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: Explain the overall concept, methodology and approach for the project 'HISTORY OF THE FRENCH POLITICAL SCIENCE LEXICON' (HFPSL).

assistant: **Concept**

The scientific research project submitted to the ERC intends to examine the creation of the French political science lexicon from a linguistic point of view. Most of the Political science vocabulary that the French language uses today comes from the translations from Latin and Greek into French during the 14th and 15th centuries. Historians and philosophers have noticed that the 14th century is an essential period for neologisms in the political science field. But no scientific research has been yet conducted to prove it, especially because of the lack of modern editions of the texts. The scientific project submitted to the ERC can be developed in three parts during the next 5 academic years: 1/ an edition of a major political science masterpiece in Middle French from the 14th century that has never been published before (years 1 to 5) : The City of God written by Augustine and translated by Raoul de Presles. The modern edition of the first translation of the City of God will allow researchers to have an easy access to primary sources in order to lead new research in linguistics, history, political sciences, and more generally in Humanities. 2/ a publication of a scientific monograph on the French political science lexicon (year 4). Indeed, such a scientific monograph will give a panoramic overview of the French Political Science Lexicon and will allow researchers to better understand the history of French concepts in Humanities. 3/ a publication of a Dictionary of Political Science (year 5). Finally, a dictionary in historical political science will facilitate our knowledge of the evolution of words in that particular field, from the Middle Ages to the 21st century.
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 'Rethinking Queer Kinship:  LGBTIQ* Families with children in Central and Eastern Europe', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

The marginalization of Central and Eastern Europe in queer kinship and family studies has created a critical gap in understanding global LGBTIQ* family dynamics. Dominant theories, shaped largely by Anglo-American contexts, often overlook the diversity of family structures and practices in other regions. QUEERSHIP addresses this gap through the first transnational, interdisciplinary study of queer kinship across Poland, Hungary, Czechia, and Croatia.QUEERSHIP aims to develop the Multidimensional Sociocultural Model of Queer Kinships, challenging dominant paradigms and broadening the understanding of family, kinship, gender, and sexuality. Unlike most scholarship, which often focuses on same-sex families or separately on trans experiences, QUEERSHIP adopts a holistic approach by studying LGBTIQ* families together, considering all identities and relational practices within one framework. It also employs a multi-actor perspective, incorporating the voices of significant others, activists, and professionals alongside LGBTIQ* families. Using a mixed and multi-methods approach, QUEERSHIP combines discourse analysis, longitudinal ethnography, focus group interviews, and a large-scale survey to comprehensively explore how LGBTIQ* families are formed, maintained, and displayed across diverse sociocultural and political landscapes. Additionally, it applies participatory action research to refine methods and keep the research responsive to participants' lived realities. By integrating diverse perspectives and employing a robust interdisciplinary framework, the project offers a groundbreaking approach that decentralizes and expands (queer) kinship and family studies. QUEERSHIP findings, innovative methodological approach, and the proposed MSMQK will impact scholarly debates in gend
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 'Advancing Subseasonal PredIctions at Reduced computational Effort' (ASPIRE).

assistant: **Innovation**

The new frontier for weather prediction is the so-called subseasonal time scale of two weeks to two months ahead. To take preventive measures at an early stage, reliable forecasts on this time scale are becoming increasingly important for multiple socio-economic sectors. Subseasonal predictability can be gained from recurring patterns in the Earth system. ASPIRE will focus on one of these, namely modes of tropical convective variability. Long-standing systematic errors due to the parametrization of processes in numerical weather prediction models prevent the predictability of these modes from being exploited. Simply running models at a resolution high enough to resolve tropical convection is not feasible due to high computational costs. Taking advantage of three recent developments, ASPIRE will explore new ways to better exploit the intrinsic predictability of tropical convective modes without exhausting the currently available computing resources.The uniqueness of ASPIRE is its cross-disciplinary approach that builds on my experience in atmospheric dynamics and predictability, numerical modeling, and machine learning (ML). First, ASPIRE will identify the source regions and pathways of tropical forecast errors that prevent the intrinsic predictability from being exploited using a new set of subseasonal ensemble hindcasts. Second, ASPIRE will quantify for the first time the added value of locally confined kilometer-scale resolution in the source regions identified before, and generate probabilistic predictions from deterministic forecasts through ML-based post-processing. Third, to enable simulations at kilometer-scale resolution in operations, ASPIRE will develop ML approaches that emulate the integrated effect of the resolved convection in the tropics at substantially
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 'New Paradigms for Deep Generative Modeling of Polymers' (POLYGEN) under Horizon Europe.

