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: Compose the 'State of the Art and Innovation' section for a Fifth Framework proposal on 'Efficient development of offshore windfarms ('ENDOW')'.

assistant: **Innovation**

Objectives and problems to be solved: Europe has large offshore wind energy potential that is poised for exploitation to make a significant contribution to the objective of providing a clean, renewable and secure energy supply. Using experience gained through the demonstration projects currently operating offshore, this project aims to reduce uncertainties in estimating power production introduced due to wake effects in large offshore wind farms particularly those operating in areas affected by the coastal discontinuity where the atmosphere is not at equilibrium with the surface. The major objectives are to evaluate wake models in offshore environments and to develop and enhance existing wake and boundary-layer models accounting for complex stability variations to produce a design tool to assist planners and developers in optimising offshore wind farms. Description of work: The proposed work is divided into five areas. Evaluation of current wake models and production of standardised databases of observations from offshore wind farms to be used in their initialisation. These case studies are used as the basis for evaluation of five different wake models varying in complexity from engineering solutions to complex computational fluid dynamics codes. Development and enhancement of wake and boundary layer models for use in offshore areas and construction of a model interface to link these models. The performance of the models under different atmospheric conditions is utilised to develop consistent model evaluation specifications and define criteria for model improvements. The performance of the coupled models is evaluated based on simulations for existing databases and also results from an offshore wind farm experiment designed to offer direct measurements of the wake influe
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 'Verified physics-aware machine learning to transform non-linear power system stability and optimization' in the context of a Horizon 2020 call.

assistant: **Objectives**

Measures against global warming require disruptive changes in the electricity sector. Drastically reducing CO2 emissions involves replacing bulk generation units with millions of renewable energy sources, along with a rapid increase of electricity demand. Maintaining the stability of the system with current approaches becomes not only computationally intractable, but also extremely costly. Recently proposed data-driven methods have been shown to handle the sheer complexity and have an impressive performance, achieving higher accuracy while being 250-1000 times faster than traditional methods. However, power systems are safety-critical systems, where data-driven methods will never be applied if they remain a black-box. This proposal removes the barriers for the application of data-driven approaches in power system problems, proposing methods that exploit the underlying physical properties of power systems. We propose the development of physics-aware verifiable neural networks and a neural network training procedure that can supply by-design guarantees of the neural network prediction accuracy. Accuracy does no longer need to be a statistical metric. Instead, our methods can supply a provable upper bound of the prediction error over the whole input space, that the power system operators can trust. We further show how neural networks can capture non-linear constraints impossible to capture before, and can reduce any non-linear optimization problem to a tractable mixed-integer linear program with verified accuracy, potentially boosting computation speed and tractability. From a power systems context, this enables us to treat power system dynamics and optimization in a unified framework that accurately captures the true feasible region, removes various approximations, and el
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 'Remotely quantifying vegetation productivity: exploiting sun-induced fluorescence-photosynthesis relationships through field and modelling methods' in the context of a Horizon 2020 call.

assistant: **Objectives**

During the past few years airborne/spaceborne detection and quantification of sun-induced chlorophyll fluorescence (SIF) emitted by terrestrial vegetation became possible at several narrow wavelengths. These improvements in Earth Observation technology offer huge possibilities to increase our knowledge on the basic functioning of the Earth’s vegetation, i.e. the photosynthetic process of plants resulting in atmospheric carbon uptake. However, still some efforts are required for establishing well-funded relationships between SIF and photosynthesis under different plant physiological states. Hence, in order to improve the quantification of photosynthesis through SIF, the main aim of this proposal (FLUOPHOT) is to further establish the link between the SIF characteristics and both the actual and potential photosynthesis of the plant. This will be achieved by coupling dedicated field/laboratory measurements and campaigns with modelling activities. As a result of the planned activities, significant progress is foreseen in the remote quantification of vegetation productivity. FLUOPHOT strives to unravel fundamental SIF-photosynthesis systems at the leaf and canopy scale. These findings are in direct support of ESA’s candidate Earth Explorer mission FLEX, and eventually will lead to unbiased global estimates of photosynthetic carbon uptake.
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 'Gene editing and in vitro approaches to understand conceptus elongation in ungulates'.

