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 'New µ-CHP network technologies for energy efficient and sustainable districts' (FC-DISTRICT) targeting Seventh Framework.

assistant: **Abstract**

The overall objective of the FC-DISTRICT project is to optimize and implement an innovative energy production and distribution concept for sustainable and energy efficient refurbished and/or new “energy autonomous” districts exploiting decentralized co-generation coupled with optimized building and district heat storage and distribution network. The concept is based on dynamic heat exchange between the building(s) (fitted with Solid Oxide Fuel Cells (SOFCs) for energy production collaborating with improved thermal storage and insulation building systems), the distribution system (optimized piping and district heating with or without a heat buffer) and the consumer (new business and service models), aiming to achieve energy balance at district level. Advanced insulation materials will be developed and implemented for the improvement of building and pipe thermal response. The energy reduction will originate from improved efficiency and cost effective high temperature (SOFC), to act as micro heat and power cogeneration (μ-CHP) systems providing demand-flexible electricity and heat to the building and district, coupled with optimised energy and power distribution networks that will optimally control heat storage at building and/or district level. FC-DISTRICT integrates a proven innovative mid-term energy technology (SOFC) with heat management at building and district level (building thermal storage coupled with intelligent distribution networks) to serve the consumer needs for economy-ecology-sustainability. It introduces a new paradigm in energy efficiency by developing materials, technologies, methodologies and systems specifically intended for integration at district level.
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 'Economic Cycles, Employment and Health: Disentangling Causal Pathways in a Cross-National Study' (HEALTHCYCLE), addressing dissemination and exploitation.

assistant: **Impact**

Research in economics suggests that business cycles are associated with population health: Physical health deteriorates during economic expansions and improves during recessions. At odds with these findings, research in epidemiology and sociology suggests that individual unemployment and job insecurity are associated with poor health and higher mortality. While studies on the impact of economic cycles have been hampered by the lack individual data to unravel causal pathways, employment studies have not adequately controlled for health selection effects when examining causality. This project aims to advancing understanding by exploiting historical fluctuations in the economy as exogenous shocks to identify causal effects of individual unemployment and job insecurity on health, disentangling the pathways that link business cycles, employment and health. Specifically, this study will assess whether patterns of individual employment induced by economic cycles during the last 50 years are associated with life-course health in 18 countries. The approach is based on a unique linkage of historical data on macro-economic cycles with (a) detailed life history event micro-data on employment and health in 18 countries recently collected in the Survey of Health, Ageing and Retirement in Europe (SHARE), the English Longitudinal study of Ageing (ELSA) and the US Health and Retirement Survey (HRS); and (b) mortality registry data individually linked to occupational histories from national census for entire populations in five European countries in the period 1960-2005. The project integrates insights and methodologies from sociology, epidemiology and economics, elucidating the pathways through which economic fluctuations influence health in societies with different institutions.
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 'Artificial Intelligence revolution in beekeeping sector: the “Internet of Bees”' (HIVE-TECH) targeting Horizon 2020.

assistant: **Abstract**

Bees are essential for human life, environment health and food production, with more than 80% of the world's food supply depending on pollination activity. Honeybees’ population is threatened by extensive use of pesticides, pathogens/parasites, trauma related to poor beehive management and climate changes. The yearly mortality rates of bees are in the range of 26% in Europe, reaching 40-50% in some countries and seasons. To reduce the incidence of bees’ mortality and improve profitability of the operators, it is essential to have tools to support efficient management of treatments and of beekeeping practices. HIVE-TECH is an IoT data-driven Decision Support System based on Artificial Intelligence algorithms for optimized beekeeping management. HIVE-TECH allows reducing the use of medical treatments and optimizing the beekeeping practices by analyzing the main life parameters of a colony: production of honey, amount of feed stock during winter, temperature and air quality in the hive, buzzing sound spectrum, integration with images from satellite and weather data. Thanks to proprietary predictive algorithms, HIVE-TECH can identify anomalous conditions (swarming, brood-less colony, queen stopping egg-laying, reduction in production, lack of feed stock, etc) and provide proactive suggestions for efficient management, acting as a Decision Support System.  The use of HIVE-TECH was proven to reduce the mortality of bees of 20%, reduce operation costs of 20% and increase the yield of production of honey of 30%.  Thanks to Data Analytics algorithms on Big Data collected, HIVE-TECH will also provide services to chemical and pharma companies, research institutes and authorities, assessing health status of bees connected to the use of new treatments, nourishments and pesticides. T
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 'Dopaminergic modulation of plasticity during social learning' to be submitted under Seventh Framework.

