalytic Self-Synthesising Polymersomes', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

Polymersomes, hollow polymer vesicles made from assembled amphiphilic block copolymers, are interesting systems for drug delivery as they can be synthesised to be biocompatible, biodegradable, and/or stimuli-responsive. A main limitation of all drug delivery vehicles is that they require multiple steps of synthesis and a posterior self-assembly process that generates low yields and high quantities of non-encapsulated waste, limiting industrial scalability. Being hosted in the Stevens Group (www.stevensgroup.org, recognised with over 30 major awards), AutoPolymer aims at generating a versatile platform for the generation of polymersome-based drug delivery vehicles which can self-replicate by synthesising amphiphilic block copolymers in the lumen, with the future perspective of co synthesising encapsulated therapeutic agents. The strategy builds on finding bioinspiration in nature, mimicking the autosynthesis of structural components of cells through the mitosis process.  This will be achieved by generating enzyme-containing polymersomes which have the capacity to biocatalyse polymerisation reactions. The polymers will be synthesised in the lumen of the polymersomes and will then migrate and assemble to the existing membrane. This will allow for membrane surface area growth and posterior binary fission splitting the encapsulated contents. The incorporation of light responsive chemical motifs to the polymersomes throughout their autosynthesis will be studied to render light-responsive drug delivery vehicles. The polymersomes will be tested for their therapeutic effects on cell lines. The approach is highly versatile and could, in principle, be used for a great variety of chemical compositions and encapsulated therapeutic agents. The potential of the project will be evaluat
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 Fifth Framework proposal on 'Integrated research infrastructure in the socio-economic sciences at ceps/instead'.

assistant: **Concept**

Description:IRISS-C/I is an ideal meeting place for researchers in the socio-economic sciences willing to undertake empirical analyses on problems of today's societies and economies. Researchers are offered the opportunity to work on a wide array of longitudinal micro-data on household living conditions (national and/or internationally comparable). State-of-the-art research facilities are offered (comprehensive data documentation, statistical software, powerful computation server) and technical and scientific support can be gained from resident researchers with substantial experience in the handling of the datasets (which include the Panel COmparability (PACO) data, early releases of the Consortium of Household Panels for European Socio-Economic Research (CHER) data, the European Community Household Panel user database, as well as a series of national panel surveys). IRISSC/I also offers a platform to present, discuss and publish research findings. Research on any of the following topics is particularly well suited for analysis with the CEPS/INSTEAD archive of data: income and poverty dynamics, social and distributive policies, family structure and change, geographical and social mobility, gender, ethnic and social inequality, education and training, labour supply behaviour.Applications for access are made by submitting the application form online on the IRISS-C/I website. A research project (about 2-3 pages) and a CV of all the researchers involved must be uploaded on submission. Applications on any subject can be made at any time. However, topical calls for proposals with deadlines are issued at regular intervals to try hosting researchers with similar research interests at the same time.Project manager:Philippe Van Kerm.
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 'Postural networks: linking cognitive and motor control across the lifespan' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

Almost every movement we make requires the coordination of multiple muscles. How the central nervous system coordinates these patterns of muscle activity remains largely unknown. Here I propose muscle networks as an innovative and principled approach towards neural interactions underlying coordinated movements and posture to address this outstanding problem. Recent findings show robust patterns of neural coupling across multiple muscles. Application of network theory has brought about a paradigm change in brain research and has been crucial for understanding how neurons and neuronal structures connect and communicate. Here I will extend the approach used to study brain networks to the neuromuscular system and investigate the neural interactions within the brain and spinal cord involved in postural control using network analysis of brain and muscle activity (EEG & EMG). By relating network structure to postural kinematics obtained using 3D motion-capture technology, I will investigate the functional role of postural networks in healthy participants performing postural tasks and to map changes in postural control across the lifespan. Cognitive control and sensorimotor functions will be assessed using standardized test and correlated with network metrics to explain variability in postural control and disentangle their role in organizing of postural networks. By combining advanced computational analyses with state-of-the-art recording techniques, the project will enable reconstructing functional interactions in the distributed motor system from non-invasive recordings. Postural networks hence offer a promising new perspective on a long-standing open question in movement neuroscience. The expertise of my supervisors and the excellent facilities at Maastricht University provi
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 'PARTICIPATORY MEMORY PRACTICES. Concepts, strategies, and media infrastructures for envisioning socially inclusive potential futures of European Societies through culture' (POEM), addressing dissemination and exploitation.

assistant: **Impact**

Diverging forces across European societies, most visible in both the contemporary nationalist movements and Islamist radicalization, demand a socially inclusive public memory. Its implementation calls for new strategies, practices, and infrastructures for staging and empowering membership and contribution of people from diverse social and cultural backgrounds for past and future development in Europe. To reach this goal, research needs to develop a comprehensive understanding on concepts, practices, and media infrastructures that facilitate the partaking of people from various backgrounds in the heritage building work of memory institutions (libraries, archives, and museums). The POEM-ETN will provide this comprehensive knowledge by studying in practice theoretical approaches on how connectivities are built by 1)  institutions, 2) people and groups, and 3) media infrastructures for a socially inclusive, participatory heritage work and what facilitates or hinders collaboration. Therefore, a new generation of professionals will be trained through an innovative training programme and supervised by peer networks of transdisciplinary knowledge to act as change agents, brokers, and problem solvers in this contested field of heritage work. The comprehensive transdisciplinary composition of the consortium involving universities, memory institutions, civil society organisations, and SMEs from public and private sectors will therefore provide the POEM fellows with transdisciplinary knowledge on cultural and social analysis as well as on transferrable skills with respect to the changing socio-technical, organisational, legal, economic, and ethical issues to address future challenges for participatory memory work.


**Keywords:** public memory, cultural heritage, social media, digi
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 'SAFE-AUTO: Anticipating Chemical Hazards and Accident Risks in the Automotive Industry', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Accidents and chemical risks in the automotive industry remain a major challenge, despite strict regulations and standards. Traditional occupational health and safety (OHS) systems often rely on retrospective analysis and static procedures, which are not sufficient to address emerging risks in complex and dynamic industrial environments. SAFE-AUTO project will develop an innovative, ML/AI-driven decision-support framework to strengthen workplace safety in the automotive sector. By combining existing OHS records, incident reports, and risk assessments with new qualitative evidence from interviews, surveys, and focus groups, the project will create predictive models that identify patterns and anticipate chemical exposures and accident scenarios specific to automotive workplaces before they occur. Depending on the research need, machine learning or other AI methods, combined with explainable modelling and simulations, will ensure reliability, transparency, and fairness of the results. The framework will be validated with industrial stakeholders and aligned with ISO 45001 and EU safety guidelines. This proactive approach will support compliance with EU directives and promote safer, more sustainable industrial practices. SAFE-AUTO will deliver impacts at several levels. Scientifically, it advances the use of ML/AI in occupational safety. Practically, it reduces accidents, chemical exposures, and production losses. Societally, it strengthens Europe’s commitment to a safe and healthy working environment, consistent with the EU Strategic Framework on Health and Safety at Work 2021–2027 and indirectly supporting the European Green Deal by reducing waste, pollution, and resource losses linked to industrial accidents. Overall, SAFE-AUTO offers a scalable and transferable methodolo