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 an executive summary for the EU project 'HUMAN centred design for Information Society Technologies' (HUMANIST) targeting Sixth Framework.

assistant: **Abstract**

Road telematics and driver assistance systems can constitute a real opportunity to support mobility and to improve road safety. Nevertheless, it is necessary to conceive them according to users' needs and requirements, in order to ensure their acceptability and to detect potential harmful effects of their widespread use. Human factors and cognitive engineering competencies exist in Europe but are scattered. For addressing this fragmentation of research capacities, HUMANIST gathers the most relevant European research institutes involved in Road Safety and Transport to contribute to the eSafety initiative and to improve road safety by promoting human centred design for IVIS and ADAS.This integration will allow us to increase Societal Benefits of ITS implementation, to harmonise ITS approaches among State Members, to react quickly to any new technological developments and to face international challenges by producing state of the art research, identifying knowledge gaps, avoiding redundancy of research activities. The goal of HUMANIST is to create a European Virtual Centre of Excellence on HUMAN centred design for Information Society Technologies applied to Road Transport (IVIS and ADAS), with a coherent joint program of activities, gathering research, integrating and spreading activities. Integrating Activities will permit us to manage and to consolidate the NoE structure by promoting the mobility of researchers, by optimising the pool of existing experimental infrastructures, by setting up electronic tools (common database, web-conference, e-learning) for knowledge sharing.Spreading Activities will allow us to spread widely the knowledge from HUMANIST, by organising debates with RTD projects on eSafety and relevant stakeholders, by promoting harmonisation with standardis
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 'Geotechnical Performance and Climatic Effects' (GEO-PACE) under Seventh Framework.

assistant: **Objectives**

Geotechnical infrastructure is pervasive around the world as a method of forming topographical change for highway embankments/cuttings, flooding defences, retaining walls.  In general, it provides a cost effective way of producing topographical features.  However, the maintenance costs of such pervasive infrastructure is high, for example over €800m per year is required to be invested in the Netherlands.  Geomaterials are a porous, granular material which interact with their surroundings, in particular via, water interactions, through drying via evaporation, or wetting from rain or water courses, which effect their stability.Climate change will produce more extreme weather events: more intense rainfall/storm events, longer cold/warm periods, along with more slowly increasing sea levels.  Therefore, significantly differing loads are placed upon existing geotechnical structures, and their behaviour in response to these loads should be assessed.This proposal aims to investigate the impact of climatic change on geotechnical infrastructure.  This will involve an investigation of the effects of more extreme weather due to climate change and how this will affect the stability and reliability of geotechnical structures.  The work aims to develop robust understanding of the processes and produce numerical computation models that can be used in the assessment and design of existing and new geotechnical infrastructure.The objectives are:1) To investigate the likely loading scenarios and potential failure mechanisms on geotechnical structures from changing climate.2) To investigate the impact of climate change loading on geotechnical structures through the development of numerical tools, supported with centrifuge experiments.3) To assess the change in performance of geotechnical st
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 'Marine Protected Areas Europe', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

We will map the optimal locations for Marine Protected Areas (MPA) in European seas using measures covering the range of biodiversity from species to ecosystems, including habitats. The contribution of these measures to carbon storage will be quantified and mapped. The top 10% and 30% of the area that includes most species, habitats, and ecosystems, and maximises blue carbon benefits, will be prioritised as an MPA network. The geographic scope is the Atlantic Exclusive Economic Zones of the EU and its neighbours, and all of the Mediterranean, Baltic and Black Seas. Feedback from Marine Spatial Planning (MSP) stakeholders in the regional seas on the proposed MPA network and methodology will be reported. A first data-driven classification of ecosystems in European seas will use environmental data from Copernicus and EMODnet. Environmental niche models will map thousands of species and biogenic (fauna and flora structured) habitat ranges and add to existing seabed habitat maps in EMODnet. Analyses of spatial relationships between biodiversity measures and evidence of carbon storage will support the prioritisation analyses. Parallel modelling of current connectivity and the velocity of climate change will map connectivity within the proposed MPA network and how it will accommodate species distribution shifts due to anthropogenic climate change. All data and maps will be freely available through EMODnet, the Ocean Biodiversity Information System, EC Knowledge Centre for Biodiversity, and the project’s online atlas. The atlas will provide transparency, traceability and enable reproducibility of the results. Its synthesis will show stakeholders (MSP, NGO, students, researchers) why areas have been prioritised. The use of decision support software will enable alternative networ
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 'Global Cleavages: The Shape of Political Conflict across World Regions in Historical Perspective' in the context of a Horizon Europe call.