assistant: **Objectives**

Polymers are the most ubiquitous materials class in modern society. Most of us spend a significant part of our lives in buildings made of polymers, using electronics manufactured with special polymers, and taking medicines encapsulated in carefully-optimized polymer formulations. In many cases, the design of new polymers is key to addressing global challenges in sustainability, health, and security. However, current polymer design methods rely heavily on trial-and-error experimentation and are grounded on imprecise assumptions about their structure, which is not only time-consuming and costly, but also offers limited insights into the relationship between structure, synthesis, and properties beyond the simplest polymers. While data-driven methods for small molecule engineering have flourished in recent years, artificial intelligence (AI) methods designed for polymers remain severely underdeveloped due to the unique challenges they pose. Their design involves navigating a noisy data space in search of compounds satisfying a complex set of specifications, made even more challenging when we’re interested in sampling novel, unique materials. The lack of well-defined, regular structures in polymers, coupled with a vastly different synthesis space, has also led to inefficient representations for them and an overreliance on hand-crafted simplifications, necessitating the development of information-rich yet scalable representa-tions for diverse polymer classes. I will tackle these gaps in AI-guided polymer design through the de-velopment of new paradigms for (1) learnable polymer representations and (2) generative AI frameworks for polymer design and synthesis. The methods I will develop bridge unique ideas from polymer science and AI to create a ground-breaking new approach fo
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 'Development of selective breeding programs for boosting organic fish farming that respect high animal welfare requirements, maintain biodiversity and improve fish health and resource efficiency' (SelectOrganic).

assistant: **Concept**

The overall objective for SelectOrganic is to develop selective breeding programs for the organic farming of European sea bass, gilthead seabream, rainbow trout and Atlantic salmon, respecting high animal welfare requirements and aiming at improving species resilience, disease resistance, product quality and resource efficiency. Furthermore, we aim at fish utilizing as much alternative feed materials as possible. This will contribute to “develop and improve good practices in organic aquaculture, make sustainable use of biodiversity"".Four Case Studies are outlined with different tasks in 5 WPs. Each case study addresses each of the four key species above and specific traits of economic and welfare importance in addition to key challenges in organic aquaculture. We will define breeding objectives, develop phenotyping of “new organic” traits, estimate genetic parameters and develop the required organic reproduction technology and selection methods to address critical knowledge gaps or challenges.  A specific welfare auditing WP will exploit experiments from two other WPs on resource efficiency, bacterial disease resistance and heat wave resilience to test and apply species-specific fish welfare indicators. The project outcome will be technologies, methods, and strategies for selective breeding for organic fish farming, while maintaining genetic diversity and contributing to non-toxic environments and to maintain biodiversity. Finally, successful innovations, including many aiming at precision farming, will be integrated in cost-effective breeding plans for organic aquaculture. Socioeconomic studies on non-market valuation of public goods as fish welfare and ecosystem services in addition to policy incentives will involve a broad range of actors. Together with communicatio
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 Sixth Framework proposal on 'European Summer School in Resource and Environmental Economics'.

assistant: **Concept**

Since 2000 the European Association of Environmental Economists (EAERE), the Fondazione Eni Enrico Mattei (FEEM), and the Venice International University (VIU) have been successfully running their European Summer School in Resource and Environmental Econom ics. The broader objective of this series of events is to provide advanced training for young researchers from all over Europe and beyond on European issues of environmental and resource economics.The summer schools series are addressed to small groups of doctoral students in environmental and resource economics from all over Europe and beyond. They follow a traditional structure: lectures by professors, PhD students¿ presentation, reading time, consultation sessions & social events. The faculty is comp rised of leaders in the field, and offers an overall coverage of the specialist area.This proposal covers a period of four years, where the summer schools¿ specialised topic varies from year to year and reflect issues that are currently lively areas of new research and policy interest. Topics will be as follows:1. Computable general equilibrium modelling in environmental and resource economics2. Trade, property rights and biodiversity3. Space in unified models of economy and ecology4. Economics, transport a nd environment.
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 'AI for Predictive Maintenance on Wind Turbines'.

assistant: **Innovation**

Wind power is a key component in the transition towards a society based on renewable energy. However, wind turbine operation and maintenance costs remain high and represent a third of the total costs of energy. Maintenance of critical components can be drastically reduced through early fault detection using advanced sensor signals. However, current analysis methods are highly manual and do not scale well.The EU-funded PAVIMON project is focused on the implementation of advanced artificial intelligence (AI) to analyze data from these sensor streams. The aim is to increase the resource efficiency of signal analysis and improve predictive capabilities. The PAVIMON project will effectuate a feasibility study at technical, transformational and commercial levels.
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 'Plants olfactory deterrent signals' (PLANTDETER).

assistant: **Innovation**

Plants have designed a range of sustainable strategies to defend themselves against insect predation. The best-known are insecticide molecules like nicotine, pyrethrinoids or moulting hormone analogs. That plants still use such defences is a wonder, considering how fast insect pests adapt to insecticides. We presume plants are using a range of strategies to keep using such defences over a long time. One of these strategies could be to send conspicuous olfactory signals to deter insects from approaching or landing on them.We propose to search for and quot; warning and quot; molecules in a range of plants well defended against insects. Warning signals would serve to deter insects before intoxicating them and thus lessen the chances of selecting resistant insects. Our target plant group will be plants producing phytoecdysteroids, which represent a distinct class of plant secondary compounds that are analogues of insect moulting hormones. We propose to collect and analyse odours released from plants producing phytoecdysteroids, look at common patterns between them, evaluate if they are emitted in larger quantities when plants are subjected to a stress and when the metabolism of their defences is activated, and evaluate their biological activity on polyphagous ins ect pests.The rationale supporting this research is that herbivore insects assess the quality of their food before ingesting it, or before laying eggs on a host plants. Demonstrating the existence of such warning signals would be of great interest for agriculture since they could be used to prolong the efficiency of existing natural or artificial defences, or integrated in pest management strategies aimed at diminishing the impact of pest insects rather than destroying them. Given the expected limitations of the us
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 'Carbon Intensive Regions in Transition - Unravelling the Challenges of Structural Change' (CINTRAN).