assistant: **Abstract**

This project combines computational modeling, electroencephalography (EEG), functional magnetic resonance imaging (fMRI) and neuropharmacology to investigate the modulation of synaptic plasticity by dopamine during learning about both social and reward-based information.  The purpose of the project is to evaluate biologically and computationally interpretable models for obtaining quantitative indices of synaptic plasticity during learning using both EEG and fMRI recording methods.  To this aim, we apply a learning paradigm that combines both social and reward-based cues to guide behaviour.  Following behavioural assessment, this paradigm will be used in pharmacological EEG and fMRI studies of healthy volunteers, employing a double-blind, placebo-controlled between-subject design with dopaminergic agents.  Joint EEG and fMRI recordings will be obtained and analysed using state of the art modeling techniques, including novel approaches that embed hierarchical Bayesian learning models into nonlinear dynamic causal models.  Specifically, we will test whether the models can quantify drug-induced changes in synaptic plasticity that occur as a function of trial-wise learning variables, such as reward prediction errors.  Finally, we will use recent advances in model-based decoding to test whether our models can detect which pharmacological manipulation took place in any given subject.  If these models prove to be mechanistically interpretable, this research could pave the way for future development of non-invasive, model-based measures of neurotransmitter regulation of synaptic plasticity in patients with psychiatric disorders.
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 'pRisoners, escapers, and their afterlives: yUgoslav pows iN itAly in World wAr II and beYond' (RUNAWAY), addressing dissemination and exploitation.

assistant: **Impact**

The case of Yugoslav prisoners of war (POWs), held in Italy from the invasion of Yugoslavia in April 1941 until their mass escape following the Italian capitulation in September 1943, is still overlooked in the literature on WWII. However, it reveals crucial dynamics of the history of 20th century Europe: the fascist imprisonment system; the diverse (civil and international) forms of resistance; and the interplay between wartime memories and the Cold War geopolitical divisions arising after 1945.RUNAWAY aims to: 1) map the Yugoslav POWs’ trajectories during the war (camps, escape routes to Switzerland) and in the aftermath (repatriation or migration); 2) illustrate how these trajectories were shaped by encounters with Italian civilian helpers and partisans; 3) in-depth analyse how their overall experiences as prisoners and fugitives were transformative to their own identities, decisions and memories over time.RUNAWAY is based on a mixed interdisciplinary methodology which, through a wide range of archival searches and oral interviews in Switzerland, Italy, Serbia and Slovenia, integrates tools of military, social and political history combining paradigms of micro- and macro-history. It ambitiously bridges academic research with digital and public history through dissemination tools (maps, databases, hiking trails’ plan) which will contribute to raise public awareness of the Nazi-fascist invasion of Yugoslavia and its consequences, aligning with the commitment to preserve the legacy of European history as a pillar of EU values. The training and research activity conducted within the project will significantly expand the research’s competencies in social, political, digital and public history.


**Keywords:** Yugoslavia, Prisoners of war, Italy, World War II, civil resist
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 'The Flagship ERA-NET — FLAG-ERA III'.

assistant: **Concept**

FLAG-ERA, the Flagship ERA-NET, gathers national and regional funding organisation with the goal of supporting, together with the European Commission, the FET Flagship initiatives and more generally the FET Flagship programme. Most funding organisations in Europe participate, either directly or as associated members. FLAG-ERA contributes to the construction of the two Flagship initiatives on Graphene and Human Brain research, through a range of activities such as the launch of joint calls supporting transnational projects in synergy with the Flagships, contribution to the Flagship partnering framework, identification of potential partnering projects, information on funding opportunities for the Flagships, and networking events. The activities in FLAG-ERA are organised around periodic events gathering all stakeholders and structured in sessions dedicated to the various objectives and related tasks of the project. FLAG-ERA is implemented as a sequence of ERA-NET projects. FLAG-ERA III is the third ERA-NET project, starting in December 2018 for a period of 6 years, and covering the FLAG-ERA Joint Transnational Calls (JTC) 2019 and JTC 2021.


**Keywords:** FET Flagships, Graphene Flaghip, Human Brain Project, Flagship Partnering Model, Partnering Projects, support ERA-NET, European Research Area
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 'Exploring the role of DNA methylation in epigenetic variation in higher plants' to be submitted under Sixth Framework.