assistant: **Objectives**

This project investigates the dimensionality of global politics. It analyses the cleavages that structure world politics and asks whetherconflicts are shaped territorially or along functional dimensions cutting across world regions. The question of whether individualsworldwide are opposed territorially or according to socio-economic and cultural groups is addressed in a long-term empirical analysisspanning historical phases from the 19th century to the present. The goal is to establish if, and under what conditions, internationaldivisions opposing world regions  coreperiphery, NorthSouth, or civilizational contrasts increasingly blur giving way to conflictlines that oppose groups functionally, such as class or education. This is done at the level of citizens, actors and institutions. GLOBALcombines a comparative approach (to detect convergence between world regions) and supranational one (to detect functionaldimensionality in global discourse and institutions). The project categorizes cleavages according to three types of inequality: socioeconomic,political-military and cultural. Unlike economic work, it focuses on the politics of inequality, i.e. how actors compete topoliticize different inequalities, with narratives legitimizing a more or less equitable redistribution of resources to correct forinequalities. A multi-pronged research strategy based on statistical, scaling, GIS and network methods is used to analyse electoral,socio-economic, roll-call, text, survey and organizational data. GLOBAL will be led by Daniele Caramani and hosted at the EuropeanGovernance and Politics Programme (European University Institute), of which he is the director. It will lead to an authored book by thePI that follows  as third instalment with common theoretical foundations  the volumes
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 Horizon 2020 proposal for the project 'Evolution of virulence in immune-compromised hosts and the adaptation of emerging viruses'.

assistant: **Objectives**

Understanding pathogen evolution is key to predicting and managing disease emergence. While theory predicts that strong immune responses will generally select for increased pathogen virulence, current work mostly ignores the effect of immune-suppressed hosts on virulence evolution and on pathogen adaptation to novel hosts during disease spread. Further, the underlying genetic basis of the evolutionary change, that is, the genomic targets of selection, is seldom detected. I will apply a novel experimental approach by evolving the viral pathogen Drosophila C Virus (DCV) in its natural host Drosophila melanogaster, using host lines that are either immune-competent or immune-compromised due to the inactivation of specific immune genes. In addition to assessing changes in the evolution of virulence in these host lines (i.e. viral growth rate and host mortality), I will also take an evolve-and-resequence approach, using ultra-deep sequencing of the viral populations during experimental evolution. Using these uniquely detailed sequence data I will (i) identify the region of the viral genome under selection, (ii) determine if rapid virus adaptation is dependent on the fixation of new mutations or changes in viral variant frequencies from standing genetic variation and (iii) measure the rate of repeatability of pathogen adaptation in identical selective regimes. This work will test the role of immune-compromised hosts on the evolution of pathogen virulence, and also dissect the mechanisms that underpin pathogen evolution during adaptation to hosts with variable immune responses.
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 'Understanding and Modelling the Earth System with Machine Learning' (USMILE), addressing dissemination and exploitation.

assistant: **Impact**

Earth system models are fundamental to understand climate change. Although they have improved significantly, considerable biases and uncertainties in their projections remain. Process parameterisations limit the models’ ability to simulate both global and regional Earth system responses, which are key for assessing climate change and its impacts on ecosystems and society. In recent years, the volume of data from high-resolution models and observations has substantially increased to petabyte scales. Concomitantly, the field of machine learning (ML) has quickly developed, promising breakthroughs in detecting and analysing non-linear relationships and patterns in large multivariate datasets. Yet, traditionally, physical modelling and ML have been often treated as two different worlds with opposite scientific paradigms (theory-driven versus data-driven). Thus, despite its great potential, ML has not yet been widely adopted for addressing the urgent need of improved understanding and modelling of the Earth system. USMILE will combine multi-disciplinary expertise in ML and process-based atmosphere and land modelling to completely rethink model development and evaluation. ML will further allow us to define novel observational constraints on Earth system feedbacks and climate projections. We will (1) develop ML algorithms to enhance Earth observation datasets accounting for spatio-temporal covariations, (2) deploy ML-based parameterisations and sub-models for clouds and land-surface processes that have hindered progress in climate modelling for decades, and (3) detect and understand modes of climate variability, multivariate extremes and uncover dynamical aspects of the Earth system with novel deep learning and causal inference techniques. USMILE will drive a paradigm shift 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 Horizon 2020 proposal on 'Three-dimensional holo’omic landscapes to unveil host-microbiota interactions shaping animal production'.

assistant: **Innovation**

Understanding the interplay between animals and microorganisms associated with them has been recognised as an essential step for improving animal health, welfare and production. To understand the biomolecular interactions that impact production processes, researchers are implementing novel analytical strategies based on studying host genomes, their microbial metagenomes as well as the different ‘omic layers interconnecting them. However, such information, derived from conventional DNA/RNA sequencing and mass spectrometry, does not provide any information about how the different biological elements are spatially distributed in the ecosystem. In consequence, many microbe-microbe and animal-microbe interactions remain hidden due to the lack of resolution of the employed techniques. Acknowledging the three-dimensional (3D) conformation of biomolecules, cells and tissues is now considered a key element for advancing the understanding of biomolecular interactions. In 3D’omics we will develop, optimise and, for the first time, implement this technology in animal production to generate the so-called 3D’omic landscapes, the most accurate reconstructions of intestinal host-microbiota ecosystems ever achieved. Using two terrestrial production systems, namely poultry and swine, we will analyse the effect of a myriad of factors, including animal development, diet, exposure to pathogens and management practices, in the shaping of 3D’omic landscapes. Through coupling our new technology with cutting edge analyses of animal health and performance, we will advance phenotypic variability and genetic evaluations of production animals to a new frontier. We foresee our solution will open new research avenues to improve animal breeding practices, develop microbiota- and host-tailored feeds 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 'State of the Art and Innovation' section for a Seventh Framework proposal on 'Fluorescence-Based Optimisation Of Sewage Treatment'.

