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 the 'Objectives and Scope' section of a Sixth Framework proposal for the project 'Driving under the influence of drugs, alcohol and medicine'.

assistant: **Objectives**

As consumption of psychoactive substances such as alcohol, drugs and certain medicines are likely to endanger the drivers aptitude and impaired driving is still one of the major causes for road accidents, some active steps have to be taken to reach the goal of a 50% reduction in the number of road deaths in the EU. The objective of DRUID is to give scientific support to the EU transport policy to reach the 2010th road safety target by establishing guidelines and measures to combat impaired driving.DRUID will- conduct reference studies of the impact on fitness to drive for alcohol, illicit drugs and medicines and give new insights to the real degree of impairment caused by psychoactive drugs and their actual impact on road safety- generate recommendations for the definition of analytical and risk thresholds- analyse the prevalence of drugs and medicines in accidents and in general driving, set up a comprehensive and efficient epidemiological database
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 'Novel modelled analogue data for more efficient exploitation of deepwater hydrocarbon reservoirs' (NOMAD).

assistant: **Innovation**

The objective is to reduce the development costs of deep water reservoirs, and increase the success rate of wells drilled during development, by improved reservoir characterization. Fields that lie in deep water depths often consist of sediments that have been deposited in deep water. Development of deepwater reservoirs is often sanctioned on very little well data: prospects are typically evaluated with a 3D seismic survey and sparse well and core data. Therefore maximizing the use of the expensive well data and its integration with relatively low-cost data such as 3D seismic is critical. The improved reservoir characterization will be achieved by developing a predictive 3D geological model for deepwater sediments, from data collected from the world's best geological outcrop analogue for deepwater sediments, the Tanqua Basin fan complex in South Africa.
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 'Decoding at systems-level the crosstalk between the T cell antigen receptor, the CD28 costimulator and the PD-1 coinhibitor under physiological and pathological conditions.'.

assistant: **Concept**

Although the T cell antigen receptor (TCR) occupies a central place in T cell physiology, it does not work in isolation and the signals it triggers are tuned by receptors that convey positive (costimulators) and negative (coinhibitors) informations. We lack a satisfying comprehension of the way T cells integrate such multiple inputs to make informed decisions. The proteomics-based methodology we developed around the TCR places us in a favorable situation to decode at systems-level the crosstalk between the TCR, the CD28 costimulator and the PD-1 coinhibitor signaling pathways. The novelty of our approach stems from (1) its use of primary T cells, (2) its capacity to probe the architecture and dynamics of signalosomes resulting from T cell-antigen presenting cell encounters, (3) the attention we pay to the stoichiometry of the studied signalosomes, a key parameter largely ignored in previous studies, and (4) its multidisciplinary nature straddling molecular and organismal scales.Our specific aims are:Aim 1. To understand how the TCR and CD28 signaling pathways cooperate to achieve optimal T cell responses. Aim 2. To determine whether CD28 is the sole target of the PD-1 coinhibitor.Aim 3. To determine how under inflammatory conditions CD28 functions can be superseded by those of OX40, a costimulator of the TNFR superfamily.Aim 4. To unveil how malfunctions of LAT, a key signaling hub used by the TCR, disrupt the TCR-CD28 crosstalk and result in unique pathogenic T cells that by becoming ‘autistic’ to TCR signals and addicted to CD28 signals lead to severe immunopathologies.We think that combining genetic, epigenomics, proteomics, and computational approaches creates ideal experimental conditions to understand at system-levels how TCR, costimulatory, coinhibitory and infla
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 'Synthetic Data Generation Framework for Integrated Validation of Use Cases and AI Healthcare Applications' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

SYNTHIA is an ambitious collaboration between public and private institutions to facilitate the responsible use of Synthetic Data (SD) in healthcare applications. The project will improve the methodological and technical aspects of SD Generation (SDG) by developing new techniques and advancing established ones for different data modalities, including genomics and imaging, to improve the generation of realistic multimodal and longitudinal data. This project will provide the research community with approaches for transparent benchmarking of alternative SDG methods for specific applications, identify and establish evaluation metrics and methodologies, and contribute to the standardisation of an evaluation assessment framework for SD. Robust evidence of SD applicability in a set of use cases across a broad spectrum of medical conditions will be crucial to demonstrate the potential of SD to accelerate data-driven solutions of equivalent quality to those derived from real patient data. Furthermore, legal and regulatory implications of SD use will be analysed with the aim of delivering an assurance framework to guide secure SD utilization in healthcare.These significant breakthroughs will be implemented through the open SYNTHIA federated platform, facilitating responsible SD use by the health research community. The platform will facilitate users´ long-term access to extensively validated, reusable synthetic datasets, as well as to SDG workflows and SD assessment frameworks. The federated infrastructure will rely on extended open-source frameworks for interoperability with other data-sharing infrastructures in the context of the European Health Data Space. A multidisciplinary collaboration of SDG developers, FAIR data experts, clinical researchers, developers of therapies and
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 novel, selective inhibitors of HIF prolydroxylase' (2002-2006).