assistant: **Concept**

In order to meet the climate change mitigation objectives of the European Union as well as the objectives of the Paris Agreement, it is inevitable that the European Union phases out fossil fuel consumption in the power sector and decarbonizes fossil-fuel dependent industries. These industries are not spread evenly across the EU but concentrated in a number of carbon-intensive regions. Decarbonization will lead to deep structural changes with implications for regional economies, labour markets, as well as for the regions’ social, political, cultural and demographic composition. If not managed well, these structural changes may cause serious economic impacts, societal upheaval, aggravated social inequalities and hardship.To minimize such consequences it is necessary to better understand the patterns and dynamics of structural change in response to decarbonization at the regional level, to understand which parameters determine the pace of transformation as well as the capacity of regional actors to adapt and pro-actively create alternative structures. This project aims to enable these activities through highly integrated, inter- and transdisciplinary research working in close collaboration with regional stakeholders. It combines quantitative model-based research with qualitative in-depth analysis. The qualitative research will focus on four highly fossil-fuel dependent regions: Western Macedonia (Greece), Silesia (Poland), Ida-Virumaa (Estonia) and the Rhenish mining area (Germany). The regions were selected to cover a diverse set of different fuels, state of economic development, diversification of the regional economy, political economy, and spatial composition. This diversity will enable the project to derive generalizable insights about the patterns and dynamics of dec
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 'Neural Circuit Regulation of Adult Brain Stem Cells' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

In the adult mammalian brain, neural stem cells (NSCs) residing in the ventricular-subventricular zone (V-SVZ), give rise to new olfactory bulb neurons and glia throughout life. Adult V-SVZ NSC are highly heterogeneous. Stem cells co-exist in quiescent and activated states and reside in regionally-distinct V-SVZ domains and produce different subtypes of olfactory bulb neurons and glia. However, whether this heterogeneity is due to intrinsic fate commitment or whether it is dynamically responsive to external changes is still debated. Moreover, the mechanisms that modulate the balance between activation and dormancy are largely unknown. It is emerging that physiological states modulate V-SVZ cell behaviour and impact adult neurogenesis. We propose to investigate whether physiologically distinct states result in the recruitment of regionally distinct pools of adult V-SVZ neural stem cells. In Aim 1, we will map the domains of stem cell activation and cell types generated in different states in male and female mice. In Aim 2, we will perform large-scale single cell sequencing to decode stem cell heterogeneity and develop novel fate mapping strategies to selectively target different stem cell populations. We will also define the connectivity of different populations of interneuron subtypes. In Aim 3, we will define how the choroid plexus and long- range innervation differentially affect V-SVZ stem cell recruitment in different states using approaches to manipulate neural circuit activity. Together these experiments will provide a conceptual breakthrough into illuminating the logic of adult neural stem cell heterogeneity, and how regionally distinct adult neural stem cells integrate long-range signals from remote brain areas to respond to signals for on-demand neurogenesis or
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 'Optical peRformanCe monitoring enabling dynamic networks using a Holistic cross-layEr, Self-configurable Truly flexible appRoAch'.

assistant: **Innovation**

An optical network, like any system, has to be observable before it can become controllable and be subject to optimization, and this is the first capability ORCHESTRA introduces. ORCHESTRA’s high observability relies on information provided by the coherent transceivers that are extended, almost for free, to operate as software defined multi-impairment optical performance monitors (soft-OPM). Information from multiple soft-OPMs are correlated using network kriging and statistical estimation methods to infer information for unmonitored or un-established paths, effectively support alien wavelength, and localize QoT problems and failures. High rate optical transmission with coherent detection promises to address the continuous growth of Internet traffic. However, the current control and monitoring (C&M) infrastructure is absolutely not adequate to support this growth. In ORCHESTRA, a new C&M architecture that exploits the monitoring and reconfigurability capabilities of enhanced tubable transceivers will be designed, implemented and validated. The network is viewed as a continuously running process that perceives current conditions, decides, and acts on those conditions. ORCHESTRA’s advanced cross-layer optimization procedures will be implemented within a new specifically designed library module, called DEPLOY. A new dynamic and hierarchical C&M infrastructure will be then created to interconnect the multiple soft-OPMs and the proposed virtual and real C&M entities running the DEPLOY algorithms. At the top of the hierarchical infrastructure, a novel OAM Handler prototype will be implemented, as part of the SDN-based ABNO architecture. The proposed C&M infrastructure will be enriched with active-control functionalities, closing the control loop, and enabling the network to b