assistant: **Concept**

In contrast to human or rodent embryos, ungulate embryos do not implant into the uterus right after blastocyst hatching. Before implantation, the hatched ungulate blastocyst must undergo dramatic morphological changes characterized by cell differentiation, proliferation and migration processes leading to the development of extra-embryonic membranes, the appearance of a flat embryonic disc and gastrulation. This prolonged preimplantation development is termed conceptus elongation and deficiencies on this process constitute the most frequent cause of reproductive failures in ungulates, including the 4 most relevant mammalian livestock species in Europe. The purpose of this project is to elucidate the factors involved in conceptus elongation by gene editing and in vitro culture approaches. A first objective will be to identify key genes involved in differentiation processes by RNA-seq analysis of different embryo derivatives from bovine conceptuses at different developmental stages. Subsequently, the function of some of the genes identified as well as others known to play a crucial role in mouse development or putatively involved in embryo-maternal interactions will be assessed. For this aim, bovine embryos in which a candidate gene has been ablated (KO) will be generated by CRISPR and transferred to recipient females to assess in vivo the function of such particular gene on conceptus development. A second set of experiments pursue the development of an in vitro system for conceptus elongation that would bypass the requirement for in vivo experiments. For this aim we will perform metabolomics and proteomics analyses of bovine uterine fluid at different stages and will use these data to rationally develop a culture system able to sustain conceptus development. The knowledge
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 'Infobel Business Data Hub = GET + USE + IMPROVE'.

assistant: **Concept**

Infobel Data Hub is a cloud-based solution that processes requests and delivers actInfobel Data Hub is a cloud-based solution that processes requests and delivers actionable data at low cost to the user. It can deliver standalone data sets or generate reports and dashboards. It currently has more than 184 million data points on businesses and individuals; and it has been tested to process 0.5 billion requests per day in less than a second each.We are already selling services using the underlying ‘Maestro’ platform powering the Data Hub. The platform’s versatility (it was developed from the ground up to be able to handle any kind of script and deliver data in any format) has reduced by 80% the total workload of our developers. This significantly reduced our cost structure allowing us to pass on the savings to clients. Big companies such as Google, Microsoft, Apple, Orange and Yelp are current clients; however, the Maestro platform breakthrough will allow Infobel to offer the same (and new) services to SMEs at an unmatched price point. The next steps are to develop APIs and APPs that use the platform to deliver business insights for any client.Infobel Data Hub will offer services via subscription, with monthly tariffs that adapt flexibly to all our customers’ needs and finances, from start-ups to large enterprises and through one-time transactions. We will reach our clients directly by expanding our sales force in other countries, and through resellers and licensers. The Data Hub will increase companies’ competitiveness, including 80% reduction of time spent on data cleaning, integration & enrichment and 15-30% cost reduction in the general data analytics process. Infobel Data Hub particularly supports SMEs, which are at disadvantage as they lack the expertise to do their
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Training Data-driven Experts in OPTimization' to be submitted under Horizon 2020.

assistant: **Abstract**

The main goal of TraDE-Opt is the education of 15 experts in optimization for data science, with a solid multidisciplinary background, able to advance the state-of-the-art. This field is fast-developing and its reach on our life is growing both in pervasiveness and impact. The central task in data science is to extract meaningful information from huge amounts of collected observations. Optimization appears as the cornerstone of most of the theoretical and algorithmic methods employed in this area. Indeed, recent results in optimization, but also in related areas such as functional analysis, machine learning, statistics, linear algebra, signal processing, systems and control theory, graph theory, data mining, etc. already provide powerful tools for exploring the mathematical properties of the proposed models and devising effective algorithms. Despite these advances, the nature of the data to be analyzed, that are “big”, heterogeneous, uncertain, or partially observed, still poses challenges and opportunities to modern optimization. The key aspect of the TraDE-Opt research is the exploitation of structure, in the data, in the model, or in the computational platform, to derive new and more efficient algorithms with guarantees on their computational performance, based on decomposition and incremental/stochastic strategies, allowing parallel and distributed implementations. Advances in these directions will determine impressive scalability benefits to the class of the considered optimization methods, that will allow the solution of real world problems. To achieve this goal, we will offer an innovative training program, giving a solid technical background combined with employability skills: management, fund raising, communication, and career planning skills. Integrated traini
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 how 'Surface runoff as source of microplastics and emerging contaminants in megacities aquifers' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