assistant: **Concept**

In all multi-cellular organisms, oxygen homeostasis represents a fundamental physiological challenge and requires the co-ordinated regulation of an array of genes. Under hypoxic conditions levels of hypoxia inducible factor, a transcription factor, rise and enable transcription of an array of genes involved in the hypoxic response. Under nomadic conditions, levels of HIF are suppressed by the action of oxygen dependent hydroxyls. This project will contribute to the biochemical knowledge and medicinal exploitation of the hydroxyls (HIF PH), which have been recently established as key regulators of cellular oxygen sensing. Selective inhibitors not only for HIF PH in general, but also for tissue specific HIF PH is-enzymes will be designed and tested. Initially, analogues of 2-oxoglutarate for the HIF PH will be synthesised with the aim of mimicking enzyme/sub-co substrate complexes. X-ray crystallography, NMR, UV/vies, mass spectrometry and kinetics will study these complexes. The second phase will involve the design and testing of isohyets inhibitors and will involve a combination of binding to co substrate and substrate binding sites. A series of peptide and peptidomimetic libraries based on the modelled HIF: HIF hydroxyls interactions will be synthesised. By varying the LXXLAP binding motif of the substrate, it should be possible to obtain inhibitors selective towards HIF PH is forms. It is hoped that inhibitors of HIF PHs might be used to activate HIF and enhance angiogenesis in is chemic/ hypoxic disease. Therapeutic possibilities include the induction pro-angiogenesis via HIF PH inhibitors as an alternative to heart by-pass surgery and that inhibitors may be used as a treatment for treatment of anaemia, providing an alternative for the use of expensive recombinant er
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 'A Federated Collaborative Care  Cure Cloud Architecture for Addressing the Needs of Multi-morbidity and Managing Poly-pharmacy' (C3-Cloud) targeting Horizon 2020.

assistant: **Abstract**

C3-Cloud will establish an ICT infrastructure enabling a collaborative care and cure cloud to enable continuous coordination of patient-centred care activities by a multidisciplinary care team and patients/informal care givers. A Personalised Care Plan Development Platform will allow, for the first time, collaborative creation and execution of personalised care plans for multi-morbid patients through systematic and semi-automatic reconciliation of clinical guidelines, with the help of Decision Support Modules for risk prediction and stratification, recommendation reconciliation, poly-pharmacy management and goal setting. Fusion of multimodal patient and provider data will be achieved via C3-Cloud Interoperability Middleware for seamless integration with existing information systems. An Integrated Terminology Server with advanced semantic functions will enable meaningful analysis of multimodal data and clinical rules. Active patient involvement and treatment adherence will be achieved through a Patient Empowerment Platform ensuring patient needs are respected in decision making and taking into account preferences and psychosocial aspects. Co-design and 4-layered multi-method multi-stakeholder evaluation will lead to a user friendly solution. To demonstrate feasibility, pilot studies will focus on diabetes, heart failure, renal failure, depression in different comorbidity combinations. Pilots will operate for 15 months in 3 European regions with diverse health and social care systems and ICT landscape, which will allow for strengthening the evidence base on health outcomes and efficiency gains. C3-Cloud adaptive patient pathways and organisational models validated by patient organisations and a clinical reference group, change management and training guidelines will be sh
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 'EVALUATION OF COMBINED FOOD AND ENERGY SYSTEMS FOR MORE EFFICIENT LAND USE AND ENVIRONMENTALLY BENIGN SUSTAINABLE PRODUCTION' will create measurable scientific, societal and economic impact aligned with Fourth Framework.

assistant: **Impact**

One important reason why conventional agriculture is environmentally unsustainable is that it is a net user of large amounts of fossil fuels either via direct energy costs for machinery use or via derived agrochemical products. as such it is far from being an energy-neutral activity. This proposal attempts to develop a mainstream and productive arable agricultural system that has a minimum goal of energy neutrality. Thus, it will aim to show how it may be possible to integrate, spatially, renewable energy production from biomass crops with low input food crops. It attempts to develop, conceptually, novel combined food and energy (CFE) integrated farming systems that are not only fossil fuel energy-neutral but which also use the biomass crops as ecological reservoirs to enhance biological control within adjacently grown food crops. The CFE system builds upon the principles of integrated crop production, and takes them further in the direction of energy neutrality in agriculture, reduction of inputs and improved profitability for producers. The CFE system produces both food and renewable energy, but it produces them together; this is its crucial point.Via modelling and experimentation we will assess integrated CFE systems for their ecological value, their financial and environmental economic value, and their balance of renewable and non-renewable energy. We will compare CFE systems with a range of food crops plus woody biomass for heat and electricity production.Development of CFE systems should lead to improvements in landscape and land use efficiency. This proposal also aims to improve the physical and biological diversity of farms their production efficiency and profitability, and lead to waste minimisation with reduced environmental costs thereby contributing to ecolo
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 'Advens-pv' in the context of a Fifth Framework call.

