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 'Extending NMR for functional and structural genomics.' under Sixth Framework.

assistant: **Concept**

The aim of this proposal is to develop novel computational tools that extend the scope of NMR spectroscopy and make possible functional and structural studies of larger proteins and biomolecular complexes. In particular, the aim is to develop a software pa ckage that will facilitate programmes in functional and structural genomics, i.e.: (1) The identification of interaction sites with other proteins, ligands and drugs; studies of the conformations of excited states; and studies of molecular dynamics. (2) S tructure determination of larger proteins and biomolecular complexes that are not amenable to crystallisation. This project will involve: (1) The development of novel computational tools that allow rapid assignment of NMR spectra for studies of biomolecu lar interactions and dynamics by making optimal use of existing (in particular structural) information, i.e. the NMR equivalent of molecular replacement in X-ray crystallography. (2) Extending the scope of NMR spectroscopy by developing novel tools that al low the calculation of structures without the need for prior spectral assignment. (3) The development of improved tools for the identification and quantification of signals from NMR data. These key scientific objectives will be facilitated by the developm ent and implementation of a series of computational algorithms involving Bayesian analysis, maximum entropy reconstruction, multi-dimensional decomposition , principle component analysis, and statistical- and expert system based analysis tools. These algor ithms will be implemented within a common software framework developed by the CCPN project, so that they can be flexibly employed in the development of the different tools. We will develop novel tools for the validation of structures and experimental resul ts an
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 Europe proposal on 'Time-Traveling Trees: Machine-reading the Past, Present, and Future of Climate Change Adaptation from Archival Aerial Photography'.

assistant: **Concept**

This project begins with a “book:” eight historical case studies detailing environmental change will serve to produce 8 machine learning training data sets to develop a methodology for the automatic analysis of quantitative and visual environmental data from historical aerial photographs. This will allow for a new approach to study the 1940s-1990s Great Acceleration, which caused unprecedented environmental change. Becoming ubiquitous in the 1940s, aerial photography has a sub-1-meter resolution which is key to identifying non-linear, non-monumental, and pre-industrial rural environmental infrastructure (e.g. trees, waterholes, fields) and how it has changed over time. Since satellite imagery only gained a comparable high resolution in the early 2000s, the ability to machine-read aerial photographs will quadruple the availability of high-resolution geospatial data, thereby allowing a more robust and nuanced analysis of environmental and climate change. The project goals are: (1) to develop a historical ground truthing method to enhance the interpretation of historical aerial photographs to imagine historical landscapes and how they changed; (2) to produce machine deep learning training data sets by deploying historical ground truthing to identify and extract a set of features from sample areas in the study regions; (3) to use a more systematic and more historically informed object-based methodology to machine read archival aerial photography that is deployable at different spatial (local, regional, global) and temporal scales and make it available as an Open Access online software to read historical aerial photography world-wide. By unlocking the mass data contained in archival aerial photography 3TMAAP opens a new path of research by systematically integrating historic
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 'Integrated Electronic System for Dynamic Emission Control' will create measurable scientific, societal and economic impact aligned with Fourth Framework.

assistant: **Impact**

Objectives and content As recognized by US PNGV (Partnership for a New Generation of Vehicles) programme and EUCAR masterplan, lean burn engines, which offer the potential for significant fuel gains, are spark ignited DI (Direct Injection) stratified-charge engines and DI diesel engines. In a conventional IDI (InDirect Injection) gasoline engine the premixed combustion process is decided outside the combustion chamber by mixing air and injected gasoline ahead of the intake port; its present fuel consumption (i.e. CO2 emissions) is close to an asymptotic level with a maximum further gain in efficiency that can be estimated of about 4% in 2005. On the contrary, the process of DI engines is driven by the diffusion of the injected fuel in the cylinder air, being the combustion initiated by a spark for gasoline and by compression for diesel engines, with the possibility to achieve very low CO2 level: minus 15% for DI gasoline and minus 22% for DI diesel engines with respect to present conventional gasoline engines; however, DI engines show more pollutants (and noise for diesel) than those of conventional gasoline engines. Despite of intended CO2 reduction, developmental obstacles to meet low pollutant/noise emissions in DI gasoline and diesel engines will be overcome with the following technology: - adequate injection to be matched with the given combustion system in order to achieve the proper in-cylinder air-fuel stratification - integrated engine/aftertreatment systems plus related control strategies - variable valve actuation to dominate air/fuel transient in gasoline engines -specific technologies able to significantly reduce the diesel engine noise The proposal is one of six projects dealing with the potential of DI gasoline and Diesel engines for passenger cars to ach
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 'Development of a prototype facade unit integrating natural ventilation, daylighting, solar protection, intelligent local control and photovoltaic power' goes beyond current state-of-the-art under Fourth Framework.