SPONGE aims at contributing to improve safe recharge of urban aquifers expanding the Sponge city strategy, in which runoff water could be collected not only to reduce waterlogging but also to foster the recharge of stressed aquifers. In this framework, great attention must be paid to water quality by focusing on microplastics contamination and its relationship with other organic and inorganic emerging contaminants. SPONGE will increase the global scientific know-how on emerging contaminants and unconventional aquifer recharge nexus in urban environments, impacting both in terms of improved water management and environmental protection. The project will open new frontiers for research on runoff and wastewater management to increase the resilience of urban aquifers to climate changes. The main expected results are: (i) quantification of microplastics contamination in rain and runoff water, assessment of their variability in time and evaluation of the relationship between microplastics and other contaminants; (ii) definition of microplastics and emerging contaminants occurrence in groundwater through the realization of experimental models; (iii) evaluation of the stored runoff water as a source to increase the resilience of the urban aquifer to the groundwater scarcity. Outcomes will be assembled in guidelines defining the best practices to manage the urban runoff and evaluate its suitability for aquifer recharge in a sponge city. In the first two years at SUSTech University (China), the researcher will perform field activities and analysis, improving his knowledge of emerging contaminants; in the third year of the project, at the University of Pisa (Italy), the fellow will finalize the elaborations and the set-up of a numerical model of the aquifer recharge. Communication
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 'New approaches in subaqueous PALEOseismology using high‐resolution SEISmics to derive single net paleoearthQUAKEs displacement and to characterize the seismic cycle on active faults' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

The study of past earthquakes is essential in modern seismic hazard assessment. Paleoseismology is a field of research that allows to characterize past earthquakes and to determine the seismic potential of the source faults based on the interpretation of the geological record. Thus, its strength is that covers much longer periods than the instrumental or historical seismic catalogues. Subaqueous paleoseismology merge and integrate paleoseismology and marine geology to detect and describe the occurrence of paleoearthquakes on faults located underwater. Recent advances in subaqueous paleoseismology have allowed to derive the submarine paleoearthquake records directly on-faults and their individual vertical displacement. The next step now is to move towards the obtaining of net displacements per event (normal and strike-slip components) and short term net slip-rates. The main objective of the PALEOSEISQUAKE project is to implement a new approach to characterize the seismic potential of active faults, with special emphasis on recognizing single net event displacements and obtaining precise net slip-rates. To achieve this objective different active fault systems located in the California margin (US) and Alboran Sea (southeastern Iberia) will be analyzed using closely-spaced grids (pseudo 3D) or 3D PCable surveys of high-resolution (HR) seismic data to derive 3D geological models where net displacements will be calculated. The resulting methodology will give more accuracy on the Quaternary slip rates of the faults and improve scientific knowledge about their behavior, but, also, reduce the uncertainties on the data used by scientists and civil protection authorities involved in seismic hazard assessment. PALEOSEISQUAKE is an original and innovative project that aims to develo
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 'Human capital accumulation, growth and equality with imperfect capital markets' will create measurable scientific, societal and economic impact aligned with Fourth Framework.

assistant: **Impact**

The goal of this research is twofold. First, I want to test against evidence from cross country data the validity of recent research that argues that intergenerational redistribution, such as public debt and social security can remove inefficiencies in human capital accumulation, following the unavailability of education loans, and therefore foster growth. Second, I plan to explore, from a theoretical point of view, the relation between income distribution, human capital accumulation and growth which arise as a consequence of the fact that a market for education loans does not exist. In particular, I will try to characterize poverty traps as situations where the unequal distribution of human capital across the population, together with its paucity, gives rise to low returns from investment in education, which, in turn, translate into persistent inequality and poverty.
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 'Beyond double-strand break repair: specific mechanisms of homologous recombination at stressed replication forks.' (RecInRep), addressing dissemination and exploitation.

assistant: **Impact**

Genomic instability is the main driving force of tumourigenesis, as highlighted by the cancer predisposition conferred by mutations in caretaker genes. DNA replication stress has recently received much attention, for its causative role in transformation and as a strategy for cancer therapy. Besides other mechanisms protecting replicating chromosomes from genotoxic stress, transient fork remodelling into four-way junctions (fork reversal) is emerging as a key transaction to assist template repair or to tolerate DNA damage and replication interference.  Factors and mechanisms modulating this transaction are just beginning to emerge. The central recombinase RAD51 was recently shown to promote fork reversal, uncovering a fork-specific role for homologous recombination (HR) proteins, beyond their established role in the double-strand break repair. However, the molecular determinants controlling RAD51-mediated fork remodelling are yet unknown. I propose to gain mechanistic insight into the role of RAD51 and other HR proteins in replication stress, using an integrated, multidisciplinary approach, which combines my current biochemical expertise with specialized cell biology and single-molecule techniques available in the host lab. In particular, I will first set up a microscopy-based screen to identify factors that regulate RAD51 recruitment at replication forks upon stress. Then, I will use a combination of single-molecule and cell biology techniques to investigate how these novel RAD51 regulators mediate in vivo RAD51 role in fork protection and remodelling. Finally, I will establish an in vitro system to study biochemically the mechanisms by which RAD51 and the novel identified factors catalyse replication fork remodelling. I believe that this ""holistic"" approach will be i