assistant: **Objectives**

The 2nd International Workshop Advances in Energy Studies" is being organized after the excellent results of its first edition in 1998, to bring together the world leading scientists in the diverse fields that collectively represent what has been termed "Biophysical Analysis". Leading scientists in the fields of Ecology, Energy Analysis and Ecological Economics are being invited to meet again at Porto Venere (Italy) during the last week of May, 2000, to further develop the search of a common ground in definitions of scales and boundaries, methods, policy initiatives and future research needs required to generate a more balanced pattern of humanity and environment. Such a workshop, to be held every other year, is much needed to rekindle interest and build critical mass in shifting societal attention once again toward policy debates concerning sustainable use of resources and energy and their relationship to the economies of humanity."
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 'enabling Clinical Research in Emergency and Acute care Medicine through automated data extraction' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

To date, the possibility of doing research on quality-of-care assessment in emergency medicine has clashed against sustainability problems. The vast number of patients visiting an ED and the staff shortage that often afflicts these departments make ad hoc data collections unattainable.The only way to fill the gap between the need for clinical research and the availability of robust data is to directly extract such data from the EDs electronic health records (EHRs), avoiding dedicated data collection. Achieving this goal would enable distributed clinical research, which is now too much restricted to academic centres, and allow to leverage of clinical information to address a multitude of research questions.Nonetheless, obtaining consistent data from EHRs is a complex task. While a small part of the data registered in EHRs is structured (such as lab test results and vital parameters), most of the useful information on patients' conditions is variably contained in free text (e.g. presence of signs and symptoms, suspected and confirmed diagnosis, anamnesis, etc.). Moreover, as a proactive follow-up of ED patients is unfeasible, relying on the existing data sources is also necessary to measure the outcome of the patients at the most appropriate time interval for the research question of interest.This proposal has three main aims:1) to develop new technical solutions to extract reliable clinical information from structured and unstructured data contained in different electronic patient files;2) to FAIRify (i.e. making data Findable, Accessible, Interoperable, and Re-usable) the established databases for clinicians, researchers, health policymakers and citizens while respecting the European and national legislations;3) to pilot the exploitation of the established databases in
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 Seventh Framework proposal on 'Mismatched Decoding in Information Theory with Applications to Channel Modelling'.

assistant: **Innovation**

The recent trend to communicate over short temporal durations undermines two key assumptions in the underlying communication-theoretic analysis, namely: 1) perfect knowledge of the stochastic nature of the channel may be difficult to acquire, a state of affairs which renders impossible the use of optimum decoding rules; 2) efficient analytical techniques valid for infinitely long transmission durations, such as large-deviation theory, are loose and of difficult theoretical justification and ought therefore to be replaced by tools valid for arbitrary transmission lengths. Similarly, the coding schemes used to attain the entropy or capacity limits often turn out to be inefficient. This projects aims at addressing these challenges by devising new tools, theoretical and practical, which expand the validity and usefulness of previous communication-theoretic methods. These new tools are inspired by common practice in two adjacent disciplines, i.e. physics (electromagnetic and quantum electrodynamics) and probability, and besides have the potential to impact not only the field of information theory, but quantum information theory and applied probability.More specifically, the work plan covers the study (both theoretical and practical) of phase noise and time-varying channels in general, energy-modulation as a possible alternative for non-coherent transmission; the study of general achievable rates with mismatched decoding, with special emphasis to the performance of source and channel codes at finite blocklenghts and with applications to decoder design.
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 Synthesis Oracle for Scalable and Sustainable Porous Nanomaterials' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

Adoption of new, low-carbon processes like adsorption-based separation and refrigeration is essential to drive Europe’s net zero transition and achieve the targets of the European Green Deal. Advanced porous nanomaterials like metal-organic frameworks (MOFs) are key enabling technologies to achieve this goal, however their adoption is stymied by a chicken-and-egg problem: identifying the most cost-effective MOF for each application, and investing sufficient research time to reduce synthesis costs for the best candidates. In this fellowship I will address this dual challenge by developing a holistic platform to systematise MOF synthesis methodology research, hence both accelerating and generalising the hunt for an optimal synthesis method. Using a combination of text mining and molecular simulations, I will construct a semantic knowledge graph representation for the synthesis of the common MOF UiO-66, creating a database of synthesis methods connected to to material quality profiles. Once created, I will develop a UiO-66 synthesis “oracle” – a machine learning model which can generate novel synthesis procedures from target material quality profiles. I will then refine the synthesis oracle functions experimentally using Bayesian active learning to identify the global optimum synthesis parameters with respect to several quality metrics. Finally, I will transfer the UiO-66 synthesis oracle to a family of related MOF materials, using further lab synthesis and active learning to fine-tune the quality of these secondary MOFs. This new paradigm in nanomaterial synthesis optimisation will be transformative in the field of synthesis optimisation and intensification, representing a novel approach that is generalisable to any synthesis target. In turn, completion of this fellowship