assistant: **Innovation**

Objectives of the project The objectives of this project are: - to develop, design, build and test a prototype of a pre-packaged and application-specific building facade unit integrating natural ventilation, daylighting and solar protection under intelligent local control and with photovoltaic power, - to deliver an industrial controller, based on artificial intelligent techniques, to optimise the interactive operation and, when required, integrate with the energy system of the building, and - to work out a comprehensive plan for the exploitation of the facade unit and the industrial controller. Technical approach The principal technical issue to overcome is the integration of the different elements to be used. Combining natural ventilation, solar protection and daylighting in an optimum way will require the development of new intelligent control algorithms. In addition this will need to be integrated into any other energy or environmental systems in the building. This issue will be addressed by two main parallel but inter-linked work packages. One will involve the immediate production of a prototype system, and subsequent physical improvements. The other will involve testing and modelling to optimise the design, and to work on the control mechanisms. After these, a smaller but important work package will address the final exploitation of the developments produced by the other two work packages. Expected achievements The main outcome of the project will be prototypes of pre-packaged and application-specific building facade units integrating natural ventilation, daylighting and solar protection under intelligent local control and with photovoltaic power. The prototypes are intended for both new buildings and major retrofitting. It is estimated that even a modest 2 % take
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 'Early detector of comorbid depression' (LUCY).

assistant: **Innovation**

Chronic patients suffering from mood disorder and depression comorbid to other pathologies or drug treatments receive poor preventive screening, insufficient early diagnosis and follow-up; the insurgence of depression with one more pathological condition amplifies the loss of Quality-Adjusted Life Expectancy expected for both depression and the other condition. Lucy is a cross-platform cloud environment continuously collecting biomarkers belonging to psychic and relational life of the person, like anxiety, depression, pain, disability, relational impairment, using screening tools officially validated by medical practice. An advanced relational system, characterized by very low cost for the patient, elaborates information and translates it into objective and communicable data available to the team of attending physicians, providing continuous, updated patient monitoring, through data-mining and smart on the go doctor interface
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 'Touch and pressure sensitive material without electronic sensors for intuitive and eye-free control of a car’s features while driving' (Tangi0).

assistant: **Innovation**

Current in-car controls have many individual components and parts included, making them very costly to assemble. If even one of the parts fails the controls won’t work and car models could be recalled by the factory to have to fix the issue. The assembled components are difficult to take apart and need to go through a timely, costly process to be recycled and not be turned into e-waste. The main problem behind in-car controls are that they cause significant distractions to drivers which has been found the cause of 80% of road traffic accidents. The problem is only becoming worse with infotainment displays imbedded with multiple lights and sensors and controls being inputted through a large touch-screen device.Tangi0 have developed a new method for operating controls in the cockpit of cars through an intuitive, tactile material with distinctive shapes that allow drivers to operate it eye-free. This reduces the safety hazards of driving distractions. Using a touch-sensitive, conductive material also means that there is a huge reduction in electronic components needed in the product making a much cheaper, environmentally friendly.Following a very promising preliminary validation of the innovative technology with Jaguar-Land Rover, Tangi0 now intend to develop and design the integrated system and fully commercialize the solution by reaching the market in 2021. Incorporated in the UK in 2015 with its core business in the European automotive market with a revenue of €200K, £450K in funding and a staff headcount of 8.The proposed work in Phase 1 of the SME instrument fits into the overall Tangi0 plan to reach market by contributing the financial resources needed to plan a fast, sound and wider deployment of the solution and the market uptake. It will also allow the SME to acco
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 'A framework for individual-based forest landscape modeling under changing climate and disturbance regimes', explaining its relevance to EU policy priorities under Seventh Framework.

assistant: **Impact**

Climate change is a major challenge for sustainable forest management. Impacts on the disturbance regime are particularly relevant in this regard. In a sound science-based sustainable forest management/ ecosystem management approach (SFEM) potential changes in climate and disturbance regimes need to be considered explicitly. Disturbance dynamics, however, are still poorly understood especially in ecosystems with interacting, climate-sensitive disturbance agents. Currently, most available model approaches suffer either from a limited spatial extent to address large scale interacting disturbance regimes (i.e. stand models) or a coarse structural resolution with regard to the information needs in resource management (i.e. landscape models). The objective of the proposed research is to bridge this gap in (i) developing an individual-based landscape modeling framework; (ii) adopting process-oriented disturbance modules and utilizing existing ecological understanding to model disturbance interactions, and (iii) testing the model framework in two case studies in the temperate forest biome. To successfully address (interactions between) disturbances as emerging property of the modeled system as well as to provide relevant levels of information in the context of SFEM an individual-based, process-oriented landscape modeling approach is proposed. The development will bring together recent advances in forest landscape modeling with efficient algorithms of modeling individual-based tree competition and process-based production. Existing disturbance models for selected agents will be adopted focusing on interactions and climate sensitivity. The framework will be parameterized and evaluated in two cases studies in the Eastern Alps (Austria) and the Pacific Northwest (USA). Overall, th
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 'Smart and flexible Separation and Valorisation of mixed bio-waste from along the agri-food value chain.' (MixMatters) targeting Horizon Europe.