assistant: **Abstract**

DNA methylatìon plays an essential role in regulating plant development: recent research has demonstrated that this epigenetic phenomenon plays an integral role in processes such as vernalisation, flowering and endosperm development. Even though the exploration of epigenetic phenomena has been intensively developed for the study of cancer and many human disease syndromes, only a few groups are studying these phenomena in plants, where they have major economic relevance, such as somaclonal variation or transcriptional gene silencing. Epigenetic regulation of gene expression is mediated by two processes: methylation of cytosine residues in DNA and chromatin structure. Dr Finnegan's group in CSIRO Australia is undoubtedly a world leader in this area, as it has a high international profile earned through many key contributions to plant epigenetic research over the last 10 years.Dr Rival is the leader of a research group working on the molecular determinism of somadonal variation in tropical plants of economic importance, such as oil palm. The aim of the present OIF is to consolidate Dr Rival's expertise in the understanding and study of epigenetic mechanisms implants. Dr Rival's group has shown that the occurrence of floral variants in tissue culture derived oil palm is associated with DNA hypomethylation. The time is ripe to integrate the various strategies developed by Dr Finnegan's group to the study of epigenetic regulation of somadonal variation in oil palm.The VARIOMETH fellowship will focus on the role of DNA methyl trans ferases on the determinism of somadonal variation and on the exploration of the relationship between DNA methylation and chromatin remodelling. Indeed, methylated DNA has been found to adopt a distinctive chromatin structure in the genome.
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 Europe proposal for the project 'Waves in the Inner Magnetosphere and their Effects on Radiation Belt Electrons'.

assistant: **Objectives**

The magnetosphere is a natural plasma laboratory. Radiation belts in the magnetosphere are full of high energy particles. The energetic electrons in the Earth’s radiation belts can be hazardous to Earth-orbiting satellites and astronauts in space. Many of the space systems on which modern human society depends operate in this region. The fluxes of radiation belt electrons are very dynamic, which is not fully understood due to the delicate balance between various acceleration and loss processes. Wave-particle interactions are believed to play a crucial role in the acceleration and loss of these particles. To quantify the effect of different waves on the dynamics of radiation belt electrons, comprehensive wave models are needed. Currently, there are some wave models based on satellite measurements. However, the space coverage of these wave models is not sufficient due to the orbit limit of satellites. In this project, combining state-of-the-art measurements from multiple satellites, comprehensive wave models will be developed. We will improve our sophisticated physics-based radiation belt dynamic model by using the wave models developed in this project and calculate diffusion coefficients using more realistic background magnetic field and plasma density models for the first time. Furthermore, fundamental acceleration and loss of energetic electrons caused by different waves in the Earth's radiation belts will be quantified. We will systematically validate simulation results against satellite measurements to understand the competition between acceleration and loss caused by various mechanisms. All these improvements will be critically important for answering the overarching scientific question: Why do the Earth’s radiation belts respond differently to geomagnetic storms wh
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 'Self-HEaling soft RObotics' to be submitted under Horizon 2020.

assistant: **Abstract**

While artificial intelligence, robotics and computing power advance at a stunning pace, the physical interactions between such systems remain as an unsolved question. Replacement aftermarket parts for robotics account for $400 billion a year. This figure, comparable to the entire GDP of Belgium, could be reduced if smart materials were combined with robotics and AI to heal robotic parts or prevent damage. The natural healing function has inspired chemists to impart similar properties to synthetic materials, creating “self-healing materials"". These materials have the ability to recover their key-properties after damage through a self-healing (SH) mechanism. A broad range of SH materials has been developed, based on a variety of chemical and physical principles, and has led to innovative applications. While Europe was well positioned in the discovery of new SH materials, this project aims to take a leading position in an emerging area of application of these materials. In robotics and machines in general, SH materials and healing abilities have not yet been explored. This project will realize the scientifically ambitious and technologically concrete breakthroughs to exploit the combination of self-healing materials with (damage) sensing capabilities, intelligence and automated healing in soft robotics. This implies the design of anthropomorphic materials, capable of feeling pain. By intelligent control the inflicted damage will prompt the whole system to rest and heal before (more) serious damage occurs, restoring not only structural integrity by reattaching broken parts, but also restoring complex functions like sensing and actuation. To achieve this, dedicated SH materials will be synthesized and characterised, SH actuators and sensors will be created, and dedicated co
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 'Development of a process to produce construction materials from contaminated wastes by inertisation in stable mineral phases' to be submitted under Fourth Framework.

assistant: **Abstract**

State of the art in solid waste treatment is the deposition of problematic waste in special deposits at costs of 200 - 600 ECU / ton. Existing waste treatment processes are basically not commercially viable compared to the deposition. This is true even for advanced plasma treatment ('Plasma Torch'), which is expensive and in practice, the glass material created is often not stable against elution of heavy metals and thus also needs special deposits. The objective of the project is to develop a new thermal treatment process with comparably low costs which will transform problematic wastes with basic mineral structure into dense, stable and inert products with a crystalline structure (not a glass!). This offers the possibility of developing for the first time a process which could really transform problematic solid wastes into a material which can be deposited in the lowest waste class or ultimately be used for filling / construction materials (e. 9. roads, railway tracks). The envisaged innovation is that 1) inert materials with crystalline mineral structure shall be produced from contaminated solid wastes in a one step thermal treatment;2) materials could be deposited in normal landfills or ultimately be used as construction materials; 3) process equipment shall be simpler and less expensive; 4) co-firing of cheap waste fuels shall be possible.