assistant: **Innovation**

The aim of this innovative Fellowship is to provide the water industry with a robust yet straightforward technique, based on novel developments in the field of fluorescence spectroscopy, to optimize wastewater treatment works performance, to reduce energy consumption and to monitor final effluent quality in real time.The treatment of wastewater is an energy-intensive operation. The largest energy usage in wastewater treatment is found in the aeration of settled sewage in the activated sludge process (ASP) which, in isolation, contributes to over half of the energy costs associated with wastewater treatment. Currently, the process is monitored by dissolved oxygen or ammonia probes, but performance of these probes is variable and affected by location and hostile conditions in the plant. Consequently, water utilities often over-aerate in order to achieve compliance with final effluent standards. Therefore, there is a need to optimize the management of ASPs and, specifically, to optimize aeration control in order to minimize energy consumption whilst maintaining final effluent compliance.We will quantify the relationships between the fluorescence of wastewater at several stages of treatment and standard parameters (biological oxygen demand and chemical oxygen demand) in the laboratory and at full scale. We will apply these relationships to the real-time operation of wastewater treatment works to provide a real-time control system.  Meeting the project aim will deliver an appropriate technology, requiring minimal operator training, which will improve control of the ASP and minimise over-aeration, thereby offering tangible environmental and financial benefits and assisting the industry in meeting the requirements of the EU Water Framework Directive.
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 Europe proposal on 'eBRAIN-Health - Actionable Multilevel Health Data'.

assistant: **Innovation**

The Project eBrain-Health will deliver a distributed research platform for modeling and simulating complex neurobiological phenomena of human brain function and dysfunction in a data protection compliant environment. It will provide thousands of multilevel virtual brains from patients and healthy human controls for research and innovation. Brain data from multiple sources will be pre-processed. Solving the societal grand challenge of dementia is a big task. Yet it appears feasible in a collective approach. Therefore, we will build an interdisciplinary digital twin for dementia for modeling and simulating complex phenomena at the service of research infrastructure communities. EBRAINS-Health-Cloud will offer end-to-end services for personalized complex brain modeling and simulations in distributed e-infrastructures with data protection by design and by default and simulation-ready human multiscale brain data that range from molecular (genomics, proteomics, metabolomics) and cellular to electrophysiology and imaging to behavioural, clinical, life-style and environmental data as well as data from wearables. Brain data are pre-processed and annotated such that they all relate to a common reference 3D brain space. EBRAINS-Health-Cloud constitutes a blend of three large-scale research programs: the FET Flagship Human Brain Project with its EBRAINS Research Infrastructure, the EOSC project Virtual Brain Cloud with its Virtual Research Environment for sensitive data and the H2020 project AI-MIND with intelligent tools for dementia risk estimation. The project will have synergies to topics of the Digital Europe Program, such as artificial intelligence, cybersecurity and supercomputing and the Health Data Space. EBRAINS-Health-Cloud offers a next generation clinical research infr
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 'Air Transport as Information and Computation' (ARCTIC), addressing dissemination and exploitation.

assistant: **Impact**

Air transport has by and large been studied as a transportation process, in which different elements, e.g. aircraft or passengers, move within the system. While intuitive, this approach entails several drawbacks, including the need for large-scale simulations, the reliance on real data, and the difficulty of extracting macro-scale conclusions from large quantities of micro- scale results. The lack of a better approach is in part responsible for our inability to fully understand delay propagation, one of the most important phenomena in air transport. ARCTIC proposes an ambitious program to change the conceptual framework used to analyse air transport, inspired by the way the brain is studied in neuroscience. It is based on understanding air transport as an information processing system, in which the movement of aircraft is merely a vehicle for information transfer. Airports then become computational units, receiving information from their neighbours through inbound flights under the form of delays; processing it in a potentially non-linear way; and redistributing the result to the system as outbound delays. In this proposal I show how, as already common in neuroscience, such computation can be made explicit by using a combination of information sciences and statistical physics techniques: from the detection of information movements through causality metrics, up to the representation of the resulting transfer structures through complex networks and their topological properties. The approach also entails important challenges, e.g. the definition of appropriate metrics or the translation of the obtained insights into implementable policies. In the main text of the proposal I present a number of preliminary results that point towards a radically new way of thinking about the