assistant: **Abstract**

Mixed bio-waste generated along the agri-food value chain is an abundant resource, rich in valuable compounds e.g., polysaccharides or polyphenolic constituents. Yet, its potential as a source of recycled components is untapped - 75% of the generated bio-waste (approx. 85 M/y) is landfilled or incinerated, constituting 3% of total EU GHG emissions.Valorisation of mixed bio-waste from the agri-food sector is hindered by (1) technological challenges of removing impurities (e.g., plastics, cardboard, or metals) that would otherwise decrease the process quality, (2) logistics challenges of collecting seasonal, geographically dispersed feedstock that lower valorisation cost-benefit.MixMatters proposes an innovative system that efficiently separates and valorises three types of mixed bio-waste streams containing impurities from the agri-food industry (wholesale markets, greenhouses, food and drink industry) and obtains six high value-added outputs (powder ingredients, sugar concentrates, recombinant proteins, green fibres, bioactive compounds, plastic monomers).The MixMatters system is modular and multi-purpose - able to treat a range of mixed bio-waste streams (ensuring feedstock supply). The separation stage is automated, integrating advanced robotics and AI. It is also containerised – separating the bio-waste at waste generation sites to avoid inefficient transportation of water and stream spoilage. The system functioning is optimised via a Decision Support while transparency + traceability are ensured via a Digital Product Passport.In the project, the system will be demonstrated during 15 months at three waste generation sites, along with output validation with 6 bio-based industries and active involvement of value chain actors (partner networks outreach + 2,280 members)
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 'The impact of intra household decision making on the sustainability, efficiency and equitability of household farming in sub-Saharan Africa.' (INTRACOF), addressing dissemination and exploitation.

assistant: **Impact**

This research project will assess to what extent more participatory intra household decision making about production and resource allocation contributes to more sustainable, efficient and equitable household farming systems in sub-Saharan Africa, more specifically coffee farming systems in Uganda and Tanzania. An intervention in which household are intensely coached in participatory decision making about production, resource allocation and income expenditure will be randomly introduced among Ugandan and Tanzanian smallholder coffee farming household. A framed economic experiment will permit to appraise if provision and appropriation behaviour by spouses in households with more participatory intra household decision making, the treatment group, is more cooperative, than in control households. The impact of participatory intra household decision making on the sustainability, efficiency and equitability of the outcomes from provision and appropriation behaviour in household farming systems will be studied with using individual survey data collected among spouses in treatment and control households. Inspired by the methods and findings of this project, a practical monitoring tool will be developed to capture changes in intra household decision making about production and resource allocation and their effect on sustainable, efficient and equitable (coffee) farming in collaboration with one of the partner organisations.
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 'Characterization of newly discovered but poorly understood fungal-driven trophic processes in freshwater lake ecosystems by metatranscriptomic' to be submitted under Horizon 2020.

assistant: **Abstract**

Recent research has shown that freshwater systems, and particularly their deepest parts, abound with fungi. These fungi (predominantly in the poorly understood phyla Chytridiomycota and Cryptomycota) are largely new to science and are thought to be involved in ecological processes that convert organic matter into nutrients readily accessible to organisms at higher trophic levels. Given the ever-increasing anthropogenic pressure on freshwater systems, we need to understand these processes and the organisms involved in substantial detail. The present project will characterize these new fungi and detail the processes and ecological services they drive through next-generation sequencing of DNA (metagenomics) and RNA (metatranscriptomics) pools in freshwater depth gradients. The overarching questions are: (1) What fungi are down there? (2) What are their functions and roles? and (3) What are the implications for the study of fungi, freshwater ecosystems, and ecology at large? This combination of taxonomy/systematics and ecological/functional research questions applied to these most unexplored and remote ecological settings represents a novel approach on freshwater systems and biological diversity - one with the potential to redefine the pursuit of biological research questions across biological disciplines and beyond habitats normally targeted. The applicant has developed a new high-tech sampling device capable of stable RNA/DNA capture down to 100 m depth, and he brings substantial expertise on functional and ecological assessment of metagenomics sequence datasets to the project. The host research group is the world authority on molecular identification of fungi and comparison of fungal communities across sites and locations. Jointly this team is in a position to push the b